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: 3122
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
Improvements of modern mobile technology, have created a need for a mobile clinical environment. In the field of mobile clinical systems, getting information on time is as important as mission critical aspects. However, web access time with the mobile device is still not feasible clinically. Therefore, the optimisation of query response becomes an important issue. We have developed a query optimising method using a user profile. We analysed user (clinician) specific queries in the medical field. Most of the data retrieval in the medical field is focused on the clinical test results, and the patient inverted exclamation mark s demographic information. Sometimes the information requested in the medical field places a heavy load on the database, since such information may require full database scanning and much joining of tables in the databases. In such cases, constructing profile data and employing it for data retrieval would help to improve the response time. The use of a predefined profile avoids the multiple joining process, and shortens the total response time. The object of our research is to improve query response by creating user profiles and using this profile information for patient data retrieval.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1480119 | PMC |
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