TY - GEN
T1 - CHARACTERIZING MEDICAL ANDROID APPS
AU - Samuel, Raina
AU - Neamtiu, Iulian
AU - Rahaman, Sydur
AU - Geller, James
N1 - Publisher Copyright:
© 2022 15th International Conference on ICT, Society and Human Beings, ICT 2022, 19th International Conference on Web Based Communities and Social Media, WBC 2022 and 14th International Conference on e-Health, EH 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022. All rights reserved.
PY - 2022
Y1 - 2022
N2 - There is a proliferation of medical mobile apps: Google Play alone has thousands of apps in the “Medical” category. Many such apps perform critical tasks (e.g., are used with a medical device or in lieu of a device); handle sensitive patient related information; perform diagnosis; or treat diseases. However, there are wide gaps between an app’s claims and users’ expectations as well as between app implementations and regulatory frameworks’ mandates. We perform the first study, based on analyzing more than 4,000 Android apps, that characterizes medical apps. We begin by introducing an automated classification scheme that integrates textual information extracted from multiple sources to establish the purpose and target audience for an app, based on fine-grained traits and high-level categories; we found that the most common functionalities involved connecting to medical devices (e.g., hearing aids, glucometers), offering tele-health services, or patient management. We then dive deeper into app nature and characterize according to the function and domain of the app. We reveal actionable findings found in various facets of medical applications, regulatory frameworks and user privacy and safety.
AB - There is a proliferation of medical mobile apps: Google Play alone has thousands of apps in the “Medical” category. Many such apps perform critical tasks (e.g., are used with a medical device or in lieu of a device); handle sensitive patient related information; perform diagnosis; or treat diseases. However, there are wide gaps between an app’s claims and users’ expectations as well as between app implementations and regulatory frameworks’ mandates. We perform the first study, based on analyzing more than 4,000 Android apps, that characterizes medical apps. We begin by introducing an automated classification scheme that integrates textual information extracted from multiple sources to establish the purpose and target audience for an app, based on fine-grained traits and high-level categories; we found that the most common functionalities involved connecting to medical devices (e.g., hearing aids, glucometers), offering tele-health services, or patient management. We then dive deeper into app nature and characterize according to the function and domain of the app. We reveal actionable findings found in various facets of medical applications, regulatory frameworks and user privacy and safety.
KW - Android
KW - Characterization
KW - Health Informatics
KW - Mobile Computing
KW - Mobile Health Applications
UR - http://www.scopus.com/inward/record.url?scp=85142295002&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142295002&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85142295002
T3 - 15th International Conference on ICT, Society and Human Beings, ICT 2022, 19th International Conference on Web Based Communities and Social Media, WBC 2022 and 14th International Conference on e-Health, EH 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022
SP - 155
EP - 162
BT - 15th International Conference on ICT, Society and Human Beings, ICT 2022, 19th International Conference on Web Based Communities and Social Media, WBC 2022 and 14th International Conference on e-Health, EH 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022
PB - IADIS Press
T2 - 15th International Conference on ICT, Society and Human Beings, ICT 2022, 19th International Conference on Web Based Communities and Social Media, WBC 2022 and 14th International Conference on e-Health, EH 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022
Y2 - 19 July 2022 through 22 July 2022
ER -