CASE STUDY
CLIENT: Inspira Health Network Vineland, NJ
Executives make data-driven capital spending decisions with help from healthcare consultants. Executive teams investigating the future must make critical decisions regarding the future of healthcare delivery now. New facilities’ designs should meet the fluctuating demands of the future, with little need for major renovation. By offering strategic decision support, we can measure the outcome of incorporating universal resources and collocating similar departments, helping lay the framework for sustainable design. SERVICE: Transformation
EXECUTIVE SUMMARY
METHOD: Strategic Decision Support
Inspira Health Network, a regional healthcare provider that operates multiple ambulatory and acute care facilities, engaged Array to assist in a departmental space allocation study for their new greenfield hospital. The emergency department (ED) and observation unit were key departments in this study.
Challenge Provide the executive-level team with highlevel decision support around emergency department capacity, and present options that minimize capital spending.
Currently, staff direct patients who arrive to the ED to either the main ED or the observation unit, where they spend time in a bed before being either admitted or discharged. We received high-level data regarding the patient acuity distribution, average length of stay, and patient arrival rates. Using these readily-available figures, our Healthcare Systems Engineer developed a strategic model to explore the impact
Solution
of utilizing flexible beds shared by the observation unit and ED. The model helped us
Array used discrete event simulation modeling to produce a high-level, decision support resource. Building a model with readily available data, including average length of stay, patient mix and arrival rates, enabled the swift turn-around of a tool that answered one strategic question, “Should we use a universal resource for observation and the emergency department?” The model helped the executive team see the results of various scenarios in a quick, concise manner so they could make a strategic, data-supported decision.
team:
PROJECT PROJECT HIGHLIGHTS HIGHLIGHTS
analyze three options for patient throughput, which we presented to the executive
$1.8M
1. Continue with the current state model and build 57 rooms (41 main ED; 16 observation) 2. Reduce the number of main ED beds from 41 to 36, but continue treating observation patients in a separate area with 16 beds, for a total of 52 rooms 3. Reduce the total number of beds to 52 and use flexible beds for both the main ED and observation unit Applying the information gleaned from the model results, the executive team quickly made a strategic decision that resulted in an estimated $1.8M savings.
ESTIMATED COST REDUCTION
3
BED ALLOCATION MODELS TESTED
4
%
OBSERVATION PATIENTS