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Learn how AI can help HCOs to streamline telehealth offerings, leverage telehealth to improve resource allocation, and enhance patient engagement. Discover how AI can help to predict which patients are most likely to experience adverse events, surface specific risk factors, and optimize remote interactions.

Automatically ingest data from dozens of health data sources including...

ADT Records

Data from Admit, Discharge, and Transfer feeds and patient data notification services that synchronize patient demographic, diagnostic, and visit information across healthcare systems.

Medical Claims

Data extracted from health insurance medical claims with details about dates and place of service, diagnosis codes, key procedures, use of medical equipment, and provider specialties.

Rx Claims

Data extracted from health insurance pharmacy claims with details about each medication and its type, fill dates, days supply, pharmacy location, and prescribing clinician.

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ClosedLoop generates explainable predictions using

thousands of auto-generated, clinically relevant contributing factors

Cade Rider
63-Year-Old Male
Risk of Rapid Heart Failure Progression in the Next 12 Months
Risk Score Percentile
Impact on Risk  |  Contributing Factor
+24% | # of Acute Decompensated HF Admissions (6M)
+19% | Decline in LV Ejection Fraction
0.45 to 0.35
+14% | Adherence to Loop Diuretics
+12% | Reported Barriers to Care

What Is Telehealth?

Telehealth is expanding access to care and transforming patient engagement. It is estimated to represent over $250 billion in potential savings for the healthcare system, encompassing all health services and care facilitated remotely via digital technologies.¹ Telehealth provides patients with the means to engage with physicians more immediately and regularly, overcome location-related barriers to care, and it presents a key opportunity to improve chronic condition management and healthcare resource allocation. 

Why It Matters

Telehealth is cost-effective and frequently able to address patient health needs without escalation to more resource-intensive services. Approximately $200 in cost savings is attributed to telehealth per episode of care due to reduced utilization, and roughly 83% of initial telehealth visits are able to resolve health issues.²⁻⁴ Moreover, telehealth enables patients in underserved and rural areas to more easily connect with their primary care physician and potentially access in-demand specialists. Rather than delaying examinations and care until a scheduled appointment, telehealth allows for access to health resources at any time and from any location. 

Telehealth is increasingly becoming table stakes. Virtual appointments now account for approximately 20% of all visits, and more than three in five patients would consider them to avoid a wait of any length.⁵ Critically, this opportunity to increase convenience doesn’t mean patients will settle for reduced quality of care. 42% of patients would consider switching providers if they didn’t provide telehealth experiences aligned with their expectations. 

The integration of telehealth applications with existing workflows is lagging dramatically despite its growing importance. More than half of physicians report that telehealth is not integrated with their electronic health records. 50% also report using multiple disconnected telehealth platforms to engage with patients.⁵

AI Presents an Opportunity

To realize the full potential of telehealth, HCOs must ensure it is comprehensively integrated with all patient data sources, existing workflows, and AI-driven analytics. This synthesis helps care teams effortlessly surface individual patient health data, ensure coding and clinical documentation improvement during virtual visits, and personalize digital engagements. Further, AI-based models can accurately predict which patients are most likely to experience adverse events and surface the specific risk factors assessed in making predictions. This enables HCOs to better conduct virtual appointments, triage patients remotely to streamline utilization, and individually tailor interventions to improve outcomes.

Did You Know…

  • 76% of patients are interested in using telehealth to engage with HCOs¹
  • Up to 175 times as many annual telehealth visits were conducted following the pandemic¹
  • 20% of all healthcare spending is estimated to be potentially avoidable via telehealth utilization¹ 
  • Roughly 83% of initial telehealth visits are able to resolve patient health issues²
Citations & Footnotes

1. Bestsennyy, Oleg, et al. “Telehealth: A Quarter-Trillion-Dollar Post-COVID-19 Reality?” McKinsey & Company, 29 May, 2020. https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/telehealth-a-quarter-trillion-dollar-post-covid-19-reality. Accessed 8 Jun. 2021. 

2. Wiesen, Jonathan. “Specialty Telehealth Expands the Value of Medicare Advantage.” Patient Safety & Quality Healthcare, 1 Sep. 2020. https://www.psqh.com/analysis/specialty-telehealth-expands-the-value-of-medicare-advantage/. Accessed 8 Jun. 2021.

3. “Health Policy Brief - Realizing the Potential of Telehealth: Federal and State Policy Is Evolving to Support Telehealth in Value-Based Care Models.” Deloitte Centers for Health Solutions and Regulatory Strategy, 23 Aug. 2016. Accessed 8 Jun 2021.   

4. Yamamoto, Dale H. “Assessment of the Feasibility and Cost of Replacing In-Person Care With Acute Care Telehealth Services.” Dec. 2014. Accessed 8 Jun. 2021. 

5. League, John. “Executive Briefing: What Health Tech Leaders Need to Know About Telehealth.” Advisory Board, 18 May 2021. https://www.advisory.com/topics/telehealth/2021/05/what-health-tech-leaders-need-to-know-about-telehealth. Accessed 8 Jun. 2021.

ClosedLoop is an exciting and important partner in our strategy to develop timely predictive insights through operationalized AI solutions that will drive member engagement and better health outcomes.

Pat Wang
President & CEO, Healthfirst

Our partnership with ClosedLoop adds the depth of AI to more accurately identify those patients who are most likely to benefit from our primary care interventions as well to evaluate these interventions and make more relevant and timely modifications to improve their effectiveness.

David Klebonis
Chief Operating Officer, PBACO

We are extremely impressed with the predictive modeling capabilities the ClosedLoop platform has delivered. The ClosedLoop team has exceeded all defined goals and benchmarks set to date and we anticipate a substantial return on our investment as these predictions are operationally deployed.

Cheryl Lulias
President & Executive Director, MHN

We’re able to store and operationalize analytics directly from ClosedLoop. That’s driving real value—it’s accelerated the implementation of key insights into clinical workflows and it allows us to more easily account for all of the different factors that influence intervention decisions.

Christer Johnson
Chief Analytics Officer, Healthfirst

At SWHR, our patient-centered network is committed to innovative care models that are value-based, high-quality, and data-driven. Because of our partnership with ClosedLoop, we’re better able to identify and act on the most impactful opportunities for our physician partners to improve patient results and reduce unnecessary costs.

Dr. Jason Fish
Chief Medical Officer & SVP, Southwestern Health Resources

We compared the ClosedLoop predicted spend to the spend predicted by a leading rules-based risk prediction engine and found that 75% of the time ClosedLoop was closer, and in most cases significantly closer, to the actual spend.

Phillip Bruns
Chief Technology Officer, CareATC

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