Datum

About Datum

Datum develops AI-powered clinical decision support tools that utilize large language models trained on validated clinical guidelines and peer-reviewed publications. By integrating diverse evidence sources within a graph database, Datum provides clinicians with precise pharmacogenomics recommendations that are clinically validated and easily integrated into existing electronic health record systems.

```xml <problem> Clinicians often struggle to translate complex pharmacogenomics (PGx) data into actionable treatment decisions at the point of care. Existing clinical decision support tools may lack comprehensive evidence integration, real-time updates, and seamless integration with electronic health record (EHR) systems. This can lead to suboptimal medication selection and dosing, potentially impacting patient outcomes. </problem> <solution> Datum offers an AI-powered clinical decision support platform that delivers precise, evidence-based pharmacogenomics recommendations to clinicians. The system leverages large language models trained on validated clinical guidelines, peer-reviewed publications, and other relevant data sources. By integrating diverse evidence within a graph database, Datum provides clinicians with up-to-date PGx insights, including information on phenoconversion, genotype implications, and clinical considerations. The platform's AI-based chat interface allows clinicians to query the knowledge base using natural language and receive instant, clinically validated answers. </solution> <features> - AI-powered chat interface for natural language querying of PGx knowledge base - Integration of global PGx recommendations from CPIC, FDA, and DPWG guidelines - Clinically validated recommendations by licensed practitioners - Regularly updated evidence base to reflect the latest clinical research - Support for phenoconversion analysis and genotype interpretation - Precision-guided recommendations based on patient-specific details </features> <target_audience> The primary target audience includes physicians, pharmacists, and other healthcare professionals who need access to reliable and up-to-date pharmacogenomics information to optimize medication management for their patients. </target_audience> ```

What does Datum do?

Datum develops AI-powered clinical decision support tools that utilize large language models trained on validated clinical guidelines and peer-reviewed publications. By integrating diverse evidence sources within a graph database, Datum provides clinicians with precise pharmacogenomics recommendations that are clinically validated and easily integrated into existing electronic health record systems.

Where is Datum located?

Datum is based in United Kingdom.

When was Datum founded?

Datum was founded in 2024.

Who founded Datum?

Datum was founded by Ravi Bajracharya.

  • Ravi Bajracharya - CTO/co-founder
Location
United Kingdom
Founded
2024
Employees
12 employees
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Datum

Score: 83/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Datum develops AI-powered clinical decision support tools that utilize large language models trained on validated clinical guidelines and peer-reviewed publications. By integrating diverse evidence sources within a graph database, Datum provides clinicians with precise pharmacogenomics recommendations that are clinically validated and easily integrated into existing electronic health record systems.

datum.bio200+
Founded 2024United Kingdom

Funding

No funding information available. Click "Fetch funding" to run a targeted funding scan.

Team (10+)

Ravi Bajracharya

CTO/co-founder

Company Description

Problem

Clinicians often struggle to translate complex pharmacogenomics (PGx) data into actionable treatment decisions at the point of care. Existing clinical decision support tools may lack comprehensive evidence integration, real-time updates, and seamless integration with electronic health record (EHR) systems. This can lead to suboptimal medication selection and dosing, potentially impacting patient outcomes.

Solution

Datum offers an AI-powered clinical decision support platform that delivers precise, evidence-based pharmacogenomics recommendations to clinicians. The system leverages large language models trained on validated clinical guidelines, peer-reviewed publications, and other relevant data sources. By integrating diverse evidence within a graph database, Datum provides clinicians with up-to-date PGx insights, including information on phenoconversion, genotype implications, and clinical considerations. The platform's AI-based chat interface allows clinicians to query the knowledge base using natural language and receive instant, clinically validated answers.

Features

AI-powered chat interface for natural language querying of PGx knowledge base

Integration of global PGx recommendations from CPIC, FDA, and DPWG guidelines

Clinically validated recommendations by licensed practitioners

Regularly updated evidence base to reflect the latest clinical research

Support for phenoconversion analysis and genotype interpretation

Precision-guided recommendations based on patient-specific details

Target Audience

The primary target audience includes physicians, pharmacists, and other healthcare professionals who need access to reliable and up-to-date pharmacogenomics information to optimize medication management for their patients.

Datum | StartupSeeker