1 dataset found
  1. Medical Facility Operational Data

    • kaggle.com
    Updated Feb 10, 2021
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    Avinash Yadav (2021). Medical Facility Operational Data [Dataset]. https://www.kaggle.com/weirdolucifer/medical-facility-operational-data/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 10, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Avinash Yadav
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset represents operational features, captured in four different hospital facilities, processing walk-in (F4) or scheduled (F1, F2, F3) patients. Approximately 600 to 1000 days of full patient flow data were extracted from each facility. The variables represent different features of the patient flow, captured at the time of patient arrivals and departure (one line per each patient visit event).

    This data was extracted from the real hospital information system. Therefore it was anonymized and aggregated to remove any confidential information. In particular, x_ArrivalDTTM, x_ScheduledDTTM, and x_BeginDTTM timestamps were anonymized and set to the fictitious future dates (to make you aware of this modification). Only their relative timing was preserved. As a result, these timestamps can be used only for sorting, to reflect the correct order of feature events, but nothing else. This data is available for the operational experiment by a medical group of massachusetts general hospital to explore more.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Avinash Yadav (2021). Medical Facility Operational Data [Dataset]. https://www.kaggle.com/weirdolucifer/medical-facility-operational-data/discussion
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Medical Facility Operational Data

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Feb 10, 2021
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Avinash Yadav
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

This dataset represents operational features, captured in four different hospital facilities, processing walk-in (F4) or scheduled (F1, F2, F3) patients. Approximately 600 to 1000 days of full patient flow data were extracted from each facility. The variables represent different features of the patient flow, captured at the time of patient arrivals and departure (one line per each patient visit event).

This data was extracted from the real hospital information system. Therefore it was anonymized and aggregated to remove any confidential information. In particular, x_ArrivalDTTM, x_ScheduledDTTM, and x_BeginDTTM timestamps were anonymized and set to the fictitious future dates (to make you aware of this modification). Only their relative timing was preserved. As a result, these timestamps can be used only for sorting, to reflect the correct order of feature events, but nothing else. This data is available for the operational experiment by a medical group of massachusetts general hospital to explore more.

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