Healthcare

Enhance patient care while minimising operational costs

BlackSwan’s ELEMENT™ of Health enables healthcare organisations to enhance patient care while reducing operational costs and boosting staff productivity. Dynamic profiles of patients are built in real time using our award-winning knowledge graphs. These graphs leverage machine learning algorithms to index structured and unstructured information about patients from a variety of internal and external data sources.

Natural language processing models parse documents, onboarding questionnaires, and digital interactions with patients to extract key facts. ELEMENT’s entity resolution methods disambiguate between patient data with similar identifying information. Deep learning models analyse patient profile information to derive expert-level insights such as treatment recommendations and uncover patterns such as fraudulent behaviours.

Healthcare providers can leverage ELEMENT of Health to streamline patient flow, improve customer service, make informed decisions, combat healthcare fraud, assess patient risk levels, personalise treatments, and more.

Why ELEMENT™ of Health?

• • 360-Degree Patient View

    Build a dynamic single source of truth of patient information, including health history, personal identification information, and medical examination findings, while ensuring strict data access controls with complete audit trails. 

• • Improved Patient Experience

    Create better patient journeys and customer experiences by streamlining the patient onboarding process, reducing admission waiting times, and providing personal recommendations on healthcare services and specialists. 

• • Proactive Care Management

    Assess patient risk in real time with dynamic dashboards and reports that visualise the most important risk factors, and receive instant recommendations on treatments, medications, therapeutics, and other healthcare services.

• • Advanced Fraud Detection

    Uncover healthcare fraud by comparing recent behaviour with historic activity to identify patterns of fraudulent behaviours such as unbundling charges, charging for unperformed procedures, and providing unnecessary treatments.