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1

Masic, Izet. "Acta Informatica Medica Journal Review in 2021." Acta Informatica Medica 30, no. 1 (2022): 88. http://dx.doi.org/10.5455/aim.2022.30.88-90.

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Acta Informatica Medica journal (www.actainformmed.org), as Biomedical Informatics journal, during past 30 years of existing played important role in distribution of knowledge and experience within this scientific field, by publishing contributions of the biomedical experts from worlwide and spreading of Biomedical informatics knowledge and experiences in scientific and academic community. Acta Informatica Medica journal has been founded in the year 1993 as official journal of Bosnian-Herzegovinan Society of Medical Informatics (BHSMI). In the year 2019 Acta Informatica Medica has been accepted as official journal of the European Federation for Medical Informatics (www.efmi.org), besides 3 other journals: International Journal of Medical Informatics, Methods of Information in Medicine and European Journal of Biomedical Informatics. Journal Acta Informatica Medica is abstracted and indexed in 30 on-line data bases, including Pubmed, Pubmed Central, Scopus, Embase, Hinari, etc. The journal follows the Guidelines and recommendations of ICJME, COPE, EASE, WAME, etc. as well as the recommendations of the “Sarajevo Declaration on Integrity and Visibility of Scholarly Journals”, accepted by 17 Editors of biomedical journals at “SWEP 2018” Conference held in Sarajevo and printed in the countries in South-Eastern Europe. The journal supports presentations at conferences held in Bosnia and Herzegovina. The abstract papers presented at “The Mediterranean Seminar on Science Writing, Editing and Publishing“ – “SWEP 2016”, “SWEP 2018”; “SWEP 2020” and “SWEP 2021”, also found its place in the journal, by which we met our goal of promoting science and scientific publication at the area of Bosnia and Herzegovina and other countries in the region. SCImago rank for 2021 announced the bibliometric list of the journals deposited in SCOPUS indexed database. On the list are 16 journals which are published in Bosnia and Herzegovina, and between them are 7 within biomedical sciences. Three highest are Bosnian Journal of Basic Medical Sciences - H-Index is 29, Medical Archives - H-Index is 26 and Acta Informatica Medica - H-Index is 24, etc. Acta Informatica Medical journal has Impact Score, Overall Ranking, h-index, SJR, Rating, Publisher updated on May 27, 2022: Impact Score - 1.87; h-Index - 24; Rank -12749 and SJR - 0.372.
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Schleyer, T. K. "Dental Informatics: An Emerging Biomedical Informatics Discipline." Advances in Dental Research 17, no. 1 (December 2003): 4–8. http://dx.doi.org/10.1177/154407370301700103.

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Biomedical informatics is a maturing discipline. During the last forty years, it has developed into a research discipline of significant scale and scope. One of its subdisciplines, dental informatics, is beginning to emerge as its own entity. While there is a growing cadre of trained dental informaticians, dental faculty and administrators in general are not very familiar with dental informatics as an area of scientific inquiry. Many confuse informatics with information technology (IT), are unaware of its scientific methods and principles, and cannot relate dental informatics to biomedical informatics as a whole. This article delineates informatics from information technology and explains the types of scientific questions that dental and other informaticians typically explore. Scientific investigation in informatics centers primarily on model formulation, system development, system implementation, and the study of effects. Informatics draws its scientific methods mainly from information science, computer science, cognitive science, and telecommunications. Dental informatics shares many types of research questions and methods with its parent discipline, biomedical informatics. However, there are indications that certain research questions in dental informatics require novel solutions that have not yet been developed in other informatics fields.
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Ammenwerth, E., H. Dickhaus, P. Knaup, C. Lovis, J. Mantas, V. Maojo, F. J. Martin-Sanchez, et al. "Biomedical Informatics – A Confluence of Disciplines?" Methods of Information in Medicine 50, no. 06 (2011): 508–24. http://dx.doi.org/10.3414/me11-06-0003.

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SummaryBackground: Biomedical informatics is a broad discipline that borrows many methods and techniques from other disciplines.Objective: To reflect a) on the character of biomedical informatics and to determine whether it is multi-disciplinary or inter-disciplinary; b) on the question whether biomedical informatics is more than the sum of its supporting disciplines and c) on the position of biomedical informatics with respect to related disciplines.Method: Inviting an international group of experts in biomedical informatics and related disciplines on the occasion of the 50th anniversary of Methods of Information in Medicine to present their viewpoints.Results and Conclusions: This paper contains the reflections of a number of the invited experts on the character of biomedical informatics. Most of the authors agree that biomedical informatics is an interdisciplinary field of study where researchers with different scientific backgrounds alone or in combination carry out research. Biomedical informatics is a very broad scientific field and still expanding, yet comprised of a constructive aspect (designing and building systems). One author expressed that the essence of biomedical informatics, as opposed to related disciplines, lies in the modelling of the biomedical content. Interdisciplinarity also has consequences for education. Maintaining rigid disciplinary structures does not allow for sufficient adaptability to capitalize on important trends nor to leverage the influences these trends may have on biomedical informatics. It is therefore important for students to become aware of research findings in related disciplines. In this respect, it was also noted that the fact that many scientific fields use different languages and that the research findings are stored in separate bibliographic databases makes it possible that potentially connected findings will never be linked, despite the fact that these findings were published. Bridges between the sciences are needed for the success of biomedical informatics.
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Lovis, C. "Evidence-based Biomedical Informatics." Yearbook of Medical Informatics 22, no. 01 (August 2013): 47–50. http://dx.doi.org/10.1055/s-0038-1638831.

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Summary Objectives: An overview of current trends and achievements in building more evidence of using information sciences technologies in biomedical informatics. Methods: Extensive search using PubMed for published papers in this field in 2012. A selection process organized in three steps: a) identification and first selection of papers; b) international peer-review by at least 4 reviewers for each paper; c) final selection of five papers by the editorial board of the Yearbook based on the international reviewing results and a balanced coverage of the topics. Results: Synopsis of the articles selected for the IMIA Yearbook 2012 and an invited opinion paper written by leading scientists in this field. Conclusion: Evidence based health informatics is an important and ubiquitous trend in biomedical informatics. However, this research field has to be enhanced even further and, more importantly, achievements have to be put in practice.
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5

Johnson, L. A. "Biomedical Informatics Training for Dental Researchers." Advances in Dental Research 17, no. 1 (December 2003): 29–33. http://dx.doi.org/10.1177/154407370301700108.

