Executive Summary
Artificial intelligence (AI) is poised to disrupt the healthcare industry like no other technology. While it won’t replace human experts, AI is transforming how care is delivered – impacting the roles of doctors, nurses, pharmacists, and all other care providers, as well as the teams who support them, from payers and life sciences teams to policymakers.
AI is now permanently part of the healthcare conversation. In the last few years alone, “AI” went from a futuristic concept to table stakes; it’s now a necessary cog in the care continuum, on par in importance with electronic health records (EHRs) and revenue cycle management (RCM) platforms, which AI is already optimizing.
However, it’s important to understand the mechanics of AI, the guardrails to keep in mind, and the delicate balance of innovating quickly while maintaining an appropriate level of caution, keeping humans in the loop and at the heart of healthcare. Of course, the patient’s role amid AI’s rising influence must be considered as well. As AI’s presence in healthcare increases, patient perception ranges from enthusiasm to skepticism.
This white paper explores the fundamental pillars that guide AI use in healthcare, examples of AI tools already making a positive impact in the industry, a look at what future AI models might bring, and key regulatory and ethical considerations to keep in mind.
Explore:
- Inovalon’s AI principles and foundational pillars of AI
- Real-world examples of AI driving ROI and better outcomes across healthcare
- Regulatory and ethical considerations
- A look at the future of AI in healthcare
Hear From AI & Clinical Experts
We asked our experts how AI can help improve the patient and provider experience and make healthcare more human - and what to keep in mind as our industry continues to adopt AI tools.
Improving the Provider and Patient Experience With AI
Explore the potential for AI to improve the core of our healthcare system – the patient-provider interaction – with Kate Marta, VP of Clinical Quality, Training, Oversight, and Innovation at Inovalon.
AI in Healthcare: Key Principles, Misconceptions, and the Human Touch
Every AI model exists to support, never replace, skilled professionals in the work they do to deliver patient care. So, how can healthcare teams find the right balance of AI and human expertise? And what’s the #1 thing to keep in mind? Rachel Stemerman, MPH, Ph.D., Senior Principal Product Manager of Data Engineering and AI Platform at Inovalon shares that “AI reflects us. It reflects our decisions, good or bad; the data we put in, biased or not.”
