AI in Healthcare

mvhealth

Momentum makes ETL of healthcare data at scale faster and cost effective

Momentum AI for Healthcare

Healthcare data are complex. Momentum has several plugins to pull and process healthcare data at scale.

To make the ETL easy Momentum supports the following types of parsers and processors for healthcare data:

  • CCD/CDA parser to process structured XML based CDA documents at scale
  • Distributed OCR to extract textual contents from scanned documents
  • DCM client that enables integration with PACS and pull radiological images from PACS systems
  • X12 parsers to process claims data at scale
  • Direct integration to receive Direct messages from EHR systems
  • HL7 parsers for lab data

Ready-to-Use Healthcare AI Models

We have identified some critical needs in healthcare and developed AI models to cater to those needs. These models are ready to deploy to production.

Contact us to talk to an expert and learn how you could use these models to make healthcare efficient, accurate, and cost effective.

Classification of Radiological Images for Faster Decision Making

  • Momentum integrates with PACS to fetch images in realtime from PACS
  • Deep Learning based model classifies images (e.g. heart failure, pneumonia, other critical illness)

Who will benefit?

  • Radiology companies
  • Teleradiology companies
  • Hospitals
  • Physicians
  • Patients
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Word Cloud with Risk Assessment related tags

Financial Risk

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DRG Analysis

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Readmission Prediction

Risk Score and Comorbidity Analysis for Preventive Care

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Other Healthcare AI Models

Anomaly Detection of Billing and Charges
Insurance Prior Authorization Prediction
Causal Analysis of Insurance Claim Rejection
Revenue Leakage Analysis

Next Steps...

Contact us for a demo or discussion on how you could use pre-built models for healthcare