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Dental researchers collaborating closely with biomedical informaticians have achieved many advances in oral health research, such as in mapping human genetics and addressing oral health disparities. Advances will continue to increase as dental researchers and biomedical informaticians study each others’ disciplines to increase the effectiveness of their collaborative research. The combined skills will greatly increase the effectiveness of dental research. This manuscript summarizes the core of biomedical informatics curriculum (biomedical informatics knowledge, data management, and software engineering) for dental research. It also summarizes the obstacles that must be overcome for all dental research students to receive the training in biomedical informatics they require. These issues are: a lack of biomedical informatics faculty, a lack of biomedical informatics courses, and a lack of accreditation standards. Last, intra- and inter-institutional collaboration solutions are described. “The decades ahead will be witness to advances in science and technology as yet unforeseen. Dentistry will benefit from these advances and must be intimately involved in their progression.” ( American Dental Association, 2002 )
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6

Masys, Daniel. "Biomedical Informatics." JAMA 296, no. 21 (December 6, 2006): 2620. http://dx.doi.org/10.1001/jama.296.21.2624.

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7

Pape, L., C. D. Page, J. W. Shavlik, G. N. Phillips, P. Brennan, and D. J. Severtson. "Biomedical Informatics Training at the University of Wisconsin-Madison." Yearbook of Medical Informatics 16, no. 01 (August 2007): 149–56. http://dx.doi.org/10.1055/s-0038-1638539.

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SummaryThe purpose of this paper is to describe biomedical informatics training at the University of Wisconsin-Madison (UW Madison).We reviewed biomedical informatics training, research, and faculty/trainee participation at UW-Madison.There are three primary approaches to training 1) The Computation & Informatics in Biology & Medicine Training Program, 2) formal biomedical informatics offered by various campus departments, and 3) individualized programs. Training at UW-Madison embodies the features of effective biomedical informatics training recommended by the American College of Medical Informatics that were delineated as: 1) curricula that integrate experiences among computational sciences and application domains, 2) individualized and interdisciplinary cross training among adiverse cadre of trainees to develop key competencies that he or she does not initially possess, 3) participation in research and development activities, and 4) exposure to a range of basic informational and computational sciences.The three biomedical informatics training approaches immerse students in multidisciplinary training and education that is supported by faculty trainers who participate in collaborative research across departments. Training is provided across a range of disciplines and available at different training stages. Biomedical informatics training at UW-Madison illustrates how a large research University, with multiple departments across biological, computational and health fields, can provide effective and productive biomedical informatics training via multiple bioinformatics training approaches.
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Wigertz, O., J. Persson, and H. Ahlfeldt. "Teaching Medical Informatics to Biomedical Engineering Students: Experiences over 15 Years." Methods of Information in Medicine 28, no. 04 (October 1989): 309–12. http://dx.doi.org/10.1055/s-0038-1636807.

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Abstract:The Departments of Biomedical Engineering and Medical Informatics at Linkoping University in Sweden were established in 1972-1973. The main purpose was to develop and offer courses in medicine, biomedical engineering and medical informatics to students in electrical engineering and computer science, for a specialization in biomedical engineering and medical informatics. The courses total about 400 hours of scheduled study in the subjects of basic cell biology, basic medicine (terminology, anatomy, physiology), biomedical engineering and medical informatics. Laboratory applications of medical computing are mainly taught in biomedical engineering courses, whereas clinical information systems, knowledge based decision support and computer science aspects are included within the medical informatics courses.
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9

Ammenwerth, E., and W. O. Hackl. "Job Profiles of Biomedical Informatics Graduates." Methods of Information in Medicine 54, no. 04 (2015): 372–75. http://dx.doi.org/10.3414/me14-01-0139.

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SummaryBackground: Biomedical informatics programs exist in many countries. Some analyses of the skills needed and of recommendations for curricular content for such programs have been published. However, not much is known of the job profiles and job careers of their graduates.Objectives: To analyse the job profiles and job careers of 175 graduates of the biomedical informatics bachelor and master program of the Tyrolean university UMIT.Methods: Survey of all biomedical informatics students who graduated from UMIT between 2001 and 2013.Results: Information is available for 170 graduates. Eight percent of graduates are male. Of all bachelor graduates, 86% started a master program. Of all master graduates, 36% started a PhD. The job profiles are quite diverse: at the time of the survey, 35% of all master graduates worked in the health IT industry, 24% at research institutions, 9% in hospitals, 9% as medical doctors, 17% as informaticians outside the health care sector, and 6% in other areas. Overall, 68% of the graduates are working as biomedical informaticians. The results of the survey indicate a good job situation for the graduates.Conclusions: The job opportunities for biomedical informaticians who graduated with a bachelor or master degree from UMIT seem to be quite good. The majority of graduates are working as biomedical informaticians. A larger number of comparable surveys of graduates from other biomedical informatics programs would help to enhance our knowledge about careers in biomedical informatics.
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10

Garcia-Remesal, M., C. Bielza, J. Crespo, D. Perez-Rey, C. Kulikowski, and V. Maojo. "Biomedical Informatics Publications: a Global Perspective." Methods of Information in Medicine 51, no. 02 (2012): 131–37. http://dx.doi.org/10.3414/me11-01-0061.

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SummaryBackground: Biomedical Informatics (BMI) is a broad discipline, having evolved from both Medical Informatics (MI) and Bioinformatics (BI). An analysis of publications in the field-should provide an indication about the geographic distribution of BMI research contributions and possible lessons for the future, both for research and professional practice.Objectives: In part I of our analysis of biomedical informatics publications we presented results from BMI conferences. In this second part, we analyse BMI journals, which provide a broader perspective and comparison between data from conferences and journals that ought to confirm or suggest alternatives to the original distributional findings from the conferences.Methods: We manually collected data about authors and their geographical origin from various MI journals: the International Journal of Medical Informatics (IJMI), the Journal of Biomedical Informatics (JBI), Methods of In-formation in Medicine (MIM) and The Journal of the American Medical Informatics Association (JAMIA). Focusing on first authors, we also compared these findings with data from the journal Bioinformatics.Results: Our results confirm those obtained in our analysis of BMI conferences – that local and regional authors favor their corresponding MI journals just as they do their conferences. Consideration of other factors, such as the increasingly open source nature of data and software tools, is consistent with these findingsConclusions: Our analysis suggests various indicators that could lead to further, deeper analyses, and could provide additional insights for future BMI research and professional activities.
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11

Pigott, K., A. Rapley, J. Robinson, A. Pritchard-Copley, and S. de Lusignan. "An Informatics Benchmarking Statement." Methods of Information in Medicine 46, no. 04 (2007): 394–98. http://dx.doi.org/10.1160/me0442.

