Validation of a novel Artificial Pharmacology Intelligence (API) system for the management of patients with polypharmacy.

Journal: Research in social & administrative pharmacy : RSAP

PMID: 38637208

Abstract

OBJECTIVE: Medication management of patients with polypharmacy is highly complex. We aimed to validate a novel Artificial Pharmacology Intelligence (API) algorithm to optimize the medication review process in a comprehensive, personalized, and scalable way.

Authors

Dorit Dil-Nahlieli

Department of Research and Development, MDI Health Technologies, Ramat Gan, Israel. Electronic address: Dorit@mdihealth.com.
Arie Ben-Yehuda

Department of Medicine, Hadassah Medical Center Faculty of Medicine, Hebrew University, Jerusalem, Israel.
Daniel Souroujon

K Health, New York, NY.
Eytan Hyam

Department of Research and Development, MDI Health Technologies, Ramat Gan, Israel.
Sigal Shafran-Tikvah

Nursing Division, Hadassah University Medical Center & Jerusalem College of Technology, Jerusalem, Israel.

Keywords

Aged Aged, 80 and over Algorithms Artificial Intelligence Drug-Related Side Effects and Adverse Reactions Electronic Health Records Female Humans Male Middle Aged Pharmacists Polypharmacy Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (38637208)

Validation of a novel Artificial Pharmacology Intelligence (API) system for the management of patients with polypharmacy.

Abstract

Authors

Keywords

External Resources

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