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Academic literature on the topic 'EHR'

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Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "EHR"

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Rosenberg, Tziporah. "Ehr." Families, Systems, & Health 34, no. 3 (September 2016): 303. http://dx.doi.org/10.1037/fsh0000215.

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King, Jason, Ben Smith, and Laurie Williams. "Audit Mechanisms in Electronic Health Record Systems." International Journal of Computational Models and Algorithms in Medicine 3, no. 2 (April 2012): 23–42. http://dx.doi.org/10.4018/jcmam.2012040102.

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Inadequate audit mechanisms may result in undetected misuse of data in software-intensive systems. In the healthcare domain, electronic health record (EHR) systems should log the creating, reading, updating, or deleting of privacy-critical protected health information. The objective of this paper is to assess electronic health record audit mechanisms to determine the current degree of auditing for non-repudiation and to assess whether general audit guidelines adequately address non-repudiation. The authors analyzed the audit mechanisms of two open source EHR systems, OpenEMR and Tolven eCHR, and one proprietary EHR system. The authors base the qualitative assessment on a set of 16 general auditable events and 58 black-box test cases for specific auditable events. The authors find that OpenEMR satisfies 62.5% of the general criteria and passes 63.8% of the black-box test cases. Tolven eCHR and the proprietary EHR system each satisfy less than 19% of the general criteria and pass less than 11% of the black-box test cases.
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Nolan, Matthew, Rizwan Siwani, Haytham Helmi, Brian Pickering, Pablo Moreno-Franco, and Vitaly Herasevich. "Health IT Usability Focus Section: Data Use and Navigation Patterns among Medical ICU Clinicians during Electronic Chart Review." Applied Clinical Informatics 08, no. 04 (2017): 1117–26. http://dx.doi.org/10.4338/aci-2017-06-ra-0110.

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Background A detailed understanding of electronic health record (EHR) workflow patterns and information use is necessary to inform user-centered design of critical care information systems. While developing a longitudinal medical record visualization tool to facilitate electronic chart review (ECR) for medical intensive care unit (MICU) clinicians, we found inadequate research on clinician–EHR interactions. Objective We systematically studied EHR information use and workflow among MICU clinicians to determine the optimal selection and display of core data for a revised EHR interface. Methods We conducted a direct observational study of MICU clinicians performing ECR for unfamiliar patients during their routine daily practice at an academic medical center. Using a customized manual data collection instrument, we unobtrusively recorded the content and sequence of EHR data reviewed by clinicians. Results We performed 32 ECR observations among 24 clinicians. The median (interquartile range [IQR]) chart review duration was 9.2 (7.3–14.7) minutes, with the largest time spent reviewing clinical notes (44.4%), laboratories (13.3%), imaging studies (11.7%), and searching/scrolling (9.4%). Historical vital sign and intake/output data were never viewed in 31% and 59% of observations, respectively. Clinical notes and diagnostic reports were browsed ≥10 years in time for 60% of ECR sessions. Clinicians viewed a median of 7 clinical notes, 2.5 imaging studies, and 1.5 diagnostic studies, typically referencing a select few subtypes. Clinicians browsed a median (IQR) of 26.5 (22.5–37.25) data screens to complete their ECR, demonstrating high variability in navigation patterns and frequent back-and-forth switching between screens. Nonetheless, 47% of ECRs begin with review of clinical notes, which were also the most common navigation destination. Conclusion Electronic chart review centers around the viewing of clinical notes among MICU clinicians. Convoluted workflows and prolonged searching activities indicate room for system improvement. Using study findings, specific design recommendations to enhance usability for critical care information systems are provided.
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Panigrahi, Amrutanshu, Ajit Kumar Nayak, and Rourab Paul. "HealthCare EHR." International Journal of Information Systems and Supply Chain Management 15, no. 3 (July 2022): 1–15. http://dx.doi.org/10.4018/ijisscm.290017.

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Blockchain technology is currently playing a significant role in providing a secure and effective means to share information in a variety of domains, including the financial sector, supply chain management (SCM) in various domains, IoT, and the field of health care systems (HCS). The HCS application's interoperability and security allow patients and vendors to communicate information seamlessly. The absence of such traits reveals the patient's difficulties in gaining access to his or her own health status. As a result, incorporating blockchain technology will eliminate this disadvantage, allowing the HCS to become more effective and efficient. These potential benefits provide a foundation for blockchain technology to be used in various aspects of HCS, such as maintain the patient electronic health record (EHR) and electronic medical records (EMR) for various medical devices, billing, and telemedicine systems, and so on.
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Sriram, Indira, Robin Holland, and Steven R. Lowenstein. "I, EHR." Journal of Hospital Medicine, Volume 15, Issue 02 (May 10, 2019): 119–20. http://dx.doi.org/10.12788/jhm.3211.

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OʼBrien, Ann, Charlotte Weaver, Theresa (Tess) Settergren, Mary L. Hook, and Catherine H. Ivory. "EHR Documentation." Nursing Administration Quarterly 39, no. 4 (2015): 333–39. http://dx.doi.org/10.1097/naq.0000000000000132.

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Thede, Linda Q. "EHR Data." AJN, American Journal of Nursing 120, no. 4 (April 2020): 13. http://dx.doi.org/10.1097/01.naj.0000659948.46046.cd.

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Chauhan, Zain, Mohammad Samarah, Kim Unertl, and Martha Jones. "Adoption of Electronic Dental Records: Examining the Influence of Practice Characteristics on Adoption in One State." Applied Clinical Informatics 09, no. 03 (July 2018): 635–45. http://dx.doi.org/10.1055/s-0038-1667331.

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Objective Compared with medicine, less research has focused on adoption rates and factors contributing to the adoption of electronic dental records (EDRs) and certified electronic health records (EHRs) in the field of dentistry. We ran two multivariate models on EDR adoption and certification-capable EHR adoption to determine environmental and organizational factors associated with adoption. Methods We conducted telephone survey of a 10-item questionnaire using disproportionate stratified sampling procedure of 149 dental clinics in Tennessee in 2017 measuring adoption of dental information technology (IT) (EDRs and certification-capable EHRs) and practice characteristics, including region, rurality, specialty, and practice size. We used binomial logistic regression models to determine associations of adoption with predictor variables. Results A total of 77% of surveyed dental clinics in Tennessee had adopted some type of EDR system. When the definitions of certification capable were applied, the adoption rates in dental clinics dropped to 58%. A binomial logistic regression model for the effects of rurality, specialization, and practice size on the likelihood that a clinic would adopt an EHR product was statistically significant (chi-square (3) = 12.41, p = 0.0061). Of the three predictor variables, specialization and practice size were significant: Odds of adopting an EHR is 67% lower for specialists than for general dentists; and clinics with two or more practicing dentists were associated with a much greater likelihood of adopting an EHR-capable system (adjusted odds ratio = 3.09, p = 0.009). Conclusion Findings from this study indicate moderate to high levels of overall dental IT adoption. However, adoption rates in dental clinics do remain lower than those observed in office-based physician practices in medicine. Specialization and practice size were significant predictors of EHR-capable system adoption. Efforts to increase EHR adoption in dentistry should be mindful of potential disparities in smaller practices and between dental specialties and generalists.
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Ziebell, Robert-Christian, Jose Albors-Garrigos, Martin Schultz, Klaus Peter Schoeneberg, and M. Rosario Perello-Marin. "eHR Cloud Transformation." International Journal of Intelligent Information Technologies 15, no. 1 (January 2019): 1–21. http://dx.doi.org/10.4018/ijiit.2019010101.

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The article covers process models for HR IT projects and in particular for HR transformation projects. Based on the authors' experience, an applied process model for HR transformation projects in a cloud-based environment is derived. The article identifies findings applicable to the fields of organisation, business, and IT as well as decisions and critical success factors in the specific context of cloud-based HR solutions.
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Chan, Wiley. "P012 The EHR." BMJ Quality & Safety 22, Suppl 1 (August 2013): A5.1—A5. http://dx.doi.org/10.1136/bmjqs-2013-002293.12.

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Dissertations / Theses on the topic "EHR"

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Granada, Liezel. "Nursing Education Workflows in EHR Training." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6757.

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A need for improvement in nursing education regarding inpatient workflows and informatics skills was identified at this project site. Upon hire, nurses were required to complete a 4-hour basic class on the electronic health record (EHR) system, but this class did not include inpatient-nursing workflows needed to provide and facilitate care for patients. This project addressed the lack of EHR education on inpatient nursing workflows. The focus of this staff education project was an education class on inpatient nursing workflow provided to a nurse residency class. Sources of evidence were obtained through a literature search and pretest/post test data analysis. The literature used to support the project included articles on best practices for EHR education for nursing. The pretest and post test design was used to determine if there was an increase in EHR knowledge after the education. Benner's novice-to- expert model served as the framework. The mean total proficiency scores on inpatient nursing workflows in the EHR improved from pretesting to post testing, (6.8 to 7.8, p = 0.048). The study findings showed improvement in participants' average proficiency, knowledge, and clinical skills in the EHR. This project findings demonstrated the need for an inpatient nursing informatics workflow class for all nursing staff, and the findings supported an increase in education to facilitate workflow and care safety. This project promotes positive social change by improving curricula, raising awareness of how technology affects clinical care and practice, and encouraging continuous quality improvement through informatics education.
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Li, Junhua Information Systems Technology &amp Management Australian School of Business UNSW. "E-health readiness assessment from EHR perspective." Publisher:University of New South Wales. Information Systems, Technology & Management, 2008. http://handle.unsw.edu.au/1959.4/42930.

