AI in Health Care: 5 Things to Know

April 24, 2025

Artificial Intelligence (AI) is rapidly evolving how hospitals operate and deliver care.

During a recent presentation to the Joint State Government Commission’s Advisory Committee on Artificial Intelligence Impact and Potential in Pennsylvania, HAP’s Charles (CJ) Sabo and Tom Kitchen, Jr., managers, emergency management, outlined key ways hospitals are using AI as well as considerations for leaders in implementing such technology.

AI is already demonstrating significant potential to improve patient outcomes and operational efficiency, they said. But it must be implemented carefully and with policies that provide safeguards to protect organizational security, patient privacy, social and human rights, and other risks.

Here are five key ways AI is transforming care:

• Diagnostic support:  Hospitals are deploying AI-powered tools that analyze patient charts to identify primary and secondary diagnoses. These tools can detect conditions that may have been unintentionally overlooked by clinicians, leading to improved diagnostic accuracy.
• Predictive modeling for high-risk patients:  Hospitals are leveraging predictive analytics to identify patients at elevated risk of adverse outcomes, such as readmission or hospital-acquired conditions. These models enable proactive interventions that improve patient outcomes and reduce health care costs. Several hospitals have reported a 22 percent reduction in patient mortality and an estimated 153 lives saved over 11 months.
• AI-assisted radiology and imaging analysis:  Advanced algorithms can analyze medical imaging—including CT scans, MRIs, and X-rays—with remarkable precision. These tools act as a secondary review for radiologists, flagging subtle or rare abnormalities that may otherwise go unnoticed and resulting in quicker response to life-threatening conditions.
• Virtual nursing and virtual sitter programs:  Hospitals are deploying virtual remote sitters and virtual nurses to monitor high-risk patients—such as those prone to falls or disorientation—remotely, leading to a decrease in patient falls. Virtual nurses assist with tasks like admissions, discharges, and patient education, which has contributed to a 25 percent improvement in nurse satisfaction and well-being.
• Ambient voice technology:  Ambient voice technology automatically transcribes clinician-patient interactions in real time. This innovation significantly reduces documentation time, allowing providers to spend more time with patients and less on administrative tasks. The technology reduces clinician burnout, improves documentation accuracy, and supports more meaningful, engaged encounters for patients.

Read HAP’s written statement to the commission online.