The concept of Precision Medicine has evolved in the last decade with the goal of providing individualized diagnosis, prognosis, and medical treatments based on individual patient's genetic, biological, environmental, and social factors.
While the idea of Precision Medicine may still seem utopian, the recent technological advancements in AI, deep learning, and data analytics refocused the spotlight back on it. Aligned with the concept of Precision Medicine, Precision Insurance Plans are being conceptualized to enable insurance coverage to be fine-tuned to an individual's health risks and needs. As healthcare becomes more personalized, insurance, too, must adapt to offer more individualized coverage.
What is a Precision Insurance Plan?
It is important to understand the concept of Precision Medicine better to understand the Precision Insurance Plan (PIP) since the origins of a PIP are rooted in it. Precision Medicine has evolved as a transformational approach in healthcare to personalize medical treatments based on an individual's unique genetic, biological, environmental, and lifestyle factors. Precision Medicine uses advanced technologies such as genomics, radiomics, radiogenomics, pharmacogenomics, proteomics, etc., and artificial intelligence to analyze complex data combinations and identify the most effective treatment options for each individual. By taking a more precise and personalized approach to healthcare, Precision Medicine promises to transform the way we diagnose, treat, and prevent diseases and to improve human health and well-being.
Similar to Precision Medicine, PIP integrates data from genomics, radiomics, behavioral patterns, and real-time health monitoring to tailor benefits, premiums, and services and offer coverage that is more closely aligned with a policyholder's current and future healthcare needs. Evidently, PIP's approach is contrary to the traditional one-size-fits-all health insurance plans.
How Does Precision Insurance Plan Work?
The functioning of a PIP depends on the processing of extensive health data from a variety of sources, such as electronic health records, genetic tests, wearable devices, social determinants, and imaging modalities. By utilizing advanced AI and data analytics, such data is analyzed to build a comprehensive health profile for each individual. An individual's specific higher-risk conditions are then derived from the individual's health profile. Personalized insurance plans are then developed based on an individual's specific health risks and nuanced insights, adjusting premiums, co-pays, deductibles, and benefits aligned to the individual's health profile. Personalized insurance coverage may include preventive screening, lifestyle interventions, and individualized treatment recommendations. Continuous collection and processing of an individual's data also enable PIPs to adjust the benefits and coverage dynamically as an individual's health profile changes over time. For example, PIP might adjust coverage to include additional cardiovascular screenings if the data from a wearable device indicates heart-related issues.
How Can Insurance Payers Adapt to Leverage Precision Plans?
Insurance payers will need advanced AI, analytics, and predictive modeling backed by cutting-edge data management platforms capable of integrating and processing genetic, radiomic, clinical, pharma, and health data to fully integrate PIPs into their offerings. Unlike traditional insurance plans that employ actuarial science to determine premiums, benefits, and coverage thresholds, PIP requires actuarial science augmented with AI and data science-driven approaches to develop individualized risk-based pricing and coverage models that get continuously re-evaluated to sync with real-time changes to the policyholder's health profile. PIPs are expected to cover individualized preventive care options, genetic testing, and potentially access to specialized treatments that address an individual's risk factors derived from various omics. For example, an individual's type 2 diabetes risk could fluctuate based on the individual's lifestyle and genetic predisposition. In such cases, payers might adjust PIP benefits to offer lifestyle coaching or cover glucose-monitoring devices in real-time. Effectively, the dynamic nature of PIP requires payers to develop AI-driven solutions incorporating various omics that can continuously reassess health risks and adjust coverage accordingly.
How Can CMS Support and Promote Precision Insurance Plans?
The Centers for Medicare & Medicaid Services (CMS) play a defining role in promoting PIPs by creating a supportive environment as suggested below:
- CMS can establish interoperability standards to enable seamless data exchange between healthcare providers, insurers, and patients, supporting the use of genomics, radiomics, and other health data in insurance plans.
- CMS can lower PIP adoption barriers for payers, patients, and providers by incentivizing genomic testing and secure collection of associated genetic data. For example, CMS can facilitate early adoption of PIP features such as genomic testing by incentivizing Medicare Advantage plans through pilot programs.
- CMS can establish ethical use guidelines and compliance regulations for genetic data to ensure privacy protections.
- CMS can use PIPs as a vehicle for ensuring equitable benefits for Medicaid and other vulnerable populations.
- CMS can align PIPs with Value-Based Care initiatives by incentivizing Accountable Care Organizations to integrate PIPs.
- CMS can provide grants and required resources to accelerate the research and development of precision healthcare solutions.
What role do AI and Data Analytics Play in Precision Insurance Plans?
AI, data analytics, and digital technology are the backbone of precision insurance. Advanced AI, including multimodal Generative AI models, enables genomics, radiomics, radiogenomics, pharmacogenomics, and proteomics to uncover an individual's genetic and biological risk markers defining an individual's specific health profile. The high-risk conditions uncovered from an individual's health profile would enable insurers to offer tailored plans. Besides, patient wearables and IoT devices allow for continuous health monitoring. Advanced AI-driven omics models can consume such real-time data to re-evaluate an individual's risk markers and re-estimate an individual's health profile. Such re-assessment of an individual's health profile enables payers to adjust PIP benefits and coverage in sync with the individual's re-calibrated risk markers.
What are the Key Advantages and Limitations of Precision Insurance Plans?
The following are the key advantages of PIPs:
- PIPs enable insurance payers to offer more individualized risk-based health insurance coverage, reducing the associated costs and driving value-based care. In addition, insurance payers can realize long-term cost reductions because of enhanced individualized preventive care and early interventions.
- Policyholders can benefit from insurance coverage personalized to their specific health risks and needs, which helps them with better health outcomes, access to preventive care, reduced out-of-pocket costs, and overall improved quality of life.
- Providers can offer more personalized care aligned with precision medicine supported by patients' insurance benefits, improving treatment outcomes while reducing their share of healthcare costs. Precision insurance can also encourage collaboration between providers and insurers to offer more preventive services.
The following are the crucial limitations:
- The high upfront cost associated with operationalizing PIPs can become a barrier to adoption for both payers and providers.
- Privacy concerns can become paramount for policyholders, particularly regarding genetic data, resulting in trust and adoption barriers.
Conclusion
PIPs represent a promising shift in the health insurance landscape, aligning insurance coverage with the growing trend of personalization in healthcare. By leveraging state-of-the-art techniques such as radiomics, genomics, radiogenomics, pharmacogenomics, and proteomics enabled through recent advancements in AI, data, and analytics, PIPs can offer personalized insurance coverage, which otherwise was a distant dream in the past. With sufficient governance, promotion, and support by CMS and other government bodies, healthcare payers and providers can join forces to drive both precision medicine and precision insurance plans forward to improve care quality and health outcomes, reduce healthcare costs, and offer more equitable and efficient insurance coverage for all.