2020
DOI: 10.2196/16849
|View full text |Cite
|
Sign up to set email alerts
|

Metrics for Outpatient Portal Use Based on Log File Analysis: Algorithm Development

Abstract: Background Web-based outpatient portals help patients engage in the management of their health by allowing them to access their medical information, schedule appointments, track their medications, and communicate with their physicians and care team members. Initial studies have shown that portal adoption positively affects health outcomes; however, early studies typically relied on survey data. Using data from health portal applications, we conducted systematic assessments of patients’ use of an ou… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
26
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
8
2

Relationship

3
7

Authors

Journals

citations
Cited by 23 publications
(26 citation statements)
references
References 17 publications
0
26
0
Order By: Relevance
“…Currently, the published literature is limited to analysis that is mostly based on patient portal utilization, as defined by MU criteria. More in-depth studies, mirroring the log file analysis conducted by Huerta et al [ 105 ] and, more recently, Di Tosto et al [ 115 ] that included a blueprint of individual patients’ portal actions, would fulfill our endeavor to utilize patient portal data more completely than the literature currently reports routinely. A systematic approach to measurement of portal usage is necessary to more readily draw comparisons across existing and future studies.…”
Section: Discussionmentioning
confidence: 95%
“…Currently, the published literature is limited to analysis that is mostly based on patient portal utilization, as defined by MU criteria. More in-depth studies, mirroring the log file analysis conducted by Huerta et al [ 105 ] and, more recently, Di Tosto et al [ 115 ] that included a blueprint of individual patients’ portal actions, would fulfill our endeavor to utilize patient portal data more completely than the literature currently reports routinely. A systematic approach to measurement of portal usage is necessary to more readily draw comparisons across existing and future studies.…”
Section: Discussionmentioning
confidence: 95%
“…For instance, portal use was associated with improved glycemic control [7]. Studies have assessed outpatient portal (OPP) use by examining number of logins [8] and engagement metrics generated from log file analysis [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…Our estimates for SEs were clustered by patient. We did not define comprehensiveness and composite use at the sessions level, as the recording of function use may be influenced by system idiosyncrasies, such as automatically logging the patient out after 10 minutes of inactivity [19][20][21]. Second, we restricted the analysis to MCB function use to the first admission or the enrollment admission.…”
Section: Discussionmentioning
confidence: 99%