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1

Seymour, Tom, Dean Frantsvog, and Tod Graeber. "Electronic Health Records (EHR)." American Journal of Health Sciences (AJHS) 3, no. 3 (July 13, 2012): 201–10. http://dx.doi.org/10.19030/ajhs.v3i3.7139.

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Electronic Health Records are electronic versions of patients’ healthcare records. An electronic health record gathers, creates, and stores the health record electronically. The electronic health record has been slow to be adopted by healthcare providers. The federal government has recently passed legislation requiring the use of electronic records or face monetary penalties. The electronic health record will improve clinical documentation, quality, healthcare utilization tracking, billing and coding, and make health records portable. The core components of an electronic health record include administrative functions, computerized physician order entry, lab systems, radiology systems, pharmacy systems, and clinical documentation. HL7 is the standard communication protocol technology that an electronic health record utilizes. Implementation of software, hardware, and IT networks are important for a successful electronic health record project. The benefits of an electronic health record include a gain in healthcare efficiencies, large gains in quality and safety, and lower healthcare costs for consumers. Electronic health record challenges include costly software packages, system security, patient confidentiality, and unknown future government regulations. Future technologies for electronic health records include bar coding, radio-frequency identification, and speech recognition.
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Dimond, Bridgit. "Electronic health record and electronic patient record." British Journal of Nursing 14, no. 13 (July 2005): 716–17. http://dx.doi.org/10.12968/bjon.2005.14.13.18454.

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BOSTROM, ANDREA C., PATRICIA SCHAFER, KATHY DONTJE, JOANNE M. POHL, JEAN NAGELKERK, and STEPHEN J. CAVANAGH. "Electronic Health Record." CIN: Computers, Informatics, Nursing 24, no. 1 (January 2006): 44–52. http://dx.doi.org/10.1097/00024665-200601000-00011.

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Bracco, David, and Fabrice Labeau. "Electronic Health Record." Critical Care Medicine 43, no. 6 (June 2015): 1342–44. http://dx.doi.org/10.1097/ccm.0000000000001007.

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N., Gayathri. "A Model for Xml-based Electronic Health Record System." International Journal of Psychosocial Rehabilitation 24, no. 5 (April 20, 2020): 5785–807. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020286.

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Mandal, Ajaya, Prakriti Dumaru, Sagar Bhandari, Shreeti Shrestha, and Subarna Shakya. "Decentralized Electronic Health Record System." Journal of the Institute of Engineering 15, no. 1 (February 16, 2020): 77–80. http://dx.doi.org/10.3126/jie.v15i1.27716.

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With a view to overcome the shortcomings of traditional Electronic Health Record (EHR) system so as to assure the interoperability by providing open access to sensitive health data, while still preserving personal data privacy, anonymity and avoiding data misuse, Decentralized Electronic Health Record System was developed. The aforementioned issue concerning traditional EHR system can be addressed by implication of emerging technology of the era namely Block chain, together with Inter Planetary File System (IPFS) which enables data sharing in decentralized and transactional fashion, thereby maintaining delicate balance between privacy and accessibility of electronic health records. A block chain based EHR system has been built for secure, efficient and interoperable access to medical records by both patients and doctors while preserving privacy of the sensitive patient’s information. Patients can easily and comprehensively access to their medical records across providers and treatment sites using unique properties of block chain and decentralized storage. A separate portal for both the patients and doctors has been built enabling the smart contracts to handle further interaction between doctors and patients. So, in this system, it is demonstrated how principles of decentralization and block chain architectures could contribute to EHR system using Ethereum smart contracts and IPFS to orchestrate a suitable system governing the medical record access while providing patients with comprehensive record review along with consideration for audit ability and data sharing.
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Kutney-Lee, Ann, Margo Brooks Carthon, Douglas M. Sloane, Kathryn H. Bowles, Matthew D. McHugh, and Linda H. Aiken. "Electronic Health Record Usability." Medical Care 59, no. 7 (April 1, 2021): 625–31. http://dx.doi.org/10.1097/mlr.0000000000001536.

