Volume 10, Issue 4 (2022)
Health Educ Health Promot 2022, 10(4): 735-745 |
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Javanmard Z, Ameri F, Norouzi Shadmehri N, Karim Nia F, Mohamadyan M, Rajabi E. Types of Electronic Health Records Designed in Iran: A Systematic Review. Health Educ Health Promot 2022; 10 (4) :735-745
URL: http://hehp.modares.ac.ir/article-5-62665-en.html
URL: http://hehp.modares.ac.ir/article-5-62665-en.html
1- Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
2- “Student Research Committee” and “School of Paramedical Sciences”, Mashhad University of Medical Sciences, Mashhad, Iran
3- Department of Health Information Technology, Ferdows School of Allied Medicine and Public Health, Birjand University of Medical Sciences, Birjand, Iran
4- Department of Surgical Technology, Ferdows School of Allied Medicine and Public Health, Birjand University of Medical Sciences, Birjand, Iran
2- “Student Research Committee” and “School of Paramedical Sciences”, Mashhad University of Medical Sciences, Mashhad, Iran
3- Department of Health Information Technology, Ferdows School of Allied Medicine and Public Health, Birjand University of Medical Sciences, Birjand, Iran
4- Department of Surgical Technology, Ferdows School of Allied Medicine and Public Health, Birjand University of Medical Sciences, Birjand, Iran
Abstract: (1334 Views)
Aims: The Electronic Health Record is a collection of medical information about a person's health status. The development of electronic health records has occurred worldwide, and developing countries, including Iran, have been no exception and have tried to take action in this regard. Therefore, this study aimed to review the types of Electronic Health Records designed in Iran.
Information & Methods: This systematic review was conducted without any time limitation until 12 June 2022 by searching the keywords "Electronic Health Record", and "Iran", and their synonyms in the Web of Science, PubMed, Scopus, SID, and Magiran databases, and Google Scholar search engine. Published articles on the development or design of electronic health records in Iran were reviewed.
Findings: Among 28 papers, 11, 6, and 11 records were designed in Electronic Health Record, Electronic Medical Record, and Personal Electronic Record formats, respectively. Approximately 46% of the studies only designed electronic records but never implemented them, and the rest (54%) had completed the electronic record development. Among 15 implemented records, 7, 4, and 4 were in Personal Electronic Record, Electronic Health Record, and Electronic Medical Records formats, respectively. In addition, implementation platforms for records were in the form of web-based, mobile-based, and windows-based applications. Most of the minimum data set in the designed records were demographic data, medical history, therapeutic procedures, and laboratory tests.
Conclusion: Designing various Electronic Health Record systems for different diseases and clinical conditions can be an effective step toward developing a national Electronic Health Record.
Information & Methods: This systematic review was conducted without any time limitation until 12 June 2022 by searching the keywords "Electronic Health Record", and "Iran", and their synonyms in the Web of Science, PubMed, Scopus, SID, and Magiran databases, and Google Scholar search engine. Published articles on the development or design of electronic health records in Iran were reviewed.
Findings: Among 28 papers, 11, 6, and 11 records were designed in Electronic Health Record, Electronic Medical Record, and Personal Electronic Record formats, respectively. Approximately 46% of the studies only designed electronic records but never implemented them, and the rest (54%) had completed the electronic record development. Among 15 implemented records, 7, 4, and 4 were in Personal Electronic Record, Electronic Health Record, and Electronic Medical Records formats, respectively. In addition, implementation platforms for records were in the form of web-based, mobile-based, and windows-based applications. Most of the minimum data set in the designed records were demographic data, medical history, therapeutic procedures, and laboratory tests.
Conclusion: Designing various Electronic Health Record systems for different diseases and clinical conditions can be an effective step toward developing a national Electronic Health Record.
