How predictive analytics can improve patient care and health outcomes — 4 takeaways from ConcertoCare and MedeAnalytics

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Digital patient engagement has long been discussed in healthcare, but it took the COVID-19 pandemic to really drive the broad implementation of solutions.

In the last year, providers and payers alike have adopted technologies — from telehealth and remote patient monitoring to predictive analytics — that are improving care for all patients.


During a MedeAnalytics-sponsored August webinar hosted by Becker's Hospital Review, a panel of patient engagement experts discussed ways predictive analytics have improved patient care and health outcomes. The panelists were:

  • Andy Dé, vice president of go-to-market (GTM) strategy and marketing, MedeAnalytics
  • Amy Flaster, MD, chief medical officer (CMO), ConcertoCare
  • Brian Davis, MD, senior vice president, care partners, ConcertoCare

Four key takeaways: 

1. The COVID-19 pandemic triggered disruption in healthcare, driving increased focus on digital patient engagement. During the pandemic, the need to deliver high-quality patient care at scale and increase caregiver efficiency and productivity, all while keeping caregivers safe, were key drivers of digital patient engagement. Another driver was addressing the needs of COVID-19 patients, many of whom had comorbidities that put them at increased risk. "COVID-19 truly has been the disruptor in healthcare," Mr. Dé said, adding that the pandemic drove the digital transformation "that the healthcare industry has been talked about for a very, very long time."

2. Predictive analytics and artificial intelligence can be leveraged to improve population health outcomes. Population health management aggregates patient data from multiple healthcare IT resources into a single, actionable patient record to improve both clinical and financial outcomes. 

Measurable analytics, like those provided by MedeAnalytics, improve outcomes and help providers strengthen their revenue cycle and operational performance. "This drives lower costs, greater efficiencies and improved quality and outcomes," Mr. Dé said. For payers, analytics lowers per-member per-month medical costs, reduces inpatient admissions, lowers treatment costs, increases revenue and improves proactive identification of at-risk members.

3. ConcertoCare leverages analytics to offer a single integrated care model. "The healthcare system often fails our seniors, particularly those who have more complex needs and those from underserved groups," Dr. Davis said, regarding the population that ConcertoCare serves. To address this, ConcertoCare offers a single integrated clinical care model by leveraging intensive in-home care for all patients, comprehensive multidisciplinary care, remote patient monitoring, geriatric clinical reasoning, social determinants of health and ConcertoCare's integrated data analytics platform, Patient3D®

4. Patient3D® is the backbone of ConcertoCare's scalable analytics approach to care. ConcertoCare's homegrown Patient3D® solution provides a full view of each patient's history, using predictive analytics to determine what is likely to be needed by the patient. Patient3D® combined with the MedeAnalytics solution, enables the provider to pull in data from multiple sources including social determinants of health (SDOH), proactively predict and stratify patients based on risk, and deliver summarized data at an additional reporting level for executives to monitor and manage teams and help drive clinical outcomes. 

The information and reports are also shared with external care management teams, ensuring that everyone involved in a patient's care has the same — and best — information to make decisions and provide care. "Part of how we leverage Patient3D® and our MedeAnalytics solutions, is to use the data and the predictive analytics to select the right patients for interventions and tailor the interventions to the patient to assure superior patient outcomes," Dr. Flaster said.

To view this webinar, click here.

To register for upcoming webinars, click here

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