Data algorithm helps healthcare providers ID high-risk patients
In health care, not all patients are equal. Some need costly treatment while others are relatively healthy, so providers must often decide who requires more attention and resources. Reston-based information technology firm Altruista Health is attempting to automate that decision process, using its own predictive algorithm to identify a hospital's sickest patients. Mining millions of health records, the 75-person company's software performs a sort of triage, alerting physicians to patients statistically at risk of worsening and then providing treatment suggestions.
- ICD-10 Delay Alters Provider, Vendor Prep
- Providers Lag as Consumers Set Agenda
- Payment Reform Naysayers 'Better Wake Up'
- Crisis Spurs Healthcare Payment Reform in Arkansas
- Esther Dyson Launches Population Health Challenge
- HIT Leaders Want Flexibility, Transparency from Next HHS Chief
- As Hospitalist Patient Loads Rise, So Do Hospital Costs
- Advance Directives: Let's Make a Law
- Reduce Readmissions by Activating Patients to Do 'Self-Care'
- Look Beyond Nurse-Patient Ratios