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Summary Objectives: Benchmarking statements provide a mechanism for making academic standards explicit within a subject area. They allow comparisons between courses to be based on learning outcomes rather than by defining a curriculum. No such statement has been produced for informatics. In the absence of any established benchmarking statements for informatics a new biomedical informatics course at St. George’s has developed a first benchmarking statement — which defines the skills knowledge and understanding a biomedical informatics student should acquire by the time they completethe course. Methods: Review of national biomedical science and computing subject benchmarking statements and academic educational objectives and national occupational competencies in informatics. Results: We have developed a twenty-item benchmarking statement and this is available on-line at: http://www.gpinformatics.org/benchmark2006/. This benchmarking statement includes a definition and justification for all twenty statements. We found international educational objectives and national informatics competencies useful and these are mapped to each one. National subject benchmarks for computing and biomedical science were less useful and have not been systematically mapped. Conclusions: Benchmarking the skills, knowledge and understanding that a student should acquire during their course of study may be more useful than setting a standard curriculum. This benchmarking statement is a first step towards defining the learning outcomes and competencies a student of this discipline should acquire. The international informatics community should consider moving from a standard curriculum to an agreed subject benchmarking statement for medical, health and biomedical informatics.
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12

Zimmerman, J. L. "Defining Biomedical Informatics Competency: The Foundations of a Profession." Advances in Dental Research 17, no. 1 (December 2003): 25–28. http://dx.doi.org/10.1177/154407370301700107.

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Is biomedical informatics a science or a profession? This question has been asked of many members in the biomedical informatics community, yet we still lack a response that galvanizes our community. We debate the issues over lunch. We create long, multi-threaded e-mail discussions, we write papers on the topic, and still we aren’t able to convince ourselves—let alone the rest of the scientific community. In this paper, I will describe a curriculum model for biomedical informatics and research that is developing at Columbia University, Department of Biomedical Informatics (DBMI). We believe that a strong educational foundation creates competent professionals who, in turn, comprise a bioinformatics culture. The outcome of DBMI’s curriculum design and competency project will be a set of biomedical informatics competencies which we believe will define the core knowledge and skills of the field.
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Garcia-Remesal, M., C. Bielza, J. Crespo, D. Perez-Rey, C. Kulikowski, and V. Maojo. "Biomedical Informatics Publications: a Global Perspective." Methods of Information in Medicine 51, no. 01 (2012): 82–90. http://dx.doi.org/10.3414/me11-01-0060.

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SummaryBackground: In the past decade, Medical Informatics (MI) and Bioinformatics (BI) have converged towards a new discipline, called Biomedical Informatics (BMI) bridging informatics methods across the spectrum from genomic research to personalized medicine and global healthcare. This convergence still raises challenging research questions which are being addressed by researchers internationally, which in turn raises the question of how biomedical informatics publications reflect the contributions from around the world in documenting the research.Objectives: To analyse the worldwide participation of biomedical informatics researchers from professional groups and societies in the best-known scientific conferences in the field. The analysis is focused on their geographical affiliation, but also includes other features, such as the impact and recognition of the conferences.Methods: We manually collected data about authors of papers presented at three major MI conferences: Medinfo, MIE and the AMIA symposium. In addition, we collected data from a BI conference, ISMB, as a comparison. Finally, we analyzed the impact and recognition of these conferences within their scientific contexts.Results: Data indicate a predominance of local authors at the regional conferences (AMIA and MIE), whereas other conferences with a worldwide scope (Medinfo and ISMB) had broader participation. Our analysis shows that the influence of these conferences beyond the discipline remains somewhat limited.Conclusions: Our results suggest that for BMI to be recognized as a broad discipline, both in the geographical and scientific sense, it will need to extend the scope of collaborations and their interdisciplinary impacts worldwide.
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Schou, C. D., J. Frost, and W. V. Maconachy. "Information assurance in biomedical informatics systems." IEEE Engineering in Medicine and Biology Magazine 23, no. 1 (January 2004): 110–18. http://dx.doi.org/10.1109/memb.2004.1297181.

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Quispe-Juli, Cender Udai, Victor Hugo Moquillaza-Alcántara, and Katherine Arapa-Apaza. "Massive open online courses on biomedical informatics." F1000Research 8 (February 14, 2019): 180. http://dx.doi.org/10.12688/f1000research.17693.1.

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This study aimed to identify the characteristics of massive open online courses (MOOCs) related to biomedical informatics offered in several plataforms. We conducted an observational study on specialized MOOCs platforms to find courses related to biomedical informatics, in 2018. Our search identified 67 MOOCs on biomedical informatics. The majority of MOOCs were offered by Coursera (71.6%, 48/67), English was the most common language (95.5%, 64/67). The United States developed the majority of courses (73.1%, 49/67), with the vast majority of MOOCs being offered by universities (94%, 63/67). The majority of MOOCs were in bioinformatics (56.7%, 38/67) and data science (47.7%, 32/67). In conclusion, the MOOCs on biomedical informatics were focused in bioinformatics and data science, and were offered in English by institutions in the developing world.
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Hochheiser, Harry, and Rupa S. Valdez. "Human-Computer Interaction, Ethics, and Biomedical Informatics." Yearbook of Medical Informatics 29, no. 01 (August 2020): 093–98. http://dx.doi.org/10.1055/s-0040-1701990.

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Objectives: To provide an overview of recent work at the intersection of Biomedical Informatics, Human-Computer Interaction, and Ethics. Methods: Search terms for Human-Computer Interaction, Biomedical Informatics, and Ethics were used to identify relevant papers published between 2017 and 2019.Relevant papers were identified through multiple methods, including database searches, manual reviews of citations, recent publications, and special collections, as well as through peer recommendations. Identified articles were reviewed and organized into broad themes. Results: We identified relevant papers at the intersection of Biomedical Informatics, Human-Computer Interactions, and Ethics in over a dozen journals. The content of these papers was organized into three broad themes: ethical issues associated with systems in use, systems design, and responsible conduct of research. Conclusions: The results of this overview demonstrate an active interest in exploring the ethical implications of Human-Computer Interaction concerns in Biomedical Informatics. Papers emphasizing ethical concerns associated with patient-facing tools, mobile devices, social media, privacy, inclusivity, and e-consent reflect the growing prominence of these topics in biomedical informatics research. New questions in these areas will likely continue to arise with the growth of precision medicine and citizen science.
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Griffin, Ashley C., Tiffany I. Leung, Jessica D. Tenenbaum, and Arlene E. Chung. "Gender representation in U.S. biomedical informatics leadership and recognition." Journal of the American Medical Informatics Association 28, no. 6 (February 8, 2021): 1270–74. http://dx.doi.org/10.1093/jamia/ocaa344.

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Abstract Objective This study sought to describe gender representation in leadership and recognition within the U.S. biomedical informatics community. Materials and Methods Data were collected from public websites or provided by American Medical Informatics Association (AMIA) personnel from 2017 to 2019, including gender of membership, directors of academic informatics programs, clinical informatics subspecialty fellowships, AMIA leadership (2014-2019), and AMIA awardees (1993-2019). Differences in gender proportions were calculated using chi-square tests. Results Men were more often in leadership positions and award recipients (P < .01). Men led 74.7% (n = 71 of 95) of academic informatics programs and 83.3% (n = 35 of 42) of clinical informatics fellowships. Within AMIA, men held 56.8% (n = 1086 of 1913) of leadership roles and received 64.1% (n = 59 of 92) of awards. Discussion As in other STEM fields, leadership and recognition in biomedical informatics is lower for women. Conclusions Quantifying gender inequity should inform data-driven strategies to foster diversity and inclusion. Standardized collection and surveillance of demographic data within biomedical informatics is necessary.
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Geissbuhler, A., R. Haux, and C. Kulikowski. "Biomedical Informatics for Sustainable Health Systems. Editorial." Yearbook of Medical Informatics 16, no. 01 (August 2007): 6–8. http://dx.doi.org/10.1055/s-0038-1638519.

