Canada
Puerto Rico
USA
Belgium
France
UK
India
Client Background
The client is the largest integrated and not-for-profit medical group practice in the United States, with more than 3800 Physicians and 50000+ clinical staff across the US
Client Need
Build a system that would collect and manage aggregated patient information that can be used in practice management and for research
Build an FHIR-compliant API that would facilitate the interoperability to search for surgeries performed by respective surgical specialists. It should also qualify for the cohort for each surgery
Customize information for each surgery to identify new patient demographics, surgical details, encounters for episode care
Solution
Extracted patient demographic and clinical information from a centralized data collection system and created medical specialty-based cohorts for surgeries since 2015
Utilized HL7 FHIR resources: patient, Practician, Encounter, Diagnostic Report, Medication, Observation, and Episode of Care for each specialty cohort and enabled interoperability
Used Hbase for fast recovery of data and ability to maintain a history of resources
Implemented elastic search to meet the search requirements on FHIR resources
Created role-based authentication and authorization for accessing the cohort information for abstraction
Based on surgeons’ documents, they identified and created new observations for complicated surgeries and linked them to the actual surgery
Realized Benefits
Provided simplified interoperability solution FHIR compliant data registry
Improved ratings by providing quality of care and increasing patient satisfaction
Fast recovery of data and ability to maintain a history of the resources has improved performance
Enabled ease in clinical research by using the registries and cohort
Tools & Technologies
Apache Hbase
HL7 FHIR Foundation
Elasticsearch
Nifi
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