Boarding—the practice of holding admitted patients in the ED or temporary locations for extended periods—has become a major concern. Hospitals and healthcare systems increasingly recognize that addressing boarding requires comprehensive, hospital-wide strategies focusing on patient flow, discharge timing, and capacity management rather than isolated emergency department interventions alone.
This article examines the critical need to eliminate boarding in emergency care settings, drawing on recent research and industry reports. It outlines effective strategies for reducing boarding, highlights the operational improvements that can be realized, and discusses the role of emerging technologies, including artificial intelligence (AI) and workflow automation, in assisting hospital administrative and IT leadership to better manage patient flow and emergency care services.
Boarding occurs when patients admitted to the hospital remain in the emergency department or a temporary holding area for hours or even days after the decision to admit or transfer has been made. The Joint Commission, the national healthcare accreditation body, defines boarding as holding patients in the ED more than four hours after admission or transfer decisions. Although this four-hour threshold is a guideline rather than a mandate for accreditation, extended boarding times have been closely linked to numerous adverse outcomes.
Studies have demonstrated that boarding contributes to increased patient mortality, longer hospital length of stay (LOS), and diminished care quality. For example, ED overcrowding and boarding correlate with a three- to fivefold increase in complications for acute coronary syndrome patients and higher 28-day mortality rates in community-acquired pneumonia cases. Additionally, boarding leads to treatment delays for conditions such as asthma exacerbations and pneumonia as well as extended waits for pain relief. This directly compromises patient safety and satisfaction.
Research from multiple reputable institutions confirms that boarding is a symptom of broader hospital-wide capacity issues rather than isolated ED problems. Patients remain boarded because inpatient beds are unavailable, often due to delays in discharge processes and uneven admission scheduling. For instance, in 2012, U.S. ED visits totaled 131 million, with about 14.5 million resulting in admissions. Among admitted patients, 11% required critical care—patients who are particularly vulnerable to delays caused by boarding.
The Institute of Medicine’s (IOM) report, The Future of Emergency Care in the United States Health System, highlights that improving patient flow through operations management and information technology is a key approach to resolving overcrowding and boarding problems. The report’s authors, including Dr. Litvak and Brad Prenney of the Institute for Healthcare Optimization, promote using variability methodology and queuing theory to analyze and redesign hospital processes.
Hospital leaders are urged to adopt enterprise-wide strategies optimizing the entire patient journey from admission to discharge. This includes:
This approach contrasts with earlier, more limited efforts like adding ED beds or diverting non-urgent patients, which often resulted in small improvements.
Better outcomes require commitment from hospital leadership. The Joint Commission’s research and updated standards place responsibility with executives and department heads who must regularly review and respond to patient flow metrics. Leadership also needs to ensure coordination across departments, including work with behavioral health providers, which is important to reduce boarding of psychiatric and substance abuse patients.
Many hospitals are beginning to see boarding as reflecting their organizational culture and priorities. Creating a culture focused on efficient patient flow and safety can improve results.
Artificial intelligence (AI) and workflow automation offer useful tools for hospital administrators and IT managers working to improve patient flow and reduce boarding.
AI-Driven Patient Flow Analytics: AI can analyze past and current data on admissions, bed use, discharge patterns, and bottlenecks. Machine learning algorithms forecast admission peaks and predict discharge times, enabling better scheduling and resource management. This helps smooth admissions and discharges hospital-wide, lowering unexpected capacity swings that cause boarding.
Automated Communication and Coordination Tools: Workflow automation supports communication between clinical teams, bed managers, transport, and other departments. Automated alerts can inform inpatient units of pending discharges to prepare rooms sooner. It also improves coordination between ED and inpatient nursing teams, helping to reduce delays during patient transfers.
Front-Office and Call Center Automation: Technologies like Simbo AI automate front-office phone tasks using conversational AI. This reduces administrative workload and shortens caller wait times for emergency or hospital services. Better communication can ease patient arrivals and improve triage timing, which helps manage ED patient loads.
Operational Decision Support: AI platforms can provide dashboards showing key performance metrics such as boarding hours, average length of stay, discharge timing, and ED wait times. These real-time data make it easier for hospital leaders to make informed decisions, take corrective steps, and support continuous improvement.
Together, these AI and automation tools help hospitals shift from reacting to boarding issues to actively managing patient flow.
For hospital administrators, medical practice owners, and IT managers nationwide, the need is clear: boarding in emergency care reduces safety, lowers care quality, and increases costs. Addressing boarding takes layered strategies involving operational changes, leadership involvement, and the careful use of technology.
Actions include:
Reducing boarding practices can improve emergency care experiences, cut medical errors, shorten hospital stays, and save lives. These efforts also support regulatory trends and value-based care models that reward efficiency and quality.
Ongoing efforts to improve patient flow using proven operational methods and modern technology offer a path toward sustained improvements in emergency department performance and wider hospital care. Organizations that align their strategies with current best practices are better positioned to meet patient needs and comply with healthcare regulations in the complex U.S. health system.
The report assesses severe problems in the U.S. emergency care system and offers recommendations to improve quality, reduce costs, and address issues like overcrowding.
Brad Prenney, the Chief Operating Officer of the Institute for Healthcare Optimization, was commissioned by the IOM to author the paper.
The report recommends applying operations management principles and Variability Methodology to improve efficiency and patient flow.
By smoothing patient flow and eliminating artificial variabilities that impair it, hospitals can enhance safety and quality of care.
Tools from engineering and operations research, including queuing theory and the I/T/O model, can be applied to enhance patient flow in hospitals.
Healthcare personnel should be trained in Operations Management to effectively apply management science tools in healthcare delivery.
The report advocates ending boarding patients in the emergency department and ambulance diversion, except in extreme cases.
They should establish standards, guidelines, and measures for boarding and diversion practices, involving experts from relevant disciplines.
Integrating operations management can help hospitals reduce waste and operational inefficiencies while improving care quality.
Hospital CEOs are encouraged to adopt enterprise-wide operations management strategies to enhance emergency care quality and efficiency.