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INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery
To make appropriate clinical decisions, clinicians consider many types of data from multiple sources to arrive at a diagnosis and plan. However, the current health systems have siloed data, making it challenging to develop information platforms that integrate this process into a single place for com...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285513/ https://www.ncbi.nlm.nih.gov/pubmed/37363274 http://dx.doi.org/10.3389/fdgth.2023.1091508 |
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author | Maharathi, Biswajit Mir, Fozia Hosur, Karthik Loeb, Jeffrey A. |
author_facet | Maharathi, Biswajit Mir, Fozia Hosur, Karthik Loeb, Jeffrey A. |
author_sort | Maharathi, Biswajit |
collection | PubMed |
description | To make appropriate clinical decisions, clinicians consider many types of data from multiple sources to arrive at a diagnosis and plan. However, the current health systems have siloed data, making it challenging to develop information platforms that integrate this process into a single place for comprehensive clinical evaluation and research. INTUITION is a human brain integrative data system that facilitates multimodal data integration, unified storage, cohort selection, and analysis of multidisciplinary datasets. In this article, we describe the use of INTUITION to include electronic health records together with co-registered neuroimaging and EEG from patients who undergo invasive brain surgery for epilepsy. In addition to providing clinically useful visualizations and analytics to help guide surgical planning, INTUITION also links a bank of human brain epileptic tissues from specific brain locations to quantitative EEG, imaging, histology, and omics studies in a unique, completely integrated informatics platform. Having a clinically useful platform for integrating multimodal datasets can not only aid in clinical management decisions but also in creating a unique resource for research and discovery when linked to spatially mapped tissue samples. |
format | Online Article Text |
id | pubmed-10285513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102855132023-06-23 INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery Maharathi, Biswajit Mir, Fozia Hosur, Karthik Loeb, Jeffrey A. Front Digit Health Digital Health To make appropriate clinical decisions, clinicians consider many types of data from multiple sources to arrive at a diagnosis and plan. However, the current health systems have siloed data, making it challenging to develop information platforms that integrate this process into a single place for comprehensive clinical evaluation and research. INTUITION is a human brain integrative data system that facilitates multimodal data integration, unified storage, cohort selection, and analysis of multidisciplinary datasets. In this article, we describe the use of INTUITION to include electronic health records together with co-registered neuroimaging and EEG from patients who undergo invasive brain surgery for epilepsy. In addition to providing clinically useful visualizations and analytics to help guide surgical planning, INTUITION also links a bank of human brain epileptic tissues from specific brain locations to quantitative EEG, imaging, histology, and omics studies in a unique, completely integrated informatics platform. Having a clinically useful platform for integrating multimodal datasets can not only aid in clinical management decisions but also in creating a unique resource for research and discovery when linked to spatially mapped tissue samples. Frontiers Media S.A. 2023-06-08 /pmc/articles/PMC10285513/ /pubmed/37363274 http://dx.doi.org/10.3389/fdgth.2023.1091508 Text en © 2023 Maharathi, Mir, Hosur and Loeb. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Digital Health Maharathi, Biswajit Mir, Fozia Hosur, Karthik Loeb, Jeffrey A. INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery |
title | INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery |
title_full | INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery |
title_fullStr | INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery |
title_full_unstemmed | INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery |
title_short | INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery |
title_sort | intuition: a data platform to integrate human epilepsy clinical care and support for discovery |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285513/ https://www.ncbi.nlm.nih.gov/pubmed/37363274 http://dx.doi.org/10.3389/fdgth.2023.1091508 |
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