Enhancing healthcare operations: a systematic literature review on approaches for hospital facility layout planning

PURPOSE

The appropriate physical layout of hospital services can help resolve management problems by streamlining the work of medical teams, improving the flow of patients between specific areas and the medical support environment. Nevertheless, the academic literature lacks structured research into how the physical layout of hospitals might be improved. Our study aims to fill this research gap, providing information for researchers and professionals who intend to guide the hospital facility layout planning (HFLP) from the steps and prescribed approaches found in the literature.

DESIGN/METHODOLOGY/APPROACH

This study analyzes the current literature status and concerning approaches that support HFLP and identifies their strengths and weaknesses. The literature was classified using the following criteria: approaches for layout generation, approaches for layout evaluation and healthcare facility layout outcomes.

FINDINGS

The hospital facility layout outcomes achieved for each phase served as a basis for identifying a list of strengths and weaknesses for the hospital layout facility generation and evaluation approaches. Readers can refer to this paper to identify the approach that best fits the desired goal and the HFLP step.

PRACTICAL IMPLICATIONS

This is a contribution to current studies into HFLP, and it provides guidelines for selecting the approach to be utilized based on the desired outcome.

ORIGINALITY/VALUE

The paper describes how to conduct an HFLP and lists the strengths and weaknesses of each approach. The research may be used as a strategy for determining which tool is most suited based on the practitioner's target purpose.

Optimizing Nurse Workflow Efficiency: An Examination of Nurse Walking Behavior and Space Accessibility in Medical Surgical Units

OBJECTIVE

This study aimed to investigate the effect of spatial adjacencies on nurses' walking patterns and the subsequent impact on staff satisfaction with perceived accessibility and adjacency-related issues.

BACKGROUND

Recognizing the crucial importance of spatial adjacencies in healthcare facilities is essential, as they significantly affect staff morale, fatigue management, operational efficiency, error reduction, and overall patient care excellence, highlighting the need for objective assessments to evaluate the impact of facility layout and space configuration on workflow patterns and staff satisfaction in patient care units.

METHODS

Integrating on-site observations with survey data, we explored how spatial adjacencies affect staff walking behavior and satisfaction in two med-surgical unit floors.

RESULTS

The findings highlighted a significant frequency of movements between nurse stations, patient rooms, and medication areas. Regression analysis identified several contributing factors to staff satisfaction, including the proximity of supplies, team visibility, ease of access across departments, and the location of equipment rooms. Specifically, satisfaction with the proximity of supplies was positively associated with increased provider satisfaction with workflow, quality of care, and workplace. Additionally, valuable feedback from staff revealed concerns regarding break room placement, medication area functionality, and disparities in the availability of supplies.

CONCLUSION

This study highlighted the critical need for carefully planned spatial adjacency strategies to enhance workflow efficiency and raise clinical staff satisfaction within healthcare facilities. The actionable insights gleaned from this research offer valuable direction to architects, healthcare administrators, and design professionals, enabling the creation of environments that positively resonate with healthcare providers and improve healthcare operations.

Innovate and Validate: Design-Led Simulation Optimization to Test Centralized Registration Feasibility in a Multispecialty Clinic

OBJECTIVE

This study utilizes a design-led simulation-optimization process (DLSO) to refine a hybrid registration model for a free-standing outpatient clinic. The goal is to assess the viability of employing DLSO for innovation support and highlight key factors influencing resource requirements.

BACKGROUND

Manual registration in healthcare causes delays, impacting patient services and resource allocation. This study addresses these challenges by optimizing a hybrid centralized registration and adopting technology for efficiency.

METHOD

An iterative methodology with simulation optimization was designed to test a proof of concept. Configurations of four and five registration options within a hybrid centralized system were explored under preregistration adoption rates of 30% and 50%. Three self-service kiosks served as a baseline during concept design and test fits.

RESULTS

Centralized registration accommodated a daily throughput of 2,000 people with a 30% baseline preregistration rate. Assessing preregistration impact on seating capacity showed significant reductions in demand and floor census. For four check-in stations, a 30%-50% preregistration increase led to a 32% seating demand reduction and a 26% decrease in maximum floor census. With five stations, a 50% preregistration reduced seating demand by 23% and maximum floor census by 20%.

