Literature DB >> 22129942

Measuring process change in primary care using real-time location systems: feasibility and the results of a natural experiment.

James E Stahl1, Mark A Drew, Donna Leone, Rosemary S Crowley.   

Abstract

INTRODUCTION: Objectively measuring the effect of primary care process interventions is very challenging. Real time location systems (RTLS) hold the potential to solve this problem.
METHODS: An outpatient clinic was outfitted with a RTLS based on active-RFID (radiofrequency identification). Staff and patients volunteered to wear RFID transponders which unobtrusively recorded time and location. Wearers were identified only by their role: Patient, MA, RN, MD. The clinical process intervention consisted of reorganizing how medical assistants were utilized from a ad hoc common pool of medical assistants to dedicated assignment of medical assistants. Process measures were recorded before, during and after the intervention.
RESULTS: 230 unique patient encounters were recorded from October 2009-January 2010. Eight MDs, 7 MA and 6 RNs participated. Total flow time was significantly decreased while waiting room time was increased. Variance was significantly reduced for both total flow time and face time. In-room wait time and patient face time were decreased, though this did not reach statistical significance.
CONCLUSION: Objectively measuring process change in primary care is feasible using RTLS. In this case the intervention resulted in the waiting room being used more effectively as a process buffer smoothing flow and potentially increasing clinic capacity.

Entities:  

Mesh:

Year:  2011        PMID: 22129942     DOI: 10.3233/THC-2011-0638

Source DB:  PubMed          Journal:  Technol Health Care        ISSN: 0928-7329            Impact factor:   1.285


  5 in total

1.  The Impact of a Location-Sensing Electronic Health Record on Clinician Efficiency and Accuracy: A Pilot Simulation Study.

Authors:  Kevin King; John Quarles; Vaishnavi Ravi; Tanvir Irfan Chowdhury; Donia Friday; Craig Sisson; Yusheng Feng
Journal:  Appl Clin Inform       Date:  2018-11-21       Impact factor: 2.342

2.  Measuring impact of a quality improvement initiative on glaucoma clinic flow using an automated real-time locating system.

Authors:  John A Musser; Juno Cho; Amy Cohn; Leslie M Niziol; Dena Ballouz; David T Burke; Paula Anne Newman-Casey
Journal:  BMC Ophthalmol       Date:  2022-06-28       Impact factor: 2.086

3.  Analysis of the effects of EHR implementation on timeliness of care in a dermatology clinic: a simulation study.

Authors:  Vahab Vahdat; Jacqueline A Griffin; James E Stahl; F Clarissa Yang
Journal:  J Am Med Inform Assoc       Date:  2018-07-01       Impact factor: 4.497

Review 4.  Real-time locating systems to improve healthcare delivery: A systematic review.

Authors:  Kevin M Overmann; Danny T Y Wu; Catherine T Xu; Shwetha S Bindhu; Lindsey Barrick
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

Review 5.  Real-time locating systems (RTLS) in healthcare: a condensed primer.

Authors:  Maged N Kamel Boulos; Geoff Berry
Journal:  Int J Health Geogr       Date:  2012-06-28       Impact factor: 3.918

  5 in total

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