# Pioneering the Use of Tracker Data to Evaluate Lean-Led Hospital Design

## TL;DR

This study explores whether Lean-Led Hospital Design impacts how nurses spend their time, using tracking devices to gather data before and after facility changes.

## Contribution

The study pioneers the use of mobile tracking devices to evaluate Lean-Led Hospital Design's impact on nurse time allocation.

## Key findings

- No significant difference in value-adding time was found between old and new facilities.
- Mobile tracking devices proved to be an affordable and efficient data collection method.
- Qualitative data is needed to fully interpret time-based findings.

## Abstract

This study aims to examine how we can effectively and affordably evaluate the impact of design concepts such as Lean-Led Hospital Design (LLHD) on the allocation of nurses’ time spent at different locations. Particularly in patient rooms, as this can be seen as value-adding time.

LLHD aims to create a hospital environment that supports value creation for patients and reduces waste. However, only a few studies measure its’ effects. One of the reasons for this absence is the lack of an adequate and affordable way to evaluate.

Nurses’ time spent in patient rooms was used as a proxy for value-adding time. Through studying a pioneering case of LLHD, and drawing on a pre-/postoccupancy evaluation approach, this study used an innovative methodology utilizing mobile tracking devices to adequately provide reliable data about the time nurses spend at specific locations.

Our analysis reveals that the answer to the question concerning the impact of LLHD, as advocated by its proponents, on nurses’ allocation of time for value-adding activities versus waste time remains inconclusive. Our findings indicate no discernible difference in the amount of value-adding time nurses spent in the old facility compared to the new one.

Our experience suggests that mobile tracking devices offer an affordable, efficient means of collecting data that produces objective measurements. Nevertheless, the interpretation of this time-based data necessitates the inclusion of supplementary qualitative information.