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SummaryTo provide an editorial introduction to the 2007 IMIA Yearbook of Medical Informatics with an overview of its contents and contributors.A brief overview of the main theme of “Biomedical Informatics for Sustainable Health Systems”, and an outline of the purposes, contents, format, and acknowledgment of contributions for the 2007 IMIA Yearbook.In resonance with the MEDINFO 2007 conference theme “Building Sustainable Health Systems”, this issue of the Yearbook examines the role of healthcare informatics in helping face the challenge of sustainability for our health systems, through a number of original contributions, and selected papers published during the past 12 months.This timely topic, along with the review and surveys on the main streams of research in medical informatics, offer a complete overview of the development of our field. This current state of affairs is put in the perspective of the fortieth birthday of IMIA, reflecting on the past achievements of the Association, and outlining its potential to continue shaping the world of medical informatics.
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Martin-Sanchez, F., H. Billhardt, I. Iakovidis, C. Kulikowski, and V. Maojo. "Establishing an Agenda for Biomedical Informatics." Methods of Information in Medicine 42, no. 02 (2003): 121–25. http://dx.doi.org/10.1055/s-0038-1634322.

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Summary Objective: To describe potential areas of collaboration between Medical Informatics (BI) and Bioinformatics (BI) and their effects on planning future work in both disciplines. Methods: Some reflections on the objectives and rationale underpinning MI and BI are given, and preliminary results from the BIOINFOMED workgroup, supported by the European Commission, are introduced. Results: Applications from both subfields suggest topics for sharing and exchange between the subfields within the emerging field of Biomedical Informatics. Conclusions: We suggest how the nature and degree of collaboration between the sub-disciplines can impact future work in molecular medicine.
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Sushanth, V. Hirekalmath, and Mohamed Imranulla. "Dental Informatics: A Click to the Future." Journal of Oral Health and Community Dentistry 11, no. 2 (2017): 38–43. http://dx.doi.org/10.5005/jp-journals-10062-0009.

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ABSTRACT Biomedical informatics is one of the upgrading maturing disciplines. One of its subdisciplines, dental informatics, is beginning to emerge as its own entity. While there are numerous trained dental informaticians, dental faculty, and administrators, in general, they are not very familiar with dental informatics as an area of scientific inquiry. Scientific investigations in informatics center primarily around model formulation, system development, system implementation, and the study of effects. Informatics draws few of its scientific methods mainly from information science, computer science, cognitive science, and telecommunications. Dental informatics provides many types of research questions and methods from its parent discipline, biomedical informatics. However, there are indications that certain research questions in dental informatics require concrete solutions that have not yet been developed in other informatics fields. This article provides an overview of the unique features of biomedical and information sciences. How to cite this article Madhu PP, Kumar PGN, Prashant GM, Sushanth VH, Imranulla M, Nair AR. Dental Informatics: A Click to the Future. J Oral Health Comm Dent 2017;11(2):38-43.
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Brown, S. H., G. Wright, and P. L. Elkin. "Biomedical Informatics: We Are What We Publish." Methods of Information in Medicine 52, no. 06 (2013): 538–46. http://dx.doi.org/10.3414/me13-01-0041.

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SummaryIntroduction: This article is part of a For-Discussion-Section of Methods of Information in Medicine on “Biomedical Informatics: We are what we publish“. It is introduced by an editorial and followed by a commentary paper with invited comments. In subsequent issues the discussion may continue through letters to the editor.Objective: Informatics experts have attempted to define the field via consensus projects which has led to consensus statements by both AMIA. and by IMIA. We add to the output of this process the results of a study of the Pubmed publications with abstracts from the field of Biomedical Informatics.Methods: We took the terms from the AMIA consensus document and the terms from the IMIA definitions of the field of Biomedical Informatics and combined them through human review to create the Health Infor -matics Ontology. We built a terminology server using the Intelligent Natural Language Processor (iNLP). Then we downloaded the entire set of articles in Medline identified by searching the literature by “Medical Informatics” OR “Bioinformatics”. The articles were parsed by the joint AMIA / IMIA terminology and then again using SNOMED CT and for the Bioinformatics they were also parsed using HGNC Ontology.Results: We identified 153,580 articles using “Medical Informatics” and 20,573 articles using “Bioinformatics”. This resulted in 168,298 unique articles and an overlap of 5,855 articles. Of these 62,244 articles (37%) had titles and abstracts that contained at least one concept from the Health Infor -matics Ontology. SNOMED CT indexing showed that the field interacts with most all clinical fields of medicine.Conclusions: Further defining the field by what we publish can add value to the consensus driven processes that have been the mainstay of the efforts to date. Next steps should be to extract terms from the literature that are uncovered and create class hierarchies and relationships for this content. We should also examine the high occurring of MeSH terms as markers to define Biomedical Informatics. Greater understanding of the Biomedical Informatics Literature has the potential to lead to improved self-awareness for our field.
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Bendezu-Quispe, Guido, L. Max Labán-Seminario, Miguel Ángel Arce-Huamani, Ramón R. Cámara-Reyes, Daniel Fernandez-Guzman, Brenda Caira-Chuquineyra, Diego Urrunaga-Pastor, and Andrés Guido Bendezú-Martínez. "Biomedical informatics: characterization of the offer of massive open online courses." Medwave 22, no. 11 (December 5, 2022): e2631-e2631. http://dx.doi.org/10.5867/medwave.2022.11.2631.

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Introduction Informatics applied to health sciences has brought cutting-edge solutions to healthcare problems. However, the number of health professionals trained in "Health Informatics" is low. Virtual education, such as massive online open courses, provide the opportunity for training in this field. Objective To estimate the global offer of massive online open biomedical informatics courses and characterize their content. Methods A search for massive online open courses was conducted throughout December 2021 on 25 platforms offering these courses. The search strategy included the terms “health informatics” and “biomedical informatics”. The application areas of biomedical informatics, platform, institution, duration, time required per week, language, and subtitles available for each course were evaluated. Data were analyzed descriptively, reporting absolute and relative frequencies. Results Our search strategy identified 1333 massive online open courses. Of these, only 79 were related to health informatics. Most of these courses (n = 44; 55.7%) were offered through Coursera. More than half (n = 55; 69.6%) were conducted by U.S. institutions in english (n = 76; 96.2%). Most courses focused on areas of translational bioinformatics (n = 27; 34.2%), followed by public health informatics (n = 23; 29.1%), and clinical research informatics (n = 13, 16.5%). Conclusions We found a significant supply of massive online open courses on health informatics. These courses favor the training of more professionals worldwide, mostly addressing competencies to apply informatics in clinical practice, public health, and health research.
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Kulikowski, C. W., and C. A. Kulikowski. "Biomedical and Health Informatics in Translational Medicine." Methods of Information in Medicine 48, no. 01 (2009): 4–10. http://dx.doi.org/10.3414/me9135.

