Member May: Role of Technology in Subacute Rehab (1.25 CME) (enduring)-Member May: Role of Technology in Subacute Rehab

Video Transcription

Video Summary

In this video, the speakers Dr. Sheldon Tariq and Dr. Rony Puar discuss the use of technology in sub-acute rehabilitation settings. They highlight the need for physiatrists in this setting and their desire to promote the field. They discuss challenges such as staffing shortages and falls, and then delve into innovative solutions, including device-based solutions that use AI, virtual reality, and sensors. They mention the benefits of these solutions, such as objective data collection and improved outcomes. They also briefly mention other technologies like smart exercise systems, dysphagia solutions, and smart ice machines.<br /><br />The speakers also discuss the use of technology in analyzing various metrics like infections, falls, and length of stay, with software programs such as PCC Insight and Realtime connecting to electronic medical record systems. They emphasize the importance of leveraging technology to improve patient outcomes and reduce costs. They also explore the use of AI and machine learning in healthcare, mentioning smart EMRs, bedside ultrasound, virtual assistants and scribes, telemedicine, and AI-based data analysis.<br /><br />The doctors acknowledge the challenges of documentation time and the need for improved technology to streamline the process. They also address the ethical considerations of technology use, such as privacy and the need for human interaction. They encourage physicians to be leaders in adopting new technologies and to collaborate with facility staff for successful integration.<br /><br />The video ends with the doctors discussing the challenges and benefits of working in sub-acute rehab, mentioning the need for system building and collaboration with facility staff.<br /><br />The credits for this video go to Dr. Sheldon Tariq and Dr. Rony Puar.

Keywords

technology in sub-acute rehabilitation

physiatrists

falls

device-based solutions

AI

sensors

electronic medical record systems

patient outcomes

AI in healthcare

documentation time