Med-DX

About Med-DX

MedDX is an iOS app that utilizes machine learning algorithms based on peer-reviewed research to provide healthcare professionals with predictive calculators for medical outcomes. By enhancing prognosis prediction and risk stratification, MedDX improves the efficiency and performance of healthcare teams.

```xml <problem> Healthcare professionals often rely on traditional methods for predicting medical outcomes, which can be time-consuming and may not fully leverage the potential of data-driven insights. Inefficient prognosis prediction and risk stratification can hinder the performance of healthcare teams and potentially impact patient care. </problem> <solution> MedDX is an iOS application that provides healthcare professionals with access to a repository of machine learning-based calculators derived from peer-reviewed research. The app aims to improve the efficiency and accuracy of medical outcome predictions and risk stratification. By leveraging these calculators, healthcare teams can potentially enhance their overall performance and make more informed decisions. The application is available on iOS and MacOS, and allows users to sync their favorite calculators across multiple devices. </solution> <features> - Access to over 200 peer-reviewed machine learning calculators. - Calculators are derived from respected journals. - Ability to sync favorite calculators across multiple iOS and MacOS devices. - User account creation for personalized experience. - Free lab value reference background available for download. </features> <target_audience> The primary users are healthcare professionals seeking to improve their ability to predict medical outcomes and stratify patient risk using data-driven tools. </target_audience> ```

What does Med-DX do?

MedDX is an iOS app that utilizes machine learning algorithms based on peer-reviewed research to provide healthcare professionals with predictive calculators for medical outcomes. By enhancing prognosis prediction and risk stratification, MedDX improves the efficiency and performance of healthcare teams.

Where is Med-DX located?

Med-DX is based in Irvine, United States.

When was Med-DX founded?

Med-DX was founded in 2023.

Who founded Med-DX?

Med-DX was founded by Nolan Brown.

  • Nolan Brown - Co-Founder/CEO
Location
Irvine, United States
Founded
2023
Employees
3 employees
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Med-DX

Score: 50/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

MedDX is an iOS app that utilizes machine learning algorithms based on peer-reviewed research to provide healthcare professionals with predictive calculators for medical outcomes. By enhancing prognosis prediction and risk stratification, MedDX improves the efficiency and performance of healthcare teams.

meddxapp.com300+
Founded 2023 – Irvine, United States

Funding

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Team (<5)

Nolan Brown

Co-Founder/CEO

Company Description

Problem

Healthcare professionals often rely on traditional methods for predicting medical outcomes, which can be time-consuming and may not fully leverage the potential of data-driven insights. Inefficient prognosis prediction and risk stratification can hinder the performance of healthcare teams and potentially impact patient care.

Solution

MedDX is an iOS application that provides healthcare professionals with access to a repository of machine learning-based calculators derived from peer-reviewed research. The app aims to improve the efficiency and accuracy of medical outcome predictions and risk stratification. By leveraging these calculators, healthcare teams can potentially enhance their overall performance and make more informed decisions. The application is available on iOS and MacOS, and allows users to sync their favorite calculators across multiple devices.

Features

Access to over 200 peer-reviewed machine learning calculators.

Calculators are derived from respected journals.

Ability to sync favorite calculators across multiple iOS and MacOS devices.

User account creation for personalized experience.

Free lab value reference background available for download.

Target Audience

The primary users are healthcare professionals seeking to improve their ability to predict medical outcomes and stratify patient risk using data-driven tools.