Academic literature on the topic 'Health information'

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Journal articles on the topic "Health information"

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Gill, Harsheen, Mandeep Kaur, Sartaj Singh Sandhu, and Angad Singh Sandhu. "Health informatics and health information management: future trends for information technology in health sciences." Journal of Community Health Management 9, no. 2 (July 15, 2022): 84–88. http://dx.doi.org/10.18231/j.jchm.2022.017.

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Healthcare is at an important crossroads in that current models of care are increasingly seen by politicians and policymakers as unsustainable. Furthermore, there is a need to move away from the reactive, doctor-centred model of care to one that is more patient-centred and that consistently delivers accessible, high-quality and safe care to all. Greater use of health information technology (HIT) is seen by many key decision makers as crucial to this transformation process and, hence, substantial investments are made in this area. However, healthcare, particularly in hospitals, remains a laggard in health information technology (HIT) adoption. To uncover the underlying reasons, we discuss current implementation and adoption challenges and explore potential ways to address these. We outline strategic, organisational, technical and social factors that can ‘make or break’ technological implementations. Most importantly, we suggest that efforts should be characterised by an underlying awareness of the complexity of the hospital environment and the need to develop tools that support provision of integrated multidisciplinary care. We conclude with a discussion of promising future developments, including increased patient involvement; access and contribution to shared records; the penetration of smart devices; greater health information exchange and interoperability; and innovative real-time secondary uses of data.
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Fiorini, Rodolfo, and Izet Masic. "Managing information in Health Informatics." Acta Informatica Medica 25, no. 3 (2017): 191. http://dx.doi.org/10.5455/aim.2017.25.191-194.

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Lewis, Alex. "Health informatics: information and communication." Advances in Psychiatric Treatment 8, no. 3 (May 2002): 165–71. http://dx.doi.org/10.1192/apt.8.3.165.

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In health care, the word ‘communication’ covers a wide range of interactions, including interpersonal communication, communication technology, medical education, health policy and mass communication. It takes many forms, from a brief informal talk between colleagues to formalised written documents between professionals. The essence of this verbal and written communication is the sharing of information. To make our information exchange more useful and to give it more meaning, the information communicated needs an appropriate framework. For example, the meaning of the diagnosis ‘schizophrenia’ is greatly enhanced by knowledge of the individual patient within the context (the framework) of his or her past history and family background.
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Jimison, Holly Brügge, and Paul Phillip Sher. "Consumer health informatics: Health information technology for consumers." Journal of the American Society for Information Science 46, no. 10 (December 1995): 783–90. http://dx.doi.org/10.1002/(sici)1097-4571(199512)46:10<783::aid-asi11>3.0.co;2-l.

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Wiese, William H. "Public Health Informatics and Information Systems." American Journal of Preventive Medicine 25, no. 1 (July 2003): 78. http://dx.doi.org/10.1016/s0749-3797(03)00088-6.

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Gibson, C. J., K. Abrams, and B. E. Dixon. "Convergent evolution of health information management and health informatics." Applied Clinical Informatics 06, no. 01 (2015): 163–84. http://dx.doi.org/10.4338/aci-2014-09-ra-0077.

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SummaryClearly defined boundaries are disappearing among the activities, sources, and uses of health care data and information managed by health information management (HIM) and health informatics (HI) professionals. Definitions of the professional domains and scopes of practice for HIM and HI are converging with the proliferation of information and communication technologies in health care settings. Convergence is changing both the roles that HIM and HI professionals serve in their organizations as well as the competencies necessary for training future professionals. Many of these changes suggest a blurring of roles and responsibilities with increasingly overlapping curricula, job descriptions, and research agendas. Blurred lines in a highly competitive market create confusion for students and employers.In this essay, we provide some perspective on the changing landscape and suggest a course for the future. First we review the evolving definitions of HIM and HI. We next compare the current domains and competencies, review the characteristics as well as the education and credentialing of both disciplines, and examine areas of convergence. Given the current state, we suggest a path forward to strengthen the contributions HIM and HI professionals and educators make to the evolving health care environment.Citation: Gibson CJ, Dixon BE, Abrams K. Convergent evolution of health information management and health informatics – a perspective on the future of information professionals in health care. Appl Clin Inf 2015; 6: 163–184http://dx.doi.org/10.4338/ACI-2014-09-RA-0077
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Srikanth, Dr Geetha. "Geographic Information System (GIS) in Public Health." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 06, no. 1 (March 15, 2016): 1–2. http://dx.doi.org/10.58739/jcbs/v06i1.7.

