Dataset Information

INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery.

ABSTRACT: 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.

SUBMITTER: Maharathi B

PROVIDER: S-EPMC10285513 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery.

Maharathi Biswajit B Mir Fozia F Hosur Karthik K Loeb Jeffrey A JA

Frontiers in digital health 20230608

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 multidi ...[more]

PMID: 37363274

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Project description:BACKGROUND:One of the most successful approaches to develop new small molecule therapeutics has been to start from a validated druggable protein target. However, only a small subset of potentially druggable targets has attracted significant research and development resources. The Illuminating the Druggable Genome (IDG) project develops resources to catalyze the development of likely targetable, yet currently understudied prospective drug targets. A central component of the IDG program is a comprehensive knowledge resource of the druggable genome. RESULTS:As part of that effort, we have developed a framework to integrate, navigate, and analyze drug discovery data based on formalized and standardized classifications and annotations of druggable protein targets, the Drug Target Ontology (DTO). DTO was constructed by extensive curation and consolidation of various resources. DTO classifies the four major drug target protein families, GPCRs, kinases, ion channels and nuclear receptors, based on phylogenecity, function, target development level, disease association, tissue expression, chemical ligand and substrate characteristics, and target-family specific characteristics. The formal ontology was built using a new software tool to auto-generate most axioms from a database while supporting manual knowledge acquisition. A modular, hierarchical implementation facilitate ontology development and maintenance and makes use of various external ontologies, thus integrating the DTO into the ecosystem of biomedical ontologies. As a formal OWL-DL ontology, DTO contains asserted and inferred axioms. Modeling data from the Library of Integrated Network-based Cellular Signatures (LINCS) program illustrates the potential of DTO for contextual data integration and nuanced definition of important drug target characteristics. DTO has been implemented in the IDG user interface Portal, Pharos and the TIN-X explorer of protein target disease relationships. CONCLUSIONS:DTO was built based on the need for a formal semantic model for druggable targets including various related information such as protein, gene, protein domain, protein structure, binding site, small molecule drug, mechanism of action, protein tissue localization, disease association, and many other types of information. DTO will further facilitate the otherwise challenging integration and formal linking to biological assays, phenotypes, disease models, drug poly-pharmacology, binding kinetics and many other processes, functions and qualities that are at the core of drug discovery. The first version of DTO is publically available via the website http://drugtargetontology.org/ , Github ( http://github.com/DrugTargetOntology/DTO ), and the NCBO Bioportal ( http://bioportal.bioontology.org/ontologies/DTO ). The long-term goal of DTO is to provide such an integrative framework and to populate the ontology with this information as a community resource.

Project description:BackgroundLittle is known about how primary care physicians (PCPs) in routine outpatient practice use paid price information (i.e., the amount that insurers finally pay providers) in daily clinical practice.ObjectiveTo describe the experiences of PCPs who have had paid price information on tests and procedures for at least 1 year.DesignCross-sectional study using semi-structured interviews and the constant comparative method of qualitative analysis.ParticipantsForty-six PCPs within an accountable care organization.InterventionVia the ordering screen of their electronic health record, PCPs were presented with the median paid price for commonly ordered tests and procedures (e.g., blood tests, x-rays, CTs, MRIs).ApproachWe asked PCPs for (a) their "gut reaction" to having paid price information, (b) the situations in which they used price information in clinical decision-making separate from or jointly with patients, (c) their thoughts on who bore the chief responsibility for discussing price information with patients, and (d) suggestions for improving physician-targeted price information interventions.Key resultsAmong "gut reactions" that ranged from positive to negative, all PCPs were more interested in having patient-specific price information than paid prices from the practice perspective. PCPs described that when patients' out-of-pocket spending concerns were revealed, price information helped them engage patients in conversations about how to alter treatment plans to make them more affordable. PCPs stated that having price information only slightly altered their test-ordering patterns and that they avoided mentioning prices when advising patients against unnecessary testing. Most PCPs asserted that physicians bear the chief responsibility for discussing prices with patients because of their clinical knowledge and relationships with patients. They wished for help from patients, practices, health plans, and society in order to support price transparency in healthcare.ConclusionsPhysician-targeted price transparency efforts may provide PCPs with the information they need to respond to patients' concerns regarding out-of-pocket affordability rather than that needed to change test-ordering habits.

Dataset Information

INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery.

Publications

INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery.

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