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Common Risk Stratification of Hospital and Ambulatory Patients
Summary
A new risk stratification tool for ambulatory patients improves care coordination for those with multiple chronic conditions or nearing end-of-life. This method accurately identifies high-risk individuals, enhancing communication among healthcare teams.
Area of Science:
- Healthcare Management
- Public Health
- Clinical Informatics
Background:
- Patient care, especially for those with multiple chronic conditions or near end-of-life, is often hindered by healthcare team miscommunication.
- Standardized risk stratification across hospital and ambulatory settings could potentially improve care coordination and patient outcomes.
Purpose of the Study:
- To develop, validate, and implement an all-payer ambulatory risk stratification model.
- To predict patients' probability of dying within 30 days to identify high-risk individuals in an ambulatory setting.
Main Methods:
- Development of an all-payer ambulatory risk stratification model based on predicted 30-day mortality.
- Validation of the model against existing hospital risk strata.
- Implementation within a large multispecialty practice.
Main Results:
- The developed ambulatory risk strata demonstrated comparable 30-day mortality rates to established hospital strata.
- High-risk ambulatory strata, comprising less than 20% of the population, identified a significant proportion of patients with multiple comorbidities (85%) and those with high mortality risk (over 80% within 30 or 180 days).
- This stratification also identified two-thirds of patients experiencing nonsurgical hospitalizations within 30 days.
Conclusions:
- An all-payer ambulatory risk stratification model effectively identifies high-risk patients, improving care for those with multiple chronic conditions and end-of-life needs.
- The common risk framework facilitates improved clinical care models and communication between practices and hospitals.
- This approach enhances the ability to manage complex patient populations and reduce adverse healthcare events.
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