Meet MedeAnalytics’ new CEO, Paul Kaiser
Last month, Paul Kaiser was appointed as the new CEO. In his first few weeks, he focused on meeting with our teams and clients. We caught up with Paul to hear more about his background, what he’s observed so far and what he hopes to accomplish in the year ahead:
Can you share more details about your experiences prior to Mede?
Over the past 14 years, I’ve held several roles on the provider (Cerner), payer (TriZetto) and middle (TriZetto Provider Solutions) sides of healthcare. This afforded me a unique first-hand view of the healthcare value-chain, and where that chain diverges and converges. Having both perspectives is enormously important in a market where these sides come together to administer better healthcare in a value-based reimbursement market. Mede has long served both markets so I’m thrilled that I get to share my experience as well.
In the first month that you’ve been at Mede, what have you seen and what are you most excited about?
The commitment of our team is unparalleled. The desire to make a difference and contribute to our client’s success is nothing like I’ve ever seen. This is what makes Mede a truly exciting place. When you combine really smart people with a commitment to make a difference, the possibilities are endless.
It has also been incredible to see and hear about the immense value we’re driving for our clients. The feedback about our technology, the business impacts we are having within our client’s organizations and the future vision for how they will be using MedeAnalytics to create analytics-driven culture change is overwhelmingly positive. We have an incredible client base. It’s very exciting to see the value in the data we’re providing clients and how that is helping them cross the chasm to performance-based management cultures.
Finally, the product and technology teams’ work to develop a world-class big data platform is amazing. The amount of data we process and turn into value-driving data visualizations and actionable workflow is incredible. To be at a company capable of making such material contributions to our clients’ success is energizing.
What do you see as the biggest opportunity for Mede clients?
From my years seeing both the provider and payer perspectives, it is clear to me that very few organizations are driving their businesses and operations from an enterprise, data-driven level. For example, you often see C-suite leadership in a hospital or health system establish a vision for the enterprise and from that direction, teams will create initiatives designed to achieve those goals. But once goals are established, there is little real-time intervention or progress monitoring. This means that organizations typically don’t realize something is off-course until the reporting phase. However, if an organization can tie data analytics from across the enterprise together, it can observe and influence results in real-time, allowing the organization to course-correct and deliver on initiatives from the department to the individual level. Data-driven performance management is the only route to optimal success in today’s market.
What are Mede’s top priorities in the coming year?
We work with the largest healthcare solution providers and health systems in the country, and they are depending on us. We need to be stellar and deliver on our commitments.
We also want to ensure scalability and stability for our clients via our platform. As we look towards Mede’s next phase, our focus will be to continue delivering a high-performing technology platform that can scale in the market. We also want to enable client-led innovation by extending configuration and integration layers to our clients as well as third-party certified business partners.
How do you see MedeAnalytics growing and/or evolving to support clients amidst an everchanging healthcare landscape?
Change is the one constant in healthcare. Whether it is through government or regulatory shifts, moving away from fee-for-service to alternative payment models or performance-based reporting with MACRA and MIPS, change is certain. Whenever an organization tries to respond to change and create new business strategies, it needs data and analytics to make smart decisions. Organizations also need to be more performance oriented to optimize health outcomes based on real data. Mede can be a part of that. Regardless of whether the government decides to keep the Affordable Care Act in place or implement some other version, from a data analytics perspective, we are in a great positon to support our clients with the tools to be nimble and make strong, smart, data-driven decisions.
Building a better community through better health with Mede/ACTS
Interest in employee-sponsored volunteering programs is on the rise. According to a 2016 National Study on Satisfaction at Work, employees are drawn to employers who support charitable causes and community volunteering. In turn, employers are recognizing their role in spearheading philanthropic efforts. We recently connected with our very own Eric Roth, VP of Human Resources, to hear how MedeAnalytics approaches volunteerism in the workplace.
As a company dedicated to promoting employee wellness, MedeAnalytics launched Mede/ACTS in 2016, an initiative that helps give back to local, charitable organizations. Building off a previously existing wellness program, Mede/ACTS combines physical and community wellness into one. The premise is simple, but powerful: for each physical activity Mede employee’s complete – whether it’s yoga, biking, or kickboxing – senior leadership matches their efforts by contributing $1 for every 10,000 steps and for every 60 minutes of exercise that has been logged into wearables, fitness apps and FitBliss, a health & wellness technology platform available to all Mede employees. All the raised funds are donated to the charity of Mede/ACTS’ choice. Each quarter the charity varies; the Mede/ACTS committee selects charities that are nominated by Mede employees.
Driving Enterprise-Wide Change by Breaking Down Data Silos and Creating a Data-Driven Culture
This year’s Big Data & Healthcare Analytics Forum brought together payers, providers, government and academia decision-makers who shared their successes and lessons learned from their transition to value-based care. Of the many thought leaders who participated in the discussion, our client, Soyal Momin, Vice President of Data & Analytics at Presbyterian Healthcare Services (PHS), presented his abstract, “Eliminating Data Silos and Driving ROI.”
As a large integrated healthcare system consisting of eight hospitals, a statewide health plan and a growing multi-specialty medical group, PHS found it increasingly challenging to oversee its entire business from one integrated view. After investing in an enterprise data warehouse (EDW), PHS continued utilizing several reporting tools from different vendors for each of its business lines that created data silos. For PHS to thrive under the value-based care model, the organization knew they needed to balance their costs, utilization, quality, risk and outcomes. During Soyal’s presentation, he outlined how through their partnership with MedeAnalytics they could strategically differentiate themselves and add value within their integrated data analytics model. To achieve this success, PHS focused on three distinct categories:
- Creating Value for Key Stakeholders – Creating an integrated, enterprise approach, extends meaningful, actionable insights across PHS and to their business users so they’re able to access content, business rules, benchmarks, best-practice analysis and views.
- Integrating Payer and Provider Analytics – Through an enterprise approach to analytics, PHS has an integrated overview into their provider groups and health plan. The insights are extended across financial, operational and clinical areas throughout the provider-side of the organization. For the health plan, they can analyze payer data for cost and utilization.
- Promoting a Data-Driven Culture – Data literacy and data democratization is the foundation for creating a data-driven culture. A key component in creating this was tapping data analysts whose sole job is to gather data and analyze it in a meaningful way to generate results. PHS gave their analysts the appropriate training and mentoring to ensure they were developing a consultative skillset that met the needs of their diverse organization.
PHS has achieved ROI in its clinical, operational and financial areas within their enterprise. Additionally, PHS recognized operational efficiencies by replacing seven analytics vendors with MedeAnalytics, reducing redundancies and achieving quick wins with business stakeholders. More so, PHS expects to save millions in 2017 by improving collection for Medicaid encounters and increasing business development revenue.
Want to Know How to Receive Higher Quality Scores?
In our last webinar, titled: Streamlining Your Quality Processes, our very own Bruce Carver, Associate Vice President of Payer Services, addressed the challenges and strategies needed to ensure health plans were succeeding with quality management. The healthcare landscape, especially for payers, has changed. With the introduction of MACRA and now with nearly 500,000 physicians submitting data towards it, the shift towards value is in full swing. The promotion and adoption of value-based care and the importance of quality outcomes (from NCQA’s Healthcare Effectiveness Data and Information Set (HEDIS) and Medicare’s Star Ratings) has moved quality from a measurement system to an operational workflow. Payers now more than ever need to create a strong quality management program by establishing processes, leveraging data and establishing best practices to properly benchmark and track their progress.
Bruce outlined the common challenges health payers face when achieving a successful, streamlined quality management program. The challenges range from inaccessible, inaccurate data to inefficient processes and workflows. The bulk of these challenges can be alleviated with organizational processes and analytics which create checks and balances to ensure quality management programs are moving in the right direction.
Today, achieving high-quality outcomes requires an all-hands on deck, year-round effort. To work towards these programs, there are a few stepping stones that will enable health plans to implement effective processes of measurement. Here are some of the key components to quality improvement:
- Continuous, objective, and systematic process for monitoring and evaluating key indicators of care and service
- Identification of opportunities for improvement
- Development and implementation of interventions to address the identified opportunities
- Re-measurement to demonstrate effectiveness of program interventions
Data Democratization at the Heart of Health Datapalooza 2017
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.