Community driven, value based primary care for Medicare beneficiaries in Gainesville, FL
Community driven, value based primary care for Medicare beneficiaries in Gainesville, FL
Click below for proposal presentation
https://www.youtube.com/watch?v=lje5HQw7pR4
This repository contains data, visuals, and documents to evaluate Opportunities for a Community driven, value based primary care clinic for Medicare patients using Direct Contracting payment models.
ffs_al.csv is a ready to use table with information related to the request.
ZIP = 5 digit Zip code in Alachua County, FL
POP_OVER_65 = Total population over 65 in Zip Code
POP_TOTAL = Total population in Zip Code
TOTAL_DAYS_OF_CARE = Total bed days from Medicare Part A/B beneficaries from all hopsitals for residents within that Zip Code
TOTAL_CHARGES = Total raw charges from Medicare Part A/B beneficaries from all hopsitals for residents within that Zip Code
TOTAL_CASES = Total hospital visits from Medicare Part A/B beneficaries from all hopsitals for residents within that Zip Code
DAYS_per 65 = TOTAL_DAYS_OF_CARE / POP_OVER_65
CHARGES_per 65 = TOTAL_CHARGES / POP_OVER_65
VISTIS_per 65 = TOTAL_CASES/ POP_OVER_65
ffs_al.csv Ready to use fileIncome Statement.xlsx Draft of income statement for possible clinic_data Data used for the request_code Code used for the request_fig Figures made in the requestLICENSE Generic MIT licenses for open source projects from DrewC!.gitattributes File extensions marked for GH large file storageenvironment.yml Conda environment with dependencies for use in development projects
The repository uses the following file organization.
_v#.# dependency files deployed for that specific release or version_data staged data files related to the project_fig graphs, images, and maps related to the project_archive old files no longer used_raw raw data files, documentation, and code used for staging dataproject Files related to specifc projectREADME Description, directory, notes
topic_prefix_suffix.ext
Topics are assigned based on content and listed in the directory README
alpha_ First draft of script, continuting with greek alphabetomega_ Final draft of script
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_code Development code script for working in an IDE_book Jupyter notebook _stage Data files that have been modified from raw source_2020-01-01 Text scripts with results output with date it was run_map 2D geographic display_graph 2D chart or graph representing numeric data
Code scripts use the following style:
Whenever possible code scripts follow PEP-8 standards.
Python and R code scripts use the following elective options:= for variable defintions (no <-)'' for all character strings or arguments (no "")
A single space is provided between each element ex. columns = 'COlA'
Python and R code scripts use the following variable naming conventions:
data frames: df_xx
list: l_xx
arrays: a_xx
feature tables: df_X
target tables: df_Y
While the author (Andrew Cistola) is a Florida DOH employee and a University of Florida PhD student, these are NOT official publications by the Florida DOH, the University of Florida, or any other agency.
No information is included in this repository that is not available to any member of the public.
All information in this repository is available for public review and dissemination but is not to be used for making medical decisions.
All code and data inside this repository is available for open source use per the terms of the included license.
This repository is part of the larger allocativ project dedicated to prodiving analytical tools that are ‘open source for public health.’ Learn more at https://allocativ.com.