Improving medication-related clinical decision support

CL Tolley, SP Slight, AK Husband… - The Bulletin of the …, 2018 - academic.oup.com
Purpose Current uses of medication-related clinical decision support (CDS) and
recommendations for improving these systems are reviewed. Summary Using a systematic …

[HTML][HTML] Supporting information retrieval from electronic health records: a report of University of Michigan's nine-year experience in developing and using the …

DA Hanauer, Q Mei, J Law, R Khanna… - Journal of biomedical …, 2015 - Elsevier
Objective This paper describes the University of Michigan's nine-year experience in
developing and using a full-text search engine designed to facilitate information retrieval (IR) …

Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA

B Middleton, M Bloomrosen, MA Dente… - Journal of the …, 2013 - academic.oup.com
In response to mounting evidence that use of electronic medical record systems may cause
unintended consequences, and even patient harm, the AMIA Board of Directors convened a …

Computerized provider order entry–related medication errors among hospitalized patients: An integrative review

M Elshayib, L Pawola - Health Informatics Journal, 2020 - journals.sagepub.com
The Institute of Medicine estimates that 7,000 lives are lost yearly as a result of medication
errors. Computerized physician and/or provider order entry was one of the proposed …

[HTML][HTML] Automated misspelling detection and correction in clinical free-text records

KH Lai, M Topaz, FR Goss, L Zhou - Journal of biomedical informatics, 2015 - Elsevier
Accurate electronic health records are important for clinical care and research as well as
ensuring patient safety. It is crucial for misspelled words to be corrected in order to ensure …

Creating a common data model for comparative effectiveness with the observational medical outcomes partnership

F FitzHenry, FS Resnic, SL Robbins… - Applied clinical …, 2015 - thieme-connect.com
Background: Adoption of a common data model across health systems is a key infrastructure
requirement to allow large scale distributed comparative effectiveness analyses. There are a …

[HTML][HTML] Hybrid deep learning for medication-related information extraction from clinical texts in French: MedExt algorithm development study

J Jouffroy, SF Feldman, I Lerner, B Rance… - JMIR medical …, 2021 - medinform.jmir.org
Background Information related to patient medication is crucial for health care; however, up
to 80% of the information resides solely in unstructured text. Manual extraction is difficult and …

Text mining of the electronic health record: an information extraction approach for automated identification and subphenotyping of HFpEF patients for clinical trials

SR Jonnalagadda, AK Adupa, RP Garg… - Journal of …, 2017 - Springer
Precision medicine requires clinical trials that are able to efficiently enroll subtypes of
patients in whom targeted therapies can be tested. To reduce the large amount of time spent …

[HTML][HTML] Electronic health record (EHR) abstraction

AA Alzu'bi, VJM Watzlaf, P Sheridan - Perspectives in health …, 2021 - ncbi.nlm.nih.gov
The purpose of electronic health record (EHR) abstraction includes collection of data related
to administrative coding functions, quality improvement, clinical registry functions and …

An end-to-end hybrid algorithm for automated medication discrepancy detection

Q Li, SA Spooner, M Kaiser, N Lingren… - BMC medical informatics …, 2015 - Springer
Background In this study we implemented and developed state-of-the-art machine learning
(ML) and natural language processing (NLP) technologies and built a computerized …