AI/Machine Learning Archives

Healthcare leaders increasingly realize the tremendous potential in artificial intelligence (AI) and analytics to deliver on the promise of high-quality care at a low cost. These innovations provide essential opportunities to empower executives, business leaders, clinicians and nurses with the power of predictive and prescriptive analytics to inform their decision-making. Many healthcare organizations are seeking…

Our annual Impact Summit is a chance for leaders from our client organizations around the nation to join together to share their successes and gain guidance for the coming year. At our most recent Summit, our exceedingly impressive clients celebrated the wins that they’ve experienced through collaboration with MedeAnalytics. After each of the presentations, attendees…

Throughout my career as a data scientist, I’ve been lucky enough to have a few opportunities to build data science teams, processes, and models from the ground up. Introducing data science into your organization can feel overwhelming, so I’ve put together some recommendations to help you along the way. While it’s incredibly tempting to jump…

This post is the fourth and final of our Digital Health series, featuring healthcare visionary and thought leader Andy Dé. In this series, Dé has been discussing how COVID-19 has triggered remarkable digital transformation and uncovers five long-term innovation implications that providers, healthcare leaders, and payers need to consider.

This post is part three of a new series featuring healthcare visionary and thought leader Andy Dé. In this series, Dé discusses how COVID-19 has triggered remarkable digital transformation and uncovers five, long-term innovation implications that providers, healthcare leaders, and payers need to consider.

healthcare visionary and thought leader Andy Dé discusses how COVID-19 has triggered remarkable digital transformation and predicts how healthcare delivery will likely change as a result. Follow along the next few weeks as Dé uncovers five long-term innovation implications that providers, healthcare leaders, and payers need to consider.

The idea of having a crystal ball to better understand what claims will be denied is an awesome concept. But one we can’t rely on. Thankfully, we have predictive analytics to take the place of a crystal ball.

With 2020 two weeks old, it’s becoming clear the data produced in the healthcare industry by providers, consumers and payers will power and propel our 9 megatrends. Healthcare data is the foundation on which we’re building everything from healthcare outreach for the underserved to new Internet of Things-based healthcare programs to treatments designed just for you.

Many challenges face healthcare’s underserved. There are issues with food, housing, reliable transportation, steady employment and more. Each contributes to and is one element of social determinants of health (SDH). In communities around the world, public and private organizations are taking steps to address SDH-related issues and challenges that negatively impact healthcare.

Healthcare providers continue to recognize the value of using AI in reporting operations throughout the organization. AI has many strengths when applied to the healthcare industry:

AI/Machine Learning

Five predictions for healthcare analytics and AI

You asked, ConcertoCare answered: Impact Summit session Q&A spotlight

Crawl: Bringing Data Science into your Organization

The future of digital health part 4: Convergence of AI and analytics for healthcare payers

The future of digital health part 3: AI, machine learning and robotics

The future of digital health part 1: Are you prepared for what’s on the horizon?

Crystal ball not necessary: predictive analytics helps health systems reduce denials

2020 Megatrends: Consumerism, Data Privacy and Security, AI

Why Social Determinants Need Analytics for Success

Healthcare Organizations Recognize Importance of AI for Reporting