Alain Giordanengo
Department of Computer Science, UiT The Arctic University of Norway, Norway / Norwegian Centre for E-health Research, University Hospital of North Norway (UNN), Tromsø, Norway
Meghan Bradway
Department of Clinical Medicine, UiT The Arctic University of Norway, Norway / Norwegian Centre for E-health Research, University Hospital of North Norway (UNN), Tromsø, Norway
Miroslav Muzny
Norwegian Centre for E-health Research, University Hospital of North Norway (UNN), Tromsø, Norway / Spin-off Company, Research Results Commercialization Center, The First Faculty of Medicine, Charles University in
Prague, Czech Republic
Ashenafi Woldaregay
Spin-off Company, Research Results Commercialization Center, The First Faculty of Medicine, Charles University in
Prague, Czech Republic
Gunnar Hartvigsen
Department of Computer Science, UiT The Arctic University of Norway, Norway / Norwegian Centre for E-health Research, University Hospital of North Norway (UNN), Tromsø, Norway
Eirik Arsand
Department of Clinical Medicine, UiT The Arctic University of Norway, Norway / Norwegian Centre for E-health Research, University Hospital of North Norway (UNN), Tromsø, Norway
Download article
Published in: Proceedings from The 15th Scandinavian Conference on Health Informatics 2017 Kristiansand, Norway, August 29–30, 2017
Linköping Electronic Conference Proceedings 145:7, p. 43-49
This template may be used for articles in journals or conference articles. Differences may occur, of course, and this template is only a guide how it may appear. Patients are being more and more autonomous in their disease management by collecting, viewing and analyzing health data themselves with the support of sensors, wearables and smartphone apps. Self-collected health data can be used by the medical environment to provide more tailored and efficient therapies. This paper presents a state-of-the-art review (per April 2017) on systems integrating self-collected health data by patients into Electronic Health Record (EHR) systems and other medical systems assessable for the clinicians at the point of care.
[1] Bradway, M., Giordanengo, A., Årsand, E. & Grøttland, A. 2017, Co-design Workshop on Integrating patients’ self-collected data into clinical systems: identifying opportunities and challenges for clinicians. Nasjonalt senter for e-helseforskning.
[2] Gay, V. & Leijdekkers, P. 2015, Bringing health and fitness data together for connected health care: Mobile apps as enablers of interoperability. Journal of Medical Internet Research, 17.
[3] Haghi, M., Thurow, K. & Stoll, R. 2017, Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices. Healthcare Informatics Research, 23, 4-15.
[4] Halperin, D., Heydt-Benjamin, T. S., Ransford, B., Clark, S. S., Defend, B., Morgan, W., Fu, K., Kohno, T. & Maisel, W. H. Pacemakers and Implantable Cardiac Defibrillators: Software Radio Attacks and Zero-Power Defenses. 2008 IEEE Symposium on Security and Privacy (sp 2008), 18-22 May 2008 2008. 129-142.
[5] Hordern, V. 2016, Data Protection Compliance in the Age of Digital Health. European Journal of Health Law, 23, 248-264.
[6] Kumar, R. B., Goren, N. D., Stark, D. E., Wall, D. P. & Longhurst, C. A. 2016, Automated integration of continuous glucose monitor data in the electronic health record using consumer technology. Journal of the American Medical Informatics Association : JAMIA, 23, 532-7.
[7] Lamprinos, I., Demski, H., Mantwill, S., Kabak, Y., Hildebrand, C. & Ploessnig, M. 2016, Modular ICTbased patient empowerment framework for selfmanagement of diabetes: Design perspectives and validation results. Int J Med Inform, 91, 31-43.
[8] Leijdekkers, P. & Gay, V. 2015, Improving user engagement by aggregating and analysing health and fitness data on a mobile app. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9102, 325-330.
[9] Mantwills, S., Fiordelli, M., Ludolph, R. & Schulz, P. J. 2015, EMPOWER-support of patient empowerment by an intelligent self-management pathway for patients: study protocol. BMC Med Inform Decis Mak, 15, 18.
[10] MarcegliaA, S., Fontelo, P., Rossi, E. & Ackerman, M. J. 2015, A standards-based architecture proposal for integrating patient mhealth apps to electronic health record systems. Applied Clinical Informatics, 6, 488-505.
[11] Mead, C. N. 2006, Data interchange standards in healthcare IT--computable semantic interoperability: now possible but still difficult, do we really need a better mousetrap? J Healthc Inf Manag, 20, 71-8.
[12] Muzny, M. 2017, Wearable Sensor Systems with Possibilities for Data Exchange. Nasjonalt senter for ehelseforskning.
[13] Norris, S. L., Engelgau, M. M. & Venkat Narayan, K. M. 2001, Effectiveness of Self-Management Training in Type 2 Diabetes. A systematic review of randomized controlled trials, 24, 561-587.
[14] Ouzzani, M., Hammady, H., Fedorowicz, Z. & ElmagarmidL, A. 2016, Rayyan-a web and mobile app for systematic reviews. Syst Rev, 5, 210.
[15] Park, H. S., Cho, H. & Kim, H. S. 2016, Development of a multi-agent M-health application based on various protocols for chronic disease self-management. Journal of Medical Systems, 40.
[16] Peleg, M., Shahar, Y., Quaglini, S., Broens, T., Budasu, R., Fung, N., Fux, A., Garcia-Saez, G., Goldstein, A., Gonzalez-Ferrer, A., Hermens, H., Hernando, M. E., Jones, V., Klebanov, G., Klimov, D., Knoppel, D., Larburu, N., Marcos, C., Martinez-Sarriegul, I., Napolitano, C., Pallas, A., Palomares, A., Parimbelli, E., Pons, B., Rigla, M., Sacchi, L., ShalomH, E., Soffer, P. & Van Schooten, B. 2017, Assessment of a personalized and distributed patient guidance system. Int J Med Inform, 101, 108-130.
[17] Pfiffner, P. B., Pinyol, I., Natter, M. D. & Mandl, K. D. 2016, C3-PRO: Connecting ResearchKit to the health system using i2b2 and FHIR. PLoS ONE, 11. [18] Rubio, O. J., Trigo, J. D., Alesanco, A., Serrano, L. & García, J. 2016, Analysis of ISO/IEEE 11073 built-in security and its potential IHE-based extensibility. Journal of Biomedical Informatics, 60, 270-285.
[19] Song, Y.-T. & Qiu, T. 2016, Standard based personal mobile health record system. ACM IMCOM 2016: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 0.
[20] Tachakra, S., Wang, X. H., Istepanian, R. S. & Song, Y. H. 2003, Mobile e-health: the unwired evolution of telemedicine. Telemed J E Health, 9, 247-57.
[21] Young, D. R., Bauck, A., Go, A. S., Corley, D. A., Morales, L. S., Mcglynn, E. A., Lieu, T. A., Durham, M. L., Laws, R., Chen, J., Feigelson, H. S., Nelson, A. F., Davidson, A. J. & Kahn, M. G. 2014, Developing a data infrastructure for a learning health system: the PORTAL network. Journal of the American Medical Informatics Association : JAMIA, 21, 596-601.
