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Leveraging Healthcare Data To Support Patient Engagement

By Ajinkya Shetty - November 21, 2018

The healthcare industry today is undergoing a rapid upheaval due to digital transformation and the shift towards value-based care. In the face of rising medical costs, the need to improve patient engagement is at the forefront. Healthcare organizations are struggling with core patient compliance problems such as lack of patient education and adherence to medication. Patients nowadays expect the same service from healthcare providers from other consumer-driven companies, like Uber or Netflix. It has become vital for providers to ensure that patients are given the right to participate in the complete cycle of the care continuum.

Patient dis-engagement is estimated to consume half a trillion dollars, of which $290 billion is due to lack of adherence to prescribed medication alone, leading to about 10% of hospitalizations and 125,000 preventable deaths annually in the U.S.¹ (Reh G, Thomas S and Kumar N, March 2016, Improving medication adherence) Given patients don’t stick to treatment plans, non-adherence cuts into quality and outcomes and raises healthcare costs. Having a provider educate patients proactively about preventive care or schedule screening appointments strengthens the patient-provider relationship and improves care quality. However, the bigger problem is not the troubling slate of statistics themselves but the unavailability of reliable data to engage patients effectively. The challenge here is the lack of a unified healthcare data platform connecting multiple healthcare data sources.

Plenty of data analytics companies today deploy several ways to tackle the patient engagement problem, demonstrating solid evidence for identifying interventions. For example, analyzing consumption and claims data can highlight a patient segment that tends to skip doses during the first month of treatment and abandon therapy entirely within 6 months.² (Fox B, Hichborn J, Kaganoff S, and Subramanian N, August 2017, A 360-degree approach to patient adherence) Using innovative and scalable conversational technologies, patients and providers can communicate around key health experiences like patient education, risk assessment, appointment reminders, activity monitoring through the entire pre-operative to post-discharge lifecycle. Leveraging insights through data analytics, care teams can prepare personalized statistical models and thereby take necessary measures to engage patients in decision-making. With a background and experience in data engineering, Clairvoyant LLC uses advanced analytical insights to produce a consistent stream of information that can help health systems unravel personalized interventions and barriers in medication non-adherence.

As Healthcare platforms are guiding patients through their entire journey of care, from pre-surgery to recovery, the key to creating an impactful, consumer-focused environment is to create personalized experiences, not just more experiences, for socioeconomic gains. Encouraging patients to participate in their care can result in better preventive care and improved medication adherence. In the right, competent data partner’s hands, big data can power member engagement tools that improve patients’ health and drive stronger health plan performance through cost reduction. Clairvoyant can provide a unified data platform to leverage patient engagement initiatives fully and fully deliver patient-centric care.

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¹ Reh G, Thomas S and Kumar N, March 2016, Improving medication adherence. Retrieved from: https://www2.deloitte.com/content/dam/Deloitte/us/Documents/life-sciences-health-care/us-dchs-medication-adherence-022516.pdf

² Fox B, Hichborn J, Kaganoff S and Subramanian N, August 2017, A 360-degree approach to patient adherence. Retrieved from: https://www.mckinsey.com/industries/pharmaceuticals-and-medical-products/our-insights/a-360-degree-approach-to-patient-adherence

AthenaHealth, 5 Elements of a Successful Patient Engagement Strategy. Retrieved from: https://www.athenahealth.com/whitepapers/patient-engagement-strategies

Heath S, The 3 Building Blocks Supporting Patient Engagement Strategies. Retrieved from: https://patientengagementhit.com/features/the-3-building-blocks-supporting-patient-engagement-strategies

Ajinkya Shetty

Tags: Data Engineering

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