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Remote sensing and geographic information system (GIS) are a potential enabling technolo-gy used in public health. With the precise geo-graphic location of the incident these technolo-gies are potentially useful for infectious dis-ease surveillance and control of vector borne diseases. GIS is a computer system for captur-ing and displaying data related to positions on earth’s surface. Since many different kinds of data are shown on a map one can analyze their patterns and relationships
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Deliversky, Jordan. "HEALTH INFORMATION TECHNOLOGY IN EXCHANGE OF HEALTH INFORMATION." Journal of IMAB - Annual Proceeding (Scientific Papers) 22, no. 2 (June 30, 2016): 1182–85. http://dx.doi.org/10.5272/jimab.2016222.1182.

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Phung, Hai, Lis Young, Mai Tran, Khin Than Win, Carole Alcock, and Ken Hillman. "Health Informatics and Health Information Management in Maternal and Child Health Services." Health Information Management 33, no. 2 (September 2004): 36–42. http://dx.doi.org/10.1177/183335830403300204.

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Parker, J. Stephen. "Health Information and Information Access." Information Development 19, no. 4 (December 2003): 235. http://dx.doi.org/10.1177/026666690301900401.

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Dissertations / Theses on the topic "Health information"

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Wallace, Rick L. "Consumer Health Information." Digital Commons @ East Tennessee State University, 2004. https://dc.etsu.edu/etsu-works/8793.

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Karlsson, Johan. "Information structures and workflows in health care informatics." Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-33829.

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Patient data in health care have traditionally been used to support direct patient care. Although there is great potential in combining such data with genetic information from patients to improve diagnosis and therapy decisions (i.e. personalized medicine) and in secondary uses such as data mining, this is complex to realize due to technical, commercial and legal issues related with combining and refining patient data. Clinical decision support systems (CDSS) are great catalysts for enabling evidence-based medicine in clinical practice. Although patient data can be the base for CDSS logic, it is often scattered among heterogenous data sources (even in different health care centers). Data integration and subsequent data mining must consider codification of patient data with terminology systems in addition to legal and ethical aspects of using such data. Although computerization of the patient record systems has been underway for a long time, some data is still unstructured. Investigation regarding the feasibility of using electronic patient records (EPR) as data sources for data mining is therefore important. Association rules can be used as a base for CDSS development. Logic representation affect the usability of the systems and the possibility of providing explanations of the generated advice. Several properties of these rules are relatively easy to explain (such as support and confidence), which in itself can improve end-user confidence in advice from CDSS. Information from information sources other than the EPR can also be important for diagnosis and/or treatment decisions. Drug prescription is a process that is particularly dependent on reliable information regarding, among other things, drug-drug interactions which can have serious effects. CDSS and other information systems are not useful unless they are available at the time and location of patient care. This motivates using mobile devices for CDSS. Information structures of interactions affect representation in informatics systems. These structures can be represented using a category theory based implementation of rough sets (rough monads). Development of guidelines and CDSS can be based on existing guidelines with connections to external information systems that validate advice given the particular patient situation (for example, previously prescribed drugs may interact with recommended drugs by CDSS). Rules for CDSS can also be generated directly from patient data but this assumes that such data is structured and representative. Although there is great potential in CDSS to improve the quality and efficiency of health care, these systems must be properly integrated with existing processes in health care (workflows) and with other information systems. Health care workflows manage physical resources such as patients and doctors and can help to standardize care processes and support management decisions through workflow simulation. Such simulations allow information bottle-necks or insufficient resources (equipment, personnel) to be identified. As personalized medicine using genetic information of patients become economically feasible, computational requirements increase. In this sense, distributing computations through web services and system-oriented workflows can complement human-oriented workflows. Issues related to dynamic service discovery, semantic annotations of data, service inputs/outputs affect the feasibility of system-oriented workflow construction and sharing. Additionally, sharing of system-oriented workflows increase the possibilities of peer-review and workflow re-usage.
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Tomar, Shivanjali. "PROLOGUE : Health Information System." Thesis, Umeå universitet, Institutionen Designhögskolan, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-79315.

