PseudoVet - Scrape Morbidity Profiles For US Veterans For War Eras

Key Information

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Challenge Overview

Welcome to the PseudoVet - Scrape Morbidity Profiles for War Eras Challenge.

 

Overview

 

PseudoVet is an automated patient data fabrication engine which provides a set of active synthetic patients and clinical data that can be used for healthcare software development. Development against real patient data unnecessarily exposes patient health information (PHI) and personally identifiable information (PII) and cannot be used by developers outside of the VA network. However, fully functional, realistic datasets can be used safely in development, testing, training and other non-production environments in compliance with the Health Information Technology for Economic and Clinical Health Act (HITECH Act) and other regulations. Development against current fabricated data is not useful because the data sets are outdated, which requires development teams to spend time developing data sets to use in lieu of writing code or require licenses and cannot be shared.

 

Challenge Requirements

This challenge is a similar data searching/ scraping challenge similar to the PseudoVet - Scrape US Veteran Health Records Data Challenge that we had launched last month.

 

 

In this challenge, we want to focus on finding/ scraping data related for morbidity profiles for US veterans for the following war eras

 
  • World War II

  • Korean Conflict

  • Vietnam War

  • Persian Gulf War

 

The key requirements are listed below and you will need to search public sources on the Internet/ .gov sites to find this data.

Some good starting points are mentioned below (but feel free to pick other sites)

 

  1. Morbidity data

    We seek the following detail:

  • Types of morbidities affecting veterans for each war era

  • ICD-10 Code of morbidity

  • % of veterans that were affected with each morbidity during specific war era

 

You can lookup ICD-10 codes here:  https://www.nuemd.com/icd-10/codes

 

See this link for more details on the ICD10 format.

 

Example file (Korean War):  https://docs.google.com/spreadsheets/d/1LHHcMVOM_uw0xANCAhkAnLLq1Cunzy0or63DJKlDzO0/edit?usp=sharing

 

There is no coding or implementation involved in this challenge

 


Final Submission Guidelines

Final Submission Guidelines

 

  • Zipped datasets in CSV format (double quote enclosed text) for each war era. (4 files total)

  • Table of contents listing references where data was obtained. Submissions which do not list valid references will be disqualified.

 

Review Criteria

  • The co-pilot and PM will review the submissions for data authenticity as well as the volume of dataset provided. The submission with most credible data as per the above spec will be chosen as winners. All submissions will be judged on a scale of 1-10. There will be no appeals or appeals response.

ELIGIBLE EVENTS:

2018 Topcoder(R) Open

REVIEW STYLE:

Final Review:

Community Review Board

Approval:

User Sign-Off

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