CONCLUSION

Innovating introduces complexity and uncertainties requiring buy-in from diverse stakeholders. DLSO experimentation proves beneficial for validating novel concepts during design.

Optimizing the management of electrophysiology labs in Chinese hospitals using a discrete event simulation tool

BACKGROUND

The growing demand for electrophysiology (EP) treatment in China presents a challenge for current EP care delivery systems. This study constructed a discrete event simulation (DES) model of an inpatient EP care delivery process, simulating a generalized inpatient journey of EP patients from admission to discharge in the cardiology department of a tertiary hospital in China. The model shows how many more patients the system can serve under different resource constraints by optimizing various phases of the care delivery process.

METHODS

Model inputs were based on and validated using real-world data, simulating the scheduling of limited resources among competing demands from different patient types. The patient stay consists of three stages, namely: the pre-operative stay, the EP procedure, and the post-operative stay. The model outcome was the total number of discharges during the simulation period. The scenario analysis presented in this paper covers two capacity-limiting scenarios (CLS): (1) fully occupied ward beds and (2) fully occupied electrophysiology laboratories (EP labs). Within each CLS, we investigated potential throughput when the length of stay or operative time was reduced by 10%, 20%, and 30%. The reductions were applied to patients with atrial fibrillation, the most common indication accounting for almost 30% of patients.

RESULTS

Model validation showed simulation results approximated actual data (137.2 discharges calculated vs. 137 observed). With fully occupied wards, reducing pre- and/or post-operative stay time resulted in a 1-7% increased throughput. With fully occupied EP labs, reduced operative time increased throughput by 3-12%.

CONCLUSIONS

Model validation and scenario analyses demonstrated that the DES model reliably reflects the EP care delivery process. Simulations identified which phases of the process should be optimized under different resource constraints, and the expected increases in patients served.

"We Have Outgrown Our Space; Our Facility Is Old and Falling Apart": Physical Design Implications to Address the Needs and Priorities of a Critical Access Hospital (CAH)

OBJECTIVE

This exploratory study examines a rural critical access hospital (CAH) staff's perception of current obstacles and needs concerning the physical environment.

BACKGROUND

CAH intends to improve access to healthcare, coordinate with experts and providers, and serve as the rural population's healthcare hub. It is imperative to understand environmental qualities that impact the quality of care to develop effective policies and design guidelines for rural healthcare. Nevertheless, a limited number of studies have focused on user or organizational outcomes related to the physical environment of rural healthcare settings.

METHODS

This cross-sectional exploratory qualitative case study was conducted as part of the facility planning process for a CAH in rural North Carolina. Hospital staff participated in a survey exploring their satisfaction with the overall physical environment privacy, space allocation, and department adjacency. An open-ended question asked staff to elaborate on needed improvements and changes in their department.

RESULTS

Findings show low satisfaction levels for space allocations for emergency department, lab, surgery, and wound care. Safety and quality were the two emerging outcomes of the physical environment's shortcomings. Two clusters emerged from the content analysis, representing facility needs (rightly sized spaces, functional needs, COVID-19 needs, and improved access) and ambient conditions (clutter, visibility, flooring quality, noise, privacy, cleanliness, aesthetics, and temperature).

CONCLUSION

The findings from this study suggest that the interior and exterior facility and ambient conditions of the CAH play a key role in quality and safety outcomes.

Impact of pre-exposure and post-exposure prophylaxes prevention programme on HIV burden and services in a low-resource setting: a simulation modelling approach

Introduction

sub-Saharan African countries contribute substantially to the global HIV disease burden. Despite this burden, and the promises that prevention could deliver, the implementation and uptake of HIV prevention programmes are still low. The study used the decision support system model to explore the potential impacts of prevention implementation on HIV burden (incidence) and service delivery.

Methods

an operational research technique known as discrete event simulation model was used to capture an individual patient´s pathways through the HIV care process from diagnosis to treatment and monitoring. The regular monitoring, over a 5-year period, including all the activities and resources utilized at each stage of the pathway were analysed, and the impact of increasing prevention measures for an HIV treatment service in a treatment centre in Nigeria was tested using the simulation model.

Results

forty-three patients currently access the Pre-Exposure Prophylaxis (PrEP) and Post Exposure Prophylaxis (PEP) annually, with a 20% and 80% split in the number of patients offered PrEP and PEP, respectively. Scenarios-based on increasing the number of people offered PrEP and PEP from 43 to 250 with a 50/50 split were tested. The outputs revealed improved preventive care by averting new HIV cases, reduction in service demand and utilization, but an increase in the required human resource as well as financial burden. In the next 5 years, the cumulative averted HIV cases are expected to increase from 2 and 5 people (baseline) to 24 and 20 people for PrEP and PEP, respectively. The potentially averted 2 cases per infected persons based on the basic reproductive number of HIV.

Conclusion

the effective implementation of PrEP/PEP programme offers an additional safety measure to prevent HIV transmission in at-risk individuals and possibility of ending HIV epidemic.

Data-Driven Design Strategies to Address Crowding and Boarding in an Emergency Department: A Discrete-Event Simulation Study

OBJECTIVE

To address prolonged lengths of stay (LOS) in a Level 1 trauma center, we examined the impact of implementing two data-driven strategies with a focus on the physical environment.

BACKGROUND

Crowding in emergency departments (EDs) is a widely reported problem leading to increased service times and patients leaving without being seen.

METHODS

Using ED historical data and expert estimates, we created a discrete-event simulation model. We analyzed the likely impact of initiating care and boarding patients in the hallway (hallway care) instead of the exam rooms and adding a dedicated triage space for patients who arrive by emergency medical services (EMS triage) to decrease hallway congestion. The scenarios were compared in terms of LOS, time spent in exam rooms and hallway spaces, service time, blocked time, and utilization rate.

RESULTS

The hallway care scenario resulted in significantly lower LOS and exam room time only for EMS patients but when implemented along with the EMS triage scenario, a significantly lower LOS and exam room time was observed for all patients (EMS and walk-in). The combination of two simulated scenarios resulted in significant improvements in other flow metrics as well.

CONCLUSIONS

Our findings discourage boarding of admitted patients in ED exam rooms. If space limitations require that admitted patients be placed in ED hallways, designers and planners should consider enabling hallway spaces with features recommended in this article. Alternative locations for boarding should be prioritized in or out of the ED. Our findings also encourage establishing a triage area dedicated to EMS patients in the ED.

A Pilot of Data-Driven Modeling to Assess Potential for Improved Efficiency in an Academic Breast-Imaging Center

Patient satisfaction and department efficiency are central pillars in defining quality in medicine. Patient satisfaction is often linked to wait times. We describe a novel method to study workflow and simulate solutions to improve efficiency, thereby decreasing wait times and adding value. We implemented a real-time location system (RTLS) in our academic breast-imaging department to study workflow, including measuring patient wait time, quantifying equipment utilization, and identifying bottlenecks. Then, using discrete event simulation (DES), we modeled solutions with changes in staffing and equipment. Nine hundred and ninety-nine patient encounters were tracked over a 10-week period. The RTLS system recorded 551,512 raw staff and patient time stamps, which were analyzed to produce 17,042 staff and/or patient encounter time stamps. Mean patient wait time was 27 min. The digital breast tomosynthesis (DBT) unit had the highest utilization rate and was identified as a bottleneck. DES predicts a 19.2% reduction in patient length of stay with replacement of a full field digital mammogram (FFDM) unit by a DBT unit and the addition of technologists. Through integration of RTLS with discrete event simulation testing, we created a model based on real-time data to accurately assess patient wait times and patient progress through an appointment, evaluate patient staff-interaction, identify system bottlenecks, and quantitate potential solutions. This quality improvement initiative has important implications, potentially allowing data-driven decisions for staff hiring, equipment purchases, and department layout.