In today's episode, we are joined by Sanjeev Agrawal, President and Chief Operating Officer, LeanTaaS, to discuss Artificial Intelligence and Predictive Analytics. Tune in to learn more about the most prevalent misconceptions about AI in healthcare, how healthcare leaders can identify proven AI solutions to make an immediate difference for hospitals, and why ML / AI capabilities have taken longer to come to healthcare. This episode is sponsored by LeanTaaS.
Summary
Understanding Artificial Intelligence and Predictive Analytics in Healthcare
In today's episode, Sanjeev Agrawal, President and COO of LeanTaaS, joins us to discuss the applications of artificial intelligence (AI) and predictive analytics in healthcare. There are many misconceptions about AI, and healthcare leaders need to identify proven solutions to see immediate results. This episode is sponsored by LeanTaaS.
Artificial Intelligence in Daily Life
Computers are now capable of discovering patterns in data and coming up with conclusions without explicit programming. People interact with AI in their daily life in various ways, such as through search engines, social media algorithms, and personalized recommendations on shopping and entertainment platforms. AI's abilities have also been applied to industries like airline yield management and financial services.
Identifying Proven Solutions for Healthcare
Healthcare leaders need to cut through the hype and identify companies with proven successes and a deep understanding of healthcare's nuances. They should seek out companies that specialize in change management, share financial responsibility, and come with money-back guarantees. AI solutions can be used to improve decision-making in various settings, such as radiology or improving hospital operations.
Overcoming Barriers to Adoption
Healthcare has been slower than other industries in adopting digital technologies due to its relatively recent experimentation with electronic health records (EHRs). Unlike other industries like airlines where market forces compel a more efficient operation, health systems tend to be hyper-local and do not face the same competitive pressures. Additionally, health systems have already invested a lot of funds in EHRs and have less interest in diverting resources to other technologies. However, LeanTaaS can help optimize capacity by predicting patient behaviour, allowing for more surgeries and appointments, leading to a more efficient and profitable health system.
Investing in Machine Learning and Predictive Analytics
Sanjeev Agrawal believes that healthcare leaders should choose business problems where machine learning and predictive analytics can make a difference. Investing in these projects can have a quick return on investment compared to large infrastructure projects that require years or decades to pay off. Healthcare leaders should focus on the ways that AI can help healthcare professionals make better decisions, resulting in more efficiency and meaningful patient outcomes.
Note: This is an AI generated transcript, not edited by a staff writer and is solely intended for educational purposes. If you have any questions/concerns, reach out to podcasts@beckershealthcare.com
This episode aired on 09/09/2022 and can be listened here.
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