Advanced Clinical Awareness Suite enables Data-driven Medicine and Actionable Insights from Patient Data
Clinical Inferencing
Inferencing in Symedical® empowers users to perform rules-based automated reasoning by leveraging structured clinical data to draw assertions and provide recommendations, instance evidence, and references. Inferences are managed within a user interface that removes the need for developers to author, test, or deploy.
What does Advanced Clinical Awareness do?
Using a sophisticated rules engine and leveraging Symedical’s rich ontologies, the Advanced Clinical Awareness Suite evaluates patient records ingested into the engine through industry standard formats, such as FHIR, CCD/CDA, and HL7, to deliver advanced clinical decision support at the point of care. These rules can be run upon request for a specific patient or systematically applied at a triggering event across a patient population. The Advanced Clinical Awareness Suite can be easily integrated into a variety of healthcare applications to fill gaps in patient information, identify at-risk patients, gather supporting evidence, trigger notifications, or perform other actions.
Data-driven medicine: actionable insights from patient data
Detect undiagnosed/undocumented patient conditions
Identify risk across individuals and populations
Maximize appropriateness of care
Proactively optimize process- and outcome-oriented quality measures
Succeed with risk-based contracts
Potential Identification and ROI
27.8% of US diabetics
undiagnosed
Approximate Cost of
$2,864/pp/yr
Pilot Use Case Results
3 Hospitals, ~100 clinics, 1 clinical lab, 14 diagnostic imaging groups
Over a period of 6 months, involving 1 million+ patients.
| Identified Patients | Undocumentated Diagnosis |
| 11 | COPD |
| 36 | Hypertensive Disorder |
| ~1300 | Congestive Heart Failure |
| ~3500 | Diabetes Mellitus Type II |
Download the Data Sheet
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