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A powerful duo: Converging AI with patient data to predict outcomes

October 30, 2023
Artificial Intelligence Business Affairs

As AI evolves to play a more critical role in healthcare, it is imperative to integrate responsible AI principles into every aspect of its implementation. While AI can significantly enhance patient care, its use must be guided by ethical principles, ensuring that human dignity and autonomy are respected. Decisions involving AI should not replace human judgment but rather complement it.

By applying responsible AI to ever-expanding reservoirs of patient data, the healthcare industry can enhance clinical decision-making and gain deeper insights into diseases, treatment options, and care delivery. A responsible, predictive AI model that assesses an individual’s combined genetic, behavioral, and social data holds great potential for enhancing a physician’s ability to tailor care paths and medications to each unique patient. However, predicting patient outcomes isn’t the only aspect of AI in which healthcare professionals are investing.

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AI tools, such as generative GenAI, are becoming increasingly deployed to automate labor-intensive and error-prone operational tasks, granting clinicians instant access to years of clinical data and modernizing the healthcare system’s infrastructure. Projections indicate that implementing AI tools within the U.S. healthcare system can yield annual savings of anywhere between $200 billion and $360 billion.

GenAI is simplifying the prior authorization process by replacing traditional systems–often slow and cumbersome–with one that prioritizes evidence-based treatments from the start. This reduces the need for lengthy prior authorization assessments and guarantees swift access to treatment. GenAI also streamlines the time-consuming administrative tasks related to prior authorizations that consume physicians’ valuable time and resources, freeing up more time for patient care.

Pairing AI with patient data will reshape the healthcare landscape, offering unprecedented insights into patient outcomes and the potential for more personalized care. By weaving responsible AI into healthcare, we can create a future where better health outcomes are achievable and accessible to all, building healthier and more equitable communities.

About the Author: Dr. Brian Covino oversees more than 50 doctors as Cohere Health’s Chief Medical Officer. After practicing orthopedic surgery for more than 25 years, Dr. Covino joined Cohere in 2020 after having served as a consultant since 2018. During his years as a practicing surgeon, Dr. Covino was a partner at Knoxville Orthopaedic Clinic/OrthoTennessee specializing in joint replacement surgery. He holds a bachelor’s from Harvard University as well as an M.S. and M.D. from Georgetown University School of Medicine. Dr. Covino received his surgical training at the University of Virginia Graduate School of Medical Education and completed a fellowship at The Cleveland Clinic Foundation.

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