Keywords: Electronic Health Records [MeSH], Electronic Medical Records [MeSH], Personal Health Records [MeSH], Iran [MeSH]
Article Type: Systematic Review |
Subject:
Health Communication
Received: 2022/07/20 | Accepted: 2022/10/20 | Published: 2022/11/22
Received: 2022/07/20 | Accepted: 2022/10/20 | Published: 2022/11/22
References
1. Ajami S, Ketabi S. Medical records departments and multi-criteria decision-making. Health Inf Manag. 2013;9(5):697-711. [Persian] [Link]
2. Ammenwerth E, Brender J, Nykänen P, Prokosch H-U, Rigby M, Talmon J. Visions and strategies to improve evaluation of health information systems: Reflections and lessons based on the HIS-EVAL workshop in Innsbruck. Int J Med Inform. 2004;73(6):479-91. [Link] [DOI:10.1016/j.ijmedinf.2004.04.004]
3. Mirani N, Ayatollahi H, Haghani H. A survey on barriers to the development and adoption of electronic health records in Iran. J Health Administration. 2013;15(50):65-75. [Persian] [Link]
4. Columbus ML. The evaluation and effectiveness of an interdisciplinary course in Electronic Health Record (EHR) technology for health and rehabilitation professionals [Dissertation]. Pittsburgh, Pennsylvania: University of Pittsburgh; 2006. [Link]
5. Moeil Tabaghdehi K, Ghazisaeedi M, Shahmoradi L, Karami H, Bashiri A. Designing a minimum data set for major thalassemia patients: Towards electronic personal health record. J Community Health Res. 2018;7(1):24-31. [Link]
6. Byrd JB, Vigen R, Plomondon ME, Rumsfeld JS, Box TL, Fihn SD, et al. Data quality of an electronic health record tool to support VA cardiac catheterization laboratory quality improvement: the VA Clinical Assessment, Reporting, and Tracking System for Cath Labs (CART) program. Am Heart J. 2013;165(3):434-40. [Link] [DOI:10.1016/j.ahj.2012.12.009]
7. Logue MD, Effken JA. An exploratory study of the personal health records adoption model in the older adult with chronic illness. J Innov Health Inform. 2013;20(3):151-69. [Link] [DOI:10.14236/jhi.v20i3.21]
8. Ahmadi M, Samadbeik M, Sadoughi F. Modeling of outpatient prescribing process in iran: a gateway toward electronic prescribing system. Iran J Pharm Res. 2014;13(2):725-38. [Link]
9. Rezaeibagha F, Win KT, Susilo W. A systematic literature review on security and privacy of electronic health record systems: Technical perspectives. Health Inf Manag J. 2015;44(3):23-38. [Link] [DOI:10.1177/183335831504400304]
10. Langarizadeh M, Gholinezhad KM. Designing a conceptual model of laboratory reporting system for data exchanging with Iranian electronic health record system abstract. J Health Admin. 2017;20(68):10-22. [Persian] [Link]
11. Liu Z, Han B, Jiang R, Huang Y, Ma C, Wen J, et al. Mental health status of doctors and nurses during COVID-19 epidemic in china. Lancet. 2020;4(3):1-25. [Link] [DOI:10.2139/ssrn.3551329]
12. Nguyen CT. Examination of cloud privacy & security regulations of electronic health records [Dissertation]. Utica, New York: Utica College; 2021. [Link]
13. Patel RS, Bachu R, Adikey A, Malik M, Shah M. Factors related to physician burnout and its consequences: A review. Behav Sci (Basel). 2018;8(11):98. [Link] [DOI:10.3390/bs8110098]
14. Boonstra A, Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Serv Res. 2010;10:231. [Link] [DOI:10.1186/1472-6963-10-231]
15. Janssen A, Donnelly C, Elder E, Pathmanathan N, Shaw T. Electronic medical record implementation in tertiary care: factors influencing adoption of an electronic medical record in a cancer centre. BMC Health Serv Res. 2021;21(1):23. [Link] [DOI:10.1186/s12913-020-06015-6]
16. Kupchunas WR. Personal health record: New opportunity for patient education. Orthop Nurs. 2007;26(3):185-91. [Link] [DOI:10.1097/01.NOR.0000276971.86937.c4]
17. Toni E, Pirnejad H, Niazkhani Z. The content and structure of electronic personal health records: A systematic review. J Health Biomed Inform. 2020;7(1):73-90. [Persian] [Link]
18. Greenhalgh T, Hinder S, Stramer K, Bratan T, Russell J. Adoption, non-adoption, and abandonment of a personal electronic health record: case study of HealthSpace. BMJ. 2010;341:c5814. [Link] [DOI:10.1136/bmj.c5814]
