These days, it seems like you can’t turn around without hearing something new about AI. This quickly evolving technology has the potential to revolutionize healthcare, but only if organizations can identify real-world ways to harness it.
As a fellow of the American College of Health Data Management, I had the opportunity to share my insights in a three-part series featured in Health Data Management. In the series, I discuss how AI can help patients, the providers that serve them, and the organizations that want to reduce clinical burden, improve efficiency, and, most of all, provide the highest quality care possible.
Part 1: How AI can help empower patients with chronic diseases
In part 1 of this series, I examine how AI can encourage patients to become more engaged in their care, especially for those managing chronic conditions. AI apps that can track medical conditions and provide educational tools can help take some of the burden off of patients by reminding them of doses, providing alerts for important information, and bridging gaps in knowledge about their health. In this article, I examine Type 2 Diabetes as a use case for AI in improving patient engagement.
Read part 1 at healthdatamanagement.com
Part 2: Why leveraging AI portends promise to aid healthcare
Clinician burden, data overload, inefficient processes: in part 2 of my HDM series, I explore how organizations can utilize AI to help address these challenges. Organizations now have access to more patient data than ever before, but it can be difficult to sort through this ocean of data and find the meaningful information that clinicians actually need. By using tools such as MEDITECH’s search and summarization features, clinicians can have a fast track to finding important information about their patients. Read part 2 to hear more about how tools like search and summarization and ambient listening can continue to help reduce clinician burden.
Read part 2 at healthdatamanagement.com
Part 3: Why AI offers long-term benefits in improving outcomes
So, what’s the big picture regarding the AI landscape? In the final part of this series, I reexamine all the pieces of how AI can improve the patient experience, reduce burdens on clinicians that lead to burnout, and streamline decision-making. You’ll also hear how achievable use cases have the potential to reduce annual healthcare spending by billions of dollars.
Read part 3 at healthdatamanagement.com
We all know that the healthcare industry is both excited and tentative about the possibilities of AI. However, these technologies really do have the opportunity to improve healthcare for patients, providers, and organizations.
Want to learn more? Check out this on-demand webinar where I join two other American College of Health Data Management fellows using MEDITECH Expanse to provide actionable insights. We discuss integrating the latest innovations in artificial intelligence, interoperability, genomics, and clinical decision support into the clinician workflow to reduce burden, ensure health equity, and improve patient care.