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8

Mehmood, Hamid, Muhammad Aslam, Sadia Aslam, Ammara Waqar, Athar Khan, Yasir Hassan, Faryal Murtaza Cheema, Hassan Mujtaba, and Noor-e. Maham. "ELECTRONIC HEALTH RECORD SYSTEMS;." Professional Medical Journal 24, no. 01 (January 18, 2017): 182–87. http://dx.doi.org/10.29309/tpmj/2017.24.01.401.

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Introduction: e-Health is a combination of medical informatics, public health,business and information technology. Health information technology has increased theproductivity by reengineering of health care but it requires new measurement tools to monitorthe impact of it .e-health is not only for the development of technologies but also it includesproper planning, thinking, broad thinking to improve healthcare services with the help ofinformation and communication technology. Objectives: 1) To assess the perceptions ofphysicians towards the use, effectiveness and efficiency of EHR 2) To identify the differencesbetween electronic and paper based records 3) To evaluate the usage of Electronic HealthRecords.4) To analyze satisfaction and challenges face by the physicians using EHR. ResearchDesign: This is an Exploratory and Descriptive Research. In this study hybrid research methodis used which includes qualitative and quantitative research methods. Sampling technique:For this study, a purposive sample of 43 physicians was selected. The sample size was 60but 17 responses were incomplete so they were excluded and the final sample size was 43.Data was collected from two different hospitals of Pakistan which include the physicians fromShaukat Khanum Memorial Cancer Hospital and Research Centre, and Indus Hospital. Of the43 participants, 51% were from Indus Hospital and 49% were from Shaukat Khanum MemorialCancer Hospital and Research Centre. Instrument: A structured questionnaire was used tocollect data and it was collected by email responses and direct interview. EHR Questionnaire:A questionnaire was used in the study. The EHR Questionnaire has comprised of 24 items. Thisquestionnaire was developed by Msukwa. B.K.Martin.1 Data Analysis: Data analysis was doneby Statistical Package for Social Sciences (SPSS) and Microsoft Excel. Procedure: The sampleconsisted of physicians from Shaukat Khanum Memorial Cancer Hospital and Research Centre,and Indus Hospital from Karachi. EHR is a new technology and hospitals are moving towardsit, some are under process and very few like the above mentioned hospitals are using it. Thequestionnaire was not complicated. It was a structured questionnaire with easy questions withmultiple options to fill in. Respondents were also acknowledged for their cooperation andparticipation in the study. Conclusion: EHR should be used effectively, proper training is neededto ensure that physicians are able to operate the system and can have maximum benefits fromthe technology by utilizing all its applications. The government should encourage adoption ofElectronic Health l Records in Pakistan by developing a public-private partnership. The studyfocused also on EHR effectiveness by checking the working of EHR its quick and satisfactoryresults its accuracy, adequacy, timeliness, user- friendliness, availability and reliability.
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McCartney, Patricia. "The Electronic Health Record." MCN, The American Journal of Maternal/Child Nursing 29, no. 5 (September 2004): 328. http://dx.doi.org/10.1097/00005721-200409000-00013.

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Noblin, Alice M., Kendall Cortelyou-Ward, and Steven Ton. "Electronic Health Record Implementations." Health Care Manager 30, no. 1 (January 2011): 45–50. http://dx.doi.org/10.1097/hcm.0b013e3182078b4f.

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Fetter, Marilyn S. "The Electronic Health Record." Issues in Mental Health Nursing 30, no. 5 (January 2009): 345–47. http://dx.doi.org/10.1080/01612840902754677.

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Kalra, D. "Electronic Health Record Standards." Yearbook of Medical Informatics 15, no. 01 (August 2006): 136–44. http://dx.doi.org/10.1055/s-0038-1638463.

