During an August webinar hosted by Becker’s Hospital Review, patient engagement experts from ConcertoCare joined me to discuss the ways predictive analytics have improved patient care and health outcomes. If you’re not familiar with ConcertoCare, the organization is a value-based provider of primary and complex care for people with unmet health and social needs. The panelists who joined me were:
- Amy Flaster, MD, Chief Medical Officer, ConcertoCare
- Brian Davis, MD, Senior Vice President, Care Partners, ConcertoCare
I was eager to sit down with these panelists for two main reasons: (1) ConcertoCare is a valued partner of MedeAnalytics and (2) it employs a human-first, tech-enabled approach to healthcare delivery that raises the bar for patient experience, respect and wellbeing across the industry.
A not-so-secret third reason is that I love what the organization name represents. A concerto is a conversation between the soloist and the orchestra. In healthcare terms, the patient is the soloist and ConcertoCare strives to be the orchestra — supporting the patient’s care and wellbeing in every note.
For those who only have time for a quick recap – or prefer reading to watching – I wanted to highlight a few key takeaways that Drs. Flaster and Davis shared as keys to their organization’s success:
- Center patient’s autonomy, values and personhood with an individualized approach to needs
- Hire multidisciplinary care teams who are mission-driven, compassionate and representative of the communities they treat
- Address social determinants of health and health equity to provide holistic, meaningful support to patients and their loved ones or caretakers
- Integrate technology thoughtfully and intentionally to guide decision making, predict patient needs and ensure the best outcomes
A quick note regarding the technology mentioned in #4: Dr. Davis explained how ConcertoCare has developed an incredible homegrown solution that leverages predictive analytics, time-saving workflows and other important capabilities to support the needs of both clinicians and patients. To augment and get the full value out of that solution, ConcertoCare also relies on MedeAnalytics to normalize, summarize, and understand their data. This partnership provides ConcertoCare’s leaders with the feedback and reports they need to refine algorithms, improve efficiency, adjust scoring systems, and – most importantly – ensure positive patient outcomes.
For those wondering, Dr. Flaster defined positive patient outcomes as ones that:
- Reduced unnecessary admissions, readmissions, and ER visits
- Closed gaps in care quality and equity
- Improved patient performance in health behaviors – e.g., medication adherence
- Satisfied the patient and their caregivers (ConcertoCare’s NPS is 96!)
Once again, I am honored to have had the opportunity to sit down with Drs. Flaster and Davis of ConcertoCare to discuss their impressive, analytics-powered advancements in patient care and population health. To learn more, I encourage you to:
- Watch the webinar recording
- Read the ConcertoCare case study
- Contact the MedeAnalytics team.
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...