Physicians' Perceptions on the usefulness of contextual information for prioritizing and presenting alerts in computerized physician order entry systems

Jung, Martin; Riedmann, Daniel; Hackl, Werner O.; Hoerbst, Alexander; Jaspers, Monique W. M.; Ferret, Laurie; Lawton, Kitta; Ammenwerth, Elske

doi:10.1186/1472-6947-12-111

Cited by 23 publications

(27 citation statements)

References 23 publications

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“…Too many false positive signals cause physicians to become tired of reacting to those signals. This phenomenon following overalerting is commonly known as alert fatigue [30][31][32].…”

Section: Increasing Specificity To Overcome Alert Fatiguementioning

confidence: 99%

E‐pharmacovigilance: development and implementation of a computable knowledge base to identify adverse drug reactions

Neubert

Dormann²,

Prokosch

et al. 2013

Brit J Clinical Pharma

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AIMSComputer-assisted signal generation is an important issue for the prevention of adverse drug reactions (ADRs). However, due to poor standardization of patients' medical data and a lack of computable medical drug knowledge the specificity of computerized decision support systems for early ADR detection is too low and thus those systems are not yet implemented in daily clinical practice. We report on a method to formalize knowledge about ADRs based on the Summary of Product Characteristics (SmPCs) and linking them with structured patient data to generate safety signals automatically and with high sensitivity and specificity. METHODSA computable ADR knowledge base (ADR-KB) that inherently contains standardized concepts for ADRs (WHO-ART), drugs (ATC) and laboratory test results (LOINC) was built. The system was evaluated in study populations of paediatric and internal medicine inpatients. RESULTSA total of 262 different ADR concepts related to laboratory findings were linked to 212 LOINC terms. The ADR knowledge base was retrospectively applied to a study population of 970 admissions (474 internal and 496 paediatric patients), who underwent intensive ADR surveillance. The specificity increased from 7% without ADR-KB up to 73% in internal patients and from 19.6% up to 91% in paediatric inpatients, respectively. CONCLUSIONSThis study shows that contextual linkage of patients' medication data with laboratory test results is a useful and reasonable instrument for computer-assisted ADR detection and a valuable step towards a systematic drug safety process. The system enables automated detection of ADRs during clinical practice with a quality close to intensive chart review.

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“…Too many false positive signals cause physicians to become tired of reacting to those signals. This phenomenon following overalerting is commonly known as alert fatigue [30][31][32].…”

Section: Increasing Specificity To Overcome Alert Fatiguementioning

confidence: 99%

E‐pharmacovigilance: development and implementation of a computable knowledge base to identify adverse drug reactions

Neubert

Dormann²,

Prokosch

et al. 2013

Brit J Clinical Pharma

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“…The need for increased use of contextually aware filtering has been discussed repeatedly in previous research, and our efforts addressed these calls by including this technique in 6 of the 17 modified alerts. 7,9,14,[25][26][27] As previously…”

Section: Discussionmentioning

confidence: 90%

Optimizing Drug-Drug Interaction Alerts Using a Multidimensional Approach

Daniels¹,

Burlison²,

Baker

et al. 2019

Pediatrics

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OBJECTIVES: Excessive alerts are a common concern associated with clinical decision support systems that monitor drug-drug interactions (DDIs). To reduce the number of low-value interruptive DDI alerts at our hospital, we implemented an iterative, multidimensional quality improvement effort, which included an interdisciplinary advisory group, alert metrics, and measurement of perceived clinical value.

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“…Special attention was paid to the European research papers and studies in the field of information technology (IT) adoption,21 quality evaluation22 – 27 and usability28 – 30 of the ambulatory EHR systems. Trying to assess the situation and the specifics of Croatian health system, we analysed the significant results of research on the health information system in the Republic of Croatia 3 , 4 , 31 – 37.…”

Section: Methodsmentioning

confidence: 99%

Development of the quality assessment model of EHR software in family medicine practices: research based on user satisfaction

Kralj¹,

Kern

Tonković

et al. 2015

jhi

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Background Family medicine practices (FMPs) make the basis for the Croatian health care system. Use of electronic health record (EHR) software is mandatory and it plays an important role in running these practices, but important functional features still remain uneven and largely left to the will of the software developers. Objective The objective of this study was to develop a novel and comprehensive model for functional evaluation of the EHR software in FMPs, based on current world standards, models and projects, as well as on actual user satisfaction and requirements. Methods Based on previous theoretical and experimental research in this area, we made the initial framework model consisting of six basic categories as a base for online survey questionnaire. Family doctors assessed perceived software quality by using a five-point Likert-type scale. Using exploratory factor analysis and appropriate statistical methods over the collected data, the final optimal structure of the novel model was formed. Special attention was focused on the validity and quality of the novel model. Results The online survey collected a total of 384 cases. The obtained results indicate both the quality of the assessed software and the quality in use of the novel model. The intense ergonomic orientation of the novel measurement model was particularly emphasised. Conclusions The resulting novel model is multiple validated, comprehensive and universal. It could be used to assess the user-perceived quality of almost all forms of the ambulatory EHR software and therefore useful to all stakeholders in this area of the health care informatisation.

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Physicians' Perceptions on the usefulness of contextual information for prioritizing and presenting alerts in computerized physician order entry systems

Cited by 23 publications

References 23 publications

E‐pharmacovigilance: development and implementation of a computable knowledge base to identify adverse drug reactions

E‐pharmacovigilance: development and implementation of a computable knowledge base to identify adverse drug reactions

Optimizing Drug-Drug Interaction Alerts Using a Multidimensional Approach

Development of the quality assessment model of EHR software in family medicine practices: research based on user satisfaction

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