Front-line ordering clinicians: matching workforce to workload.

TitleFront-line ordering clinicians: matching workforce to workload.
Publication TypeJournal Article
Year of Publication2014
AuthorsFieldston ES, Zaoutis LB, Hicks PJ, Kolb S, Sladek E, Geiger D, Agosto PM, Boswinkel JP, Bell LM
JournalJ Hosp Med
Volume9
Issue7
Pagination457-62
Date Published2014 Jul
ISSN1553-5606
KeywordsDelivery of Health Care, Health Manpower, Humans, Nursing Staff, Hospital, Patient Care, Personnel Staffing and Scheduling, Physicians, Workload
Abstract

BACKGROUND: Matching workforce to workload is particularly important in healthcare delivery, where an excess of workload for the available workforce may negatively impact processes and outcomes of patient care and resident learning. Hospitals currently lack a means to measure and match dynamic workload and workforce factors.

OBJECTIVES: This article describes our work to develop and obtain consensus for use of an objective tool to dynamically match the front-line ordering clinician (FLOC) workforce to clinical workload in a variety of inpatient settings.

METHODS: We undertook development of a tool to represent hospital workload and workforce based on literature reviews, discussions with clinical leadership, and repeated validation sessions. We met with physicians and nurses from every clinical care area of our large, urban children's hospital at least twice.

RESULTS: We successfully created a tool in a matrix format that is objective and flexible and can be applied to a variety of settings. We presented the tool in 14 hospital divisions and received widespread acceptance among physician, nursing, and administrative leadership. The hospital uses the tool to identify gaps in FLOC coverage and guide staffing decisions.

DISCUSSION: Hospitals can better match workload to workforce if they can define and measure these elements. The Care Model Matrix is a flexible, objective tool that quantifies the multidimensional aspects of workload and workforce. The tool, which uses multiple variables that are easily modifiable, can be adapted to a variety of settings.

DOI10.1002/jhm.2194
Alternate JournalJ Hosp Med
PubMed ID24706603