Open AccessAutomated data extraction—A feasible way to construct patient registers of primary care utilization
Author(s) -
Mats Martinell,
Jan Stålhammar,
Johan Hallqvist
Publication year - 2012
Publication title -
upsala journal of medical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 41
eISSN - 2000-1967
pISSN - 0300-9734
DOI - 10.3109/03009734.2011.653015
Subject(s) - medicine , construct (python library) , extraction (chemistry) , data extraction , primary care , primary health care , medline , family medicine , chromatography , programming language , environmental health , computer science , political science , law , population , chemistry
Electronic medical records (EMRs) enable analysis of health care data by using data mining techniques to build research databases. Though the reliability of the data extraction process is crucial for the credibility of the final analysis, there are few published validations of this process. In this paper we validate the performance of an automated data mining tool on EMR in a primary care setting.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom