A Year In Review – Our Top Blogs from 2017
As snow starts to fall across the country and temperatures decline, winter and 2018 are here! 2017 was a busy year for the healthcare industry, from the new administration, ground breaking treatment advancements, the potential of artificial intelligence and most recently, the CVS and Aetna health merger. 2017 has also been a busy year for us at MedeAnalytics with new hires, customer announcements, speaking sessions and more! As we gear up for the new year, we’re looking back and highlighting our top three blog posts from 2017:
Meet MedeAnalytics’ new CEO, Paul Kaiser – In May, we were excited to announce our new CEO, Paul Kaiser, and in June, we had a chance to connect with him to learn more about his background, his company observations thus far and his future plans for the company. Our blog outlines the opportunities our CEO sees for Mede clients and how we can continue to support them amidst the everchanging healthcare landscape.
Enterprise Analytics and Beyond: A Q&A with our Vice President of Healthcare Provider Solutions – In March, our blog explored top provider concerns and offered insight from a Mede executive on the challenges that lay ahead and continued importance of investing in an Enterprise Analytics (EA) strategy. The post outlined proactive approaches for providers to take to ensure a seamless EA strategy, including training and educating clinical leadership, establishing realistic goals and empowering self-service. The post concluded by outlining how analytics’ role in reporting and identifying care and cost improvement opportunities will only grow in importance in the years ahead.
Driving Enterprise-Wide Change by Breaking Down Data Silos and Creating a Data-Driven Culture – At this year’s Big Data & Healthcare Analytics Forum MedeAnalytics’ client, Soyal Momin, Vice President of Data & Analytics at Presbyterian Healthcare Services, discussed how, thanks to a partnership with MedeAnalytics, the organization was able to harness their data and adopt a data-driven culture across their organization. During his presentation, Soyal outlined how the approach promoted outcome-driven clinical excellence and allowed the organization to achieve ROI in the clinical, operational and financial areas within their enterprise. Soyal will also be speaking at HIMSS18 this year and we can’t wait to hear his presentation!
2018 will bring a lot of exciting changes to both the healthcare industry and MedeAnalytics! Make sure to stay up to date on industry and Mede happenings via our blog and follow us on Twitter and LinkedIn. Interested in learning how MedeAnalytics can support your organization in the new year? Contact us here.
Get our take on industry trends
Why managed Medicaid/Medicare health plans need analytics to improve outcomes
Managed care organizations that provide healthcare services to Medicare/Medicaid members are dedicated to improving the health and wellness of these underserved populations, especially those living in rural areas.
Read on...
Using consumer analytics to steer health-related decisions
Companies tap into what people like to eat and drink, how we purchase consumables, where we like to shop, what shows we might like to stream, whether we vote, and so on. If you have ever created a profile on a streaming application (think Netflix or Amazon), you will receive recommended books, movies and other items just as soon as you start surfing.
Read on...
Run: Bringing Data Science into your Organization
In this three-part series, we’ve been detailing a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl and Part Two: Walk, we discussed how to get started from scratch and start building out a dedicated data science program. Today, we’ll dive into the third and final phase to see how to grow quality, centralize governance, incorporate user feedback, and more.
Read on...
Walk: Bringing Data Science into your Organization
In this three-part series, we’re exploring a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl, we discussed how to get started from scratch. Today in Part Two: Walk, we’ll address issues that may emerge and how to overcome them, how to build out a dedicated data science team, and more.
Read on...