Hospital Prices V3 Outlier Analysis

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
jupyter-notebook
Domain
analytics, data

Research direction

Start with the DoltHub hospital-price-transparency-v3 database linked in the issue and inspect how prices are distributed across common procedures. Define the outlier and top-X criteria, investigate selected high findings against the listed chargemaster, and document the results, including any hospital follow-up.

Written by the indexing model from the issue text.

Description

https://www.dolthub.com/repositories/dolthub/hospital-price-transparency-v3

Find all the prices in this databases that are way outside the distribution on the high side. Trim to common procedures. Create a top X list. Investigate some of the findings. Are they still overcharging in their listed charge master? Call the hospital.

Dominant language
Jupyter Notebook
Stars
52
Forks
27
No merged PRs in 30d

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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