It was an enlightening discussion, especially since both Obermeyer and Lipton have experienced machine learning’s ascendance since 2012 and bring perspectives from the clinical side (Obermeyer trained in emergency medicine) and the patient side.
Together, they highlighted healthcare’s information fragmentation and inefficiencies not just for administrative tasks but for care delivery as well. They had a positive outlook on AI’s role and how it could have more opportunities to work in real-world settings to move healthcare toward a more seamless journey for both clinicians and patients.
Ambient Clinical Documentation Supports Better Practice
In this issue, HealthTech highlights some of those real-world settings that are seeing promising results at healthcare organizations.
“Health Systems With Centers Excel in Care Coordination" showcases care command centers at Tampa General Hospital and other health systems that are using AI and analytics to improve coordination across departments and facilities.
“From a Patient Perspective, Governance Is Crucial for Ambient Listening Tools" and “From a Clinician Perspective, Ambient AI Is Returning the ‘Joy Back to Medicine’" focus on ambient clinical documentation tools from both patient and clinician perspectives. On the patient side, there are concerns about data privacy and security. On the clinician side, organizations are making strides to address ongoing burnout.
“This is just the beginning, but it’s exciting that we finally have a technology that can bring a spark back into people’s workflow,” says Anna Schoenbaum, vice president of applications and digital health at Penn Medicine. “It is not without hard work. The implementation requires a team of clinicians and experts in operations, data science, ethics, privacy, security, infrastructure, informatics — and we need everybody to make sure we’re doing it right.
TETA ALIM
