A systematic review of data elements of computerized physician order entry (CPOE): mapping the data to FHIR

References

• Boostani K, Noshad H, Farnood F, Rezaee H, Teimouri S, Entezari-Maleki T, et al. Detection and management of common medication errors in internal medicine wards: impact on medication costs and patient care. Adv Pharm Bull. 2019;9(1):174–79. doi:10.15171/apb.2019.020.
   PubMed Web of Science ®Google Scholar
• Bicket MC, Kattail D, Yaster M, Wu CL, Pronovost P. An analysis of errors, discrepancies, and variation in opioid prescriptions for adult outpatients at a teaching hospital. J Opioid Manag. 2017;13(1):51. doi:10.5055/jom.2017.0367.
   PubMedGoogle Scholar
• Makary MA, Daniel MJB. Medical error—the third leading cause of death in the US. BMJ. 2016;353:i2139. doi:10.1136/bmj.i2139.
   PubMed Web of Science ®Google Scholar
• Nuckols TK, Smith-Spangler C, Morton SC, Asch SM, Patel VM, Anderson LJ, Deichsel EL, Shekelle PG. The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis. 2014;3(1):56. doi:10.1186/2046-4053-3-56.
   Google Scholar
• Prgomet M, Li L, Niazkhani Z, Georgiou A, Westbrook JI. Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis. J Am Med Inform Assoc. 2017;24(2):413–22. doi:10.1093/jamia/ocw145.
   PubMed Web of Science ®Google Scholar
• Donaldson MS, Corrigan JM, Kohn LT. To err is human: building a safer health system. National Academies Press; 2000.
   Google Scholar
• Koppel R, Metlay JP, Cohen A, Abaluck B, Localio AR, Kimmel SE, Strom, BL. Role of computerized physician order entry systems in facilitating medication errors. JAMA. 2005;293(10):1197–203. doi:10.1001/jama.293.10.1197.
   PubMed Web of Science ®Google Scholar
• Dyer J, TFJSAMJ K. Assisted reproductive technology in South Africa: first results generated from the South African register of assisted reproductive techniques. S Afr Med J. 2012;102(3):167. doi:10.7196/SAMJ.5311.
   PubMed Web of Science ®Google Scholar
• Loue S, Loue SJ, Sajatovic M. Encyclopedia of aging and public health. Springer Science & Business Media; 2008. doi:10.1007/978-0-387-33754-8.
   Google Scholar
• Ahmadi M, Alipour J, Mohammadi A, Khorami FJB. Development a minimum data set of the information management system for burns. Burns. 2015;41(5):1092–99. doi:10.1016/j.burns.2014.12.009.
   PubMed Web of Science ®Google Scholar
• Mahmoudvand Z, Kamkar M, Shahmoradi L, AFJAIM N. Determination of minimum data set (msd) in echocardiography reporting system to exchange with iran’s electronic health record (ehr) system. 2016;24(2):116. doi:10.5455/aim.2016.24.116-119.
   Google Scholar
• Jahanbakhsh M, Moghaddasi H, AJHim H. Designing of diabetic mellitus minimum data sets: indicator basis of diabetic management effectiveness. Health Inf Manage. 2010;7(3):330–40.
   Google Scholar
• Kalankesh LR, Dastgiri S, Rafeey M, Rasouli N, LJAIM V. Minimum data set for cystic fibrosis registry: a case study in Iran. Acta Informatica Medica. 2015;23(1):18. doi:10.5455/aim.2015.23.18-21.
   PubMedGoogle Scholar
• Entzeridou E, Markopoulou E, Mollaki V. Public and physician’s expectations and ethical concerns about electronic health record: benefits outweigh risks except for information security. Int J Med Inform. 2018;110:98–107. doi:10.1016/j.ijmedinf.2017.12.004.
   PubMed Web of Science ®Google Scholar
• Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, Clarke M, Devereaux PJ, Kleijnen J, Moher D. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Ann Intern Med. 2009;151(4):W-65-W–94. doi:10.7326/0003-4819-151-4-200908180-00136.
   Web of Science ®Google Scholar
• Ouzzani M, Hammady H, Fedorowicz Z, AJSr E. Rayyan—a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):210. doi:10.1186/s13643-016-0384-4.
   PubMedGoogle Scholar
• Bender D, Sartipi K, editors HL7 FHIR: an agile and RESTful approach to healthcare information exchange. Proceedings of the 26th IEEE international symposium on computer-based medical systems; Porto, Portugal. IEEE, 2013. p. 326–331. doi:10.1109/CBMS.2013.6627810.
