Categorize
Organizing problems into intuitive disease categories and decluttering the problem list.
Entity Extraction
Natural Language Processing (NLP) provides the capability to extract entities within unstructured clinical notes using named entity recognition. The Entity Extraction API identifies clinical domain terms in unstructured clinical data recognizing IMO Problem, Procedure, Medication, and Lab domain terms. The Entity Extraction API then normalizes identified terms using IMO Precision Normalize providing users the benefit of computable, clinician-friendly IMO terms and standard clinical terminology data.
IMO® Precision Normalize API
IMO® Precision Normalize provides normalization capabilities enabling standardization of inconsistent clinical data from diverse health information systems to a common, clinically validated terminology to ensure that problems, procedures, and medications have clean, enriched, and consistent meanings. This API normalizes input terms or codes to IMO identifiers.
The information provided is confidential and proprietary. Any use of this outside an agreement or engagement with IMO Health® is prohibited.
Discovery
IMO Discovery for problems analyzes patient data from previous encounters and helps identifying missing problems from the problem list. The search renders potential risks and gaps in care, giving providers a detailed picture of a patient’s health needs.
Risk Assess
Assess the risk associated with the problems on the problem list.
Clean
Cleanup problem lists removing duplicates, related and expired problems.
Associate
Associates problems, labs and medications.