Challenges
- The client needed to support clinical practice redesign and improvement programs across dozens of sub-specialties and hundreds of clinical registries
- The APIs and extensibility of FHIR should enable human enrichment and machine learning over integrated clinical data
- The solution should speed up the creation of registries and reduce the ongoing costs associated with registry maintenance
Solutions
- Integrated EHR and ancillary clinical data with specialty specific elements
- Enriched data with natural language, rules, and machine learning
- Provided solution architecture in addition to various other services including healthcare subject expertise, project management, web services development, UI/UX, business intelligence and quality assurance
Tools & Technologies
Hadoop, Apache Hbase, Elasticsearch, Power designer, Spring, Angular JS, Node JS, Redis
Key benefits
- Improved productivity of human abstractors deriving from notes
- Practitioners can now define registries using clinical terminology
- The platform supports specialty-specific analytics
- Reduced maintenance costs
