Hospital

Business Intelligence (BI) and Data Science are vital in the health industry, offering several commercial applications beyond aiding research in diseases, conditions, therapies, procedures, and medicines. Key commercial use cases include:

1. Optimal Operation Theater Utilization
2. Insurance Claims Receipts
3. Optimization of Stocks of Life-Saving Medicines

Optimal Operation Theater Utilization Operation theater efficiency hinges on three factors:

1. Time needed by cleaning staff to prepare the theater.
2. Time required to anesthetize the patient.
3. Time for the doctor to perform the procedure.

These times vary based on the personnel involved, leading to underutilization or rushed surgeries. Data science can analyze these times to determine optimal durations for each task and doctor, enabling better time management and more informed decisions on the need for additional operation theaters.
Insurance Claims Receipts

While insurance has made healthcare more accessible, it has also complicated payment receivables for hospitals. Current applications track payments but fail to predict the duration for claim receipts. Data science can analyze payment trends by insurer and claim type, helping hospitals manage receivables and payment cycles more effectively.

Optimization of Stocks of Life-Saving Medicines

Hospitals must maintain stocks of essential life-saving medicines, which often have expiration dates, as do various diagnostic supplies. Data science helps optimize the supply-demand cycle, ensuring efficient management of medicines and supplies, freeing up funds for better facility management.