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Summary Objectives: To discuss translational medicine advances challenging biomedical and health informatics. Methods: Reviewing material presented at the Heidelberg 35th Anniversary Workshop, summarizing results from the 1st AMIA Summit on Translational Bioinformatics and discussing the opportunities, difficulties, and ethical dilemmas confronting researchers, practitioners, and healthcare managers in transitional bioinformatics. Results: The first results in translational medicine are appearing in the biomedical literature. All rely on bioinformatics methods for analysis. Conclusions: Translational medicine introduces new problems of interpretation and application to healthcare. Applying results to complex human-machine systems raises ethical issues, which are augmented in healthcare informatics. Bridging biological, medical, and informatics knowledge requires new epistemological approaches.
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Geissbuhler, Antoine, and C. A. Kulikowski. "Closing the Loops in Biomedical Informatics. Editorial." Yearbook of Medical Informatics 18, no. 01 (August 2009): 15–16. http://dx.doi.org/10.1055/s-0038-1638632.

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Summary Objectives To provide an editorial introduction to the 2009 IMIA Yearbook of Medical Informatics with an overview of its contents and contributors. Methods A brief overview of the main theme, and an outline of the purposes, contents, format, and acknowledgment of contributions for the 2009 IMIA Yearbook. Results This 2009 issue of the IMIA Yearbook highlights important, beneficial loops which, if closed, could lead to considerable advances in the field of biomedical informatics and, indirectly, in healthcare and biomedical research. Progress towards closing the loops and remaining gaps are identified from the recent literature, illustrated by selected papers published during the past 12 months. Conclusion Reviews and Surveys of the main research sub-fields in biomedical informatics in the Yearbook provide an overview of progress and current challenges across the spectrum of the discipline.
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Pradhan, Dr Dibyabhaba. "Biomedical Informatics: From Clinical Data to Personalized Medicine." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 04, no. 3 (September 15, 2014): 301–2. http://dx.doi.org/10.58739/jcbs/v04i3.11.

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Haux, R., A. Geissbuhler, J. Holmes, M. C. Jaulent, S. Koch, C. A. Kulikowski, C. U. Lehmann, et al. "On Contributing to the Progress of Medical Informatics as Publisher." Yearbook of Medical Informatics 26, no. 01 (August 2017): 9–15. http://dx.doi.org/10.1055/s-0037-1606525.

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Summary May 1st, 2017, will mark Dieter Bergemann’s 80th birthday. As Chief Executive Officer and Owner of Schattauer Publishers from 1983 to 2016, the biomedical and health informatics community owes him a great debt of gratitude. The past and present editors of Methods of Information in Medicine, the IMIA Yearbook of Medical Informatics, and Applied Clinical Informatics want to honour and thank Dieter Bergemann by providing a brief biography that emphasizes his contributions, by reviewing his critical role as an exceptionally supportive publisher for Schattauer’s three biomedical and health informatics periodicals, and by sharing some personal anecdotes. Over the past 40 years, Dieter Bergemann has been an influential, if behind-the-scenes, driving force in biomedical and health informatics publications, helping to ensure success in the dissemination of our field’s research and practice.
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Haux, R., A. Geissbuhler, J. Holmes, M. C. Jaulent, S. Koch, C. A. Kulikowski, C. U. Lehmann, et al. "On Contributing to the Progress of Medical Informatics as Publisher." Yearbook of Medical Informatics 26, no. 01 (2017): 9–15. http://dx.doi.org/10.15265/iy-2017-003.

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SummaryMay 1st, 2017, will mark Dieter Bergemann’s 80th birthday. As Chief Executive Officer and Owner of Schattauer Publishers from 1983 to 2016, the biomedical and health informatics community owes him a great debt of gratitude. The past and present editors of Methods of Information in Medicine, the IMIA Yearbook of Medical Informatics, and Applied Clinical Informatics want to honour and thank Dieter Bergemann by providing a brief biography that emphasizes his contributions, by reviewing his critical role as an exceptionally supportive publisher for Schattauer’s three biomedical and health informatics periodicals, and by sharing some personal anecdotes. Over the past 40 years, Dieter Bergemann has been an influential, if behind-the-scenes, driving force in biomedical and health informatics publications, helping to ensure success in the dissemination of our field’s research and practice.
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Maojo, V., and F. Martin-Sanchez. "Biomedical Informatics and the Convergence of Nano-Bio-Info-Cogno (NBIC) Technologies." Yearbook of Medical Informatics 18, no. 01 (August 2009): 134–42. http://dx.doi.org/10.1055/s-0038-1638652.

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Summary Objectives To analyze the role that biomedical informatics could play in the application of the NBIC Converging Technologies in the medical field and raise awareness of these new areas throughout the Biomedical Informatics community. Methods Review of the literature and analysis of the reference documents in this domain from the biomedical informatics perspective. Detailing existing developments showing that partial convergence of technologies have already yielded relevant results in biomedicine (such as bioinformatics or biochips). Input from current projects in which the authors are involved is also used. Results Information processing is a key issue in enabling the convergence of NBIC technologies. Researchers in biomedical informatics are in a privileged position to participate and actively develop this new scientific direction. The experience of biomedical informaticians in five decades of research in the medical area and their involvement in the completion of the Human and other genome projects will help them participate in a similar role for the development of applications of converging technologies —particularly in nanomedicine. Conclusions The proposed convergence will bring bridges between traditional disciplines. Particular attention should be placed on the ethical, legal, and social issues raised by the NBIC convergence. These technologies provide new directions for research and education in Biomedical Informatics placing a greater emphasis in multidisciplinary approaches.
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Hersh, W. "The Full Spectrum of Biomedical Informatics Research and Education at OHSU." Yearbook of Medical Informatics 14, no. 01 (August 2005): 167–72. http://dx.doi.org/10.1055/s-0038-1638237.

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Although the biomedical informatics field is small relative to others in the life and health sciences, the breadth of subject domains, types of research, and occupations is vast. The biomedical informatics program at Oregon Health & Science University exemplifies the breadth in the field. At the center of our full spectrum of activities in informatics, however, is a core philosophy of the discipline that drives our research, educational, and other programs.
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Mantas, J. "Biomedical and Health Informatics Education – the IMIA Years." Yearbook of Medical Informatics 25, S 01 (August 2016): S92—S102. http://dx.doi.org/10.15265/iy-2016-032.

