Integration of electronic health records in multidisciplinary health teams: Review
Keywords:
Electronic Health Records (EHRs), Patient-Centered Care, Healthcare Governance, Health Data Integration, Patient-Reported Outcomes (PROs)Abstract
This review examines the incorporation of patient-reported outcomes (PROs) into electronic health records (EHRs) to advance patient-centered care and enhance population health. The study highlights the necessity of creating strong governance frameworks that balance centralized and decentralized models to achieve standardization alongside flexibility. Considerations of ethics and legality, especially in relation to patient privacy and data security, are essential for the responsible utilization of data in research and public health monitoring. The selection of suitable PRO measures necessitates a systematic methodology, taking into account both customized, condition-specific outcomes and population-wide metrics for comprehensive comparisons. Engaging stakeholders, including patients, clinicians, researchers, and IT specialists, is crucial for the successful implementation and utilization of data. The review emphasizes the necessity of establishing clear objectives, implementing a structured selection framework, and providing comprehensive training to guarantee high-quality data collection and actionable insights. Effective integration necessitates a balance between operational efficiency and ethical considerations, with the ultimate goal of enhancing health outcomes and promoting a more responsive, data-driven healthcare system. A universal approach is not yet achievable; however, the potential benefits justify considerable investment in time and resources.
Downloads
References
Copley-Merriman C, Zelt S, Clark M, Gnanasakthy A. Impact of measuring patient-reported outcomes in dermatology drug development. The Patient-Patient-Centered Outcomes Research. 2017 Apr;10:203-13. DOI: https://doi.org/10.1007/s40271-016-0196-6
Psotka MA, von Maltzahn R, Anatchkova M, Agodoa I, Chau D, Malik FI, Patrick DL, Spertus JA, Wiklund I, Teerlink JR. Patient-reported outcomes in chronic heart failure: applicability for regulatory approval. JACC: Heart Failure. 2016 Oct;4(10):791-804. DOI: https://doi.org/10.1016/j.jchf.2016.04.010
Jensen RE, Snyder CF, Basch E, Frank L, Wu AW. All together now: findings from a PCORI workshop to align patient-reported outcomes in the electronic health record. Journal of comparative effectiveness research. 2016 Nov;5(6):561-7. DOI: https://doi.org/10.2217/cer-2016-0026
Basch E. Patient-reported outcomes-harnessing patients' voices to improve clinical care. New England Journal of Medicine. 2017;376(2):105-8. DOI: https://doi.org/10.1056/NEJMp1611252
Tao S, Cui L, Wu X, Zhang GQ. Facilitating cohort discovery by enhancing ontology exploration, query management and query sharing for large clinical data repositories. InAMIA Annual Symposium Proceedings 2017 (Vol. 2017, p. 1685). American Medical Informatics Association.
Fleurence RL, Curtis LH, Califf RM, Platt R, Selby JV, Brown JS. Launching PCORnet, a national patient-centered clinical research network. Journal of the American Medical Informatics Association. 2014 Jul 1;21(4):578-82. DOI: https://doi.org/10.1136/amiajnl-2014-002747
Collins FS, Hudson KL, Briggs JP, Lauer MS. PCORnet: turning a dream into reality. Journal of the American Medical Informatics Association. 2014 Jul 1;21(4):576-7. DOI: https://doi.org/10.1136/amiajnl-2014-002864
Porsdam Mann S, Savulescu J, Sahakian BJ. Facilitating the ethical use of health data for the benefit of society: electronic health records, consent and the duty of easy rescue. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2016 Dec 28;374(2083):20160130. DOI: https://doi.org/10.1098/rsta.2016.0130
Meystre SM, Lovis C, Bürkle T, Tognola G, Budrionis A, Lehmann CU. Clinical data reuse or secondary use: current status and potential future progress. Yearbook of medical informatics. 2017 Aug;26(01):38-52. DOI: https://doi.org/10.15265/IY-2017-007
Tao S, Cui L, Wu X, Zhang GQ. Facilitating cohort discovery by enhancing ontology exploration, query management and query sharing for large clinical data repositories. InAMIA Annual Symposium Proceedings 2017 (Vol. 2017, p. 1685). American Medical Informatics Association.
Tang PC, Ash JS, Bates DW, Overhage JM, Sands DZ. Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. Journal of the American Medical Informatics Association. 2006 Mar 1;13(2):121-6. DOI: https://doi.org/10.1197/jamia.M2025
Snyder C, Wu AW. Users’ guide to integrating patient-reported outcomes in electronic health records. Baltimore: John Hopkins University. 2017 Oct 13.
Basch E, Snyder C. Overcoming barriers to integrating patient-reported outcomes in clinical practice and electronic health records. Annals of oncology. 2017 Oct 1;28(10):2332-3. DOI: https://doi.org/10.1093/annonc/mdx506
Chung AE, Basch EM. Incorporating the patient’s voice into electronic health records through patient-reported outcomes as the “review of systems”. Journal of the American Medical Informatics Association. 2015 Jul 1;22(4):914-6. DOI: https://doi.org/10.1093/jamia/ocu007
Wu AW, Jensen RE, Salzberg C, Snyder C. Advances in the use of patient reported outcome measures in electronic health records. InPCORI National Workshop to Advance the Use of PRO Measures in Electronic Health Records 2013 Nov 19.
Patterson ES, Lowry SZ, Ramaiah M, Gibbons MC, Brick D, Calco R, Matton G, Miller A, Makar E, Ferrer JA. Improving clinical workflow in ambulatory care: Implemented recommendations in an innovation prototype for the veteran’s health administration. eGEMs. 2015;3(2). DOI: https://doi.org/10.13063/2327-9214.1149
Zeng X, Reynolds R, Sharp M. Redefining the roles of health information management professionals in health information technology. Perspectives in Health Information Management/AHIMA, American Health Information Management Association. 2009;6(Summer).
Hersh W. The health information technology workforce. Applied clinical informatics. 2010;1(02):197-212. DOI: https://doi.org/10.4338/ACI-2009-11-R-0011
Ingebrigtsen T, Georgiou A, Clay-Williams R, Magrabi F, Hordern A, Prgomet M, Li J, Westbrook J, Braithwaite J. The impact of clinical leadership on health information technology adoption: systematic review. International journal of medical informatics. 2014 Jun 1;83(6):393-405. DOI: https://doi.org/10.1016/j.ijmedinf.2014.02.005
Published
How to Cite
Issue
Section
Copyright (c) 2018 International journal of health sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.