   Google Scholar
• Fast Healthcare Interoperability Resources [Internet]. Available from: http://hl7.org/fhir/ (Accessed on:21-June-2020).
   Google Scholar
• Jáuregui OI, Bruchanski L, Lede DAR, Otero CM, Luna DR, editors. Improving patient safety through the design and development of a computerized Provider order entry for parenteral nutrition linked to a barcode medication administration record. Precision Healthcare through Informatics: IOS Press; 2017. p. 1038–1042.
   Google Scholar
• Kim GR, Chen AR, Arceci RJ, Mitchell SH, Kokoszka KM, Daniel D, Lehmann CU. Error reduction in pediatric chemotherapy: computerized order entry and failure modes and effects analysis. Arch Pediatr Adolesc Med. 2006;160(5):495–98. doi:10.1001/archpedi.160.5.495.
   PubMedGoogle Scholar
• Zhang Y, Long X, Chen W, Li H, Duan H, Shang Q. A concise drug alerting rule set for Chinese hospitals and its application in computerized physician order entry (CPOE). Springerplus. 2016;5(1):2067. doi:10.1186/s40064-016-3701-4.
   PubMedGoogle Scholar
• Grion AM, Gallo U, Tinjala DD, Daragjati J, Loreggian M, Cardaci G, Mangoni A, Pilotto A. A new computer-based tool to reduce potentially inappropriate prescriptions in hospitalized geriatric patients. Drugs Aging. 2016;33(4):267–75. doi:10.1007/s40266-015-0340-3.
   PubMed Web of Science ®Google Scholar
• Jebraeily M, Ghazisaeidi M, Safdari R, Makhdoomi K, Rahimi B. Hemodialysis adequacy monitoring information system: minimum data set and capabilities required. Acta Informatica Medica. 2015;23(4):239. doi:10.5455/aim.2015.23.239-242.
   PubMedGoogle Scholar
• Kouladjian L, Gnjidic D, Chen TF, Hilmer SN. Development, validation and evaluation of an electronic pharmacological tool: the drug burden index calculator©. Res Soc Adm Pharm. 2016;12(6):865–75. doi:10.1016/j.sapharm.2015.11.002.
   PubMed Web of Science ®Google Scholar
• Khammarnia M, Sharifian R, Zand F, Keshtkaran A, Barati OJCC. Informatics, nursing. Designing computerized Provider order entry software in Iran. The Nurses’ And Physicians’ Viewpoints. 2016;34(9):413–20. doi:10.1097/CIN.0000000000000250.
   Google Scholar
• Eliasson M, Bastholm P, Forsberg P, Henriksson K, Jacobson L, Nilsson A, Gustafsson, LL. Janus computerised prescribing system provides pharmacological knowledge at point of care–design, development and proof of concept. Eur J Clin Pharmacol. 2006;62(4):251–58. doi:10.1007/s00228-006-0114-2.
   PubMed Web of Science ®Google Scholar
• Jose JH, Adler SM, Keyes WG, Bradford JM. Clinical information systems for intensive care, pediatric critical care, and neonatology. J Intensive Care Med. 1997;12(2):79–92. doi:10.1177/088506669701200203.
   Web of Science ®Google Scholar
• Schiff GD, Rucker TD. Computerized prescribing: building the electronic infrastructure for better medication usage. Jama. 1998;279(13):1024–29. doi:10.1001/jama.279.13.1024.
   PubMed Web of Science ®Google Scholar
• Gayoso-Rey M, Romero-Ventosa EY, Leboreiro-Enríquez B, Álvarez-Sánchez MJ, Buján-de Gonzalo L, García-Comesaña J, Piñeiro-Corrales G. Standardization consensus of a hospital drug database: an efficient tool. Ther Innovation Regul Sci. 2019;1–8. doi:10.1177/2168479018815864.
   Web of Science ®Google Scholar
• Miller K, Mansingh G. OptiPres: a distributed mobile agent decision support system for optimal patient drug prescription. Inform Syst Front. 2017;19(1):129–48. doi:10.1007/s10796-015-9595-9.
   Web of Science ®Google Scholar
• Rosenbaum BP, Silkin N, Miller RA. Easily configured real-time CPOE Pick off tool supporting focused clinical research and quality improvement. J Am Med Inform Assn. 2014;21(3):564–68. doi:10.1136/amiajnl-2013-001950.
   PubMed Web of Science ®Google Scholar
• Ogallo W, Kanter AS. Modelling the medication management system for resource limited settings: a formal representation of the prescribing and dispensing phases. Stud Health Technol Inform. 2015;216:1106.
