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LEVERAGE ACTIONABLE ANALYTICS WITH Patient RISK STRATIFICATION

Lightbeam’s risk stratification engines identify the costliest patients and those most likely to be positively impacted by active care management.

COMPREHENSIVE PREDICTIVE ANALYTICS

Using patient data from medical claims, electronic health records, and demographics such as age, marital status, gender, and more, Lightbeam’s patient risk stratification engines can effectively predict a patient’s change in health over time with unparalleled precision.

Patient Risk Stratification - Lightbeam Health Solutions

FULLY INTEGRATED, PROVEN RISK MODELS

Our software integrates the following risk stratification methods, providing access to decades of research for your population health initiatives:

  • Lightbeam Ability to Impact (ATI): Lightbeam’s proprietary algorithm that identifies patients whose resource utilization is most likely to decrease through active care management
  • Johns Hopkins ACG® System:
    • Predictive Risk – Est. Cost vs. Avg. Pt. Over Next 12 mo.
    • Concurrent Risk – “Resource Utilization Bands” or RUBs
    • Likelihood of Hospital Admission: Individual additional factors for Extended Stay, Injury Related, and ICU
    • Likelihood of Pt. Being in Top 5% of Spend (Next 12 Mo.)
    • Risk of Poor Care Coordination – Identifies potential cost overruns for patients who may be using specialists as PCPs.
    • Unexpected Pharmacy Costs
  • NYU Avoidable ED: Utilizes a client-configurable set of “Avoidable” and “Non-Avoidable” diagnoses to determine appropriateness of venue.
  • Charlson Comorbidity Index: Predicts one-year mortality likelihood for patients with multiple comorbid conditions.
  • Hierarchical Condition Coding (HCC):  Communicates patient complexity through IDC10 groupers

QUICKLY IDENTIFY HIGH-RISK, HIGH-COST PATIENTS.
LIGHTBEAM’S PATIENT RISK STRATIFICATION CAPABILITIES INCLUDE:

Identify Patients Icon

Identifies patients with gaps in their care, relative to evidence-based guidelines, quality measures, or other metrics

Population health management, healthcare data management, healthcare management solutions, healthcare management systems, healthcare analytics - Lightbeam Health Solutions

Extensive suite of existing protocols and guidelines ready to use out of the box

High Cost Patients Icon

Predicts modeling on patients with preventable high-cost events

Care Manager Icon

Improves productivity of care managers

Lower Cost Icon

Lowers cost of health care by preventing high-cost events

Amarillo Legacy Medical ACO Diamond Image
“Lightbeam gave us the insights we needed to make critical changes to our processes for admitting patients to SNFs and HHAs. Their ability to show utilization and cost data between our partner facilities and keep care managers informed on patient activity undoubtedly helped us achieve these substantial savings.”

Mary Jo Zallar, RN, BSN - Chief Operating Officer, Amarillo Legacy Medical ACO
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Millennium Physician Group Diamond Image
“This partnership is instrumental in our growth strategy. Lightbeam has been a pivotal tool that has allowed us to shift from fee-for-service to value-based care much faster than we otherwise could have.”

- Jeff Nelson - Millennium Physician Group
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Princeton Healthcare System Diamond Image
"We use Lightbeam to help us get the insights needed to deliver quality care management."

– Tobe Fisch, MD - Princeton HealthCare System
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Maury Regional Medical Center Diamond Image
“The Lightbeam analytics identify high-risk patients and care gaps so that providers and care managers can deliver the right care to the right patients. The ACO staff also uses this data to contact patients who are overdue for preventive and chronic care.”

– Mark Kirschbaum - Maury Regional Medical Center
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case-study-diamond-2-2_92494d4802c04bdca82fc94f256_3cee7fe4c412af58f61d313c161ae06a
“This is a great example of the care coordination and the synergistic effect of all the services working to ensure the right services are in place at the right time for the right patient.”

– Cara Bramlett - Mohawk Onsite Clinics
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