19. Moeil Tabaghdehi K, Ghazisaeedi M, Shahmoradi L, Karami H. Designing and creating personal electronic health records for thalassemia major patients. J Payavard Salamat. 2018;11(5):567-77. [Persian] [Link]
20. Tanhapour M, Safaei AA. Designing and modeling personal health record systems based on health social network. J Health Biomed Inform. 2017;4(3):168-80. [Persian] [Link]
21. Tanhapour M, Safaei AA. Requirements specification of creating a hybrid model of phr based on social networking. J Payavard Salamat. 2018;11(6):618-31. [Persian] [Link]
22. Salehi F, Bastani P, Ahmadian L, Samadi K, Yazdani A, Sharifian R. Prerequisites of personal health record for chronic kidney disease: A scoping review and evaluation of the content validity. Stud Health Technol Inform. 2021;285:179-84. [Link] [DOI:10.3233/SHTI210594]
23. Saeedi MG, Javid GE, Mohammadzadeh N, Vali HAK. Determining the minimum data set of diabetic foot ulcer patients' electronic medical records. J Payavard Salamat. 2021;14(5):443-53. [Persian] [Link]
24. Farzandipour M, Nabovati E, Farrokhian A, Akbari H, Rezaei hasanvand F, Sharif R. Designing and usability assessing an electronic personal health record for patients with chronic heart failure in a developing country. Inform Med Unlocked. 2021;27:100804. [Link] [DOI:10.1016/j.imu.2021.100804]
25. Aalipour E, Ghazisaeedi M, Sedighi Moghadam MR, Shahmoradi L, Mousavi B, Beigy H. A minimum data set of user profile or electronic health record for chemical warfare victims' recommender system. J Family Med Prim Care. 2020;9(6):2995-3004. [Link] [DOI:10.4103/jfmpc.jfmpc_261_20]
26. Hashemi N, Sheikhtaheri A, Hashemi NS, Rawassizadeh R. Electronic medical records for mental disorders: what data elements should these systems contain? Stud Health Technol Inform. 2019;260:25-32. [Link]
27. Abbasi R, Khajouei R, Mirzaee M. Evaluating the demographic and clinical minimum data sets of Iranian National Electronic Health Record. BMC Health Serv Res. 2019;19(1):450. [Link] [DOI:10.1186/s12913-019-4284-x]
28. Safdari R, Mahdavi S, Shahmoradi L, Adabi K, Tahmasebian S, Nazari M. Designing and development of electronic health records for patients with hydatidiform mole and evaluation of completeness of medical records. J Payavard Salamat. 2019;12(5):359-66. [Persian] [Link]
29. Sadoughi F, Yazdanian A, Hamedan F. Provision of the minimum dataset of asthma for electronic health record. J Family Med Prim Care. 2018;7(6):1309-13. [Link] [DOI:10.4103/jfmpc.jfmpc_46_18]
30. Shahbazi M, Safdari R, Zarei M. Determining the minimum data set for uveitis patient's electronic health records in Iran. J Payavard Salamat. 2018;12(2):120-7. [Persian] [Link]
31. Ghazi Saeidi M, Moghimi Araghi S, Babadi S. Determining the required minimum data set and data elements to create a web-based electronic record for glaucoma patients. J Payavard Salamat. 2018;11(6):675-84. [Persian] [Link]
32. Rezaee R, AlizadehNaini M, Halim Z. Designing and implementation of web-based personal health record for patients with inflammatory bowel disease. Govaresh. 2018;23(2):100-6. [Persian] [Link]
33. Asgari I. Development an electronic oral health record application for educational dental setting. J Educ Health Promot. 2018;7:124. [Link] [DOI:10.4103/jehp.jehp_177_17]
34. Farzandipour M, Jeddi FR, Gilasi HR, Shirzadi D. Clinical and para clinical information needs of infertility electronic health records in Iran: A delphi study. Acta Inform Med. 2017;25(3):163-8. [Link] [DOI:10.5455/aim.2017.25.163-168]
35. Ghazisaeedi M, Tansaz M, Shahmoradi L, Nasiri A, Tahmasebi F, Sahraei Z. Electronic record for infertile patients based on traditional medicine approach. J Health Biomed Inform. 2017;3(4):259-71. [Persian] [Link]
36. Safdari R, Mohammazadeh N, Ggheibi N. Designing of elementary school student's health measurement electronic records. Health Inform Manag. 2017;13(7):491-7. [Persian] [Link]
