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Nursing Implementation01:15

Nursing Implementation

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Implementation is the execution of the nursing care plan developed during the planning phase.
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Related Experiment Video

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The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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i2b2 implemented over SMART-on-FHIR.

Nicolas Paris1,2,3, Michael Mendis4, Christel Daniel1,3

  • 1WIND-DSI, AP-HP, Paris, France.

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|June 12, 2018
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Summary

This study enhances the Integrating Biology and the Bedside (i2b2) tool to query remote SMART-on-FHIR APIs, enabling federated searches across multiple health data sources and bridging i2b2 with big data technologies.

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Area of Science:

  • Biomedical Informatics
  • Health Data Standards
  • Clinical Research Informatics

Background:

  • Integrating Biology and the Bedside (i2b2) is a widely used open-source tool for clinical cohort discovery.
  • Fast Healthcare Interoperability Resources (FHIR) is an emerging standard for electronic health information exchange.
  • SMART-on-FHIR specifies how applications interact with Electronic Health Records (EHRs) via FHIR.

Purpose of the Study:

  • To extend the i2b2 platform's capabilities.
  • To enable remote querying of SMART-on-FHIR Application Programming Interfaces (APIs).
  • To facilitate federated data access and integration with modern big data technologies.

Main Methods:

  • Extended the i2b2 architecture to support remote API calls.
  • Implemented a mechanism for querying multiple SMART-on-FHIR interfaces concurrently.
  • Addressed challenges in query federation, security, and terminology mapping.

Main Results:

  • Successfully enabled i2b2 to search across distributed SMART-on-FHIR resources.
  • Demonstrated the feasibility of federated cohort discovery beyond a single i2b2 instance.
  • Established a bridge between a traditional clinical data warehousing tool and modern healthcare APIs.

Conclusions:

  • The extended i2b2 facilitates more comprehensive and distributed cohort discovery.
  • This integration enhances interoperability between legacy systems and modern healthcare data standards.
  • The approach supports advanced data analytics by connecting i2b2 with big data ecosystems.