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Posts in "clinical-data-infrastructure"
  • Mississippi Division of Medicaid Remains the First to Establish Clinical Data Exchange

    September 20, 2017 Editorial Team in Big DataClinical Data InfrastructureElectronic Health RecordsFeaturedMedeAnalyticsMedicare/Medicaid

    Each year, state Medicaid leaders from all over the country gather at the Medicaid Enterprise Systems Conference (MESC) to talk about the role of technology in meeting Medicaid and industry initiatives, like value-based care. Our client, Mississippi Division of Medicaid (DOM), spoke on their use of the consolidated clinical document architecture (C-CDA) standard to coordinate care and improve outcomes for their Medicaid beneficiaries. DOM is the first Medicaid agency in the nation to establish clinical data exchange with healthcare providers to directly benefit patients and physicians at the point of care. DOM has successfully exchanged data with University of Mississippi Medical Center (UMMC) which resulted in more than two million clinical summaries. They also recently partnered with Hattiesburg Clinic and shared more than 100,000 clinical summaries.

    To achieve this level of connectivity, DOM faced many challenges such as differences in vendor implementation of industry standards and providers’ use of unexpected medical codes. We connected with Ian Morris, Project Manager for the State of Mississippi DOM, to get his take on the overall lessons learned from this project and what fellow government organizations need to keep in mind for similar undertakings. Here are three key takeaways:

    1. Rely on Vendors’ Expertise – DOM would not be able to achieve this level of success without qualified vendors who have the expertise to develop and support the technology infrastructure and needs of real-time data exchange for hundreds of thousands of beneficiaries.
    2. Be Realistic – These projects are time and labor intensive and can take years to achieve. Be patient and work around your trading partner’s various schedules and technologies.
    3. Collaborate – Every stakeholder has different end-goals but these projects are a joint effort. This means that the conversation needs to move away from “my data” and towards “our data” to better coordinate care.

    Looking ahead, DOM plans to continue integration with Medicaid-focused health systems, Health Information Exchanges and state and federal agencies. In fact, just last month they went live with their third clinical data exchange connection – Singing River Health System.

    To learn more on UMMC and DOM’s success, read our announcement here

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  • Data Democratization at the Heart of Health Datapalooza 2017

    May 10, 2017 Editorial Team in Big DataClinical Data InfrastructureFeaturedMedeAnalyticsMedicare/Medicaid

    The 8th Annual Health Datapalooza conference in Washington D.C. brought together a variety of data advocates who focused on how to harness the power of big data and put it into the hands of the people who benefit from it most: patients and providers. As part of the two-day event, one of our clients – Ian Morris, Clinical Data Interoperability Project Manager for the State of Mississippi, Division of Medicaid – presented as part of a panel titled “Health Systems Reaching Out to Patients and Providers.” During his presentation, Morris shared Medicaid’s experience of modernizing their Medicaid infrastructure and empowering real-time data sharing across all of Mississippi. In addition, Morris outlined lessons learned around interoperability and the roadmap for Medicaid’s interoperability efforts in years to come.

    After the conference came to an end, we connected with Morris to discuss his experience at the event and other key takeaways. Morris shares his highlights below.

    1. As a first-time attendee and presenter at Health Datapalooza, what intrigued you most about the event?

    It was refreshing to hear the patient perspective. A lot of the time when you attend conferences that focus on data and analytics, you don’t get the rich patient narrative. However, Health Datapalooza took the imperative to put democratization of health data at the heart of the event. Empowering the physician and patient to take control of the data is what we’re all striving for, and that’s where organizations like Medicaid fit into the narrative. You need to understand the value of data first, and that’s where we – people such as interoperability managers – come into play. We translate that value, and once it’s understood by the provider, it can be shared externally with the patient.

    2. What was a best practice that you learned from your peers and what do you hope to see at next year’s conference?

    There were many presentations at the event that delved into the importance of collaborating between multiple state systems (i.e. bridging the broader health and human services, mental health and advocacy groups together) all for the greater good – improving patient outcomes via better data sharing. Such intricate collaboration efforts made me think of the initiatives Medicaid plans to embark on in the future. If there is one take away, it’s that statewide collaboration is key to better data sharing practices. My hope for next year’s conference is to have more speaking panels that touch upon just this, especially as it relates to interoperability efforts overall.

    3. Other post-conference highlights that you’d like to share?

    Health Datapalooza was full of energetic and enthusiastic data leaders. From patient advocates, to vendors to hands-on project managers, conference attendees and speakers embraced each other’s lessons and shared challenges of their own. Serving as a microcosm of what we’re all striving for in healthcare, Health Datapalooza reminds us that the sharing and analysis of data has a purpose – and that is ultimately to improve patient outcomes.

    To read more about how Mississippi Division of Medicaid became the first Medicaid Agency to exchange clinical data summaries with their providers, read their story here. To learn more about how to act on your data and ensure quality, cost-effective care for Medicaid beneficiaries, visit our Provider Access solution here.

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  • Mississippi Division of Medicaid to Become First Medicaid Agency to Exchange Clinical Data

    April 6, 2016 Editorial Team in Clinical Data InfrastructureClinical Quality & SafetyElectronic Health RecordsMedicare/MedicaidPopulation HealthProvider Engagement

    In March, MedeAnalytics announced that the Mississippi Division of Medicaid (DOM) had become the nation’s first Medicaid agency to send and receive clinical data in real-time. The agency worked with MedeAnalytics and Epic to share Medicaid data with the state’s largest provider of care to Medicaid patients, the University of Mississippi Medical Center (UMMC).

    Following the announcement, Rita Rutland, deputy administrator for the division’s Office of Information Technology Management, and several others associated with the project spoke to HealthLeaders and StateScoop on the topic. If you missed it, here is a glimpse of what they said:

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  • HIMSS16: Revenue Cycle Improvement, Performance Management & Clinical Data Infrastructure, Oh My!

    February 29, 2016 Editorial Team in Clinical Data InfrastructureElectronic Health RecordsMedicare/MedicaidPerformance ManagementPopulation HealthRevenue Cycle

    This week, 43,000 healthcare industry experts, from CEOs to clinicians and IT professionals, will descend into Las Vegas for the HIMSS Conference & Exhibition, the largest event in the health information technology field in the U.S.

    From meeting and networking with health IT expects to keynotes from Sylvia Mathews Burwell, Secretary of Health & Human Services, and Peyton Manning, Quarterback for the Denver Broncos, MedeAnalytics is looking forward to the action packed and educational event.

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  • Six Steps to Success with Population Health

    October 7, 2015 Jason Piele in Clinical Data InfrastructurePatient Engagement & SatisfactionPopulation Health

    Shared accountability agreements create significant financial incentives for providers who capitalize on them. Doing so requires population health management initiatives that systematically improve clinical outcomes while reducing costs.

    Collecting and analyzing data play a crucial role in population health management. With big-picture insight into patient populations and utilization trends, you can focus your care managers on the right patient interventions and seamlessly transition to accountable care—without disrupting clinical workflows.

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