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In simple terms, AI refers to studying and mimicking the ways and methods to make machines think and act like human beings. A few years ago Elon Musk, who has been at the forefront of innovation with his involvement in companies like Tesla, SpaceX, and Neuralink, dubbed Artificial Intelligence as the “biggest existential threat” and its usage akin to ”summoning the demon”. Bill Gates, not so long ago, termed AI as being “both promising and dangerous”. While the jury is still out on what is the likely impact AI will have on the world in the coming decades and the nature of the impact, there can be little doubting of the promise it holds of having an impact in one one of the most significant aspects of human existence and well-being: healthcare. In this blog, we aim to explore the paths and the possibilities for AI-based solutions for healthcare.

This is the first in a new series of Q&A articles where we interview healthcare industry trailblazers who brought their talent and experience to Innovaccer to help our customers accelerate innovation and digital transformation.

Dr. Nicole Fetter is a partner in the health segment of Guidehouse, recognized as the third largest healthcare management consulting firm by Modern Healthcare in 2021.

How can providers improve their ability to meet the business and clinical performance targets in their contracts? With tighter operating margins and rising costs, it's a critical concern shared by provider organizations in both the fee-for-service and value-based worlds.

“The doctor’s handwriting is as bad as it’s advertised.” And when it comes to documenting the patient interaction in EHR, taking notes is a challenge on its own. The blunt of it is faced by medical assistants who have to cater to different styles of note-taking for multiple doctors. It does not only need to be consistent and standardized, more importantly, but it should also be beneficial to everyone in the care journey who reviews patient records. Hence, to ensure continuity of care, clinical notes are a vital element in patient care.

In today’s healthcare landscape, organizations rely on data across the care continuum with patient data playing an important role in the care they receive. Inaccurate and low-quality information can impact patient safety and lead to unnecessary testing or improper treatment and medication management. According to Black Book Research, inaccurate patient identification and patient matching issues—which lead to repeated medical care due to duplicate records—cost hospitals an average of $1,950 per patient per stay and more than $800 per ED visit.