Designing human-centered AI to prevent medication dispensing errors: focus group study with pharmacists. | PSNet

Provide Feedback |

Register

Study

Designing human-centered AI to prevent medication dispensing errors: focus group study with pharmacists.

March 20, 2024

Zheng Y, Rowell B, Chen Q, et al. JMIR Form Res. 2023;7:e51921.

View more articles from the same authors.

Pharmacists play an essential role in ensuring the correct medications are ordered and dispensed. Based on feedback from focus groups conducted with pharmacists, this article describes the development of a human-centered artificial intelligence (AI) prototype to improve medication dispensing and verification.

PubMed citation

Related Resources From the Same Author(s)

Comparing the variability of ingredient, strength, and dose form information from electronic prescriptions with RxNorm drug product descriptions.

August 31, 2022

Work effort, readability and quality of pharmacy transcription of patient directions from electronic prescriptions: a retrospective observational cohort analysis.

March 31, 2021

Effectiveness of N95 respirators versus surgical masks against influenza: a systematic review and meta-analysis.

April 29, 2020

Impact of team performance on the surgical safety checklist on patient outcomes: an operating room black box analysis.

October 16, 2024

Failure to administer recommended chemotherapy: acceptable variation or cancer care quality blind spot?

September 18, 2019

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine.

August 28, 2024

The impact of pharmacists-led medicines reconciliation on healthcare outcomes in secondary care: a systematic review and meta-analysis of randomized controlled trials.

July 11, 2018

Evaluation of drug utilization and prescribing errors in infants: a primary care prescription-based study.

September 9, 2011

Impact of an intensivist-led multidisciplinary extended rapid response team on hospital-wide cardiopulmonary arrests and mortality.

February 1, 2013

Twelve-month review of infusion pump near-miss medication and dose selection errors and user-initiated "good save" corrections: retrospective study.

November 4, 2020

View More

Related Resources

Large language models for preventing medication direction errors in online pharmacies.

June 5, 2024

Dispensing error rates in pharmacy: a systematic review and meta-analysis.

March 13, 2024

A multi-method exploratory evaluation of a service designed to improve medication safety for patients with monitored dosage systems following hospital discharge.

October 25, 2023

The state of health, burnout, healthy behaviors, workplace wellness support, and concerns of medication errors in pharmacists during the COVID-19 pandemic.

August 23, 2023

Risk Evaluation and Mitigation Strategy (REMS) Programs and Medication Safety: Parts I and II.

August 9, 2023

Journal Article

Study

Patient Safety Innovations

Predicting dispensing errors in community pharmacies: an application of the Systematic Human Error Reduction and Prediction Approach (SHERPA).

November 16, 2022

Including the reason for use on prescriptions sent to pharmacists: scoping review.

January 26, 2022

Wrong drug and wrong dose dispensing errors identified in pharmacist professional liability claims.

November 4, 2020

ISMP medication error report analysis.

June 16, 2019

Accuracy of computer-generated, Spanish-language medicine labels.

May 4, 2010

View More

See More About The Topic

Outpatient Pharmacy

Hospital Pharmacy

Community Pharmacy

Dispensing Errors

To sign up for updates or to access your subscriber preferences, please enter your email address below.

5600 Fishers Lane
Rockville, MD 20857
Telephone: (301) 427-1364