More than Productivity: Include User Experiences when Assessing the ROI of AI-Based Solutions

The following is a guest article by Dr. Peter Hahn, MD, MBA, Dr. Lance Owens, DO, and Joshua Wilda, MPA, CHCIO Over the past two years, clinical and technical leaders at the University of Michigan Health-West have been deploying and assessing the impacts of AI-based solutions intended to improve organizational efficiencies. We focused especially on systems that use advanced machine learning techniques to address the serious problem of physician burnout related to heavy workloads required to document patient care in electronic health record systems (EHRs). Healthcare has highly specialized requirements for AI and other technologies. We believe our experiences using a combination of performance metrics and user surveys to measure the impacts of these new technologies can inform similar initiatives in other, less-regulated professions characterized by cognitively demanding person-to-person interactions. The Imperative to Address Physician Burnout Like most U.S. healthcare organizations, the University of Michigan Health-West has faced rising challenges: increased demand for services from the population, and intense financial pressures from higher costs and reduced reimbursements. In addition, staffing shortages anticipated prior to the COVID-19 pandemic have worsened due to burnout. One source of burnout is the heavy workload required to document patient-provider interactions. EHRs have multiple benefits. They centralize patient records and make data readily accessible for tra...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: AI/Machine Learning Ambulatory C-Suite Leadership Clinical EMR-EHR Health IT Company Healthcare IT Hospital - Health System AI-Based Solutions Ambient Clinical Intelligence Ambient Clinical Voice Artificial Intelligence DAX Digit Source Type: blogs