Readmissions Reduction Tool

Our Readmissions Reduction Tool is designed specifically to help hospitals reduce readmissions. By identifying high-risk patients, developing a personalized prediction of when a readmission is likely to occur, and providing effective post-discharge follow-up plans, we can identify readmission-causing conditions before they result in an emergency readmission. This approach allows hospitals to easily create personalized care plans that improve recovery and reduce readmissions by integrating cutting-edge data analytics and fundamental medical knowledge.
Key Differentiating Factors of our Tool:
  • Proven to reduce all-cause readmissions by 25% in live hospital trial; typical reductions expected: 20-40%

  • Highest precision and accuracy in the market:
    • 3-5 times increased detection rate and over 40% increased precision over current methods

  • Only tool that is able to predict the timing of disease-causing medical condition and timing of readmission

  • Time-based post-discharge monitoring tool:
    • Poorly timed interventions are wasted - either the patient is not yet sick or already readmitted
    • The only actionable prediction tool that improves effectiveness of interventions and optimizes care resources

  • Customized and diverse predictors unique to each hospital, population health-based:
    • Medical, behavioral, psycho-social, demographical, historical, co-morbidities, etc

  • Real-time dynamic readmissions risk adjustment:
    • Risk evolves over time and new information available updates risk score automatically

  • Ranked list generated daily for different levels of intervention:
    • Different needs for different patients categorized by type and risk
    • Customizable by hospitals

  • Integrates flawlessly to support decisions for interventions and care transition efforts:
    • Customized dashboard provides valuable information and knowledge for effective management

  • Fully integrated and easy-to-use
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Conventional tools (such as LACE) use risk stratification and provide a risk score for 30-day readmission likelihood. These scores are static, and do not provide actionable information for preventing readmissions. LCS’ tools have been proven effective due to key differentiating features: our technology predicts not only who, but also when patients will be readmitted. It allows risks to be updated daily after discharge based on new information made available on each patient. The prediction is fully personalized to each patient and each hospital. These features significantly increase the effectiveness of post-discharge monitoring and interventions.
Currently, the commercial tools available that predict actual readmissions are few and limited in scope; additionally, none of them provide actionable decision support to mitigate readmissions in an effective manner. Given the current feedback from many hospitals that today’s tools do not deliver, the market is actively hunting for better technology with results. This is why our technology will be a disruption to the market and define a class of its own.