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Prologue is a health information system developed for underserved communities in Bihar, India. It is aimed at helping people living in poverty and with low literacy to take the right steps to manage their and their family’s health. Bihar suffers from one of the worst healthcare records in the country. This is as much due to the lack of access to the right information as it is due to the economic condition of the region. The inaccessibility of information is aggravated by the complex social set up in these communities, for e.g. women aren’t allowed to leave their homes and community has the strongest influence on an individual’s decision making. To make sure that right information permeates even to the most inaccessible user groups, especially women and to uplift community’s awareness as a whole, two different communication channels were designed-an interactive radio show and a public installation.
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Eivazzadeh, Shahryar. "Health Information Systems Evaluation." Licentiate thesis, Karlskrona, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10910.

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Background Health information systems have emerged as a major component in our response to the trends of rising demands in health care. The insight being gained from the evaluation of those systems can critically influence the shaping of the response. Summative or formative evaluation of health information systems assesses their quality, acceptance, and usefulness, creates insight for improvement, discriminates between options, and refines future development strategies. But the evaluation of health information systems can be challenging due to the propagation of their impacts through multiple socio-technological layers till the ultimate recipients, their heterogeneity and fast evolvement, and the complexity of health care settings and systems. Aim This thesis tries to explain the challenges of evaluation of health information systems with a narrow down on determining evaluation aspects and to propose relevant solutions. The thesis goes for solutions that mitigate heterogeneity and incomparability, recruit or extend available evaluation models, embrace a wide context of application, and promote automation. Method The literature on health information systems evaluation, methods of dealing with heterogeneity in other disciplines of information systems, and ontology engineering were surveyed. Based on the literature survey, the UVON method, based on ontology engineering, was first developed in study 1. The method was applied in FI-STAR, a European Union project in e-Health with 7 use-cases, for summative evaluation of the individual and whole e-health applications. Study 2, extended the UVON method for a formative evaluation during the design phase. Results Application of the UVON method resulted in evaluation aspects that were delivered to the seven use-cases of the FI-STAR project in the form of questionnaires. The resulted evaluation aspects were considered sensible and with a confirming overlap with another highly used method in this field (MAST). No significant negative feedback from the FI-STAR use-case owners (n=7) or the respondents (n=87 patients and n=30 health professionals) was received or observed. Conclusion In the evaluation of health information systems --possibly also in other similarly characterized systems-- ontology engineering methods, such as the proposed UVON method, can be applied to create a flexible degree of unification across a heterogeneous set of evaluation aspects, import evaluation aspects from other evaluation methods, and prioritize between quality aspects in design phase. Ontologies, through their semantic network structures, can capture the extracted knowledge required for evaluation, facilitate computation of that knowledge, promote automation of evaluation, and accommodate further extensions of the related evaluation methods by adding new features to their network structure.
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Hirvonen, N. (Noora). "Health information matters:everyday health information literacy and behaviour in relation to health behaviour and physical health among young men." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526210407.

