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Patient Engagement and Health Score Data
Patient Health Records & Digital Health
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About
This collection of data supports healthcare analytics by providing the necessary variables to predict whether a patient experiences a favourable outcome after participating in a MedCamp health event. MedCamp operates three distinct camp formats; for the first two formats, a favourable outcome is defined as receiving a health score, while for the third format, it is defined as visiting at least one stall at the awareness event. The information captures various metrics related to the patient, the camp, and engagement activities, enabling predictive modelling for operational efficiency and planning.
Columns
- Patient_ID: A unique identification number assigned to the patient who was admitted or attended the event.
- Health_Camp_ID: A unique identification number associated with the specific health camp that was conducted.
- Donation: The monetary amount, if any, contributed as a donation by the participant. Values range from 10 to 330 units.
- Health_Score: The instantaneous health score received by the participant, primarily relevant for formats one and two of the health camps. This score ranges from 0.00 to 1.00.
Distribution
The data files are supplied in a zipped folder named
Train.zip, containing six separate CSV (Comma Separated Values) files along with a data dictionary detailing the definition for each variable. Data structures are relational, linking patient records across different event types. While the full record count across all files is not specified, one example file (AV_First_Health_Camp_Attended.csv) contains 6,218 valid records.Usage
This dataset is ideally suited for developing classification and regression models aimed at predicting patient engagement and success rates in health intervention programmes. Specific applications include:
- Forecasting the likelihood of a favourable outcome for new registrants.
- Optimising resource allocation and marketing strategies for future health camps.
- Analysing correlations between donations, health scores, and participation success.
- Understanding the efficacy of different health camp formats.
Coverage
The data pertains to individuals who registered for and attended MedCamp health events. Participants are professionals, and consequently, MedCamp typically possesses limited detailed profile information (demographics). Due to historical hardware failure at a few camps, certain registration date and time details may be unavailable or lost. The dataset focuses specifically on the events conducted by this organisation.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers: To build and validate predictive models for healthcare outcomes.
- Healthcare Administrators and NGOs: To gain actionable insights into participant behaviour and improve camp planning and execution.
- Business Analysts: To understand the operational aspects and 'return on investment' (via favourable outcomes) of voluntary community health programmes.
Dataset Name Suggestions
- MedCamp Patient Outcome Predictor
- Janatahack Healthcare Predictive Analytics
- Health Camp Favourable Outcome Data
- Patient Engagement and Health Score Data
Attributes
Original Data Source: Patient Engagement and Health Score Data
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