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Many countries (especially developing countries) are plagued with critical healthcare issues such as chronic, infectious and pandemic diseases, a lack of basic healthcare programmes and facilities and a shortage of skilled healthcare workers. E-Health (healthcare based on the Internet technologies) promises to overcome some problems related to the reach of healthcare in remote communities. Electronic Health Record (EHR) (consisting of all diagnostic information related to a patient) forms the core of any E-Health system. Hence the success of an E-Health system is very much dependent on the success of the EHR systems. Although interest in automating the health record is generally high, the literature informs us that they do not always succeed in terms of adoption rate and/or acceptance, even in developed countries. The success of the adoption tends to be low for resource constrained (e.g. insufficient E-Health infrastructure) developing countries. As part of the effort to enhance EHR acceptance, readiness assessment for the innovation becomes an essential requirement for the successful implementation and use of EHR (and hence E-Health). Based on a thorough literature review, several research gaps have been identified. In order to address these gaps, this thesis (based on design science research methodology) presents E-Health Readiness Assessment Methodology (EHRAM). It involves a new E-Health Readiness Assessment Framework (EHRAF), an assessment process and several techniques for analysing the assessment data to arrive at a readiness score. The EHRAF (Model) integrates the components from healthcare providers?? and organisational perspectives of existing E-Health readiness evaluation frameworks. The process of EHRAM (Method) starts with the development of a set of hierarchical evaluation criteria based on EHRAF. This leads to the questionnaire development for data collection. The data is analysed in EHRAM using a number of statistical and data mining techniques. The instantiation part of the design science research involves an automated tool for the implementation of EHRAM and its application through a case study in a developing country.
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Christensen, Tom. "Bringing the GP to the forefront of EHR development." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for samfunnsmedisin, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-5491.

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Ifølge denne avhandling var norske allmennleger godt fornøyd med bruk av elektronisk pasientjournal (EPJ) sammenlignet med papirjournaler, men tilgjengeligheten av informasjonen i store elektroniske journaler var ikke tilfredsstillende. Det ble funnet relativt effektiv tidsbruk av EPJ under konsultasjonene. Bruk av EPJ forstyrret ikke konsultasjonene ifølge legene eller pasientene som deltok i undersøkelsene. Det ble funnet at allmennlegene får god støtte fra EPJ til å utføre 21 av 24 oppgitte kliniske oppgaver. Det var ikke utviklet funksjonalitet i systemene til å støtte de resterende tre oppgavene. 19 av de 21 oppgavene ble svært mye brukt. Systemenes generelle brukertilfredshet og suksess ble rapportert som høy eller svært høy. Det var ingen forskjeller mellom systemene med hensyn til evne til å understøtte kliniske oppgaver, men et av systemene ble rapportert å ha flere maskin- og programvarefeil og noe lavere brukertilfredshet og suksess. Resultatene ble sammenlignet med en tilsvarende undersøkelse blant sykehuslegers og deres EPJ systemer. Allmennlegene var mer fornøyde med EPJ enn deres sykehuskolleger med hensyn på brukertilfredshet, evne til å understøtte kliniske oppgaver og effekt på arbeidskvalitet. Selv om allmennlegene var fornøyde, ønsket de forbedringer på flere områder i EPJ. De savnet støtte til medisinske beslutninger som kunne tilpasses den enkelte pasient. De ønsket at all helsefaglig kommunikasjon skulle foregå elektronisk, og de ønsket elektronisk støtte for å kunne konsultere spesialister ved behov. De ønsket også at deres EPJ skulle kunne kommunisere med pasientene og deres eventuelle framtidige egenjournal. En metode for utvikling av funksjonelle kravspesifikasjoner til EPJ ble prøvd ut. De deltagende allmennpraktikere valgte ut 67 krav fra EPJ standarden, og formulerte 197 nye funksjonelle krav for å kunne oppnå vellykket elektronisk støtte til helsefaglig samarbeid i helsevesenet. Bakgrunnen for avhandlingen var et ønske om å undersøke hvordan allmennpraktikere i Norge vurderte bruken av elektroniske journalsystemer, sammenligne disse vurderingene med sykehuslegers vurderinger av sine systemer, og undersøke hvordan allmennlegene ønsket sine elektroniske journalsystemer utviklet videre. Det ble gjennomført fire studier i denne avhandlingen, og det ble brukt både kvantitative og kvalitative metoder. De kvantitative data ble innsamlet gjennom en nasjonal spørreundersøkelse. De kvalitative data ble innsamlet ved fokus gruppe intervjuer, ved observasjoner av allmennleger i klinisk arbeid og ved dokumentanalyse og metoder fra aksjonsforskning. En av studiene var kvantitativ og benyttet kun data samlet inn fra spørreskjemaundersøkelsen. I to av studiene var metodene triangulerte, og det ble benyttet data fra spørreskjema, intervjuer og observasjoner. Den siste studien var kvalitativ og samlet inn og analyserte data fra dokumentanalyser og metoder fra aksjonsforskning.
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Barry, Sacha (Sacha M. ). "Critical factors for successful electronic health record (EHR) implementation." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104546.

