Literature DB >> 21618898

Using real-time demand capacity management to improve hospitalwide patient flow.

Roger Resar1, Kevin Nolan, Deborah Kaczynski, Kirk Jensen.   

Abstract

BACKGROUND: The Joint Commission's accreditation standard on managing patient flow, effective January 2005, served as a call to action for hospitals, yet many hospitals still lack the processes and structures to admit or transfer patients to an inpatient bed on a timely basis. In 2007 the University of Pittsburgh Medical Center (UPMC) at Shadyside, a 526-bed tertiary care hospital, began testing and implementing real-time demand capacity management (RTDC) at an initial pilot site. The hospital had identified improved patient flow as a strategic goal in 2002, but a series of patient flow projects failed to result in improvement. IMPLEMENTING RTDC: Standard processes for the four RTDC steps-Predicting Capacity, Predicting Demand, Developing a Plan, and Evaluating a Plan--and standard structures for unit bed huddles and the hospital bed meetings were developed. The neurosurgery (NS) service line's ICU and stepdown unit were designated as the first pilot sites, but work was quickly spread to other units.
RESULTS: Improvements were achieved and have been sustained through early 2011 for all measures, including (1) the unit-based reliability of discharge predictions; (2) overnight holds in the postanesthesia care unit, a problem eliminated two months after RTDC work began; (3) the percentage of patients who left without being seen (LWBS), routinely < 0.5% by May 2008; (5) the emergency department median length of stay for admitted patients, routinely < 4 hours after March 2008; and (6) aggregate length of stay (ALOS), generally maintained at < 5.75 days.
CONCLUSIONS: RTDC represents a promising approach to improving hospitalwide patient flow. Its four steps, integrated into current bed management processes, are not an add-on to the work needing to be accomplished everyday.

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Year:  2011        PMID: 21618898     DOI: 10.1016/s1553-7250(11)37029-8

Source DB:  PubMed          Journal:  Jt Comm J Qual Patient Saf        ISSN: 1553-7250


  13 in total

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3.  Predicting next-day discharge via electronic health record access logs.

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4.  Real-time prediction of inpatient length of stay for discharge prioritization.

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5.  Using the red/yellow/green discharge tool to improve the timeliness of hospital discharges.

Authors:  Kusum S Mathews; Philip Corso; Sandra Bacon; Grace Y Jenq
Journal:  Jt Comm J Qual Patient Saf       Date:  2014-06

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Review 8.  Huddles and their effectiveness at the frontlines of clinical care: a scoping review.

Authors:  Camilla B Pimentel; A Lynn Snow; Sarah L Carnes; Nishant R Shah; Julia R Loup; Tatiana M Vallejo-Luces; Caroline Madrigal; Christine W Hartmann
Journal:  J Gen Intern Med       Date:  2021-02-08       Impact factor: 6.473

9.  Decreasing Emergency Department Walkout Rate and Boarding Hours by Improving Inpatient Length of Stay.

Authors:  Andrew W Artenstein; Niels K Rathlev; Douglas Neal; Vernette Townsend; Michael Vemula; Sheila Goldlust; Joseph Schmidt; Paul Visintainer
Journal:  West J Emerg Med       Date:  2017-09-18

10.  Enablers of Physician Prescription of a Long-Term Asthma Controller in Patients with Persistent Asthma.

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Journal:  Can Respir J       Date:  2016-06-15       Impact factor: 2.409

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