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SummaryThis paper seeks to provide an overview of the initiatives that are proceeding internationally to develop standards for the exchange of electronic health record (EHR) information between EHR systems.The paper reviews the clinical and ethico-legal requirements and research background on the representation and communication of EHR data, which primarily originates from Europe through a series of EU funded Health Telematics projects over the past thirteen years. The major concepts that underpin the information models and knowledge models are summarised. These provide the requirements and the best evidential basis from which HER communications standards should be developed.The main focus of EHR communications standardisation is presently occurring at a European level, through the Committee for European Normalisation (CEN). The major constructs of the CEN 13606 model are outlined. Complementary activity is taking place in ISO and in HL7, and some of these efforts are also summarised.There is a strong prospect that a generic EHR interoperability standard can be agreed at a European (and hopefully international) level. Parts of the challenge of EHR interoperability cannot yet be standardised, because good solutions to the preservation of clinical meaning across heterogeneous systems remain to be explored. Further research and empirical projects are therefore also needed.
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O'Brien, Keith. "The Electronic Health Record." Collegian 7, no. 3 (January 2000): 42. http://dx.doi.org/10.1016/s1322-7696(08)60378-9.

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Harrington, Linda. "Electronic Health Record Workflow." AACN Advanced Critical Care 26, no. 1 (2015): 5–9. http://dx.doi.org/10.1097/nci.0000000000000051.

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R, Abinaya, Devapriya A, and Purushothaman R. "Cloud based accessibility of Electronic Health Record from android application." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 551–54. http://dx.doi.org/10.31142/ijtsrd10980.

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Bishop, Tara F., Mandy Smith Ryan, Colleen M. McCullough, Sarah C. Shih, Lawrence P. Casalino, and Andrew M. Ryan. "Do provider attitudes about electronic health records predict future electronic health record use?" Healthcare 3, no. 1 (March 2015): 5–11. http://dx.doi.org/10.1016/j.hjdsi.2014.04.002.

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Sankaranarayanan, Suresh, and Vigneshwaran Udayasuriyan. "Biometric Secured Electronic Health Record." International Journal of E-Health and Medical Communications 7, no. 4 (October 2016): 1–27. http://dx.doi.org/10.4018/ijehmc.2016100101.

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Lot of Hospitals around the world are going through transformation from paper based to Electronic Health record system which can be accessed from anywhere. But with such Electronic health record, security is very much needed towards avoiding hackers and unauthorized personnel to access the medical record pretending as doctor or patient. Lot of research been conducted in regards to an authentication of the biometric system and security on the digital electronic health records of the health care organization. In such biometric system, there has been an increase in the false rejection ratio due to a slight difference in the positioning of the finger on the biometric scanner. The small wounds and scratches on the fingers may also lead to the false rejection of the legitimate user. So accordingly the authors in this research have developed innovative and enhanced technology of the frame based biometric authentication system by segmenting the fingerprint image towards authenticating the medical personnel. This method reduces the False Rejection Ratio (FRR) and False Acceptance Ratio (FAR) compared to neighbouring nodal and data centric method. In addition, with the frame based biometric authentication, the authors have also developed level of strictness for doctor's and patient's based on placement of finger in biometric scanner. Lastly, the authors have also developed an application which integrates Frame based biometric methodology along with RFID and GSM for access of records in a secured way and also to provide a better treatment and medicines for incoming patients.
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Dostálová, T., P. Hanzlíček, Z. Teuberová, M. Nagy, M. Pieš, M. Seydlová, H. Eliášová, H. Šimková, and J. Zvárová. "Electronic Health Record for Forensic Dentistry." Methods of Information in Medicine 47, no. 01 (2008): 8–13. http://dx.doi.org/10.3414/me0426.

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Summary Objectives: To identify support of structured data entry for electronic health record application in forensic dentistry. Methods: The methods of structuring information in dentistry are described and validation of structured data entry in electronic health records for forensic dentistry is performed on several real cases with the interactive DentCross component. The connection of this component to MUDR and MUDRLite electronic health records is described. Results: The use of the electronic health record MUDRLite and the interactive DentCross component to collect dental information required by standardized Disaster Victim Identification Form by Interpol for possible victim identification is shown. Conclusions: The analysis of structured data entry for dentistry using the DentCross component connected to an electronic health record showed the practical ability of the DentCross component to deliver a real service to dental care and the ability to support the identification of a person in forensic dentistry.
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Heid, David W., Joseph Chasteen, and Arden W. Forrey. "The Electronic Oral Health Record." Journal of Contemporary Dental Practice 3, no. 1 (2002): 1–15. http://dx.doi.org/10.5005/jcdp-3-1-1.