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Thesis: S.M. in Management Studies, Massachusetts Institute of Technology, Sloan School of Management, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 68-75).
Since the 1970s, the healthcare industry has been moving from paper-based documents towards computer information systems in an effort to increase timely access to quality information, with the ultimate objective of wide dissemination and adoption of Electronic Health Records (EHRs). EHRs are electronic collections of patient health information that are recorded by physicians, nurses and patients themselves, before being approved by physicians and shared across diverse settings. EHR implementation can improve care quality and efficiency and physician productivity and reduce healthcare costs. However, implementation often proves to be difficult. This paper reviews several common issues associated with EHR adoption including negative impacts on quality of care, physicians' productivity, patients' safety and organizations' financials from high maintenance and implementation costs. It then summarizes critical success factors found in the literature. It eventually examines two cases studies of Enterprise Resource Planning (ERP) implementation in the automotive and food and beverage industries and leverages ERP implementation best practices to develop a practical framework for successful HER adoption. Hopefully, it will be useful for future EHR adoption projects in the U.S. and other regions of the world.
by Sacha Barry.
S.M. in Management Studies
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de, Vries Heinca. "The readiness and perceptions of public health dentists on electronic health records: Case of Cape town south Africa." University of Western Cape, 2020. http://hdl.handle.net/11394/7840.

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Magister Commercii - MCom
This study aimed to understand the readiness and perceptions of Electronic Health Record (EHR) adoption among dentists in the public service of the Western Cape. A qualitative study design was chosen due to a lack of understanding of the phenomena. Additionally, the research sought to identify the factors that would potentially influence readiness and perceptions in order to identify how these factors could potentially influence EHR adoption among dentists.
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Kilic, Ozgur. "Achieving Electronic Healthcare Record (ehr) Interoperability Across Healthcare Information Systems." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609665/index.pdf.

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Providing an interoperability infrastructure for Electronic Healthcare Records (EHRs) is on the agenda of many national and regional eHealth initiatives. Two important integration profiles have been specified for this purpose: the "
IHE Cross-enterprise Document Sharing (XDS)"
and the "
IHE Cross Community Access (XCA)"
. XDS describes how to share EHRs in a community of healthcare enterprises and XCA describes how EHRs are shared across communities. However, currently no solution addresses some of the important challenges of cross community exchange environments. The first challenge is scalability. If every community joining the network needs to connect to every other community, this solution will not scale. Furthermore, each community may use a different coding vocabulary for the same metadata attribute in which case the target community cannot interpret the query involving such an attribute. Another important challenge is that each community has a different patient identifier domain. Querying for the patient identifiers in another community using patient demographic data may create patient privacy concerns. Yet another challenge in cross community EHR access is the EHR interoperability since the communities may be using different EHR content standards.
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Xu, Xuejun. "Study and Implementation of Statistical Information System for EHR System." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-156427.

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Uganda is accentuating a lot of efforts to strengthen its healthcare services and provide National Electronic Health Record System. One of the core components of Electronic Health Record System is Statistical Information System. The Statistical Information System locates in the application logic in the technical architecture of the whole project. Exsiting tool, DHIS 2 is evaluated and found not proper to be used as the project's Statistical Information System. Based on the discussions above, the system is divided into 3 parts: Static Statistics, Dynamic Statistics and HMIS Reports. The static part provides powerful search for statistics. The dynamic part utilizes a flash chart, where users can see the move of statistics like watching a movie. The HMIS part is the place where the traditioncal HMIS reports can be generated
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Faria, Danilo Alves Martins de. "Operador de recombinação EHR aplicado ao problema da árvore máxima." Universidade Federal de Goiás, 2013. http://repositorio.bc.ufg.br/tede/handle/tede/3655.

