VBC Enablement at Enterprise Scale
Operationalize value-based care through a proven, AI-enabled enterprise platform that unifies population health analytics, care management, interoperability, and automated member engagement.
Our partnership has worked by first extending our ability to monitor and reach out and support a larger segment of our members.
Moving forward, the BHSH Spectrum Health West Michigan team will continue to use Lightbeam to monitor and track data related to its value-based care programs.
Value-based care success depends on the ability to predict risk early, act decisively, and align providers at scale, yet most payers struggle with fragmented data, manual workflows, and limited real-time insight.
Payer and payvider leaders are contending with:
- Rising medical and pharmacy trend, including specialty drug and GLP-1 cost shock
- Regulatory whiplash from CMS Interoperability and Prior Authorization mandates
- Quality program resets (Stars, HEDIS → dQMs/ECDS) requiring clinical data liquidity
- Margin pressure in Medicare Advantage and product pruning decisions
- Increasing equity and SDOH compliance requirements
Without a unified, AI-driven operating model, these challenges erode quality performance, increase administrative burden, and put revenue at risk.
Lightbeam delivers an end-to-end operating system for clinical and financial performance, combining analytics, AI-powered workflows, and deep advisory services to help organizations improve outcomes and maximize savings.
Embedded, point-of-care intelligence aligns providers with payer-led quality and risk adjustment initiatives—surfacing HCC, Stars, and care gaps directly inside the EHR, without additional portals or friction.
AI-powered cohorting, prescriptive guidance, and automated workflows prioritize rising-risk members, reduce avoidable utilization, and scale care management without increasing headcount.
Conversational AI, SMS, and IVR automate outreach at scale—engaging rising-risk and chronic populations while escalating only the interactions that require clinical intervention.
FHIR-native architecture supports interoperability, digital quality (dQMs/ECDS), and Prior Authorization readiness, so payer teams stay compliant while reducing administrative burden.
From early risk detection to automated action, Lightbeam AI supports your operations at every step.
Lightbeam AI continuously analyzes clinical, claims, utilization, and SDOH data to anticipate risk before outcomes worsen or costs escalate.
- Rising-risk patients before clinical deterioration and cost escalation
- Likely ED visits, admissions, or readmissions that drive avoidable spend
- Patients most likely to benefit from early, targeted intervention
This enables care teams to prioritize patients proactively—improving outcomes while reducing unnecessary cost.
Beyond risk scores, Lightbeam AI delivers prescriptive guidance that turns insight into clear, prioritized action.
- Recommended interventions and care pathways based on risk, quality, and utilization drivers
- Provider and care team guidance aligned to Stars, HEDIS, and risk adjustment goals
- Prioritized actions based on likelihood to engage and measurable impact
This helps teams act with confidence, consistency, and focus—without adding workflow complexity.
Lightbeam AI automates the execution of care and engagement workflows—closing the gap between insight and action at scale.
- Automated outreach using SMS, IVR, and conversational AI (Deviceless RPM)
- Real-time escalation only when clinical intervention is required
- Seamless integration with payer and provider workflows to reduce manual effort
This expands care team capacity 8–10× while lowering administrative burden and total cost of care.
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Serving patients across West Michigan as part of a large, not-for-profit health system, BHSH Spectrum Health West Michigan partnered with Lightbeam to address high swing bed utilization within its post-acute value-based care programs, an area driving significant and avoidable cost.
By applying advanced analytics, cohort identification, and data-driven education, the organization improved post-acute oversight, guided care teams toward high-performing skilled nursing facilities, and reduced unnecessary utilization without compromising quality or patient outcomes.
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