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Abstract This study increases the understanding of young men’s everyday health information literacy and behaviour in relation to their health behaviour, physical health, and socio-demographic characteristics. The conceptual framework of the study builds upon theories of information behaviour, practices and literacy, and health behaviour change. The empirical data were collected with questionnaires (n = 3,293) and physiological measurements (n = 3,063) in 2010 to 2013 at the Finnish Defence Forces’ call-ups, where a population-based sample of young Finnish men could be reached. Everyday health information literacy was studied using a previously developed screening tool, and with a focus on its relationship with health behaviour and physical fitness. Information behaviour was investigated in the context of physical activity, and in relation to men’s readiness to change exercise behaviour according to the Transtheoretical Model. Statistical analyses of the data include multivariate regression analyses, and a critical realist approach was adopted in interpreting the results. The results show that general upper secondary education and higher socio-economic position of a parent increase the likelihood of good health information literacy. Health information literacy is positively associated with health-promoting behaviour and health independent of socio-economic position; confidence in one’s abilities to find, evaluate and use health information is associated with regular exercise and healthy eating habits, and good physical fitness, for example. In the context of physical activity, the practices used to acquire information are associated with the stage of exercise behaviour change. Men in the maintenance stage seek information most actively. Information avoidance, in turn, is connected to low health information literacy, not to the stage of change. The study provides novel knowledge on healthy young people’s everyday health information literacy and behaviour, and on their relationship. It is among the first to investigate health information behaviour in the stages of behaviour change and health information literacy in connection with objectively measured fitness. It proposes a framework for future studies on the relationship between health information literacy and behaviour, and health information outcomes. The results may be utilised when designing tailored health communications and health information literacy education
Tiivistelmä Tutkimus lisää ymmärrystä siitä, millainen yhteys nuorten miesten arkielämän terveystiedon lukutaidolla ja terveystietokäyttäytymisellä on terveyskäyttäytymiseen, fyysiseen terveyteen ja sosiodemografisiin tekijöihin. Sen käsitteellinen viitekehys rakentuu tietokäyttäytymisen ja -käytäntöjen, terveystiedon lukutaidon sekä terveyskäyttäytymisen muutoksen teorioille. Tutkimuksen aineisto kerättiin kyselyillä (n = 3 293) ja fysiologisilla mittauksilla (n = 3 063) vuosina 2010–2013 Puolustusvoimien Oulun alueen kutsuntatilaisuuksissa, joissa oli mahdollista saavuttaa suomalaisten nuorten miesten väestöpohjainen otos. Terveystiedon lukutaitoa arvioitiin aiemmin kehitetyllä seulontavälineellä sekä suhteessa terveyskäyttäytymiseen ja fyysiseen kuntoon. Terveystietokäyttäytymistä tarkasteltiin liikunnan kontekstissa ja suhteessa transteoreettisen mallin mukaiseen liikuntakäyttäytymisen muutosvalmiuteen. Aineistot analysoitiin tilastollisesti monimuuttujamenetelmin, ja tuloksia tulkittiin kriittisen realismin näkökulmasta. Tulokset osoittavat, että lukiokoulutus ja korkeassa sosioekonomisessa asemassa oleva vanhempi lisäävät hyvän arkielämän terveystiedon lukutaidon todennäköisyyttä. Terveystiedon lukutaito on positiivisesti yhteydessä terveyttä edistäviin elintapoihin ja terveyteen sosioekonomisesta asemasta riippumatta. Luottamus omiin kykyihin löytää, arvioida ja ymmärtää terveystietoa on yhteydessä muun muassa säännölliseen liikuntaan ja terveellisiin syömistottumuksiin sekä hyvään fyysiseen kuntoon. Liikunnan kontekstissa terveystietokäytännöt kytkeytyvät käyttäytymisen muutosvaiheeseen. Aktiivisimmin liikuntatietoa hankkivat liikuntakäyttäytymisen ylläpitovaiheessa olevat. Tiedon välttäminen sen sijaan on yhteydessä alhaiseen terveystiedon lukutaitoon, ei muutosvaiheeseen. Tutkimus tuottaa uutta tietoa nuorten, terveiden ihmisten arkielämän terveystiedon lukutaidosta ja terveystietokäyttäytymisestä sekä niiden suhteesta toisiinsa. Uutta on myös terveystietokäytäntöjen tutkiminen terveyskäyttäytymisen muutosvaiheissa ja terveystiedon lukutaidon tarkastelu suhteessa objektiivisesti mitattuun fyysiseen kuntoon. Tutkimuksessa esitetään viitekehys tuleville tutkimuksille terveystiedon lukutaidon ja tietokäytäntöjen vaikutuksesta terveyteen. Tulokset ovat hyödynnettävissä räätälöidyn terveysviestinnän ja terveystiedon lukutaidon koulutuksen suunnittelussa
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Enwald, H. (Heidi). "Tailoring health communication:the perspective of information users' health information behaviour in relation to their physical health status." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526202792.

