What's Happening?
Health system executives in the U.S. are prioritizing automation and artificial intelligence (AI) for operational efficiency, particularly in back-office tasks, over patient engagement initiatives. A survey
by Lirio and Sage Growth Partners reveals that while 60% of executives see automating patient outreach as a top priority, 83% have invested in AI for tasks like automated documentation to improve clinician workflows. Despite recognizing the potential of AI in patient engagement, such as reducing no-show rates and improving medication adherence, only 35% have invested in these tools. The focus remains on immediate operational benefits rather than long-term patient engagement outcomes.
Why It's Important?
The prioritization of AI for operational efficiency over patient engagement reflects the financial pressures health systems face. Immediate returns on investment from operational improvements are more attractive than the longer-term benefits of patient engagement technologies. This focus could impact patient care quality and outcomes, as personalized engagement is crucial for managing chronic conditions and improving overall health. The disconnect between priorities and investments suggests a need for health systems to reassess their strategies to balance operational efficiency with patient-centered care, potentially affecting patient satisfaction and health outcomes.
What's Next?
Health systems may need to reevaluate their AI investment strategies to include patient engagement as a priority. This could involve redefining success metrics to highlight the long-term value of patient engagement technologies. As financial pressures persist, health systems might explore ways to achieve quick wins in patient engagement that align with operational goals. The development of AI tools that offer both immediate and long-term benefits could drive more balanced investment strategies, ultimately enhancing patient care and operational efficiency.