   PubMedGoogle Scholar
• Wright A, Feblowitz J, Samal L, McCoy AB, Sittig DF. The medicare electronic health record incentive program: provider performance on core and menu measures. Health Serv Res. 2014;49(1pt2):325–46. doi:10.1111/1475-6773.12134.
   PubMedGoogle Scholar
• Tamblyn R, Huang A, Kawasumi Y, Bartlett G, Grad R, Jacques A, Dawes M, Abrahamowicz M, Perreault R, Taylor L, et al. The development and evaluation of an integrated electronic prescribing and drug management system for primary care. J Am Med Inform Assn. 2006;13(2):148–59. doi:10.1197/jamia.M1887.
   PubMed Web of Science ®Google Scholar
• Ahmadi M, Mohammadi A, Chraghbaigi R, Fathi T, Baghini MS. Developing a minimum data set of the information management system for orthopedic injuries in iran. Iran Red Crescent Med J. 2014;16(7). doi:10.5812/ircmj.17020.
   Web of Science ®Google Scholar
• Garabedian PM, Wright A, Newbury I, Volk LA, Salazar A, Amato MG, Nathan AW, Forsythe KJ, Galanter WL, Kron K, et al. Comparison of a prototype for indications-based prescribing with 2 commercial prescribing systems. JAMA Netw Open. 2019;2(3):e191514–e. doi:10.1001/jamanetworkopen.2019.1514.
   PubMed Web of Science ®Google Scholar
• Puente C, Sobrino A, Villa-Monte A, Olivas JA, editors Time-oriented system to control critical medications. 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) Seville, Spain, May 13–15, 2019, Proceedings 14; 2020: Springer.
   Google Scholar
• Horsky J, Kaufman DR, Patel VL, eds. Computer-based drug ordering: evaluation of interaction with a decision-support system. Medinfo, IOS Press; 2004. p. 1063–1067.
   Google Scholar
• Beuscart-Zéphir MC, Pelayo S, Anceaux F, Meaux J-J, Degroisse M, PJIjomi D. Impact of CPOE on doctor–nurse cooperation for the medication ordering and administration process. Int J Med Inform. 2005;74(7–8):629–41. doi:10.1016/j.ijmedinf.2005.01.004.
   PubMed Web of Science ®Google Scholar
• Eliasson M, Bastholm P, Forsberg P, Henriksson K, Jacobson L, Nilsson A, Gustafsson LL. Janus computerised prescribing system provides pharmacological knowledge at point of care–design, development and proof of concept. Eur J Clin Pharmacol. 2006;62(4):251–58. doi:10.1007/s00228-006-0114-2.
   PubMed Web of Science ®Google Scholar
• Gayoso-Rey M, Romero-Ventosa EY, Leboreiro-Enríquez B, Álvarez-Sánchez MJ, Buján-de Gonzalo L, García-Comesaña J, Piñeiro-Corrales G. Standardization consensus of a hospital drug database: an efficient tool. Ther Innovation Regul Sci. 2020;54(1):85–92. doi:10.1007/s43441-019-00032-2.
   PubMed Web of Science ®Google Scholar
• Pollock DA, Adams DL, Bernardo LM, Bradley V, Brandt MD, Davis TE, Davis TE, Garrison HG, Iseke RM, Johnson S, et al. Data elements for emergency department systems, release 1.0 (DEEDS): a summary report. J Emerg Nurs. 1998;24(1):35–44. doi:10.1016/S0099-1767(98)90168-4.
   PubMedGoogle Scholar
• Zhang Y, Long X, Chen W, Li H, Duan H, Shang QJS. A concise drug alerting rule set for Chinese hospitals and its application in computerized physician order entry (CPOE). SpringerPlus. 2016;5(1):2067. doi:10.1186/s40064-016-3701-4.
   PubMedGoogle Scholar
• Maryam A, Azadeh B. A minimum data set of radiology reporting system for exchanging with electronic health record system in Iran. Payavard Salamat. 2014;8(2):121–133.
   Google Scholar
• DJCTT J. Smart cards—the key to secure and flexible health care provision. 2003;15(11):8.
   Google Scholar
• Ausset S, Bouaziz H, Brosseau M, Kinirons B, DJBjoa B. Improvement of information gained from the pre‐anaesthetic visit through a quality‐assurance programme. Br J Anaesth. 2002;88(2):280–83. doi:10.1093/bja/88.2.280.
   PubMed Web of Science ®Google Scholar
• Kluger M, Tham E, Coleman N, Runciman W, Bullock MJA. Inadequate pre‐operative evaluation and preparation: a review of 197 reports from the Australian incident monitoring study. Anaesthesia. 2000;55(12):1173–78. doi:10.1046/j.1365-2044.2000.01725.x.
