https://github.com/jmandel/cms-plans-fetch

https://github.com/jmandel/cms-plans-fetch

Last synced: 19 days ago
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• Host: GitHub
• URL: https://github.com/jmandel/cms-plans-fetch
• Owner: jmandel
• Created: 2023-09-23T03:46:07.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-28T03:48:40.000Z (about 1 year ago)
• Last Synced: 2024-10-06T15:43:15.960Z (about 1 month ago)
• Language: JavaScript
• Size: 13.7 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CMS PUF --> Plan Network Files

Dependencies: `libreoffice`, `csvkit`, `unzip`, `node`

Build a cache of all content (requires ~3GB disk space):

```sh

node cache.mjs

```

# Example Analysis

Count the number of providers per plan.

In duckdb...

```sql

create table provider as (SELECT * from read_ndjson("cache/provider_*",  columns={"npi": "VARCHAR", "type": "VARCHAR", "plans": "STRUCT(plan_id_type VARCHAR, plan_id VARCHAR, network_tier VARCHAR, years BIGINT[])[]", "name": "STRUCT(prefix VARCHAR, first VARCHAR, middle VARCHAR, last VARCHAR, suffix VARCHAR)", "addresses": "STRUCT(address VARCHAR, address_2 VARCHAR, city VARCHAR, state VARCHAR, zip VARCHAR, phone VARCHAR)[]", "specialty": "VARCHAR[]", "accepting": "VARCHAR", "languages": "VARCHAR[]", "gender": "VARCHAR", "last_updated_on": "VARCHAR", "facility_name": "VARCHAR", "facility_type": "VARCHAR[]", "group_name": "VARCHAR"}));

create table plan as (SELECT * from read_ndjson("cache/plan_*",  columns={"plan_id_type": "VARCHAR", "plan_id": "VARCHAR", "marketing_name": "VARCHAR", "summary_url": "VARCHAR", "marketing_url": "VARCHAR", "formulary_url": "VARCHAR", "plan_contact": "VARCHAR", "network": "STRUCT(network_tier VARCHAR)[]", "formulary": "STRUCT(drug_tier VARCHAR, mail_order BOOLEAN, cost_sharing STRUCT(pharmacy_type VARCHAR, copay_amount DOUBLE, copay_opt VARCHAR, coinsurance_rate DOUBLE, coinsurance_opt VARCHAR)[])[]", "benefits": "STRUCT(telemedicine BOOLEAN)[]", "last_updated_on": "VARCHAR", "years": "BIGINT[]"})) ;

create table formulary as (SELECT * from read_ndjson("cache/formulary_*",  columns={"rxnorm_id": "VARCHAR", "drug_name": "VARCHAR", "plans": "STRUCT(plan_id_type VARCHAR, plan_id VARCHAR, drug_tier VARCHAR, prior_authorization BOOLEAN, step_therapy BOOLEAN, quantity_limit BOOLEAN, years BIGINT[])[]"}))

```