Healthcare today generates vast amounts of data, but it’s often not surfaced at the point of care, leaving providers with inherent blind spots that can impact clinical decision-making. Clinical outcomes research shows that when clinicians have access to complete patient histories, duplicate testing can decrease by roughly 34%, highlighting how gaps in information exchange drive redundant services and unnecessary costs.
This fragmentation limits payers’ ability to effectively manage population health and the ability to intervene proactively by surfacing relevant resources to minimize preventable costs. To effectively address care gaps, health plans have been turning to AI-enabled care models, such as Counsel, as their front door. These solutions not only unify a patient’s medical history, but they also utilize it to surface relevant context and deliver hyper-personalized care throughout a plan member’s health journey.
Care gaps remain a persistent challenge for U.S. health plans. According to the 2025 Aflac Wellness Matters Survey, 90% of adults postpone recommended checkups or screenings that could detect serious illness early. Additionally, 40% of young adults reported canceling or not scheduling appointments due to long wait times. These delays create gaps in preventive services critical for early detection of chronic conditions, contributing to avoidable downstream spend and utilization.
Preventive care delays and unaddressed chronic conditions represent a substantial operational and financial risk for health plans. These gaps are rarely caused by lack of coverage alone, but rather a set of factors, including fragmented data and limited clinical context at various points of care. Legacy care models, such as telehealth, may provide a solution to the access gap, but still lack full clinical context, leading to over-escalation and under-traige, limiting the ability to intervene when care is needed most.
Unaddressed care gaps translate into higher total cost of care, preventable escalations, and missed opportunities for early risk mitigation. Health plans seeking to move beyond reactive strategies must adopt modern, AI-powered solutions that deliver personalized, continuous, and always available care at scale.
For long, healthcare has failed across three dimensions: access, knowledge, and personalization. AI-enabled care models, such as Counsel, invert these weaknesses to shape the path to the perfect doctor.
Counsel, specifically, has invested in proprietary agentic frameworks that ensure the safe delivery of high-quality care at scale.
To close gaps across preventive care, cost, and knowledge, Counsel has developed a context-retrieval agent that plays a critical role in personalizing advice from Counsel AI and care delivered by in-house physicians. This agent serves as an orchestrator for our RAG AI framework, which surfaces relevant patient context by integrating medical records from HIEs and EHRs, clinically-validated external sources, and prior interactions. In parallel, several independent safety agents are also deployed to ensure every member interaction meets clinical, legal, and payer-level standards for safety and compliance.
An AI-enabled care model that leverages RAG and agentic frameworks allows health plans to deploy a modern front door at scale. By partnering with Counsel, care navigation and triage become seamless member experiences, helping payers shift care upstream, reduce costs, and improve overall population health.
Member receptivity to digital tools further reinforces this approach. According to recent surveys, over two-thirds of adults indicate willingness to engage with AI-generated advice for health concerns, highlighting an opportunity for plans to embrace these models to advance their innovation strategies.
Effective care gap management requires measurable improvements in quality, utilization, and member engagement. Counsel AI-enabled primary care platform drives outcomes across all three dimensions by surfacing relevant patient context to ultimately deliver hyper-personalized care through a member’s full set of healthcare needs.
Real-time identification and resolution of care gaps improves preventive care adherence and strengthens chronic condition management. By intervening earlier, plans reduce emergency department visits, hospital admissions, and avoidable complications. Counsel’s model resolves 96% of member concerns without escalation and demonstrates a 24% reduction in unnecessary emergency care compared with consumer-facing AI tools.
Contextualized care empowers members to have greater clarity about their health and confidence in care plans. By integrating a member’s medical history, prescriptions, lab results, and more, Counsel AI and physicians deliver hyper-personalized care that maximizes health outcomes, improves medication adherence, and increases preventive care.
Interested in learning how Counsel can help you advance your innovation strategy? Request a demo today.
The Counsel Health editorial team is a multidisciplinary group of writers and editors dedicated to delivering clinically grounded, evidence-based health information. Their work is informed by real-world care delivery and guided by physician expertise, ensuring content is accurate, accessible, and trustworthy. By translating complex medical topics into clear, practical guidance, the team helps readers understand their health, explore care options, and make informed decisions in a rapidly evolving healthcare landscape.
Javier Monterrosa is a healthcare marketing leader who has spent his career driving growth across AI, metabolic health, interoperability, and EHR companies. He holds a Master’s in Analytics and has co-authored published research examining how strategic decisions shape business growth. Having grown up in Latin America, he is driven to partner with mission-driven teams committed to improving healthcare access and outcomes through responsible technology.
Our content is created for informational purposes and should not replace professional medical care. For personalized guidance, talk to a licensed physician. Learn more about our editorial standards and review process.