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Summary Objective: This paper presents the development of medical informatics education during the years from the establishment of the International Medical Informatics Association (IMIA) until today. Method: A search in the literature was performed using search engines and appropriate keywords as well as a manual selection of papers. The search covered English language papers and was limited to search on papers title and abstract only. Results: The aggregated papers were analyzed on the basis of the subject area, origin, time span, and curriculum development, and conclusions were drawn. Conclusions: From the results, it is evident that IMIA has played a major role in comparing and integrating the Biomedical and Health Informatics educational efforts across the different levels of education and the regional distribution of educators and institutions. A large selection of references is presented facilitating future work on the field of education in biomedical and health informatics.
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Haux, R., and P. J. Murray. "On IMIA‘s International Activities in Health and Biomedical Informatics Education." Methods of Information in Medicine 49, no. 03 (2010): 305–9. http://dx.doi.org/10.3414/me09-02-0019.

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Summary Background: Education has long been, and continues to be, one of the major thematic areas of the activities of IMIA, the International Medical Informatics Association. Objective: To report on IMIA’s past activities and to discuss possible future perspectives on IMIA’s role on biomedical and health informatics education. Methods: Summarizing past activities by searching in reports and publications. Making suggestions for wider discussion on possible future activities. Results: Since its inception, IMIA has been active in the field of education, mainly through its working group on education. Among other activities, nine working conferences have been held, many of which have resulted in publications as outcomes, which have helped to exchange knowledge on the development of high-quality health and biomedical informatics education. Recommendations on education in health and medical informatics were endorsed by IMIA in 1999, and a revised version is currently in preparation. Conclusions: IMIA should continue to stimulate the exchange of knowledge on a range of aspects of health and biomedical informatics education in the countries and regions of the world, with IMIA’s academic institutional members playing an increasing role. Establishing procedures for the international accreditation of high-level programs in health and biomedical informatics through IMIA is one of several areas that need to be discussed as IMIA plans and develops its future activities.
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Haux, Reinhold, Casimir Kulikowski, Suzanne Bakken, Simon de Lusignan, Michio Kimura, Sabine Koch, John Mantas, et al. "Research Strategies for Biomedical and Health Informatics." Methods of Information in Medicine 56, S 01 (2017): e1-e10. http://dx.doi.org/10.3414/me16-01-0125.

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SummaryBackground: Medical informatics, or biomedical and health informatics (BMHI), has become an established scientific discipline. In all such disciplines there is a certain inertia to persist in focusing on well-established research areas and to hold on to well-known research methodologies rather than adopting new ones, which may be more appropriate.Objectives: To search for answers to the following questions: What are research fields in informatics, which are not being currently adequately addressed, and which methodological approaches might be insufficiently used? Do we know about reasons? What could be consequences of change for research and for education?Methods: Outstanding informatics scientists were invited to three panel sessions on this topic in leading international conferences (MIE 2015, Medinfo 2015, HEC 2016) in order to get their answers to these questions.Results: A variety of themes emerged in the set of answers provided by the panellists. Some panellists took the theoretical foundations of the field for granted, while several questioned whether the field was actually grounded in a strong theoretical foundation. Panellists proposed a range of suggestions for new or improved approaches, methodologies, and techniques to enhance the BMHI research agenda.Conclusions: The field of BMHI is on the one hand maturing as an academic community and intellectual endeavour. On the other hand vendor-supplied solutions may be too readily and uncritically accepted in health care practice. There is a high chance that BMHI will continue to flourish as an important discipline; its innovative interventions might then reach the original objectives of advancing science and improving health care outcomes.
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Fuller, S., I. Kalet, and P. Tarczy-Hornoch. "Biomedical and Health Informatics Research and Education at the University of Washington." Yearbook of Medical Informatics 09, no. 01 (August 2000): 107–13. http://dx.doi.org/10.1055/s-0038-1637949.

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AbstractAlthough an extensive medical informatics research program as well as courses and training experiences in biomedical informatics have existed at the University of Washington (UW) for many years, a formal home did not exist until 1997 when the Division of Biomedical Informatics was created in the Department of Medical Education, School of Medicine. Since that time the expansion of the research, service and teaching programs has been rapid with a key milestone being a university commitment to provide funding, space and faculty to support the development of a new graduate program in Biomedical and Health Informatics.Hallmarks of the biomedical and health informatics program at the University of Washington include:- Strong shared belief that informatics research can contribute to the improvement of healthcare and health;- Large, multidisciplinary faculty including faculty from computer science, library and information science as well as the health sciences schools (dentistry, medicine, nursing, pharmacy, and public health and community medicine);- Comprehensive research and development partnership with the University of Washington Medical Centers information systems group and the UW Primary Care Network to move research from the laboratory to operational clinical systems;- Extensive and diverse regional setting in which to study information needs and develop informatics solutions in primary care settings;- Lack of barriers to interdisciplinary research and teaching.
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Unertl, Kim M., Braden Y. Yang, Rischelle Jenkins, Claudia McCarn, Courtney Rabb, Kevin B. Johnson, and Cynthia S. Gadd. "Next generation pathways into biomedical informatics: lessons from 10 years of the Vanderbilt Biomedical Informatics Summer Internship Program." JAMIA Open 1, no. 2 (July 30, 2018): 178–87. http://dx.doi.org/10.1093/jamiaopen/ooy030.

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Abstract Objectives To examine roles for summer internship programs in expanding pathways into biomedical informatics, based on 10 years of the Vanderbilt Department of Biomedical Informatics (DBMI) Summer Research Internship Program. Materials and Methods Vanderbilt DBMI’s internship program is a research-intensive paid 8–10 week program for high school, undergraduate, and graduate students. The program is grounded in a “Windows, Mirrors, and Open Doors” educational framework, and is guided by an evolving set of design principles, including providing meaningful research experiences, applying a multi-factor approach to diversity, and helping interns build peer connections. Results Over 10 years, 90 individuals have participated in the internship program, with nine students participating for more than one summer. Of 90 participants, 38 were women and 52 were men. Participants represented a range of racial/ethnic groups. A total of 39 faculty members have served as primary mentor for one or more interns. Five key lessons emerged from our program experience: Festina Lente (“Make haste slowly”), The Power of Community, Learning by Doing, Thoughtful Partnerships Lead to Innovation, and The Whole is More Than the Sum of Its Parts. Discussion Based on our experience, we suggest that internship programs should become a core element of the biomedical informatics educational ecosystem. Continued development and growth of this important educational outreach approach requires stable funding sources and building connections between programs to share best practices. Conclusion Internship programs can play a substantial role in the biomedical informatics educational ecosystem, helping introduce individuals to the field earlier in their educational trajectories.
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Kulikowski, Casimir A. "Donald A. B. Lindberg: Inspiring Leader and Visionary in Biomedicine, Healthcare, and Informatics." Yearbook of Medical Informatics 29, no. 01 (April 17, 2020): 253–58. http://dx.doi.org/10.1055/s-0040-1701972.

