Hospitals Python Library
From the CORGIS Dataset Project
By Dennis Kafura Version 1.0.0, created 6/10/2019 Tags: hospitals, health care, medical, hospital costs, hospital quality
Overview
The data set allows consumers to directly compare across hospitals performance measure information related to heart attack, emergency department care, preventive care, stroke care, and other conditions. The data is part of an Administration-wide effort to increase the availability and accessibility of information on quality, utilization, and costs for effective, informed decision-making.
https://data.medicare.gov/data/hospital-compare
Explore Structure
Each row represents a single hospital in a given US city as of April 2019 .
Explore hospitals data
Index Type Example Value
0
dict
{
1 dict (same structure)
2 dict (same structure)
... ... ...
Key Type Example Value Description
"Facility"
dict
{
"Rating"
dict
{
"Procedure"
dict
{
Key Type Example Value Description
"Name"
str
"Southeast Alabama Medical Center"
Name of the hospital
"City"
str
"Dothan"
City in which the hospital is located
"State"
str
"AL"
Two letter capitalized abbreviation of the State in which the hospital is located (e.g., AZ is Arizona)
"Type"
str
"Government"
Kind of organization operating the hospital: one of Government, Private, Proprietary, Church, or Unknown
Key Type Example Value Description
"Overall"
int
2
Overall rating between 1 and 5 stars, with 5 stars being the highest rating; -1 represents no rating.
"Mortality"
str
"Below"
Above, Same, Below, or Unknown comparison to national hospital mortality
"Safety"
str
"Above"
Above, Same, Below, or Unknown comparison to national hospital safety
"Readmission"
str
"Below"
Above, Same, Below, or Unknown comparison to national hospital readmission
"Experience"
str
"Below"
Above, Same, Below, or Unknown comparison to national hospital patience experience
"Effectiveness"
str
"Same"
Above, Same, Below, or Unknown comparison to national hospital effectiveness of care
"Timeliness"
str
"Above"
Above, Same, Below, or Unknown comparison to national hospital timeliness of care
"Imaging"
str
"Same"
Above, Same, Below, or Unknown comparison to national hospital effective use of imaging
Key Type Example Value Description
"Heart Attack"
dict
{
"Heart Failure"
dict
{
"Pneumonia"
dict
{
"Hip Knee"
dict
{
Key Type Example Value Description
"Cost"
int
23394
Average cost of care for heart attacks
"Quality"
str
"Average"
Lower, Average, Worse, or Unknown comparison to national quality of care for heart attacks
"Value"
str
"Average"
Lower, Average, Worse, or Unknown comparison to national cost of care for heart attacks
Key Type Example Value Description
"Cost"
int
17041
Average cost of care for heart failure
"Quality"
str
"Average"
Lower, Average, Worse, or Unknown comparison to national quality of care for heart failures
"Value"
str
"Average"
Lower, Average, Worse, or Unknown comparison to national cost of care for heart failures
Key Type Example Value Description
"Cost"
int
18281
Average cost of care for pneumonia
"Quality"
str
"Average"
Lower, Average, Worse, or Unknown comparison to national quality of care for pneumonia
"Value"
str
"Average"
Lower, Average, Worse, or Unknown comparison to national cost of care for pneumonia
Key Type Example Value Description
"Cost"
int
25812
Average cost of care for hip or knee conditions
"Quality"
str
"Average"
Lower, Average, Worse, or Unknown comparison to national quality of care for hip or knee conditions
"Value"
str
"Higher"
Lower, Average, Worse, or Unknown comparison to national cost of care for hip or knee conditions
Downloads
Download all of the following files.
hospitals.py hospitals.data
Usage
import hospitals
hospitals = hospitals . get_hospitals ()
Documentation
get_hospitals() Returns a list of dictionaries representing Hospitals.
