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
Ladda ner artikel
Ingår i: Proceedings from The 15th Scandinavian Conference on Health Informatics 2017 Kristiansand, Norway, August 29–30, 2017
Linköping Electronic Conference Proceedings 145:7, s. 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.
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