Title :

Process assessment by automated computation of healthcare quality indicators in hospital electronic health records: a systematic review of indicators

Author(s) :

Chazard, Emmanuel [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Babaousmail, Djaber [Auteur]
Schaffar, Aurelien [Auteur]
Ficheur, Gregoire [Auteur]
Beuscart, Regis [Auteur]

Journal title :

Studies in health technology and informatics

Abbreviated title :

Stud Health Technol Inform

Volume number :

210

Pages :

867-71

Publication date :

2015-01-01

ISSN :

0926-9630

English keyword(s) :

Process Assessment
Quality Indicators
Electronic Health Records
Data reuse
Guideline Adherence

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

The objective of the work is to extract healthcare process quality indicators from the literature, and to evaluate which of them could be automatically computed using routinely collected data from electronic health records ...
Show more >The objective of the work is to extract healthcare process quality indicators from the literature, and to evaluate which of them could be automatically computed using routinely collected data from electronic health records (EHRs). A minimal set of data commonly available in EHRs is first defined. The initial bibliographic query enables to identify 8,744 papers, among which 126 papers describe 440 process indicators. 22.3% of indicators can be automatically computed. The computation of the indicators mostly require diagnoses (99%), drug prescriptions (59%), medical procedures (48%), administrative data (30%), laboratory results (20%), free-text reports with basic keyword research (19%), linkage with the patient's previous stays (11%) and dependence assessment (3%). 77.7% of indicators cannot be automatically computed, mostly because they require a linkage with outpatient data (61%), structured data that are usually not available (43%), unstructured data (26%) or the trace of an information that was given to the patient (8%).Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

CHU Lille
Université de Lille

Collections :

• METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Submission date :

2019-12-09T18:20:08Z