Healthcare Design Metrics for Human-Centric Building Analytics

Abstract

Healthcare design practice has shown increasing interest in the assessment of design alternatives from a human-centered approach, focusing on organizational performance, patient health, and wellness outcomes, in addition to building performance. The goal of this research is to advance building analytics by identifying, defining and implementing computational human-centered design metrics. The knowledge is extracted from an exhaustive literature review in the field of evidence-based design (EBD), which has studied the associations between building features and the occupants' outcomes but has not yet consolidated the findings into metrics and implications for design practice in a systematic manner. In consultation with industry experts, we have prioritized the evaluation aspects and developed a weighted evaluation framework for assessment of various design options. The developed metrics that input building parameters and output potential health and performance outcomes are implemented in a a parametric environment utilizing add-ons accordingly, and using an ambulatory clinic designed by Perkins&Will as a case study.

From evidence to assessment: Developing a scenario-based computational design algorithm to support informed decision-making in primary care clinic design workflow

“…Over the last two decades, EBD researchers in healthcare practice have continually followed human-centered methods to improve qualitative goals like patient safety, health outcomes, patient satisfaction, and the efficiency of health workers. 6,7,26,27 One approach that has been followed in the EBD field to better understand the user experience in healthcare facilities was to focus on real-life scenarios. 26,28 Utilizing scenario-based methods more accurately reflects the viewpoints of users by taking into account different roles, daily tasks, and environmental exposures, as well as the needs of each stakeholder group and the environment in which scenarios occur.…”