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Abstract This paper presents the history of the use of the computer for maintaining patient medical care information. An electronic record generated with a computer, which is non-specific for any healthcare specialty, is referred to as the electronic health record. The electronic health record was previously called the computer-based patient record. “Electronic” replaced the earlier term “computer-based” because “electronic” better describes the medium in which the patient record is managed. The electronic health record and its application to dentistry are discussed. The electronic health record is a “database” of patient information that has been entered by any healthcare provider; the electronic oral health record is an “electronic record” of oral health information that has been entered by an oral healthcare provider. The significant differences between the electronic health record and the electronic oral health record are outlined and highlighted. Included is a template describing a procedure to be used by dental personnel during the decision making process of purchasing an electronic oral health record. A brief description of a practice template is also provided. These completed templates can be shared with dental software vendors to clarify their understanding of and to clearly describe the needs of today's dental practice. The challenge of introducing information technology into educational institutions' curricula is identified. Finally, the potential benefit of using electronic technology for managing oral healthcare information is outlined. Citation Heid DW, Chasteen J, Forrey AW. The Electronic Oral Health Record. J Contemp Dent Pract 2002 Feb;(3)1: 043-054.
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Abd, Lobna, Ahmed Sharaf, and Mona Mohamed. "Personal Integrated Electronic Health Record." International Journal of Computer Applications 150, no. 12 (September 24, 2016): 44–47. http://dx.doi.org/10.5120/ijca2016911656.

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Gaikwad, Shruti, Nikita Kirad, Shubhangi Gayake, and Dr Pradnya Kulkarni. "ELECTRONIC HEALTH RECORD: BLOCKCHAIN TECHNOLOGY." ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY 05, no. 01 (April 16, 2019): 1–4. http://dx.doi.org/10.33130/ajct.2019v05i01.002.

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Dodeja, Vinay. "Interoperability of Electronic Health Record." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (March 31, 2018): 1829–36. http://dx.doi.org/10.22214/ijraset.2018.3280.

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Warren, Richard A., and Ify S. Diala. "Electronic Health Record Implementation Strategies." International Journal of Computer Applications Technology and Research 6, no. 11 (November 4, 2017): 451–60. http://dx.doi.org/10.7753/ijcatr0611.1002.

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Kanade, Prashant. "Interoperability of Electronic Health Record." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (April 30, 2019): 2379–83. http://dx.doi.org/10.22214/ijraset.2019.4432.

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Krawiec, Conrad. "Beyond Electronic Health Record Adoption." Methods of Information in Medicine 58, no. 06 (December 2019): 235–36. http://dx.doi.org/10.1055/s-0040-1709148.

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Weinfeld, Jeffrey M., and Ranit Mishori. "Toward Electronic Health Record Optimization." Journal of Ambulatory Care Management 40, no. 1 (2017): 2–5. http://dx.doi.org/10.1097/jac.0000000000000172.

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Penrod, Louis E. "Electronic Health Record Transition Considerations." PM&R 9 (May 2017): S13—S18. http://dx.doi.org/10.1016/j.pmrj.2017.01.009.

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McCartney, Patricia R. "The Electronic Personal Health Record." MCN, The American Journal of Maternal/Child Nursing 33, no. 6 (November 2008): 390. http://dx.doi.org/10.1097/01.nmc.0000341262.00620.dc.

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Lawlor, Ted, and Erik Barrows. "Behavioral Health Electronic Medical Record." Psychiatric Clinics of North America 31, no. 1 (March 2008): 95–103. http://dx.doi.org/10.1016/j.psc.2007.11.009.

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Apter, Janet L. "Implementing the Electronic Health Record." Clinical Nurse Specialist 23, no. 4 (July 2009): 224. http://dx.doi.org/10.1097/nur.0b013e3181a9ffc3.

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Strekalova, Yulia A. "Electronic health record use among cancer patients: Insights from the Health Information National Trends Survey." Health Informatics Journal 25, no. 1 (April 23, 2017): 83–90. http://dx.doi.org/10.1177/1460458217704246.

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Over 90% of US hospitals provide patients with access to e-copy of their health records, but the utilization of electronic health records by the US consumers remains low. Guided by the comprehensive information-seeking model, this study used data from the National Cancer Institute’s Health Information National Trends Survey 4 (Cycle 4) and examined the factors that explain the level of electronic health record use by cancer patients. Consistent with the model, individual information-seeking factors and perceptions of security and utility were associated with the frequency of electronic health record access. Specifically, higher income, prior online information seeking, interest in accessing health information online, and normative beliefs were predictive of electronic health record access. Conversely, poorer general health status and lack of health care provider encouragement to use electronic health records were associated with lower utilization rates. The current findings provide theory-based evidence that contributes to the understanding of the explanatory factors of electronic health record use and suggest future directions for research and practice.
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Raymond, Louis, Guy Paré, and Marie Marchand. "Extended use of electronic health records by primary care physicians: Does the electronic health record artefact matter?" Health Informatics Journal 25, no. 1 (April 23, 2017): 71–82. http://dx.doi.org/10.1177/1460458217704244.

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The deployment of electronic health record systems is deemed to play a decisive role in the transformations currently being implemented in primary care medical practices. This study aims to characterize electronic health record systems from the perspective of family physicians. To achieve this goal, we conducted a survey of physicians practising in private clinics located in Quebec, Canada. We used valid responses from 331 respondents who were found to be representative of the larger population. Data provided by the physicians using the top three electronic health record software products were analysed in order to obtain statistically adequate sub-sample sizes. Significant differences were observed among the three products with regard to their functional capability. The extent to which each of the electronic health record functionalities are used by physicians also varied significantly. Our results confirm that the electronic health record artefact ‘does matter’, its clinical functionalities explaining why certain physicians make more extended use of their system than others.
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Wulandari, Cicilia Ika, Sumiati Devi Ardianti, and Jesika Pasaribu. "Electronic Health Record Dalam Pelaksanaan Handover Keperawatan Di Rumah Sakit Jakarta." I Care Jurnal Keperawatan STIKes Panti Rapih 3, no. 2 (October 28, 2022): 223–35. http://dx.doi.org/10.46668/jurkes.v3i2.215.

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ABSTRACT Background: Electronic health record is an electronic record of health-related information that includes patient information such as biodata, medical history, allergy history, test results, and all important care information used in the implementation of Nursing Handover. Objective: This study aims to find out more about the experience of nurses in applying electronic health records during handovers in hospitals. Design: This study uses a qualitative method with a phenomenological approach using the colaizzi method. Sampling using purposive sampling with the number of participants 8 people. Data collection by means of focus group discussions. Results: This study resulted in four main themes: (1) Nurses' understanding of handovers using an electronic format, (2) Advantages of using electronic health records, namely convenience, clarity, security and minimizing errors, (3) Negative and positive experiences of using electronic health records ( 4) Electronic health record constraints in handover. Conclusion: The use of electronic health record applications at the time of handover can minimize communication errors and can improve patient safety in hospitals. Keywords: Electronic Health Records; Handovers; Nurse; Qualitative
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Palojoki, Sari, Tuuli Pajunen, Kaija Saranto, and Lasse Lehtonen. "Electronic Health Record-Related Safety Concerns: A Cross-Sectional Survey of Electronic Health Record Users." JMIR Medical Informatics 4, no. 2 (May 6, 2016): e13. http://dx.doi.org/10.2196/medinform.5238.

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Sutherland, Scott M., David C. Kaelber, N. Lance Downing, Veena V. Goel, and Christopher A. Longhurst. "Electronic Health Record–Enabled Research in Children Using the Electronic Health Record for Clinical Discovery." Pediatric Clinics of North America 63, no. 2 (April 2016): 251–68. http://dx.doi.org/10.1016/j.pcl.2015.12.002.

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Murphy, Cynthia A., Kelly Merriman, Cindy Zabka, Marcella Penick, and Precy Villamayor. "Patient-Entered Electronic Healthcare Records With Electronic Medical Record Integration." CIN: Computers, Informatics, Nursing 26, no. 5 (September 2008): 302. http://dx.doi.org/10.1097/01.ncn.0000304828.47262.6c.

