z-logo
open-access-imgOpen Access
Remote symptom monitoring integrated into electronic health records: A systematic review
Author(s) -
Julie Gandrup,
Syed Mustafa Ali,
John McBeth,
Sabine N van der Veer,
William G Dixon
Publication year - 2020
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocaa177
Subject(s) - workflow , medicine , medline , electronic data capture , data collection , systematic review , health care , health records , medical emergency , computer science , alternative medicine , database , political science , law , statistics , mathematics , pathology , economics , economic growth
People with long-term conditions require serial clinical assessments. Digital patient-reported symptoms collected between visits can inform these, especially if integrated into electronic health records (EHRs) and clinical workflows. This systematic review identified and summarized EHR-integrated systems to remotely collect patient-reported symptoms and examined their anticipated and realized benefits in long-term conditions.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom