Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3124
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Advancements in the health information technology that brought personal health records to individuals have opened the door to new insights concerning the cues people use to monitor health in their everyday lives. In order to evaluate the impact of capturing, storing, and integrating these observations of daily living (ODLs) into the clinical care process, Project HealthDesign selected five teams to create and analyze mobile health applications with ODLs in mind. These teams targeted underserved, minority populations with at least two chronic conditions. Using third-party platforms for storage, the teams were expected to bring the ODLs into the clinical workflow through the EHR. ODLs were successfully captured, interpreted and displayed; however technical and policy barriers challenge their integration outside of the mobile application. This paper serves as a preliminary, program-level report distinct from the publication of evaluation results from individual teams.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900172 | PMC |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!