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Hawthorne, Kisha Hortman, and Lorraine Richards. "Personal health records: a new type of electronic medical record." Records Management Journal 27, no. 3 (November 20, 2017): 286–301. http://dx.doi.org/10.1108/rmj-08-2016-0020.

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Purpose This paper examines existing research on the topic of personal health records (PHRs). Areas covered include PHR/patient portal, recordkeeping, preservation planning, access and provider needs for future reuse of health information. Patient and physician PHR use and functionality, as well as adoption facilitators and barriers, are also reviewed. Design/methodology/approach The paper engages in a review of relevant literature from a variety of subject domains, including personal information management, medical informatics, medical literature and archives and records management literature. Findings The review finds that PHRs are extensions of electronic records. In addition, it finds a lack of literature within archives and records management that may lead to a less preservation-centric examination of the new PHR technologies that are desirable for controlling the lifecycle of these important new records-type. Originality/value Although the issues presented by PHRs are issues that can best be solved with the use of techniques from records management, there is no current literature related to PHRs in the records management literature, and that offered in the medical informatics literature treats the stewardship aspects of PHRs as insurmountable. This paper offers an introduction to the aspects of PHRs that could fruitfully be examined in archives and records management.
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Cahill, Jennifer E., Mark R. Gilbert, and Terri S. Armstrong. "Personal health records as portal to the electronic medical record." Journal of Neuro-Oncology 117, no. 1 (January 30, 2014): 1–6. http://dx.doi.org/10.1007/s11060-013-1333-x.

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Mardi, Yuli. "Electronic Medical Record as Literature Study." Proceeding International Conference on Medical Record 2, no. 1 (January 10, 2022): 45–51. http://dx.doi.org/10.47387/icmr.v2i1.154.

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Background: Medical records can be created manually or electronically. In the world of health, the development of information and communication technology is currently affecting health care services as a whole, including the implementation of electronic medical records. The application of electronic medical records must go through a careful planning stage, this is because electronic medical records involve many parties in health facilities and and require a lot of costs. For this reason, a comprehensive study of electronic medical records is needed. One way is to conduct a literature study of several articles related to the electronic medical record.Methods: In conducting this research, the literature review method was used, where the search for articles was not carried out systematically, but the scientific journal articles reviewed were selected by the researcher on one research topic, and selected based on the knowledge and experience possessed by the researcher (traditional review).Results: In this study, 7 articles were reviewed related to electronic medical records. There are some similarities in terms of benefits or obstacles in the application of electronic medical records in health facilities. Among the benefits of electronic medical records are the efficiency of using paper/medical record files, efficiency in the use of space/storage media, time efficiency in searching data and distributing medical record data, efficiency of human resources in finding medical record files and being able to detect errors in data entry. While some of the common obstacles to implementing electronic medical records in health facilities are the unpreparedness of officers at health facilities, so it takes time for socialization and training of human resources, problems with the network, lack of IT resources at health facilities that specifically handle electronic medical records, high implementation costs. expensive (hardware software) and there is no legal umbrella.Conclusions: There is a need for comprehensive research using the semantic review method of articles related to electronic medical records, so that the results can be used as a reference for health facilities in implementing electronic medical records. Thus, it is hoped that the migration and implementation process from manual medical records to electronic medical records can be carried out as expected.
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Bhalerao, Makarand, Soham Moghe, and Parth Nimbalkar. "Unicare – A Electronic Health Record Platform." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 5073–76. http://dx.doi.org/10.22214/ijraset.2022.46095.

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Abstract: Ever since the advent of the internet i.e interconnected computer technology, nearly every sector has joined the bandwagon and has shifted towards a centralized, robust and a highly organized database. Furthermore, the advancements in newly emerging fields like big data, data mining and warehousing has made it possible to obtain crucial and valuable insights from the enormous amounts of data being saved in various databases. As a result, several sectors have invested in having their own data analysis systems to gain better understanding of their works and possible improvements they can make in their current workings. Healthcare however seems to have been a bit behind in making optimum use of these tools and methodologies. Electronic health records carry significant potential in improving the quality of healthcare through easy access to information, precisely by helping to make prudent prognoses and thus saving the patient's time and finances. Unicare is a seamless electronic health records platform designed to address this issue with an aim of having a centralized health care portal, accessible to both the medical experts and patients. Medical professionals can access the patient’s history and make informed decisions regarding their ailments.
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Hufnagel, Stephen P. "National Electronic Health Record Interoperability Chronology." Military Medicine 174, no. 5S (May 2009): 35–42. http://dx.doi.org/10.7205/milmed-d-03-9708.