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Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2014-11-20T11:31:40Z No. of bitstreams: 2 Dissertação - Danilo Alves Martins de Faria - 2013.pdf: 1188393 bytes, checksum: c56b169690f22bbbeaa2ee6fa46ade1c (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
Network Design Problems (NDPs) are present in many areas, such as electric power distribution, communication networks, vehicle routing, phylogenetic trees among others. Many NDPs are classified as NP-Hard problems. Among the techniques used to solve them, we highlight the Evolutionary Algorithms (EA). These algorithms simulate the natural evolution of the species. However, in its standard form EAs have limitations to solve large scale NDPs, or with very specific characteristics. To solve these problems, many researchers have studied specific forms of representation of NDPs. Among these stands we show Node-Depth-Degre Encoding (NDDE). This representation produces only feasible solutions, regardless of the network characteristics. NDDE has two mutation operators Preserve Ancestor Operator (PAO) and Ancestor Change Operator (CAO) and the recombination operator EHR (Evolutionary History Recombination Operator) that uses historical applications of mutation, and was applied to NDPs more than one tree and had good results. Thus, this work proposes adapt EHR for NDPs classics represented by a single tree. In addition, two evolutionary algorithms are developed: the AE-RNPG, which uses only NDDE, with mutation operators. And the AE-EHR, which makes use of mutation operators and recombination operator EHR to the One Max Tree Problem. The results showed that the AE-EHR obtained better solutions than the EA-RNPG for most instances analyzed.
Problemas de Projeto de Redes (PPRs) estão presentes em diversas áreas, tais como reconfiguração de sistemas de distribuição de energia elétrica, projetos de redes de comunicação, roteamento de veículos, reconstrução de árvores filogenéticas entre outros. Vários PPRs pertencem à classe de problemas NP-Difíceis. Dentre as técnicas utilizadas para resolvê-los, destacam-se os Algoritmos Evolutivos (AE), cujo processo de resolução de um problema simula a evolução natural das espécies. Entretanto, os AEs em sua forma padrão também possuem limitações quanto a PPRs de larga escala, ou com características muito específicas. Para solucionar esses problemas, diversas pesquisas têm estudado formas específicas de estruturas de dados dos PPRs. Dentre essas destaca-se a representação Nó-Profundidade-Grau (RNPG). Essa representação produz apenas soluções factíveis, independente da característica da rede. A RNPG possui dois operadores de mutação Preserve Ancestor Operator (PAO) e Change Ancestor Operator (CAO) e o operador de recombinação EHR (Evolutionary History Recombination Operator), que utiliza o histórico de aplicações dos operadores de mutação, o qual tem sido aplicado a PPRs com mais de uma árvore com bons resultados. Este trabalho propõem a adequação do EHR para PPRs clássicos de uma única árvore. Além disso, são desenvolvidos dois algoritmos evolutivos: o AE-RNPG, que utiliza a RNPG somente com os operadores de mutação; e o AE-EHR, que faz uso tanto dos operadores de mutação quanto do operador de recombinação EHR para o problema da Árvore máxima. Os resultados obtidos mostram que o AE-EHR obtém melhores soluções do que o AE-RNPG para a maioria das instâncias analisadas.
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Adams, Sharon L. "Nurses Knowledge, Skills, and Attitude Toward Electronic Health Records (EHR)." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/875.

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Information technology (IT) has been rapidly integrated into the healthcare industry, including nursing, and has the ability to reduce errors, cut cost, and enhance patient care. However, approximately 45% of the current nurse workforce lacks adequate training in computer skills, which may hinder the adoption of health-related IT in the workplace. Characteristics of Rogers's diffusion of innovation (relative advantage, compatibility, complexity, trialability, and observability) guided this project. This project was conducted to address the problem of IT adoption on a local level and was designed to assess whether simulation training on a generic electronic health record (EHR) system would improve the knowledge, skill, and attitude of nurses with little or no experience with EHR. A convenience sample of nurses (n = 13) unfamiliar with EHR was obtained by posting flyers in long-term care or home health agencies. The nurses completed the P.A.T.C.H. assessment scale v. 3 (2011) before and after participating in the one-time simulation training on EHR. Scores on the P.A.T.C.H. were calculated according to the established scoring system and revealed a positive increase nurses' attitude and self-efficacy toward the EHR system. Posttest scores yielded an increase ranging from 0.5 to 5 points from pretest scores, with an average pretest score of 54.23 on a scale of 0-100. The results of this project are consistent with the literature and current research and illustrate the importance of addressing the need for interactive training. This project contributes to social change in practice by enhancing the awareness of EHR in nurses who are new users of IT and promoting the adoption of technology in healthcare.
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Lexima, Marie Mirna. "Underserved Patients' Perspectives on How the EHR Impacts Their Health." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1902.

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Our modern health care system requires technology that can deal with multidisciplinary and complex processes, operations, and situations. The EHR, by far, is one of the greatest health information technology innovations that satisfy these requirements because of its efficiency and the effectiveness of its features. This study sought to develop an in-depth understanding of how underserved patients' perspectives about their health and illness, can contribute to greater use of the EHR. It also sought to improve their health outcomes and maintain sustainable change in the lives of the underserved. A quantitative non-experimental design study was conducted over a 6-week period outside of three different internal medicine clinics, one in the Northwestern and the two others in the Southeastern regions of Washington, DC. Surveys were distributed directly to patients coming out of these health clinics, and participants sent their responses via mail. Data collection included 215 surveys out of 560, but, only 155 fit the overall study categories. A strong level of significance in the relationships between clinical outcome measures and the EHR was identified at a 95% confidence interval. There were considerable health determinants that demonstrated the essence of patients' perspectives and the need for its incorporation into health outcomes measures for the underserved populations. The study also identified sets of environmental health predictors which acted as facilitators and contributors to a holistic health management model designed to contribute to the needs of the underserved communities. The holistic health model and the individual care plan model derived from the study are applicable at the level of the underserved population. It can help achieve sustainable health outcomes that will save lives and promote better health.
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Books on the topic "EHR"

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Amatayakul, Margaret K. The no-hassle guide to EHR policies. Marblehead, MA: HCPro, 2006.

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Gasch, Arthur. Successfully choosing your EHR: 15 crucial decisions. Chichester, West Sussex, UK: Wiley-Blackwell, 2010.

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Amatayakul, Margaret K. The no-hassle guide to EHR implementation. Marblehead, MA: HCPro, 2007.

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Association, Medical Group Management, ed. EHR optimization and operations guide for medical practices. Englewood, CO: Medical Group Management Association, 2012.

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Werner, Elyane. Bayerisches Hochzeitsbuch: Vom Anbandeln bis zur goldenen Ehr. München: W. Ludwig, 1991.

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D, Gelzer Reed, and Bowers Donna, eds. How to evaluate electronic health record (EHR) systems. Chicago, Ill: American Health Information Management Association, 2008.

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Cynthia, Davis. A guide to EHR adoption: Implementation through organizational transformation. Chicago, IL: HIMSS (Healthcare Information and Management Systems Society), 2012.

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service), SpringerLink (Online, ed. Pervasive Healthcare Computing: EMR/EHR, Wireless and Health Monitoring. Boston, MA: Springer-Verlag US, 2009.

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Schmähling, Elmar. Kein Feind, kein Ehr: Wozu brauchen wir noch die Bundeswehr? Köln: Kiepenheuer & Witsch, 1994.

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Go-Live: Smart strategies from Davies award-winning EHR implementations. Chicago, Ill: HIMSS, 2011.

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Book chapters on the topic "EHR"

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Focsa, Mircea, and Gheorghe Ioan Mihalas. "EHR Ecosystem." In Pervasive and Mobile Sensing and Computing for Healthcare, 251–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32538-0_12.

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Murua, Ane, Eduardo Carrasco, Agustin Agirre, Jose Maria Susperregi, and Jesús Gómez. "Upgrading Legacy EHR Systems to Smart EHR Systems." In Innovation in Medicine and Healthcare 2017, 227–33. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59397-5_24.

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Bercaw, Ronald G., Kurt A. Knoth, and Susan T. Snedaker. "EHR Vendor Selection." In The Lean Electronic Health Record, 63–102. Boca Raton : Taylor & Francis, 2018.: Productivity Press, 2017. http://dx.doi.org/10.1201/b22061-5.

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Azimova, Shakhnoza S., and Anna I. Glushenkova. "Brassica elongata Ehr." In Lipids, Lipophilic Components and Essential Oils from Plant Sources, 187–88. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-323-7_626.

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Kumar, Ravinder. "Blockchain in EHR." In Blockchain Technology for Data Privacy Management, 275–93. First edition. | Boca Raton : CRC Press, [2021] | Series: Advances in intelligent decision-making, systems engineering, and project management: CRC Press, 2021. http://dx.doi.org/10.1201/9781003133391-13.

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Onyejekwe, Egondu R. "The EMR/EHR Marketplace." In Portable Health Records in a Mobile Society, 35–40. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19937-1_4.

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Schreiber, Richard. "EHR Transitions: deja vous." In HIT or Miss for the Student, 187–91. Boca Raton : Taylor & Francis, 2019. | “A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.”: Productivity Press, 2019. http://dx.doi.org/10.4324/9780429196850-49.

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Schreiber, Richard. "EHR Transitions: deja vous." In HIT or Miss, 199–202. 3rd edition. | Boca Raton : Taylor & Francis, 2019. | “A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.”: Productivity Press, 2019. http://dx.doi.org/10.4324/9780429031403-49.

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Eaton, Malachy. "Evolutionary Humanoid Robotics (EHR)." In Evolutionary Humanoid Robotics, 59–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44599-0_5.

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Overton, Barbara Cook. "Electronic Health Records (EHR)." In Encyclopedia of Big Data, 433–37. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_82.

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Conference papers on the topic "EHR"

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Kadhim, Dua Abdulrazak, Sarfraz Iqbal, and Päivi Jokela. "Electronic Health Records: Non-Swedish Speaking Refugee’s Perspective." In The 18th international symposium on health information management research. Linnaeus University Press, 2022. http://dx.doi.org/10.15626/ishimr.2020.16.

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Electronic health record (EHR) is a ubiquitous e-health tool that includes both Electronic Medical Record (EMR) and personal health record (PHR). EHR is aimed to be a versatile digital tool that can benefit both caregivers and patients through Quick and easy access to medical information at any time from hospitals or primary care. However, the fact that the bulk of core records, including self-service data for patients, is only available in Swedish may limit the scope, availability and feasibility of self service through EHRs access for refugee patients who are non-Swedish speakers. Research results suggest that the EHRs should be meaningful, modified, and improved based on patient’s needs, by actively involving patients in their healthcare. The issues such as EHRs an information sharing communication System, lack of Information about using EHR, language barrier a hinderance in using EHR, EHRs as medical recommendation system, better instructions about EHRs, presenting medical information in diagnosis part in EHRs in other languages and presenting medical information in diagnosis part in EHRs by sound are very important to address non-Swedish speaking refugee patients’ needs to use EHRs.
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Wu, Huanyu, Lunjie Li, Hye-young Paik, and Salil S. Kanhere. "MB-EHR: A Multilayer Blockchain-based EHR." In 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). IEEE, 2021. http://dx.doi.org/10.1109/icbc51069.2021.9461075.

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Al Baqari, Mohammed, and Ezedin Barka. "Biometric-Based Blockchain EHR System (BBEHR)." In 2020 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2020. http://dx.doi.org/10.1109/iwcmc48107.2020.9148357.

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Parikh, Ashesh, and Nihal Mehta. "Web-based PACS and EHR system." In SPIE Medical Imaging, edited by Tessa S. Cook and Jianguo Zhang. SPIE, 2015. http://dx.doi.org/10.1117/12.2081975.

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Yina, Wan. "Application of EHR in Health Care." In 2010 Second International Conference on Multimedia and Information Technology. IEEE, 2010. http://dx.doi.org/10.1109/mmit.2010.32.

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Stan, Ovidiu, and Liviu Miclea. "Local EHR management based on FHIR." In 2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR). IEEE, 2018. http://dx.doi.org/10.1109/aqtr.2018.8402719.

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Zhang, Edmond, Reece Robinson, and Bernhard Pfahringer. "Deep Holistic Representation Learning from EHR." In 2018 12th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2018. http://dx.doi.org/10.1109/ismict.2018.8573698.

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Pujani, Vera, Hardisman, and Refdinal Nazir. "Electronic Health Readiness (EHR) in Indonesia." In ICIBE 2019: 2019 The 5th International Conference on Industrial and Business Engineering. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3364335.3364401.

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Sadashiv, Naidila, and Vachana S. G. "Swaasthya Sampathee: Blockchain based EHR Framework." In 2022 International Conference on Industry 4.0 Technology (I4Tech). IEEE, 2022. http://dx.doi.org/10.1109/i4tech55392.2022.9952557.

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Tancer, Jonathan, and Aparna S. Varde. "Cloud technology and EHR data management." In 2012 IEEE 6th International Conference on Information and Automation for Sustainability (ICIAfS). IEEE, 2012. http://dx.doi.org/10.1109/iciafs.2012.6419891.

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Reports on the topic "EHR"

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Haque, Saira N. Considerations for EHR Section for The Sub-Specialist: Insights from A Case Study. Science Repository, July 2019. http://dx.doi.org/10.31487/j.jicoa.2019.03.02.

