The Missing Middle in Population Health: Designing for Rising Risk Before It Becomes High Cost
Population health teams are rightly accountable for people with the most complex needs. High utilization, repeated acute encounters, unmanaged chronic conditions, and persistent barriers to care deserve focused clinical attention.
But a strategy built only around the highest-risk tier can leave an important population under-served: people whose needs are emerging, changing, or visible in documentation before they appear in a utilization report or annual risk model.
This is the missing middle of population health.
These individuals may not meet a program’s highest-risk threshold. They may have no recent inpatient event. They may not have completed a new screening. Yet the clinical record can contain meaningful, non-diagnostic signals related to Behavioral Health + HRSNs: difficulty maintaining treatment plans, changing social circumstances, challenges accessing care, or concerns documented across encounters.
The opportunity is not to label people prematurely. It is to give care teams Early Visibility into signals that may merit review, prioritization, and an appropriate next step.
High-risk lists are necessary—but insufficient
Risk stratification has an essential role in value-based care. It helps organizations allocate limited care-management capacity, identify people with substantial clinical complexity, and organize outreach around known needs.
However, risk lists are often retrospective by design. They commonly rely on utilization, claims, diagnoses, or other structured data that may become most visible after a need has intensified.
That creates a practical gap: how should an organization manage people who are not yet high-cost or high-utilizing, but whose care trajectory may be changing?
The Agency for Healthcare Research and Quality describes care management as a set of activities designed to assist patients and their support systems in managing medical conditions and related psychosocial problems more effectively. That framing matters. Effective care management is not only a response to acute utilization; it can also support coordination around the conditions and barriers that influence whether a care plan is workable.
A population strategy that waits for an adverse event before attention is triggered can unintentionally reserve its strongest workflows for the point at which choices are most constrained.
Treat rising risk as an operational category, not a diagnosis
“Rising risk” should not be a clinical label and should never substitute for clinician judgment. It is an operational category: a way to organize limited attention around individuals or cohorts whose documented circumstances suggest that review may be warranted.
The distinction is important.
A documentation-derived signal is not a diagnosis. It does not establish causality, predict a particular outcome, or determine what a person needs. It can, however, help a care manager, primary care leader, behavioral health professional, or community resource navigator ask a more timely question: Should this person’s current situation be reviewed?
That is where iBPM’s Early Visibility approach can support population health operations. iBPM is designed to surface Behavioral Health + HRSNs information from existing clinical documentation so organizational and clinical decision-makers have a more current view between formal screenings and major utilization events.
The goal is not more alerts. It is more useful context for human-led prioritization.
Build a graduated response model
Early Visibility becomes operationally meaningful when it is connected to a defined response model. Not every signal should create the same level of outreach, and not every person should enter intensive care management.
A practical model may include three levels:
- Population monitoring: Leaders review aggregate patterns by cohort, geography, practice, payer segment, or care program. This can help reveal where documented Behavioral Health + HRSNs needs appear to be concentrating.
- Targeted chart review: A designated clinical or care-management role reviews prioritized individuals with relevant context, existing care plans, and available resources. Human review determines whether any action is appropriate.
- Right-sized support: The next step may be a routine follow-up, coordination with an existing clinician, a resource discussion, referral support, or no immediate action. The response should reflect clinical judgment, patient preferences, and local capacity.
This graduated approach helps avoid two common failures: overwhelming teams with low-value worklists and limiting action to people whose needs have already become acute.
Connect social care and behavioral health workflows to the same operating model
The National Academies of Sciences, Engineering, and Medicine emphasizes that integrating social care into healthcare requires more than collecting information. Organizations need clear activities, relationships, infrastructure, and accountability for responding to identified needs.
That principle applies equally to Behavioral Health + HRSNs intelligence. Documentation may reveal a signal, but the organizational value comes from what happens next: who reviews it, what context they receive, what options are available, and how the organization learns from patterns over time.
CMS’s Accountable Health Communities Model likewise underscored the importance of connecting identified social needs with navigation and community services—not simply detecting those needs. For executives, the implication is straightforward: visibility and workflow must be designed together.
The iBPM Operating System is oriented around this organizational challenge: translating information embedded in clinical documentation into intelligence that can support population prioritization, care operations, and accountable follow-through.
Measure whether the model improves decision readiness
A rising-risk strategy should not be evaluated only through a single savings calculation. Organizations can begin with operational measures that reveal whether the model is functioning as intended:
- How quickly can teams review newly surfaced information?
- What proportion of prioritized records receive documented human review?
- Which cohorts show repeated Behavioral Health + HRSNs signals?
- Are available care-management and navigation resources being directed consistently?
- Do teams have sufficient context to decide when no outreach is necessary?
These measures can support a more disciplined path toward evaluating clinical, utilization, equity, and financial outcomes over time. They also reinforce a core responsible-AI principle: technology should make human decisions more informed and auditable, not replace them.
The population health opportunity is not to predict every adverse event. It is to reduce the period in which meaningful information exists but remains operationally invisible.
Explore how iBPM can support Early Visibility for rising-risk population health workflows: https://ibpm.ai/?utmsource=ibpm-website&utmmedium=blog&utm_campaign=ibpm-the-missing-middle-in-population-health--2026-09-02
Sources
- National Academies of Sciences, Engineering, and Medicine. Integrating Social Care into the Delivery of Health Care: Moving Upstream to Improve the Nation’s Health. https://nap.nationalacademies.org/catalog/25467/integrating-social-care-into-the-delivery-of-health-care-moving
- Agency for Healthcare Research and Quality. Care Management: Implications for Medical Practice, Health Policy, and Health Services Research. https://www.ahrq.gov/ncepcr/care/coordination/mgmt.html
- Centers for Medicare & Medicaid Services. Accountable Health Communities Model. https://www.cms.gov/priorities/innovation/innovation-models/ahcm