Title |
Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence
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Published in |
BMC Medical Informatics and Decision Making, March 2013
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DOI | 10.1186/1472-6947-13-37 |
Pubmed ID | |
Authors |
Felix Köpcke, Benjamin Trinczek, Raphael W Majeed, Björn Schreiweis, Joachim Wenk, Thomas Leusch, Thomas Ganslandt, Christian Ohmann, Björn Bergh, Rainer Röhrig, Martin Dugas, Hans-Ulrich Prokosch |
Abstract |
Computerized clinical trial recruitment support is one promising field for the application of routine care data for clinical research. The primary task here is to compare the eligibility criteria defined in trial protocols with patient data contained in the electronic health record (EHR). To avoid the implementation of different patient definitions in multi-site trials, all participating research sites should use similar patient data from the EHR. Knowledge of the EHR data elements which are commonly available from most EHRs is required to be able to define a common set of criteria. The objective of this research is to determine for five tertiary care providers the extent of available data compared with the eligibility criteria of randomly selected clinical trials. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 50% |
United States | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Brazil | 2 | 1% |
Malaysia | 1 | <1% |
Nigeria | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 179 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 40 | 22% |
Student > Master | 30 | 16% |
Researcher | 25 | 13% |
Student > Bachelor | 18 | 10% |
Student > Postgraduate | 13 | 7% |
Other | 34 | 18% |
Unknown | 26 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 44 | 24% |
Computer Science | 37 | 20% |
Nursing and Health Professions | 22 | 12% |
Business, Management and Accounting | 10 | 5% |
Social Sciences | 8 | 4% |
Other | 33 | 18% |
Unknown | 32 | 17% |