Healthcare in the United States is going through big changes. Hospitals and health systems face more patients, fewer workers, and money problems. Medical administrators, practice owners, and IT managers have to lead their groups through these changes while keeping care good, efficient, and easy to get. One important change is moving care from hospital stays to outpatient and virtual care options. This helps solve space issues, makes care easier for patients, and keeps the system working well in the future.
This article talks about how healthcare providers are changing care options. It focuses on expanding outpatient care, home care, and virtual care. It also covers how workers are adapting and how new technologies like artificial intelligence (AI) and automation help manage costs and improve care.
Healthcare systems in the U.S. have limited space and resources. The number of older people is rising. This means more patients are discharged from hospitals, increasing by about 3% in the next ten years. The total days patients spend in the hospital are expected to rise by 9%. Around 70% of these days involve patients with less severe conditions, meaning many could be treated outside the hospital. Visits to emergency rooms are expected to drop by 4%, but visits for serious emergencies should rise by 8%. This adds pressure on acute care facilities.
At the same time, there are fewer healthcare workers. By 2034, there might be 124,000 fewer doctors. Nurses leave jobs often, with turnover rates between 7% and 8%. Replacing a registered nurse can cost about $88,000. These issues make hospitals rethink how they give care to use resources better and help patients more effectively.
To manage these problems, healthcare providers are moving more care to outpatient places. These include multispecialty clinics, surgery centers, and urgent care offices. These places are closer to where people live, making care easier to get and reducing the number of hospital stays.
Reports from UPMC’s Center for Connected Medicine and KLAS Research show that outpatient care is now a main part of healthcare plans. Many large health systems have leaders focused on outpatient care to improve access, efficiency, and long-term success.
Hospitals invest in outpatient centers in growing and underserved areas. For example, UPMC partners with GoHealth Urgent Care, which has over 80 centers in Pennsylvania and West Virginia. This helps give more outpatient access and lessens hospital crowding.
Health systems also try new outpatient services like infusion therapy and clinics after hospital stays. These reduce the need for hospital beds and let hospitals focus on the most serious cases.
Besides outpatient care, home-based care programs can lower hospital demands. They also tend to make patients happier and improve health results. For example, NYU Langone’s Hospital at Home uses skilled nurses and remote monitoring to give hospital-level care at patients’ homes.
Data from NYU Langone shows that patients in the Hospital at Home program stayed fewer days (0.73 days) compared to regular hospital stays (0.82 days). Their readmission rates were lower too—8.7% versus 11.3% in normal hospital care. This shows that acute care can be safely done outside the hospital, lowering costs and risks like infections.
Home care fits patients’ wishes for easier and more personal attention. Tools for remote monitoring and virtual visits help doctors check on patients continuously without needing to admit them to the hospital.
Changing to outpatient and virtual care means new ways of working for healthcare staff.
Many places use advanced practice providers (APPs), like nurse practitioners and physician assistants, to help with less serious cases and increase care capacity. For example, UPMC’s Neurology Department created a 1-year APP Fellowship and Transition Program to train APPs for neurology care. Their Rapid Access in Neurology program staffed by APPs saw over 1,000 new patients in seven months. Wait times dropped to under two weeks, and no-show rates were about 10%, nearly half the usual rate.
In nursing, flexible systems like internal float pools and telehealth nursing help cover shifts and balance workloads. UNC Health and SSM Health use technology like ShiftMed to support float nurse pools. At UNC Health, the number of float nurse shifts doubled in three months, helping outpatient clinics. SSM Health helped over 500 nurses move from contract jobs to full-time work, cutting down on expensive travel nurses.
Nursing roles are also changing with virtual nursing and team-based care. This helps balance workloads, support mental health, and offer better career paths. These changes help stop burnout and keep experienced nurses.
Technology is key in these changes and helps protect staff capacity. One big area is using artificial intelligence (AI) and automation to make work easier and more efficient.
Healthcare leaders now use predictive analytics to manage capacity and resources better. For example, Memorial Hermann uses the Vizient Vulnerability Index™ and data by zip code to find areas with high readmission risks. This lets them focus on patients with social needs that increase hospital stays. Local data helps target prevention efforts and cut down on hospital use.
Other places, like UC San Diego Health, have control centers with real-time dashboards to watch patient flow, bed status, and staff workloads. These tools help make quick decisions that improve patient flow and experience. Sanford Health uses a platform called LAMP that combines electronic health records and HR data to predict staffing needs and service demands. This helps with budgeting and hiring.
AI also helps clinical teams with task management, virtual assistants for patient communication, transcription, and scheduling. These reduce paperwork and give healthcare workers more time to care for patients.
For front-office tasks, companies like Simbo AI offer AI-powered phone systems to handle patient calls and scheduling. This helps manage busy call lines without affecting clinical work.
Healthcare use is affected not just by medical issues but also by social factors like income, transportation, and local resources. Research from Vizient shows that patients from areas with high social needs make up a large part of some hospital discharges, especially for diabetes.
Focusing on these populations with prevention and community care can free up hospital beds and save money. For example, cutting diabetes admissions by 20% in high-need areas could reduce bed days by 8% and save about $126 million in costs nationwide.
Good outpatient care includes working with community groups, social services, and technology companies to address these issues. This helps make care fairer and lowers hospital demand.
Putting these ideas together helps healthcare organizations handle current problems, meet growing needs, and keep care quality high. AI and automation especially support office work and administration, freeing clinical staff to focus on patients and helping control costs while keeping workers strong.
Medical practice leaders who carefully use these methods can serve patients better, reduce pressure on hospital beds, and build care systems ready for ongoing change. Moving from a focus on hospital stays to outpatient, home, and virtual care is a major change in healthcare delivery in the United States.
Healthcare systems are facing tight margins, an aging population with complex illnesses, a decline in healthcare workers, and potential hospital closures, creating significant capacity constraints.
Leaders can use predictive analytics and localized metrics to identify patient volume growth, manage capacity, and optimize resource allocation, improving decision-making and healthcare delivery.
Healthcare organizations are partnering with educational institutions, restructuring training schedules, and incorporating advanced practice providers to enhance workforce efficiency and patient care.
Shifting care from inpatient to outpatient settings or utilizing virtual care can relieve pressure on hospitals, improve access, and enhance overall care delivery.
Communities with high social needs show higher hospitalization rates, indicating that addressing SDOH can improve capacity management and patient outcomes.
Utilizing mission control centers and predictive analytic dashboards helps optimize patient flow and capacity by aligning needs with resources.
AI innovations, such as automated task managers and centralized scheduling systems, allow current staff to operate more efficiently and reduce burnout.
There is a projected 9% increase in days patients spend in hospitals, especially among low and medium acuity patients, and a shift towards virtual care.
NYU Langone’s hospital-at-home model has demonstrated lower observed lengths of stay and readmissions compared to traditional hospital care.
By leveraging data, rethinking workforce strategies, redefining care delivery, and focusing on areas impacted by SDOH, health systems can better manage capacity challenges.