Hospital Care Quality Measures
Timely & Effective Care Across the U.S
@kaggle.thedevastator_hospital_care_quality_measures
About this Dataset
Hospital Care Quality Measures
Hospital Care Quality Measures
Timely & Effective Care Across the U.S
By Health [source]
About this dataset
This dataset includes provider-level data revealing the quality of timely and effective care from hospitals across the United States. It allows us to analyze heart attack, heart failure, pneumonia, surgical, emergency department, preventive care for children's asthma and stroke prevention and treatment data for pregnancy and delivery care courtesy of the Centers for Medicare & Medicaid Services. With this dataset you can analyze hospital's performance on all these areas using Hospital Name, Addresss , City , State , ZIP Code , County Name , Phone Number as well as scores creditable to Measure Name , Sample size from which it was derived a Footnote explanation based on location. Dig deep into each provider's level of care with this dataset to understand their performance on providing timely effective care
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How to use the dataset
To get the most out of this dataset, it is important to understand each column in the dataset: Hospital Name identifies the health care facility; Address provides the address of the hospital; City identifies the city where it is located; State specifies which state it belongs to; ZIP Code denotes its specific zip code; County Name mentions what county it belongs to; Phone Number connects you with an immediate contact at the facility if needed; Condition categorizes types of tests/treatments being monitored in that case study; Measure Name outlines all related measures under said condition umbrella or metric(s) studied as part of that investigative research project/condition category (i.e., infection prevention); Score grades out how well that measure was doing compared against expectations or goals for quality & safe patient protections (higher scores are indicative of better performance on those surveyed & tracked items); Sample details how many patients were involved in this particular study topic component and involved participant sample size selection & unit evaluation criteria definition considerations during research recruitment and retention efforts associated with a particular area of specialty treatment/testing cluster system activity factors reviewed directionally by researchers via cohort based review activities over time [note: matching non-patients or control subject population reference points also sometimes may be used depending on written scope descriptions outlined by investigators]; Footnotes can amplify additional evaluations/CAVEATS sometimes noted regarding high-lighted findings(-such as improvement yet still not meeting standards), etc.; Measure Start Date defines when all test students were allowed entry into their respective study groups associated with one another for convergence analysis purposes within a defined subject patient group prospectively selected category designation feature component selection batch cases (new patients added mid-project have crossed design frontiers at random intervals sometimes necessary). Lastly, Measure End Date reflects terminal endpoint lead review periods cut off times when no new data entries can be accepted post-data collection stopped official time period specifications if designated by protocol order via institutional clinical trial board IRB approved advanced notification statements issued throughout any official project undertaking design process stages at its multiplex points).
Understanding each column's features will assist you in selecting relevant variables from this dataset according to your research needs. Additionally, using Location can help narrow down search results geographically. With this information researchers can gain valuable insight into overall trends regarding timely and effective care in different hospitals across different states
Research Ideas
- Create an interactive heatmap to visualize provider-level data across different states. This can allow researchers, consumers and policy makers to identify areas of excellence as well as opportunities for improvement in timely and effective care measures.
- Develop a web app that allows users to locate hospitals in their area based on any given health condition, measure name, score or timeframe data provided by this dataset. This could give patients access to quality care options and help them make informed decisions while seeking medical attention.
- Utilizing the geographic coordinates data included in the Location column, create a virtual tour function that lets people virtually explore the interior of hospital facilities associated with this dataset as part of a continuing effort for transparency and access to information related to healthcare services available in their region or state
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: Open Database License (ODbL) v1.0
- You are free to:
- Share - copy and redistribute the material in any medium or format.
- Adapt - remix, transform, and build upon the material for any purpose, even commercially.
- You must:
- Give appropriate credit - Provide a link to the license, and indicate if changes were made.
- ShareAlike - You must distribute your contributions under the same license as the original.
- Keep intact - all notices that refer to this license, including copyright notices.
- No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Columns
File: rows.csv
| Column name | Description |
|---|---|
| Hospital Name | The name of the hospital. (String) |
| Address | The address of the hospital. (String) |
| City | The city where the hospital is located. (String) |
| State | The state where the hospital is located. (String) |
| ZIP Code | The ZIP code of the hospital. (Integer) |
| County Name | The county where the hospital is located. (String) |
| Phone Number | The phone number of the hospital. (String) |
| Condition | The condition being measured. (String) |
| Measure Name | The name of the measure being used. (String) |
| Score | The score of the measure on a scale from 0-10. (Integer) |
| Sample | The number of patients in the sample. (Integer) |
| Footnote | Any additional information about the measure. (String) |
| Measure Start Date | The date the measure started. (Date) |
| Measure End Date | The date the measure ended. (Date) |
| Location | The geographic location where the service was provided. (String) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Health.