Planning intensive care unit design using computer simulation modeling: optimizing integration of clinical, operational, and architectural requirements

Advancing evidence-based healthcare facility design: a systematic literature review

Healthcare facility design is a complex process that brings together diverse stakeholders and ideally aligns operational, environmental, experiential, clinical, and organizational objectives. The challenges inherent in facility design arise from the dynamic and complex nature of healthcare itself, and the growing accountability to the quadruple aims of enhancing patient experience, improving population health, reducing costs, and improving staff work life. Many healthcare systems and design practitioners are adopting an evidence-based approach to facility design, defined broadly as basing decisions about the built environment on credible and rigorous research and linking facility design to quality outcomes. Studies focused on architectural options and concepts in the evidence-based design literature have largely employed observation, surveys, post-occupancy study, space syntax analysis, or have been retrospective in nature. Fewer studies have explored layout optimization frameworks, healthcare layout modeling, applications of artificial intelligence, and layout robustness. These operations research/operations management approaches are highly valuable methods to inform healthcare facility design process in its earliest stages and measure performance in quantitative terms, yet they are currently underutilized. A primary objective of this paper is to begin to bridge this gap. This systematic review summarizes 65 evidence-based research studies related to facility layout and planning concepts published from 2008 through 2018, and categorizes them by methodology, area of focus, typology, and metrics of interest. The review identifies gaps in the existing literature and proposes solutions to advance evidence-based healthcare facility design. This work is the first of its kind to review the facility design literature across the disciplines of evidence-based healthcare design research, healthcare systems engineering, and operations research/operations management. The review suggests areas for future study that will enhance evidence-based healthcare facility designs through the integration of operations research and management science methods.

Commissioning simulations to test new healthcare facilities: a proactive and innovative approach to healthcare system safety

Development and reconstruction of new healthcare facilities and spaces has the potential for latent safety threats to emerge, specifically unintentional harm that could affect actual patients once the facility opens, such as missing equipment, inefficient setup, or insufficient space for procedures. Process-orientated simulation and testing is a novel innovation in healthcare. The aim of process-orientated simulations and debriefing is to examine the process of care, rather than the outcome of care. These simulations, which take place in actual patient care settings and environments prior to occupancy, are an emerging strategy that can be used to test new environments and new healthcare facilities to ensure that the spaces created match the needs of the staff and administration, while proactively identifying latent safety threats prior to delivering patient care. In turn, these simulations can be also be used as part of the new site orientation and training plan. The aim of this paper is to examine a case study describing the use of the novel innovation of process-orientated simulations to test the opening of a new 300-bed healthcare facility.

Using Discrete Event Simulation (DES) To Support Performance-Driven Healthcare Design

Aim:

This article aims to provide a description of fundamental elements of discrete event simulation (DES), the process and the values of applying DES in assisting healthcare design and planning decision-making. More importantly, it explores how new technology such as electronic medical records, real-time location services (RTLS), and other simulation methods such as space syntax analysis (SSA) can facilitate and complement DES.

Background:

Healthcare administrators increasingly recognize DES as an effective tool for allocating resources and process improvement. However, limited studies have described specifically how DES can facilitate healthcare design.

Method:

Three case studies were provided to illustrate the value of DES in supporting healthcare design. The first case study used DES to validate a surgical suite design for shorter surgeon walking distance. The second case study used DES to facilitate capacity planning in a clinic through testing the utilization of exam rooms upon various growth scenario. The detailed process data for the current clinic were captured through RTLS tracking. The third case study applied DES in an emergency department for both site selection in master planning and capacity test at various growth scenarios with seasonal volume swing. In addition, SSA was conducted to evaluate the impacts of design on visual surveillance, team communication, and co-awareness.

Conclusions:

It is recognized that the DES analysis is an effective tool to address the process aspects of healthcare environments and should be combined with post-occupancy evaluation and SSA to address behavioral aspects of operations to provide more solid evidence for future design.

Providers' Reports of Environmental Conditions and Resources at Births in the United States

Environmental conditions and resources that may influence provider's behaviors have been investigated in birth environments focusing on location rather than conditions and available resources. Using a descriptive, cross sectional design, we surveyed a random sample of certified nurse-midwives (CNMs), obstetricians, family practice physicians, and certified professional midwives (CPMs) to describe conditions, resources, and workforce present during U.S. births. In all, 1,243 midwives and physicians reported most environmental resources were present at almost 100% of births they attended. Conditions varied: room noise acceptability restriction of phone calls/texts from any source and lighting kept to a minimum. Trainees were present at most births regardless of setting and provider type. The impact of room noise, phone calls/texting, and lighting on outcomes should be determined. The roles and impact of personnel, including trainees, should be described. The extent to which clusters of resources are associated with outcomes might provide new directions for interventions that improve care.

Nursing Unit Design, Nursing Staff Communication Networks, and Patient Falls: Are They Related?

Purpose:

The purpose of this research is to (1) investigate the impact of nursing unit design on nursing staff communication patterns and, ultimately, on patient falls in acute care nursing units; and (2) evaluate whether differences in fall rates, if found, were associated with the nursing unit physical structure (shape) or size.

Background:

Nursing staff communication and nursing unit design are frequently linked to patient safety outcomes, yet little is known about the impact of specific nursing unit designs on nursing communication patterns that might affect patient falls.

Method:

An exploratory longitudinal correlational design was used to measure nursing unit communication structures using social network analysis techniques. Data were collected 4 times over a 7-month period. Floor plans were used to determine nursing unit design. Fall rates were provided by hospital coordinators.

Results:

An analysis of covariance controlling for hospitals resulted in a statistically significant interaction of unit shape and size (number of beds). The interaction occurred when medium- and large-sized racetrack-shaped units intersected with medium- and large-sized cross-shaped units.

Conclusion:

The results suggest that nursing unit design shape impacts nursing communication patterns, and the interaction of shape and size may impact patient falls. How those communication patterns affect patient falls should be considered when planning hospital construction of nursing care units.

Macrocognition in the Healthcare Built Environment (mHCBE): A Focused Ethnographic Study of “Neighborhoods” in a Pediatric Intensive Care Unit

Objectives:

The objectives of this research were to describe the interactions (formal and informal), in which macrocognitive functions occur and their location on a pediatric intensive care unit, to describe challenges and facilitators of macrocognition using space syntax constructs (openness, connectivity, and visibility), and to analyze the healthcare built environment (HCBE) using those constructs to explicate influences on macrocognition.

Background:

In high reliability, complex industries, macrocognition is an approach to develop new knowledge among interprofessional team members. Although macrocognitive functions have been analyzed in multiple healthcare settings, the effect of the HCBE on those functions has not been directly studied. The theoretical framework, “macrocognition in the healthcare built environment” (mHCBE) addresses this relationship.

Method:

A focused ethnographic study was conducted including observation and focus groups. Architectural drawing files used to create distance matrices and isovist field view analyses were compared to panoramic photographs and ethnographic data.

Results:

Neighborhoods comprised of corner configurations with maximized visibility enhanced team interactions as well as observation of patients, offering the greatest opportunity for informal situated macrocognitive interactions (SMIs).

Conclusions:

Results from this study support the intricate link between macrocognitive interactions and space syntax constructs within the HCBE. These findings help increase understanding of how use of the framework of Macrocognition in the HCBE can improve design and support adaptation of interprofessional team practices, maximizing macrocognitive interaction opportunities for patient, family, and team safety and quality.