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Abstract The aim of this thesis was twofold: firstly, to increase understanding about the user of health information; namely about differences of users´ characteristics of health information behaviour, and secondly, to contribute to the research on factors that could be used as bases to tailor health information. Health information behaviour was scrutinised as information needs and seeking and information use in particular. It was also studied in relation to individuals´ physical health status. More studies on information use are needed, because understanding individual characteristics in issues related to information use has been considered critical for promoting healthy behaviours. Moreover, the thesis addressed the gap in research on the relationship between health information behaviour and tailoring health information. The thesis consists of three empirical studies and a literature review. The empirical research environments were provided by an intervention study aiming to prevent type 2 diabetes among a high risk population and by a population-based study among military conscription aged men. The setting was the City of Oulu in Northern Finland with the University of Oulu and the Oulu Deaconess Institute as the main operators of the studies. The empirical data were collected through questionnaires as well as through physiological and biochemical measurements during years 2010 and 2011. The data were analysed with statistical methods. Moreover, a literature review of tailored interventions studies using a computer as the medium of delivery in the context of physical activity, nutrition and weight management, was conducted. The findings indicate differences in health information users´ characteristics related to their information use as such and in relation to the indicators of their physical health status. It is suggested that, for example, health information presentation could be tailored on the basis of found differences and different message strategies and tactics could be used for different kinds of individuals. In addition, in the literature review the biases of tailored intervention studies stood out as influential on their outcomes. The thesis contributes to the current field of research on both health information behaviour and tailoring health communication. Moreover, the findings can support the development of more effective health promotion programs and intervention studies
Tiivistelmä Väitöskirjatutkimukseni tavoitteena on lisätä ymmärrystä terveystiedon käyttäjistä ja erityisesti heidän terveysinformaatiokäyttäytymiseensä liittyvistä ominaisuuksista. Tutkimukseni tuottaa tietoa tekijöistä, joita voidaan käyttää terveystiedon räätälöinnin lähtökohtana. Terveysinformaatiokäyttäytymistä tarkastelen tiedontarpeiden ja -hankinnan sekä erityisesti tiedon käytön näkökulmasta. Informaatiokäyttäytymistä tutkitaan myös suhteessa tiedon käyttäjän fyysiseen terveydentilaan. Tutkimukseni vastaa tarpeeseen tutkia tiedon käyttäjiä, sillä tiedon käyttöön liittyvien yksilöllisten ominaisuuksien ymmärtäminen on keskeistä terveyden edistämisessä. Väitöskirja tuottaa uutta tietoa myös informaatiokäyttäytymisen ja terveystiedon räätälöinnin välisestä suhteesta. Väitöskirjani käsittää neljä osajulkaisua: kolme empiiristä tutkimusta ja kirjallisuuskatsauksen. Empiiriset tutkimukset toteutettiin tyypin 2 diabeteksen ehkäisyyn tähtäävän interventiotutkimuksen (PreDiabEx) ja väestöpohjaisen tutkimuksen (MOPO) tarjoamissa tutkimusympäristöissä. Tutkimusten kohteina olivat miehet ja naiset, joiden riski sairastua tyypin 2 diabetekseen oli korkea sekä kutsuntaikäiset miehet. Tutkimukset toteutettiin Oulussa ja päätoteuttajia olivat Oulun yliopisto ja Oulun Diakonissalaitos. Empiirinen aineisto kerättiin kyselyillä sekä fysiologisilla ja biokemiallisilla terveydentilaa ilmaisevilla mittareilla vuosien 2010 ja 2011 aikana. Aineisto analysoitiin tilastollisesti. Kirjallisuuskatsauksessa analysoidaan fyysisen aktiivisuuden, ravitsemuksen ja painonhallinnan interventiotutkimuksia, joissa tarkastellaan terveystiedon räätälöinnin vaikuttavuutta silloin, kun tiedonvälitykseen käytetään tietokonetta. Empiiristen tutkimusten tulokset viittaavat siihen, että niin terveystiedonkäyttäjien ominaisuuksissa informaatiokäyttäytymisessä kuin sen suhteessa heidän fyysisen terveydentilaansa on eroja. Terveystietoa tulisikin esittää eri tavoin erilaisille ihmisille, muun muassa erilaisia viestistrategioita ja -taktiikoita käyttäen. Kirjallisuuskatsauksen tulokset lisäsivät ymmärrystä siitä, miten tutkimusasetelman vinoumat voivat vaikuttaa interventiotutkimusten tuloksiin
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Wenger, Tara Renee Brenneman. "Health Information Technology Adoption by Mental Health Organizations." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523481704831465.

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Williams, TimMarie Chloe’ Uvonne. "Internet Health Information and Patient-health Professional Relationship." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc500212/.

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The purpose of this study was to investigate patient use and presentation of Internet health information and its effect on patient-health professional relationship from a sample of residents at active adult communities in Texas. Five sites were used to recruit the 260 participants between November 2012 and January 2013. The data were received using a self-administered survey. Using Cronbach’s alpha, logistic regression and regression analysis through SAS, the data revealed that older respondents are less likely to discuss web-based information with health professionals. In addition, logistic regression analysis indicated that four of the variables, IHI Sharing, educational status (bachelor degree), marital status (married), and perceived health status (excellent and very good health) predicted varied of the 20 indicators making up the patient-health professional relationship scale. Further studies are needed to enhance this research.
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Rahimi, Bahol. "Implementation of Health Information Systems." Licentiate thesis, Linköping University, Linköping University, MDA - Human Computer Interfaces, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15677.

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Healthcare organizations now consider increased efficiency, reduced costs, improved patient care and quality of services, and safety when they are planning to implement new information and communication technology (ICT) based applications. However, in spite of enormous investment in health information systems (HIS), no convincing evidence of the overall benefits of HISs yet exists. The publishing of studies that capture the effects of the implementation and use of ICT-based applications in healthcare may contribute to the emergence of an evidence-based health informatics which can be used as a platform for decisions made by policy makers, executives, and clinicians. Health informatics needs further studies identifying the factors affecting successful HIS implementation and capturing the effects of HIS implementation. The purpose of the work presented in this thesis is to increase the available knowledge about the impact of the implementation and use of HISs in healthcare organizations. All the studies included in this thesis used qualitative research methods. A case study design and literature review were performed to collect data.

This thesis’s results highlight an increasing need to share knowledge, find methods to evaluate the impact of investments, and formulate indicators for success. It makes suggestions for developing or extending evaluation methods that can be applied to this area with a multi-actor perspective in order to understand the effects, consequences, and prerequisites that have to be achieved for the successful implementation and use of IT in healthcare. The results also propose that HIS, particularly integrated computer-based patient records (ICPR), be introduced to fulfill a high number of organizational, individualbased, and socio-technical goals at different levels. It is therefore necessary to link the goals that HIS systems are to fulfill in relation to short-term, middle-term, and long-term strategic goals. Another suggestion is that implementers and vendors should direct more attention to what has been published in the area to avoid future failures.

This thesis’s findings outline an updated structure for implementation planning. When implementing HISs in hospital and primary-care environments, this thesis suggests that such strategic actions as management involvement and resource allocation, such tactical action as integrating HIS with healthcare workflow, and such operational actions as user involvement, establishing compatibility between software and hardware, and education and training should be taken into consideration.

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Abaluck, Jason T. "Information, decision-making and health." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65482.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 151-155).
This thesis consists of three essays on information, decision-making and health. All three concern the relationship between the choices consumers would make if they were "fully informed" in an appropriate sense and the choices we actually observe. Chapter 1 considers how we can determine whether consumers are appropriately taking into account health information when they make their food consumption decisions. The fundamental idea is to determine the value of a statistical life (VSL) implicit in food consumption decisions and to compare this value with previous estimates of the VSL. The main positive result is that the VSL estimated from food consumption is about 1/10th as large as estimates from other contexts. I also consider the normative implications under the assumption that VSL estimates from other contexts indicate how individuals would behave if they were "fully informed" and discuss what additional evidence might support such an assumption. Chapter 2, co-authored with Jonathan Gruber, performs an analogous exercise in the case of health care plans. Where Chapter 1 makes the normative assumption that consumers should value years of life equally regardless of where they come from (e.g. eating healthier foods or reducing risk of on-the-job death), Chapter 2 makes the normative assumption that consumers should value a dollar of cost savings equivalently whether it comes through premiums or out of pocket costs. This restriction can then be used to evaluate whether consumers are choosing appropriately. The chapter studies this question in the context of Medicare Part D Prescription Drug Plan, the most significant privatization of the delivery of a public insurance benefit in recent history. Chapter 3 attempts to consider the circumstances in which the partial equilibrium welfare analyses performed in parts 1 and 2 extend to a general equilibrium setting in which prices and product characteristics respond endogenously to changes in demand. In particular, Chapter 3 derives conditions under which more information leads to welfare gains in general equilibrium taking into account the endogenous response of firms' pricing and product quality decisions.
by Jason Abaluck.
Ph.D.
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Books on the topic "Health information"

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Magnuson, J. A., and Brian E. Dixon, eds. Public Health Informatics and Information Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41215-9.

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Magnuson, J. A., and Paul C. Fu,, eds. Public Health Informatics and Information Systems. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-4237-9.

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O’Carroll, Patrick W., Laura H. Ripp, William A. Yasnoff, M. Elizabeth Ward, and Ernest L. Martin, eds. Public Health Informatics and Information Systems. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/b98877.

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W, O'Carroll Patrick, ed. Public health informatics and information systems. New York: Springer, 2003.

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Siuly, Siuly, Hua Wang, Lu Chen, Yanhui Guo, and Chunxiao Xing, eds. Health Information Science. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90885-0.

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Siuly, Siuly, Ickjai Lee, Zhisheng Huang, Rui Zhou, Hua Wang, and Wei Xiang, eds. Health Information Science. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01078-2.

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Winter, Alfred, Reinhold Haux, Elske Ammenwerth, Birgit Brigl, Nils Hellrung, and Franziska Jahn. Health Information Systems. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-441-8.

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Huang, Zhisheng, Siuly Siuly, Hua Wang, Rui Zhou, and Yanchun Zhang, eds. Health Information Science. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61951-0.

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Huang, Guangyan, Xiaohui Liu, Jing He, Frank Klawonn, and Guiqing Yao, eds. Health Information Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37899-7.

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He, Jing, Xiaohui Liu, Elizabeth A. Krupinski, and Guandong Xu, eds. Health Information Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29361-0.

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Book chapters on the topic "Health information"

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Bria, William F., and Nancy B. Finn. "Information Access: Information Overload." In Health Informatics, 75–89. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-355-6_6.

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Hersh, William. "Information." In Health Informatics, 41–139. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47686-1_2.

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Hersh, William R. "Health Information." In Information Retrieval: A Health Care Perspective, 13–34. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2529-2_2.

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Magnuson, J. A., and Paul C. Fu. "Public Health Informatics and Health Information Exchange." In Health Informatics, 429–48. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4237-9_22.

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Webb, Tim, and Dale Will. "Information Integration." In Health Informatics, 121–33. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-0519-7_9.

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O’Carroll, Patrick W. "Information Architecture." In Health Informatics, 85–97. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/0-387-22745-8_5.

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Dickerson, Dina, and Patricia Yao. "Information Architecture." In Health Informatics, 89–105. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4237-9_6.

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Hersh, William R. "Informatics for the Health Information Technology Workforce." In Health Informatics, 93–107. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4078-8_7.

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Yasnoff, William A., Patrick W. O'Carroll, and Andrew Friede. "Public Health Informatics and the Health Information Infrastructure." In Health Informatics, 537–63. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-36278-9_15.