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Summary Background: As Director of the US National Library of Medicine (NLM) for 30 years, Dr. Donald A. B. Lindberg was instrumental in bringing biomedical research and healthcare worldwide into the age of genomic and translational medicine through the informatics systems developed by the NLM. Lindberg opened free access and worldwide public dissemination of all the NLM's biomedical literature and databases, thus helping transform not only biomedical research like the Human Genome Project and its successors, but also the practices of medicine and healthcare internationally. Guiding, leading, and teaching-by-example at national, regional, and global levels of biomedical and healthcare informatics, Lindberg helped coalesce a dynamic discipline that provides a foundation for the human understanding which promotes the future health of our world. Objectives: To provide historical insight into the scientific, technological, and practical clinical accomplishments of Donald Lindberg, and to describe how this led to contributions in the worldwide interdisciplinary evolution of informatics, and its impact on the biosciences and practices of medicine, nursing, and other healthcare-related disciplines. Methods: Review and comment on the publications, scientific contributions, and leadership of Donald Lindberg in the evolution of biomedical and health informatics which anticipate the vision, scholarship, research in the field, and represent the deeply ethical humanism he exhibited throughout his life. These were essential in producing the informatics systems, such as the Unified Medical Language System (UMLS), MEDLINE, PubMed, PubMed Central, and ClinicalTrials.gov, which, together with NLM training programs and conferences, made possible the interactions among researchers and practitioners leading to the past quarter-century of rapid and dramatic advances in biomedical scientific inquiry and clinical discoveries, openly shared across the globe. Conclusion: Dr. Lindberg was a uniquely talented physician and pioneering researcher in biomedical and health informatics. As the main leader in developing and funding innovative informatics research for more than 30 years as Director of the National Library of Medicine, he helped bring together the most creative interdisciplinary researchers to bridge the worlds of biomedical research, education, and clinical practice. Lindberg's emphasis on open-access to the biomedical literature through publicly shared computer-mediated methods of search and inquiry are seen as an example of ethical scientific openness.
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Groth, T., A. Hasman, C. Safran, E. H. Shortliffe, R. Haux, A. T. McCray, and R. A. Miller. "On Exemplary Scientific Conduct Regarding Submission of Manuscripts to Biomedical Informatics Journals." Methods of Information in Medicine 45, no. 01 (2006): 1–3. http://dx.doi.org/10.1055/s-0038-1634029.

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SummaryAs the Editors of leading international biomedical informatics journals, the authors report on a recent pattern of improper manuscript submissions to journals in our field. As a guide for future authors, we describe ethical and pragmatic issues related to submitting work for peer-reviewed journal publication. We propose a coordinated approach to the problem that our respective journals will follow. This Editorial is being jointly published in the following journals represented by the authors: Computer Methods and Programs in Biomedicine, International Journal of Medical Informatics, Journal of Biomedical Informatics, Journal of the American Medical Informatics Association, and Methods of Information in Medicine.
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Sarkar, I. N. "Evaluation of Biomedical Infor matics Innovations and Their Impact on Public Health." Methods of Information in Medicine 51, no. 02 (2012): 93–94. http://dx.doi.org/10.1055/s-0038-1627041.

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SummaryThis issue of Methods of Information in Medicine contains four feature articles that are focused on the theme of evaluation. Evaluation approaches are increasingly essential in the assessment of determining the potential impact of contemporary informatics innovations. The featured articles offer practical perspectives to determining the impact of advancements. Internationally, there are significant advances being made across biomedical informatics and its related sub-disciplines. As with any scientific discipline, it is important for practitioners to be able to relate the potential importance of findings. To this end, it is especially important for biomedical informaticians to convey, in a quantifiable and comparable form, the significance of the informatics findings – not only to peers but also to those across the biomedical research spectrum. As such, the feature articles in this issue describe the evaluation of core infrastructure and fundamental informatics innovations as well as evaluation of informatics-based resources that are a core aspect of public health initiatives.
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Turner, Anne, Julio Facelli, Monique Jaspers, Thomas Wetter, Daniel Pfeifer, Laël Cranmer Gatewood, Terry Adam, et al. "Solving Interoperability in Translational Health." Applied Clinical Informatics 08, no. 02 (April 2017): 651–59. http://dx.doi.org/10.4338/aci-2017-01-cr-0012.

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SummaryBackground: In the summer of 2016 an international group of biomedical and health informatics faculty and graduate students gathered for the 16th meeting of the International Partnership in Health Informatics Education (IPHIE) masterclass at the University of Utah campus in Salt Lake City, Utah. This international biomedical and health informatics workshop was created to share knowledge and explore issues in biomedical health informatics (BHI).Objective: The goal of this paper is to summarize the discussions of biomedical and health informatics graduate students who were asked to define interoperability, and make critical observations to gather insight on how to improve biomedical education.Methods: Students were assigned to one of four groups and asked to define interoperability and explore potential solutions to current problems of interoperability in health care.Results: We summarize here the student reports on the importance and possible solutions to the “interoperability problem” in biomedical informatics. Reports are provided from each of the four groups of highly qualified graduate students from leading BHI programs in the US, Europe and Asia.Conclusion: International workshops such as IPHIE provide a unique opportunity for graduate student learning and knowledge sharing. BHI faculty are encouraged to incorporate into their curriculum opportunities to exercise and strengthen student critical thinking to prepare our students for solving health informatics problems in the future.Citation: Turner AM, Facell JC, Jaspers M, Wetter T, Pfeifer D, Gatewood LC, Adam T, Li Y-C, Lin M-C, Evans RS, Beukenhorst A, van Mens H, Tensen E, Bock C, Fendrich L, Seitz P, Suleder J, Aldekhyyel R, Bridgeman K, Hu Z, Sattler A, Guo S-Y, Mohaimenul IMd, Ningrum DNA, Tung H-R, Bian J, Plasek JM, Rommel C, Burke J, Sohi H. Solving interoperability in translational health: perspectives of students from the International Partnership in Health Informatics Education (IPHIE) 2016 master class. Appl Clin Inform 2017; 8: 651–659 https://doi.org/10.4338/ACI-2017-01-CR-0012
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Aller, Raymond D. "Review of Biomedical Informatics." Journal of Pathology Informatics 5, no. 1 (January 2014): 42. http://dx.doi.org/10.1016/s2153-3539(22)00311-x.

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Boguski, Mark S., and Martin W. McIntosh. "Biomedical informatics for proteomics." Nature 422, no. 6928 (March 2003): 233–37. http://dx.doi.org/10.1038/nature01515.

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41

Najarian, Kayvan, Rachid Deriche, Mark A. Kon, and Nina S. T. Hirata. "Bioinformatics and Biomedical Informatics." Scientific World Journal 2013 (2013): 1. http://dx.doi.org/10.1155/2013/591976.

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42

Weiss, Aaron. "Health and biomedical informatics." netWorker 13, no. 4 (December 2009): 18–25. http://dx.doi.org/10.1145/1655737.1655743.

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43

Bernstam, Elmer V., Jack W. Smith, and Todd R. Johnson. "What is biomedical informatics?" Journal of Biomedical Informatics 43, no. 1 (February 2010): 104–10. http://dx.doi.org/10.1016/j.jbi.2009.08.006.