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Marx, Rani. "Me and My Electronic Health Record." Journal of Patient Experience 8 (January 2021): 237437352110387. http://dx.doi.org/10.1177/23743735211038778.

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Galli, Brian J. "Ethics of Electronic Health Record Systems." International Journal of Information Systems and Social Change 9, no. 3 (July 2018): 53–69. http://dx.doi.org/10.4018/ijissc.2018070104.

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This article describes how healthcare and IT are combatting the ethical implications of electronic health records (EHRs) in order to make them adopted by over 90% of small practices. There is a lack of trust in EHRs and uneasiness about what they will accomplish. Furthermore, security concerns have become more prevalent as a result of increased hacker activity. The objective of this article is to analyze these ethical issues in an effort to eliminate them as a hinderance to EHR implementation. As of now, 98% of all hospitals use EHRs. Between 2009 and 2015, the government allocated money and resources for incentive programs to get EHRs into every healthcare providers' office. During this time period, over $800 million dollars facilitated EHR implementation. Using this as a tool EHRs negative perception can be revitalized and combated with the meaningful use program. This article will highlight the ethical implications of EHRs and suggest ways in which to avoid them to make EHRs available in every healthcare provider.
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44

Hayes, Don. "Electronic Health Record and Physician Burnout." American Journal of Medical Quality 34, no. 4 (January 13, 2019): 416. http://dx.doi.org/10.1177/1062860618824015.

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45

Ohno-Machado, Lucila, Jihoon Kim, Rodney A. Gabriel, Grace M. Kuo, and Michael A. Hogarth. "Genomics and electronic health record systems." Human Molecular Genetics 27, R1 (April 18, 2018): R48—R55. http://dx.doi.org/10.1093/hmg/ddy104.

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46

FINKELSTEIN, JOEL B. "First Electronic Health Record Standards Drafted." Family Practice News 37, no. 2 (January 2007): 51. http://dx.doi.org/10.1016/s0300-7073(07)70112-3.

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47

Sanders, David S., Daniel J. Lattin, Sarah Read-Brown, Daniel C. Tu, David J. Wilson, Thomas S. Hwang, John C. Morrison, Thomas R. Yackel, and Michael F. Chiang. "Electronic Health Record Systems in Ophthalmology." Ophthalmology 120, no. 9 (September 2013): 1745–55. http://dx.doi.org/10.1016/j.ophtha.2013.02.017.

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48

Nøhr, C. "Evaluation of Electronic Health Record Systems." Yearbook of Medical Informatics 15, no. 01 (August 2006): 107–13. http://dx.doi.org/10.1055/s-0038-1638481.

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SummaryThe objective of this article is to present an overview of the various considerations to be made prior to evaluating electronic health record (EHR) systems.From the methodological literature, a number of themes for decisions are presented and related to the contemporary EHR situation. Special attention is paid to a number of important methodological themes.Definitive checklists for evaluation of EHR systems can not be recommended, but seven key steps are listed to guide the design of evaluation projects.It is concluded that the issues presented are not completely exhausted and the seven key steps might have to include iterative loops because of interdependencies between some of the steps.
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49

Bufe, Gina M., and Renee John R. Repique. "Toward a Meaningful Electronic Health Record." Journal of the American Psychiatric Nurses Association 20, no. 1 (January 2014): 55–57. http://dx.doi.org/10.1177/1078390313519677.

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50

Repique, Renee John R. "Cloning in Electronic Mental Health Record." Journal of the American Psychiatric Nurses Association 20, no. 4 (June 30, 2014): 268–70. http://dx.doi.org/10.1177/1078390314542405.

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