The Socrata Open Data API (SODA) allows software developers
to access data hosted in Socrata data sites programmatically. Developers can
create applications that use the SODA APIs to visualize and
“mash-up” Socrata datasets in new and exciting ways. Create an
iPhone application that visualizes government spending in your area, a web
application that allows citizens to look up potential government benefits
they'd overlooked, or a service that automatically emails you when new
earmarks are added to bills that you wish to track.
To start accessing this dataset programmatically, use the API endpoint
provided below. For more information and examples on how to use the
Socrata Open Data API, reference our
Developer Documentation.
API Access Endpoint:
http://data.medicare.gov/resource/iz5u-4mk2.json
Column IDs:
- Provider Number
- provider_number
- Hospital Name
- hospital_name
- Address 1
- address_1
- Address 2
- address_2
- Address 3
- address_3
- City
- city
- State
- state
- ZIP Code
- zip_code
- County Name
- county_name
- Phone Number
- phone_number
- Percent of Surgery Patients given an antibiotic at the right time (within one hour before surgery) to help prevent infection
- percent_of_surgery_patients_given_an_antibiotic_at_the_right_time_within_one_hour_before_surgery_to_help_prevent_infection
- Number of Patients-1
- number_of_patients_2
- Footnote-1
- footnote_2
- Percent of Surgery Patients whose preventive antibiotics were stopped at the right time (within 24 hours after surgery)
- percent_of_surgery_patients_whose_preventive_antibiotics_were_stopped_at_the_right_time_within_24_hours_after_surgery_
- Number of Patients-2
- number_of_patients_3
- Footnote-2
- footnote_3
- Percent of Surgery Patients who were given the right kind of antibiotic to help prevent infection
- percent_of_surgery_patients_who_were_given_the_right_kind_of_antibiotic_to_help_prevent_infection
- Number of Patients-3
- number_of_patients_4
- Footnote-3
- footnote_4
- Percent of Surgery Patients who got treatment at right time (within 24 hours before or after surgery) to help prevent blood clot
- percent_of_surgery_patients_who_got_treatment_at_right_time_within_24_hours_before_or_after_surgery_to_help_prevent_blood_clot
- Number of Patients-4
- number_of_patients_5
- Footnote-4
- footnote_5
- Percent of Surgery Patients whose doctors ordered treatments to prevent blood clots after certain types of surgeries
- percent_of_surgery_patients_whose_doctors_ordered_treatments_to_prevent_blood_clots_after_certain_types_of_surgeries
- Number of Patients-5
- number_of_patients_6
- Footnote-5
- footnote_6
- Percent of all Heart Surgery Patients whose blood sugar is kept under good control in the days right after surgery
- percent_of_all_heart_surgery_patients_whose_blood_sugar_is_kept_under_good_control_in_the_days_right_after_surgery
- Number of Patients-6
- number_of_patients_7
- Footnote-6
- footnote_7
- Percent of Surgery Patients whose urinary catheters were removed on the first or second day after surgery
- percent_of_surgery_patients_whose_urinary_catheters_were_removed_on_the_first_or_second_day_after_surgery
- Number of Patients 11
- number_of_patients_11
- Footnote 11
- footnote_11
- Surgery patients who were taking heart drugs called beta blockers before coming to the hospital, who were kept on them
- surgery_patients_who_were_taking_heart_drugs_called_beta_blockers_before_coming_to_the_hospital_who_were_kept_on_them
- Number of Patients 8
- number_of_patients_8_2
- Footnote 8
- footnote_8_2
- Outpatients having surgery who got an antibiotic at the right time - within one hour before surgery (higher numbers are better)
- outpatients_having_surgery_who_got_an_antibiotic_at_the_right_time_within_one_hour_before_surgery_higher_numbers_are_better_
- Number of Patients 9
- number_of_patients_9
- Footnote 9
- footnote_9
- Outpatients having surgery who got the right kind of antibiotic (higher numbers are better)
- outpatients_having_surgery_who_got_the_right_kind_of_antibiotic_higher_numbers_are_better_
- Number of Patients 10
- number_of_patients_10
- Footnote 10
- footnote_10
- Patients having surgery who were actively warmed in the operating room or whose body temperature was near normal
- patients_having_surgery_who_were_actively_warmed_in_the_operating_room_or_whose_body_temperature_was_near_normal_
- Number of Patients 13
- number_of_patients_13
- Footnote 13
- footnote_13
Using a digitally signed dataset, it is possible to
prove using cryptographically secure methods that a particular copy
of a Socrata dataset has not been tampered with. This is useful if,
for instance, you are looking to publish findings based on this data,
and you want to be able to prove its integrity.
To obtain a signed version of this dataset, simply click on the
link below to generate a key and begin the download. The key and
downloaded data are specific to the current version of this dataset;
if the owner updates the dataset in the future, you will have to
restart the process to get the new data. Publish the downloaded data
along with the key that you receive, and using the instructions found
within the downloaded package, third parties will be able to confirm
that your data is legitimate.
To generate a signed version of this dataset, simply click on the
link below to generate a key. Note that if you update this dataset in
the future, you will have to return and regenerate the key in order
for consumers to again have access to it. Also note that this process
involves operations on the entirety of the data, so it may take some
time if your dataset is very large, or contains large attachments.
Only dataset owners may generate signed keys.
This dataset is published and cannot be edited directly.
A working copy is available that allows
you to make all your desired changes before making them publicly available.
Please wait while a working copy is made.
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