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--- |
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tags: |
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- medical |
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- healthcare |
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- NHS |
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language: |
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- en |
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--- |
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# Dataset Card for NHS_HES Data |
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<!-- Provide a quick summary of the dataset. --> |
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This dataset consists of data taken from three CSV files containing Hospital Episode Statistics (HES) for Admitted Patient Care and Outpatient Data supplied by National Health Services (NHS) England from 2018 - 2023. |
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## Dataset Details |
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### Dataset Description |
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The data includes monthly counts from hospital visits and admissions of different types in England for April 2018 to December 2023. The data includes both total counts for every category of visit/appointment considered as well as a breakdown of those visits/admissions by treatment specialty and age-group. |
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<!-- Provide a longer summary of what this dataset is. --> |
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### Dataset Sources [optional] |
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<!-- Provide the basic links for the dataset. --> |
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More information and the original CSV files can be found at: https://digital.nhs.uk/data-and-information/publications/statistical/provisional-monthly-hospital-episode-statistics-for-admitted-patient-care-outpatient-and-accident-and-emergency-data/april-2023---december-2023. |
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Incorporated CSVs are: 'Provisional Monthly Hospital Episode Statistics for Admitted Patient Care and Outpatients, December 2023: Open Data - Totals', |
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'Provisional Monthly Hospital Episode Statistics for Admitted Patient Care and Outpatients, December 2023: Open Data - Treatment Specialties' |
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'Provisional Monthly Hospital Episode Statistics for Admitted Patient Care and Outpatients, December 2023: Open Data - Age Groups' |
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## Uses |
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The linked Google Colab file shows one possible use for a subset of this data: examining the pattern in hospital admissions episodes before, during, and after the COVID-19 pandemic and analysing whether there is a seasonal trend in those admissions and whether or not that changed during the pandemic. |
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Ex.) https://colab.research.google.com/drive/1u7jNC-CFnoVBCCDnNUIEM7zmt9nJLmF2?usp=sharing |
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<!-- Address questions about how the dataset is intended to be used. --> |
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### Direct Use |
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<!-- This section describes suitable use cases for the dataset. --> |
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[More Information Needed] |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
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[More Information Needed] |
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## Dataset Structure |
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
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The dataset is a csv that is 69*73. Each row contains the data for a single month from April 2018 to December 2023. The columns contain data on each of the variables counts were collected for (e.g. Finished Consultant Episodes, Finished Consultant Episodes with Procedure) split into the three original datasets, with separate columns for the total counts, the age bands, and the specialties. Within these columns, there are lists of dictionaries containing the data. |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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<!-- Motivation for the creation of this dataset. --> |
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[More Information Needed] |
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### Source Data |
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
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#### Data Collection and Processing |
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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[More Information Needed] |
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#### Who are the source data producers? |
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<!-- This section describes the people or systems who created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> |
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[More Information Needed] |
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#### Personal and Sensitive Information |
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While this data is related to healthcare, the units of interest are the months, rather than individual patients, so patient privacy is not an issue here. There are also no identifiable features of the patients themselves, and the data was originally released by the NHS for public use. |
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations to the bias, risk, and technical limitations. --> |
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Users should be made aware of the risks, biases, and limitations of the dataset. More information is needed for further recommendations. |
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## Dataset Card Contact |
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[More Information Needed] |
