2003
DOI: 10.1197/jamia.m1074
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Detecting Adverse Events Using Information Technology

Abstract: Computerized detection of adverse events will soon be practical on a widespread basis.

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Cited by 371 publications
(275 citation statements)
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References 61 publications
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“…Many heart failure outcomes studies measure mental health status using diagnoses and procedure (ICD-9) codes 290-319 (11,15,16). However, ICD-9 data are created for billing purposes and have a potential for selection bias, such as trend towards higher-paying diagnoses (17) and inaccuracies related to the procedure for creating the coding structure. (18).…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…Many heart failure outcomes studies measure mental health status using diagnoses and procedure (ICD-9) codes 290-319 (11,15,16). However, ICD-9 data are created for billing purposes and have a potential for selection bias, such as trend towards higher-paying diagnoses (17) and inaccuracies related to the procedure for creating the coding structure. (18).…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…Such incidents can result in the loss of company/organisational reputation and customer confidence, legal issues, a loss of productivity and direct financial losses [6]. The focus in Healthcare lessons learned and information exchange has been on safety [7][8][9][10][11][12][13] rather than security [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Bates and co-workers [30] review the methodologies that use IT to detect adverse events in healthcare settings and studies that use these techniques. These tools include the collection of clinical data in electronic form, event monitoring and natural language processing.…”
Section: Detection Of Adverse Drug Events Using Information Technologymentioning
confidence: 99%