Clinical Documentation

Assessing the Effects of EHR Optimization Interventions in Primary Care

Description

This research evaluates the adoption and impact of three electronic health record-optimization interventions—scribes, advanced team-based inbox management, and artificial intelligence-assisted messaging support—on primary care physicians' time, wellbeing, and patient outcomes, with the goal of identifying effective strategies to improve physician satisfaction and care quality and to reduce healthcare costs.

Grant Number
R01 HS029470
Principal Investigator(s)
Bates, David
Rotenstein, Lisa

It's like sending a message in a bottle: A qualitative study of the consequences of one-way communication technologies in hospitals.

Citation
Lafferty M, Harrod M, Krein S, Manojlovich M. It's like sending a message in a bottle: A qualitative study of the consequences of one-way communication technologies in hospitals. J Am Med Inform Assoc. 2021 Nov 25;28(12):2601-2607. doi: 10.1093/jamia/ocab191. PMID: 34569593; PMCID: PMC8763228.
Principal Investigator
Manojlovich, Milisa
Project Name
The Effect of Health Information Technology on Healthcare Provider Communication

Health Information Technology and Provider Communication

Description
This is a questionnaire designed to be completed by physicians, nurse practitioners, and physician assistants in a perioperative/operative and hospital setting. The tool includes questions to assess the current state of health information technology including clinical documentation, computerized provider order entry systems, clinical decision support systems, hardware, mobile devices, secure messaging, text messaging, and EHRs/EMR.
Year of Survey
2015

Detecting clinically relevant new information in clinical notes across specialties and settings.

Citation
Zhang R, Pakhomov SVS, Arsoniadis EG, Lee JT, Wang Y, Melton GB. Detecting clinically relevant new information in clinical notes across specialties and settings. BMC Med Inform Decis Mak. 2017 Jul 5;17(Suppl 2):68. doi: 10.1186/s12911-017-0464-y. PMID: 28699564.
Principal Investigator
Melton-Meaux, Genevieve
Project Name
Discovery and Visualization of New Information from Clinical Reports in the Electronic Health Record

Discovery and Visualization of New Information From Clinical Reports in the Electronic Health Record - Final Report

Citation
Melton-Meaux, G. Discovery and Visualization of New Information From Clinical Reports in the Electronic Health Record - Final Report. (Prepared by the University of Minnesota under Grant No. R01 HS022085). Rockville, MD: Agency for Healthcare Research and Quality, 2018.
Principal Investigator
Melton-Meaux, Genevieve
Project Name
Discovery and Visualization of New Information from Clinical Reports in the Electronic Health Record

Assessing documentation of critical imaging result follow-up recommendations in emergency department discharge instructions.

Citation
Gupta A, Lacson R, Balthazar PC, et al. Assessing documentation of critical imaging result follow-up recommendations in emergency department discharge instructions. J Digit Imaging 2017 Dec 12. doi: 10.1007/s10278-017-0039-6. [Epub ahead of print]. PMID: 29234948.
Principal Investigator
Lacson, Ronilda
Project Name
Automated Notification for Followup Testing Recommendations Across Care Settings