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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Personalized healthcare, which uses individual characteristics to better predict and prevent disease and customize therapies, is a potential solution to our current healthcare crisis. Personalized care aims to improve quality of care and reduce overall healthcare costs. Despite its potential, adoption of personalized healthcare has been slow for several reasons, one of which is related to financial incentives toward change. This perspective piece discusses how the Affordable Care Act (ACA), through support for preventive care and comparative effectiveness research, begins to align the right incentives toward innovation around personalized risk prediction, innovation that is much needed as we aim to improve the health of individuals and communities.
Download full-text PDF |
Source |
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http://dx.doi.org/10.2217/pme.14.78 | DOI Listing |
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