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Horrocks, David, Lindsey Ferris, and Hadi Kharrazi. "Health Information Exchange." In Health Informatics, 133–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07912-2_8.

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Conference papers on the topic "Health information"

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Cho, Hoyoun, Hongsuk Yoon, Ki Joon Kim, and Dong-Hee Shin. "Wearable Health Information." In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702613.2732774.

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Malin, Bradley. "Session details: Information management in health informatics." In IHI '10: ACM International Health Informatics Symposium. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/3258365.

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Hsu Chih-Jen. "Telemedicine information monitoring system." In 2008 10th International Conference on e-health Networking, Applications and Services (Healthcom). IEEE, 2008. http://dx.doi.org/10.1109/health.2008.4600108.

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Jarman, Holly. "Incentivizing health information exchange." In the 15th Annual International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2612733.2612766.

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González, Jose Mari Pastor, Carmen Peñafiel Saiz, and Idoia Camacho Markina. "Health information and youth." In the Second International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2669711.2669917.

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Hansen, Kjeld Steenbjerg. "Socially Shared Health Information." In DH'18: International Digital Health Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3194658.3194688.

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Wang, F., Z. Miao, L. Wang, B. Yang, and X. M. Lv. "Telemedicine and health information." In The 2015 International Conference on Electronics, Electrical Engineering and Information Science (EEEIS2015). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789814740135_0050.

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Masero, Valentin. "Health care information systems." In the 2005 ACM symposium. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1066677.1066731.

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Pang, Patrick Cheong-Iao, Karin Verspoor, Shanton Chang, and Jon Pearce. "Better health information exploration." In APCHIUX '15: Asia Pacific Symposium of HCI and UX Design. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2846439.2846444.

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Arifah, Izzatul, Meutia Fildzah Sharfina, and Meira Sri Widowati. "Reproductive Health Information Access of Health Faculty Students." In 5th Universitas Ahmad Dahlan Public Health Conference (UPHEC 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/ahsr.k.200311.002.

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Reports on the topic "Health information"

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Baird, Aaron, Corey Angst, and Eivor Oborn. Health Information Technology. MIS Quarterly, June 2018. http://dx.doi.org/10.25300/misq/2019/curations/06212018.

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Hersh, William, Annette Totten, Karen Eden, Beth Devine, Paul Gorman, Steve Kassakian, Susan S. Woods, Monica Daeges, Miranda Pappas, and Marian S. McDonagh. Health Information Exchange. Agency for Healthcare Research and Quality, December 2015. http://dx.doi.org/10.23970/ahrqepcerta220.

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Quilici, Alex. Health Information Infrastructure. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada334963.

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Moore, Bradley, and Asara Clark. NVLAP Health Information Technology Testing. National Institute of Standards and Technology, November 2021. http://dx.doi.org/10.6028/nist.hb.150-31-2021.

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Rebitzer, James, Mari Rege, and Christopher Shepard. Influence, Information Overload, and Information Technology in Health Care. Cambridge, MA: National Bureau of Economic Research, July 2008. http://dx.doi.org/10.3386/w14159.

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Damiano, Peter C., Ki Park, and Kristi Law. Health Information Technology use in Iowa Home Health Agencies. Iowa City, Iowa: University of Iowa Public Policy Center, November 2010. http://dx.doi.org/10.17077/oxub-0j1b.

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Mager, Astrid, ed. Mediated health: sociotechnical practices of providing and using online health information. Vienna: self, 2014. http://dx.doi.org/10.1553/ita-pa-am-09-1.

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Shekelle, Paul G., Sally C. Morton, and Emmett B. Keeler. Costs and Benefits of Health Information Technology. Agency for Healthcare Research and Quality, April 2006. http://dx.doi.org/10.23970/ahrqepcerta132.

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Bellin, Eran, and Susan M. McCroskey. Applied Health Information Technologies - Clinical Looking Glass. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada581159.

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Damiano, Peter C., Ki Park, and Kristi Law. Health Information Technology use in Iowa Pharmacies. Iowa City, Iowa: University of Iowa Public Policy Center, November 2010. http://dx.doi.org/10.17077/ks0k-idw9.

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