dc.contributor.author | Muzny, Miroslav | |
dc.contributor.author | Henriksen, André | |
dc.contributor.author | Giordanengo, Alain | |
dc.contributor.author | Mužík, Jan | |
dc.contributor.author | Grøttland, Astrid | |
dc.contributor.author | Blixgård, Håvard Kvalvåg | |
dc.contributor.author | Hartvigsen, Gunnar | |
dc.contributor.author | Årsand, Eirik | |
dc.date.accessioned | 2019-11-04T08:05:29Z | |
dc.date.available | 2019-11-04T08:05:29Z | |
dc.date.issued | 2019-10-31 | |
dc.description.abstract | <i>Background</i> - Wearable devices with an ability to collect various type of physiological data are increasingly becoming
seamlessly integrated into everyday life of people. In the area of electronic health (eHealth), many of
these devices provide remote transfer of health data, as a result of the increasing need for ambulatory
monitoring of patients. This has a potential to reduce the cost of care due to prevention and early
detection.<p>
<p><i>Objective</i> - The objective of this study was to provide an overview of available wearable sensor systems with data
exchange possibilities. Due to the heterogeneous capabilities these systems possess today, we aimed to
systematize this in terms of usage, where there is a need of, or users benefit from, transferring self‐
collected data to health care actors. <p>
<p><i>Methods</i> - We searched for and reviewed relevant sensor systems (i.e., devices) and mapped these into 13 selected
attributes related to data‐exchange capabilities. We collected data from the Vandrico database of
wearable devices, and complemented the information with an additional internet search. We classified
the following attributes of devices: type, communication interfaces, data protocols, smartphone/PC
integration, connection to smartphone health platforms, 3rd party integration with health platforms,
connection to health care system/middleware, type of gathered health data, integrated sensors, medical
device certification, access to user data, developer‐access to device, and market status. Devices from
the same manufacturer with similar functionalities/characteristics were identified under the same
device family. Furthermore, we classified the systems in three subgroups of relevance for different
actors in mobile health monitoring systems: EHR providers, software developers, and patient users.<p>
<p><i>Results</i> - We identified 362 different mobile health monitoring devices belonging to 193 device families. Based on
an analysis of these systems, we identified the following general challenges:<p>
<ul>
<li>Few systems have a Conformité Européene (CE) marking class II or above, or approval from the
US Food and Drug Administration (FDA)</li>
<li>Few systems use the standardized Bluetooth Low Energy GATT profile for wireless transfer of
health data</li>
<li>Few systems support health middleware</li>
<li>Approximately 30% of the device families provide the user access to the source data. However,
only 16% allow the transfer of data through direct communication with the device (i.e., without
using a proprietary cloud‐based service)</li></ul><p>
<p><i>Conclusions</i> - Few of the identified mobile health monitoring systems use standardized, open communication
protocols, which would allow the user to directly acquire sensor data. Use of open protocols can provide
mobile health (mHealth) application developers an alternative to proprietary cloud services and
communication tools, which are often closely integrated with the devices. Emerging new types of
sensors, often intended for everyday use, have a potential to supplement health records systems with
data that can enrich patient care. | en_US |
dc.description | Accepted manuscript. Final version published in <i>International Journal of Medical Informatics</i> is available at <a href=https://doi.org/10.1016/j.ijmedinf.2019.104017>https://doi.org/10.1016/j.ijmedinf.2019.104017. </a> | en_US |
dc.identifier.citation | Muzny, M., Henriksen, A., Giordanengo, A., Mužík, J., Grøttland, A., Blixgård, H. ... Årsand, E. (2019). Wearable Sensors with Possibilities for Data Exchange: Analyzing Statusand Needs of Different Actors in Mobile Health Monitoring Systems. <i>International Journal of Medical Informatics</i>, 104017. https://doi.org/10.1016/j.ijmedinf.2019.104017 | en_US |
dc.identifier.cristinID | FRIDAID 1742916 | |
dc.identifier.doi | 10.1016/j.ijmedinf.2019.104017 | |
dc.identifier.issn | 1386-5056 | |
dc.identifier.issn | 1872-8243 | |
dc.identifier.uri | https://hdl.handle.net/10037/16577 | |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Final version of this paper is part of:<p>
Giordanengo, A. (2020). Using FullFlow to manage the overwhelming flood of patients’ self-collected health data: A system that addresses acceptance barriers regarding the introduction of diabetes patients’ self-collected health data into electronic health records and medical consultations. (Doctoral thesis). <a href=https://hdl.handle.net/10037/17842>https://hdl.handle.net/10037/17842. </a> | |
dc.relation.journal | International Journal of Medical Informatics | |
dc.rights.accessRights | openAccess | en_US |
dc.subject | VDP::Technology: 500::Medical technology: 620 | en_US |
dc.subject | VDP::Teknologi: 500::Medisinsk teknologi: 620 | en_US |
dc.title | Wearable Sensors with Possibilities for Data Exchange: Analyzing Statusand Needs of Different Actors in Mobile Health Monitoring Systems | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |