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.
- NFP Hospitals' Revenue Growth at 'All-Time Low'
- CNO Leads $1M Charge for New Scrubs, Uniforms
- Transforming Cancer Care
- Acute Kidney Injury Gets New Focus
- Interventional Radiology No Longer a Sub-Specialty
- Sharp HealthCare Leaves Pioneer ACO Program
- Half of All Primary Care, Internal Medicine Jobs Unfilled in 2013
- mHealth Tackles Readmissions
- Proton Beam Therapy Poised for Growth in US
- MA an Insurance Proving Ground for Providers