Time Series Analysis for Forecasting Maternity Patients Census
Use case in Healthcare Data Intelligence
The purpose of this usecase is to formulate inferences and generate insights based on certain indicators like the bed occupancy status, ward-wise revenues, delivery procedures (normal or caesarian), revenues generated by doctors, etc.
We leveraged Data Science and AI technologies like Exploratory Data Analysis and Time Series Forecasting on the two datasets containing data on inpatients and outpatients. The analysis performed gave deep insights (yearly, monthly, weekly) into the number of outpatients getting converted to inpatients, ward-wise inputs on bed occupancy and revenues, doctors’ performance and the revenues generated by them, type of delivery (normal or caesarian), etc. This usecase also tries to predict the weekly trends in the patients which will help for better monitoring and allotment of resources.
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Data Analytics and Artificial Intelligence are growing to be a ubiquitous need in the modern enterprise ecosystem. The need for Analytics is ranging from basic Descriptive and Diagnostic Analytics to advanced Predictive, Prescriptive, and Cognitive Analytics. However, the barrier of entry is high due to expensive infrastructure and highly skilled resource requirements.
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