Improving Clinic Operational Efficiency and Utilization with RTLS

Bjorn Berg, Grant Longley, Jordan M Dunitz

Research output: Contribution to journalArticle

Abstract

New sources of operational data are leading to novel healthcare delivery system design and opportunities to support operational planning and decision-making. Technologies such as real time locating systems (RTLS) provide a unique view and understanding of how healthcare delivery settings behave and respond to operational design changes. In this paper RTLS data from an outpatient clinical setting is leveraged to identify the appropriate number of scheduled providers in order to improve the utilization of the clinical space while balancing the negative effects of clinic congestion. The approaches presented pair historical utilization rates for the clinical space with scheduled provider and patient volumes to support scheduling decisions in an operationally flexible clinic design. These historical data are augmented with clinic staff observation logs to identify target utilization rates as well as high congestion levels. Results are presented for two approaches: one where utilization of clinical space is a key performance metric and another where the decision-maker may be risk averse toward the use of provider time and use a probabilistic approach to determine provider staffing levels.

Original languageEnglish (US)
Article number56
JournalJournal of Medical Systems
Volume43
Issue number3
DOIs
StatePublished - Mar 1 2019

Fingerprint

Computer Systems
Delivery of Health Care
Information Storage and Retrieval
Decision making
Systems analysis
Scheduling
Planning
Decision Making
Outpatients
Observation
Technology

Keywords

  • Operations research
  • Outpatient clinic
  • Provider scheduling
  • RTLS

PubMed: MeSH publication types

  • Journal Article

Cite this

Improving Clinic Operational Efficiency and Utilization with RTLS. / Berg, Bjorn; Longley, Grant; Dunitz, Jordan M.

In: Journal of Medical Systems, Vol. 43, No. 3, 56, 01.03.2019.

Research output: Contribution to journalArticle

@article{b5c0c2335c53451fa24c68b03989fb56,
title = "Improving Clinic Operational Efficiency and Utilization with RTLS",
abstract = "New sources of operational data are leading to novel healthcare delivery system design and opportunities to support operational planning and decision-making. Technologies such as real time locating systems (RTLS) provide a unique view and understanding of how healthcare delivery settings behave and respond to operational design changes. In this paper RTLS data from an outpatient clinical setting is leveraged to identify the appropriate number of scheduled providers in order to improve the utilization of the clinical space while balancing the negative effects of clinic congestion. The approaches presented pair historical utilization rates for the clinical space with scheduled provider and patient volumes to support scheduling decisions in an operationally flexible clinic design. These historical data are augmented with clinic staff observation logs to identify target utilization rates as well as high congestion levels. Results are presented for two approaches: one where utilization of clinical space is a key performance metric and another where the decision-maker may be risk averse toward the use of provider time and use a probabilistic approach to determine provider staffing levels.",
keywords = "Operations research, Outpatient clinic, Provider scheduling, RTLS",
author = "Bjorn Berg and Grant Longley and Dunitz, {Jordan M}",
year = "2019",
month = "3",
day = "1",
doi = "10.1007/s10916-019-1174-z",
language = "English (US)",
volume = "43",
journal = "Journal of Medical Systems",
issn = "0148-5598",
publisher = "Springer New York",
number = "3",

}

TY - JOUR

T1 - Improving Clinic Operational Efficiency and Utilization with RTLS

AU - Berg, Bjorn

AU - Longley, Grant

AU - Dunitz, Jordan M

PY - 2019/3/1

Y1 - 2019/3/1

N2 - New sources of operational data are leading to novel healthcare delivery system design and opportunities to support operational planning and decision-making. Technologies such as real time locating systems (RTLS) provide a unique view and understanding of how healthcare delivery settings behave and respond to operational design changes. In this paper RTLS data from an outpatient clinical setting is leveraged to identify the appropriate number of scheduled providers in order to improve the utilization of the clinical space while balancing the negative effects of clinic congestion. The approaches presented pair historical utilization rates for the clinical space with scheduled provider and patient volumes to support scheduling decisions in an operationally flexible clinic design. These historical data are augmented with clinic staff observation logs to identify target utilization rates as well as high congestion levels. Results are presented for two approaches: one where utilization of clinical space is a key performance metric and another where the decision-maker may be risk averse toward the use of provider time and use a probabilistic approach to determine provider staffing levels.

AB - New sources of operational data are leading to novel healthcare delivery system design and opportunities to support operational planning and decision-making. Technologies such as real time locating systems (RTLS) provide a unique view and understanding of how healthcare delivery settings behave and respond to operational design changes. In this paper RTLS data from an outpatient clinical setting is leveraged to identify the appropriate number of scheduled providers in order to improve the utilization of the clinical space while balancing the negative effects of clinic congestion. The approaches presented pair historical utilization rates for the clinical space with scheduled provider and patient volumes to support scheduling decisions in an operationally flexible clinic design. These historical data are augmented with clinic staff observation logs to identify target utilization rates as well as high congestion levels. Results are presented for two approaches: one where utilization of clinical space is a key performance metric and another where the decision-maker may be risk averse toward the use of provider time and use a probabilistic approach to determine provider staffing levels.

KW - Operations research

KW - Outpatient clinic

KW - Provider scheduling

KW - RTLS

UR - http://www.scopus.com/inward/record.url?scp=85060936371&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060936371&partnerID=8YFLogxK

U2 - 10.1007/s10916-019-1174-z

DO - 10.1007/s10916-019-1174-z

M3 - Article

VL - 43

JO - Journal of Medical Systems

JF - Journal of Medical Systems

SN - 0148-5598

IS - 3

M1 - 56

ER -