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44

Ryoo, H. S., and M. Ehrgott. "Biomedical informatics and OR." OR Spectrum 30, no. 2 (December 5, 2007): 219–21. http://dx.doi.org/10.1007/s00291-007-0115-2.

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45

Kumar, Anand, Barry Smith, and Daniel D. Novotny. "Biomedical Informatics and Granularity." Comparative and Functional Genomics 5, no. 6-7 (2004): 501–8. http://dx.doi.org/10.1002/cfg.429.

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An explicit formal-ontological representation of entities existing at multiple levels of granularity is an urgent requirement for biomedical information processing. We discuss some fundamental principles which can form a basis for such a representation. We also comment on some of the implicit treatments of granularity in currently available ontologies and terminologies (GO, FMA, SNOMED CT).
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Schleyer, Titus K. L. "Dental Informatics: An Emerging Biomedical Informatics Discipline." Journal of Dental Education 67, no. 11 (November 2003): 1193–200. http://dx.doi.org/10.1002/j.0022-0337.2003.67.11.tb03710.x.

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47

Khairat, Saif, Ryan Sandefer, David Marc, and Lee Pyles. "A review of biomedical and health informatics education: A workforce training framework." Journal of Hospital Administration 5, no. 5 (July 3, 2016): 10. http://dx.doi.org/10.5430/jha.v5n5p10.

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Objective: The purpose of this paper is to review the current state of health information technology (HIT) training programs and identify limitations in workforce expectations and student/trainee level of preparedness. A framework is proposed to build a more effective training program, differentiate HIT and health informatics, and emphasize the critical role of interprofessional collaboration for informatics-related curriculum. We define interprofessionalism as the multi-sector collaborations among academia, industry (Health Care Organizations), and vendors to produce competent informaticians.Methods: Critical review of published HIT and health informatics curricular competencies was conducted, including those published by the Office of the National Coordinator (ONC) for HIT, the American Medical Informatics Association (AMIA), the International Medical Informatics Association (IMIA), and the Council on Accreditation for Health Informatics and Information Management. A review of literature related to HIT and health informatics education and training was also completed.Results: The paper presents a framework for promoting health informatics training with an interprofessional foundation. The core components of the curricular competencies include understanding the healthcare system, biomedical data, computer programming, data analytics, usability, and technology infrastructure. To effectively deliver the content, programs require collaboration between academic institutions, healthcare organizations, and industry vendors.Conclusions: HIT and health informatics-related training programs, in their current form, are not meeting industry needs. The proposed framework addresses the current limitations by providing unique pathways for content delivery by promoting interprofessional collaboration and partnerships between academia and industry.
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Hasman, A., and R. Haux. "Modeling in Biomedical Informatics – An Exploratory Analysis (Part 1)." Methods of Information in Medicine 45, no. 06 (2006): 638–42. http://dx.doi.org/10.1055/s-0038-1634128.

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Summary Objectives: Modeling is a significant part of research, education and practice in biomedical and health informatics. Our objective was to explore, which types of models of processes are used in current biomedical/ health informatics research, as reflected in publications of scientific journals in this field. Also the implications for medical informatics curricula were investigated. Methods: Retrospective, prolective observational study on recent publications of the two official journals of the International Medical Informatics Association (IMIA), the International Journal of Medical Informatics (IJMI) and Methods of Information in Medicine (MIM). Results: 384 publications have been analyzed, 190 of IJMI and 194 of MIM. In regular papers (69 in IJMI, 62 in MIM), analyzed here in part 1, all of these model types could be found. In many publications we observed a mixture of models, being used to solve the ‘core’ research questions and also to systematically evaluate the research done. Knowledge of (and models for) software engineering and project management are also often needed. IJMI seems to have a closer focus on research concerning health information systems and electronic patient records, with a strong emphasis on evaluation. MIM seems to have a broader range of research approaches, including also statistical modeling and computational intensive approaches. The aim to provide solutions for problems related to data, information and knowledge processing and to study the general principles of processing data, information and knowledge in medicine and health care in order to contribute to improve the quality of health care, and of research and education in medicine and the health sciences was given in all publications. Conclusions: Modeling continues to be a major task in research, education and practice in biomedical and health informatics. Knowledge and skills concerning a broad range of model types is needed.
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van Bemmel, J. H. "The Young Person’s Guide to Biomedical Informatics." Methods of Information in Medicine 45, no. 06 (2006): 671–80. http://dx.doi.org/10.1055/s-0038-1634133.

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Summary Objective: To draw a parallel between the challenges by which a research department in biomedical informatics is confronted and those of a symphony orchestra; in both areas different disciplines and various groups of instruments can be discerned. Method: Retrospective, personal review of how to conduct biomedical research. Results: The importance of mastering one’s instrument and the harmony between the team members is stressed. The conductor has to motivate all players so that they can have a successful career. Competition between orchestras and performance assessments determine survival and success. A record of refereed publications is crucial for continued existence. Conclusions: Biomedical informatics is typically multidisciplinary. Hypotheses underlying research should be carefully formulated. The time from research to application may easily take 20 years or more. Mutual trust and knowing each other’s competences is essential for success. A good leader gives enough room to all team members to develop their careers. The outcomes of assessment studies are directly related to the quality of publications.
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Reichertz, Peter. "Health Care and Informatics: On IMIA’s Opportunities and Responsibilities in its 5th Decade." Yearbook of Medical Informatics 17, no. 01 (August 2008): 01–06. http://dx.doi.org/10.1055/s-0038-1638573.

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Summary ObjectiveTo report about major past and future activities of IMIA, the International Medical Informatics Association. Method Summarizing discussions and planning activities within IMIA, in particular with respect to its Board and General Assembly meetings in 2007; looking at recent informatics evolution by commenting on IMIA Yearbook surveys and best paper selections. Results Major recent IMIA activities include Medinfo 2007, finalizing its long-term strategic plan ‘Towards IMIA 2015’, and the reinforcement of IMIA’s collaboration with the World Health Organization (WHO). The IMIA Yearbook of Medical Informatics, published annually since 1992, can be regarded as an important observatory for progress in health and biomedical informatics. Future activities comprise implementing IMIA’s strategic plan, reshaping its portfolio of conferences, preparing Medinfo 2010, in addition to continuing to support and enable collaborative international exchange of research and education and bridging to the practice of health and biomedical informatics. Conclusions Informatics has emerged as an increasingly important field for health care and for the health and biomedical sciences. Within the last 40 years IMIA has evolved to a truly global organization, in a world, where medical informatics has gained significant importance for high-quality, efficient health care and for research in biomedicine and in the health sciences. Now in its 5th decade, IMIA’s responsibilities as well as opportunities as a global, independent organization have both increased.Geissbuhler A, Kulikowski C, editors. IMIA Yearbook of Medical Informatics 2008.
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