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Schnabel, Filipina, and Danielle Aldridge. Effectiveness of EHR-Depression Screening Among Adult Diabetics in an Urban Primary Care Clinic. University of Tennessee Health Science Center, April 2021. http://dx.doi.org/10.21007/con.dnp.2021.0003.

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Background Diabetes mellitus (DM) and depression are important comorbid conditions that can lead to more serious health outcomes. The American Diabetes Association (ADA) supports routine screening for depression as part of standard diabetes management. The PHQ2 and PHQ9 questionnaires are good diagnostic screening tools used for major depressive disorders in Type 2 diabetes mellitus (DM2). This quality improvement study aims to compare the rate of depression screening, treatment, and referral to behavioral health in adult patients with DM2 pre and post-integration of depression screening tools into the electronic health record (EHR). Methods We conducted a retrospective chart review on patients aged 18 years and above with a diagnosis of DM2 and no initial diagnosis of depression or other mental illnesses. Chart reviews included those from 2018 or prior for before integration data and 2020 to present for after integration. Sixty subjects were randomly selected from a pool of 33,695 patients in the clinic with DM2 from the year 2013-2021. Thirty of the patients were prior to the integration of depression screening tools PHQ2 and PHQ9 into the EHR, while the other half were post-integration. The study population ranged from 18-83 years old. Results All subjects (100%) were screened using PHQ2 before integration and after integration. Twenty percent of patients screened had a positive PHQ2 among subjects before integration, while 10% had a positive PHQ2 after integration. Twenty percent of patients were screened with a PHQ9 pre-integration which accounted for 100% of those subjects with a positive PHQ2. However, of the 10% of patients with a positive PHQ2 post-integration, only 6.7 % of subjects were screened, which means not all patients with a positive PHQ2 were adequately screened post-integration. Interestingly, 10% of patients were treated with antidepressants before integration, while none were treated with medications in the post-integration group. There were no referrals made to the behavior team in either group. Conclusion There is no difference between the prevalence of depression screening before or after integration of depression screening tools in the EHR. The study noted that there is a decrease in the treatment using antidepressants after integration. However, other undetermined conditions could have influenced this. Furthermore, not all patients with positive PHQ2 in the after-integration group were screened with PHQ9. The authors are unsure if the integration of the depression screens influenced this change. In both groups, there is no difference between referrals to the behavior team. Implications to Nursing Practice This quality improvement study shows that providers are good at screening their DM2 patients for depression whether the screening tools were incorporated in the EHR or not. However, future studies regarding providers, support staff, and patient convenience relating to accessibility and availability of the tool should be made. Additional issues to consider are documentation reliability, hours of work to scan documents in the chart, risk of documentation getting lost, and the use of paper that requires shredding to comply with privacy.
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Lowry, Svetlana Z., Matthew T. Quinn, Mala Ramaiah, David Brick, Emily S. Patterson, Jiajie Zhang, Patricia Abbott, and Michael C. Gibbons. A Human Factors Guide to Enhance EHR Usability of Critical User Interactions when Supporting Pediatric Patient Care. National Institute of Standards and Technology, June 2012. http://dx.doi.org/10.6028/nist.ir.7865.

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Reyes, Ricardo A. Study of EPR/ESR Dosimetry in Fingernails as a Method for Assessing Dose of Victims of Radiological Accidents/Incidents. Fort Belvoir, VA: Defense Technical Information Center, May 2008. http://dx.doi.org/10.21236/ad1013777.

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Wise, Kiersten, Tom Allen, Martin Chilvers, Travis Faske, Anna Freije, Tom Isakeit, Daren Mueller, et al. Ear Rots. United States: Crop Protection Netework, August 2016. http://dx.doi.org/10.31274/cpn-20190620-001.

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Brown, Ashleigh. Ear mutilation. Brooke, April 2011. http://dx.doi.org/10.46746/gaw.2020.abi.mut.ear.

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Jensen, Melanie, Steven Schlasner, Kerryanne Leroux, Charles Gorecki, and Nicholas Azzolina. Comparison of Non-EOR and EOR Life Cycle Assessments. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1874451.

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O'Toole, Greg. Prominent Ear Correction. Touch Surgery Simulations, December 2014. http://dx.doi.org/10.18556/touchsurgery/2014.s0037.

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Billquist, P. J., R. Harkewicz, and R. C. Pardo. ECR ion source. Office of Scientific and Technical Information (OSTI), August 1995. http://dx.doi.org/10.2172/166403.

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Yoon, Su-Jong, Cristian Rabiti, and John Sackett. EBR-II Data Digitization. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1196549.

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