37. Kamel Ghalibaf A, Mazloum Khorasani Z, Gholian-Aval M, Tabesh H, Tara M. Design, implementation, and evaluation of self-describing diabetes medical records: A pilot study. JMIR Med Inform. 2017;5(2):e10. [Link] [DOI:10.2196/medinform.6862]
38. Rezaei Hachesu P, Samad T, Soltani, Mirnia K. Designing an electronic medical record system of infants in hospitals of Tabriz University of Medical Sciences. J Health Biomed Inform. 2016;2(4):229-39. [Persian] [Link]
39. Safdari R, Ghazisaeidi M, Pezeshki A, Mahmoodzadeh B, Nikmaram A. The introduction of electronic medical records for chronic kidney disease as a reliable method for the diagnosis of the disease. J Adv Med Biomed Res. 2016;24(104):112-20. [Persian] [Link]
40. Azizi A, Aboutorabi R, Mazloum-Khorasani Z, Afzal-Aghaea M, Tara M. Development, validation, and evaluation of web-based iranian diabetic personal health record: rationale for and protocol of a randomized controlled trial. JMIR Res Protoc. 2016;5(1):e39. [Link] [DOI:10.2196/resprot.5201]
41. Langarizadeh M, Samimi M, Behzadian H. Development of personal health record applicationfor gestational diabetes, based on smart phone. Nurs Midwifery J. 2016;14(8):714-27. [Persian] [Link]
42. Samadpour H, Sadoughi F. Data set of electronic personal health records for Iranian students of medical sciences. Health Inform Manag. 2015;12(4):416-25. [Persian] [Link]
43. Babalhavaeji F, Emami Z, Shahrokhi Farid R. Information needs study on electronic health records of diabetic patients from endocrinologist perspective. J Health Manag. 2014;5(2):13-24. [Persian] [Link]
44. Abdolkhani R, Halabchi F, Safdari R, Dargahi H, Shadanfar K. Designing an electronic personal health record for professional Iranian athletes. Asian J Sports Med. 2014;5(4):e23809. [Link] [DOI:10.5812/asjsm.23809]
45. Ahmadi M, Khoshkam M, Babaei R. Information needs study on electronic health records of diabetic patients from nephrologist's perspective. J Health Admin. 2012;15(47):13-24. [Persian] [Link]
46. Afrizal SH, Hidayanto AN, Handayani PW, Budiharsana M, Eryando T. Narrative review for exploring barriers to readiness of electronic health record implementation in primary health care. Healthc Inform Res. 2019;25(3):141-52. [Link] [DOI:10.4258/hir.2019.25.3.141]
47. Jahanbakhsh M, Tavakoli N, Mokhtari H. Challenges of EHR implementation and related guidelines in Isfahan. Proc Comput Sci. 2011;3:1199-204. [Link] [DOI:10.1016/j.procs.2010.12.194]
48. Mansour E. Egyptian patients' perceptions of using personal health records (PHRs): an exploratory study. Global Knowledge, Memory and Communication. 2018;67(8/9):523-46. [Link] [DOI:10.1108/GKMC-04-2018-0034]
49. George TP, Hopla DL. Advantages of personal health records. Nurs 2020 Critic Care. 2015;10(6):10-2. [Link] [DOI:10.1097/01.CCN.0000472852.70431.1b]
50. Heart T, Ben-Assuli O, Shabtai I. A review of PHR, EMR and EHR integration: A more personalized healthcare and public health policy. Health Policy Technol. 2017;6(1):20-5. [Link] [DOI:10.1016/j.hlpt.2016.08.002]
51. Sadoughi F, Nasiri S, Langarizadeh M. Necessity for designing national minimum data set of perinatal period in Iran: A review article. Med J Mashhad Univ Med Sci. 2014;57(5):727-37. [Persian] [Link]
52. Mahmoudvand Z, Kamkar M, Shahmoradi L, Nejad AF. Determination of Minimum Data Set (msd) in echocardiography reporting system to exchange with iran's Electronic Health Record (EHR) system. Acta Inform Med. 2016;24(2):116-9. [Link] [DOI:10.5455/aim.2016.24.116-119]
53. Weintraub WS, Karlsberg RP, Tcheng JE, Boris JR, Buxton AE, et al. ACCF/AHA 2011 key data elements and definitions of a base cardiovascular vocabulary for electronic health records: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Clinical Data Standards. Circulation. 2011;124(1):103-23. [Link] [DOI:10.1161/CIR.0b013e31821ccf71]
54. Abbasi M, Ahmadian L, Amirian M, Tabesh H, Eslami S. The development of a minimum data set for an infertility registry. Perspec Health Inf Manag. 2018;15(Winter):1b [Link]
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