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The Implementation Science for Genomic Health Translation (INSIGHT) Study in Epilepsy: Protocol for a Learning Health Care System.
Feofanova, Elena Valeryevna; Zhang, Guo-Qiang; Lhatoo, Samden; Metcalf, Ginger A; Boerwinkle, Eric; Venner, Eric.
Affiliation
  • Feofanova EV; Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Zhang GQ; Department of Neurology, The University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Lhatoo S; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Metcalf GA; Texas Institute for Restorative Neurotechnologies, The University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Boerwinkle E; Department of Neurology, The University of Texas Health Science Center at Houston, Houston, TX, United States.
  • Venner E; Texas Institute for Restorative Neurotechnologies, The University of Texas Health Science Center at Houston, Houston, TX, United States.
JMIR Res Protoc ; 10(3): e25576, 2021 Mar 26.
Article in En | MEDLINE | ID: mdl-33769305
ABSTRACT

BACKGROUND:

Genomic medicine is poised to improve care for common complex diseases such as epilepsy, but additional clinical informatics and implementation science research is needed for it to become a part of the standard of care. Epilepsy is an exemplary complex neurological disorder for which DNA diagnostics have shown to be advantageous for patient care.

OBJECTIVE:

We designed the Implementation Science for Genomic Health Translation (INSIGHT) study to leverage the fact that both the clinic and testing laboratory control the development and customization of their respective electronic health records and clinical reporting platforms. Through INSIGHT, we can rapidly prototype and benchmark novel approaches to incorporating clinical genomics into patient care. Of particular interest are clinical decision support tools that take advantage of domain knowledge from clinical genomics and can be rapidly adjusted based on feedback from clinicians.

METHODS:

Building on previously developed evidence and infrastructure components, our model includes the following establishment of an intervention-ready genomic knowledge base for patient care, creation of a health informatics platform and linking it to a clinical genomics reporting system, and scaling and evaluation of INSIGHT following established implementation science principles.

RESULTS:

INSIGHT was approved by the Institutional Review Board at the University of Texas Health Science Center at Houston on May 15, 2020, and is designed as a 2-year proof-of-concept study beginning in December 2021. By design, 120 patients from the Texas Comprehensive Epilepsy Program are to be enrolled to test the INSIGHT workflow. Initial results are expected in the first half of 2023.

CONCLUSIONS:

INSIGHT's domain-specific, practical but generalizable approach may help catalyze a pathway to accelerate translation of genomic knowledge into impactful interventions in patient care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/25576.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: JMIR Res Protoc Year: 2021 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: JMIR Res Protoc Year: 2021 Type: Article Affiliation country: United States