Basic statistical models can generate predictions for human behavior based on past actions--and that level of insight is good enough for many industries. In healthcare however, we need more. In this clip, Matt Hanauer, Ph. D., describes explainable AI--a newer innovation that leverages machine learning models to not only enhance the accuracy of predictions but also describe WHY trends are occurring. With this deeper understanding of which factors are at play, providers and payers can deliver targeted, accessible interventions.
MedeAnalytics
软件开发
Richardson,TX 11,314 位关注者
Enabling measurable analytics impact for healthcare payers and providers
关于我们
With over 30 years in the industry, MedeAnalytics is a leader in healthcare analytics. Using a data fabric enabled cloud platform, our SaaS solutions run on cutting-edge innovation and enable measurable impact for healthcare payers, providers and payviders. With the most advanced data orchestration and interoperability in healthcare, organizations count on us to deliver actionable insights that improve financial, operational and clinical outcomes. To date, we’ve helped uncover millions of dollars in savings annually.
- 网站
-
https://medeanalytics.com/
MedeAnalytics的外部链接
- 所属行业
- 软件开发
- 规模
- 201-500 人
- 总部
- Richardson,TX
- 类型
- 私人持股
- 创立
- 1993
- 领域
- analytics、performance、healthcare、clinical、financial、consulting、compliance、patient access、financial performance、payer-provider transparency、dashboards、scorecards、revenue cycle、accountable care organizations、Healthcare AI、Data activation、Enterprise Performance Management、health equity和SDOH
地点
-
主要
501 W President George Bush Highway
Suite 250
US,TX,Richardson,75080
MedeAnalytics员工
动态
-
Veterans Day honors all military veterans of the United States Armed Forces. Discover more about this important day and join us in expressing gratitude: https://lnkd.in/dtFCEjH6 Veterans, thank you for your service, commitment, and dedication.
-
Value-based care models are gaining popularity, but 86.4% of physicians still received revenue via fee-for-service arrangements in 2022*. No matter what payment methods your practice is using, you can take simple, important steps to expand community outreach and improve population health outcomes. *source: https://lnkd.in/gkC_9WrC ?? Christine Stetler shares more:
-
Tricky data? Let us treat you to a complimentary analytics consultation. Book yours: https://lnkd.in/gWREPMaj
-
??? Have you moved to CMS-HCC V28? V24 will be fully phased out for 2025 dates of service, so there is no time to waste. Learn what impact this new risk adjustment model is having on the industry and how you can skillfully navigate the transition from V24 to V28: https://lnkd.in/eEHaD62V
-
True to her tagline, "nosy by nature," Christine scoured 5 years of denials data to find out where providers are leaving dollars on the table. Get her take on stratifying denials by resolution impact and building a resource-efficient revenue cycle. Want more on revcycle management? Start here: https://lnkd.in/eiUMgVac
-
Join us TODAY for a new Impact Initiative Live! This highly-anticipated session will share practical advice and strategies for using data visualization capabilities to drive action. In just 30 minutes, you'll learn how to: ?? Craft compelling visualizations to communicate complex data ?? Deliver engaging verbal narratives to amplify your visuals ?? Make analytics accessible and actionable at every level Register now to start enhancing your data storytelling skills: https://lnkd.in/gaTyTkx4
-
We've added another feather to our cap, #OneMede! Because of your innovation and hard work, we've been recognized as a 2024 Best and Brightest Companies to Work For. Only companies that distinguish themselves as having the most innovative business acuteness and human resource practices can be bestowed this honor. Way to go, #OneMede!
-
Basic statistical models can generate predictions for human behavior based on past actions--and that level of insight is good enough for many industries. In healthcare however, we need more. In this clip, Matt Hanauer, Ph. D., describes explainable AI--a newer innovation that leverages machine learning models to not only enhance the accuracy of predictions but also describe WHY trends are occurring. With this deeper understanding of which factors are at play, providers and payers can deliver targeted, accessible interventions.
-
Our own Katie O. will be at #HLTH next week -- You'll want to hear what she has to say. Let us know if we can connect you!
So thrilled to be heading to the #HLTH conference next week! Excited to connect with fellow attendees from my network. Looking forward to sharing the latest updates on MedeAnalytics innovative solutions and recent successes ?? ?? In addition, I'll be joining the WBL (Women Business Leaders of the US Health Care Industry Foundation) Networking event on Monday. Can't wait to catch up with everyone there!