   PubMed Web of Science ®Google Scholar
• Dregan A, Toschke MA, Wolfe CD, Rudd A, Ashworth M, Gulliford MC, et al. Utility of electronic patient records in primary care for stroke secondary prevention trials. BMC Public Health. 2011;11(1):86. doi:10.1186/1471-2458-11-86.
   PubMedGoogle Scholar
• Healthcare Interoperability [Internet]. Available from: http://www.healthintersections.com.au/?p. (Accessed on:21-June-2020).
   Google Scholar
• Williams K, Robinson K, AJHIMJ T. Data quality Maintenance of the patient Master Index (PMI): a ‘snap-shot’ of public healthcare facility PMI data quality and linkage activities. Health Inf Manag J. 2006;35(1):10. doi:10.1177/183335830603500104.
   PubMedGoogle Scholar
• Barnicot K, Insua-Summerhayes B, Plummer E, Hart A, Barker C, Priebe S. Staff and patient experiences of decision-making about continuous observation in psychiatric hospitals. Soc Psych Psych Epid. 2017;52(4):473–83. doi:10.1007/s00127-017-1338-4.
   PubMed Web of Science ®Google Scholar
• Hayrinen K, KJSiht S. The core data elements of electronic health record in Finland. Stud Health Technol Inform. 2005;116 informatics:131–36.
   PubMedGoogle Scholar
• Aubert BA, GJSS H. Medicine. Adoption of smart cards in the medical sector: the Canadian experience. Social Sci Med. 2001;53(7):879–94. doi:10.1016/S0277-9536(00)00388-9.
   PubMed Web of Science ®Google Scholar
• Latha NA, Murthy BR. Sunitha UJIIJoACS, applications. Smart card based integrated electronic health record system for clinical practice. International Journal of Advanced Computer Science and Applications. 2012;3(10):123–127.
   Google Scholar
• Kuo G, Phillips R, Graham D, JJBQ H. Safety. Medication errors reported by US family physicians and their office staff. Qual Saf Health Care. 2008;17(4):286–90. doi:10.1136/qshc.2007.024869.
   PubMedGoogle Scholar
• Kuo GM, Touchette DR, Marinac JS, CPPBRNCJPTJoH PA, Therapy D. Drug errors and related interventions reported by United States clinical pharmacists: the American college of clinical pharmacy practice‐based research network medication error detection, a melioration and prevention study. Pharmacotherapy. 2013;33(3):253–65. doi:10.1002/phar.1195.
   PubMed Web of Science ®Google Scholar
• Snyder RA, Abarca J, Meza JL, Rothschild JM, Rizos A, Bates DWJP. Reliability evaluation of the adapted national coordinating council medication error reporting and prevention (NCC MERP) index. Pharmacoepidemiol Drug Saf. 2007;16(9):1006–13. doi:10.1002/pds.1423.
   PubMed Web of Science ®Google Scholar
• Chan J, Shojania KG, Easty AC, Etchells EE. Does user-centred design affect the efficiency, usability and safety of CPOE order sets? J Am Med Inform Assn. 2011;18(3):276–81. doi:10.1136/amiajnl-2010-000026.
   PubMed Web of Science ®Google Scholar
• Randhawa GK, Garnett A, Huang S, Dhot P, Fyfe M-L. Evidence-based usability principles for safe computerized Provider order entry (CPOE) interface design. Stud Health Technol Inform. 2019;264:1947. doi:10.3233/SHTI190727.
   PubMedGoogle Scholar
• Cresswell KM, Lee L, Mozaffar H, Williams R, Sheikh A, NeP T, Robertson A, Schofield J, Coleman J, Slee A, et al. Sustained user engagement in health information technology: the long road from implementation to system optimization of computerized physician order entry and clinical decision support systems for prescribing in hospitals in England. Health Serv Res. 2017;52(5):1928–57. doi:10.1111/1475-6773.12581.
   PubMed Web of Science ®Google Scholar
• Hundt AS, Adams JA, Schmid JA, Musser LM, Walker JM, Wetterneck TB, Douglas SV, Paris BL, Carayon P. Conducting an efficient proactive risk assessment prior to CPOE implementation in an intensive care unit. Int J Med Inform. 2013;82(1):25–38. doi:10.1016/j.ijmedinf.2012.04.005.
   PubMed Web of Science ®Google Scholar
• Rashid SM, McCusker JP, Pinheiro P, Bax MP, Santos HO, Stingone JA. The semantic data dictionary–an approach for describing and annotating data. Data intelligence. 2020;2(4):443–86.
   PubMedGoogle Scholar