Doctors and hospitals treat millions of patients every day. They conduct diagnostic tests, monitor patients, prescribe medicines, conduct operations, exchange information with insurance companies, handle billing etc. They deal
with lot of patient's personal, medical observation data, billing and insurance data.
Medical providers can utilize power of big data to serve their customer better, optimize operational or diagnostic efficiencies, avert disasters early on and feed data back to research to build better medicines, procedures etc.
Keeping patients health records at one central place makes the diagnosis better and reduces un-necessary costs and time related to tests.Medical providers, hospitals, ambulance companies and insurance companies can push patients data at one place, which could be served to doctors, researches detect patterns, health history and compare with similar patients and their responses to medicines to build a better health treatment. HIPAA compliant big data store can be used to store patients data securely. scalable storage and compute could be used to perform analysis and prediction.
Health providers can use real time processing power of Big data to monitor their patients in real time.
They can build models to detect patterns, for example for a heart patients they can detect event patterns from pacemakers, sensors for any imminent heart attack.
Hospitals can push their room, equipment, doctor, nurses utilization and assignment data at central place. Combined with incoming patents registrations they can properly analyze capacity utilization and assignments to better handle
patients, reduce wait times and reduce costs.
Looking at patient's past history and comparative patients analytics will reduce unnecessary discharges and re-admissions.
Patients come from different demographies, their genetic structures, family history, response to medicines are different.Giving medicines without proper analysis of customer's data will not produce good result. When doctors can analyze similar patients and their history, responses to different treatments then they will be able to prescribe better medicines, diagnostic tests and treatment.
Fraudsters often do medical fraud by using someone else's insurance information, SSN etc. Insurers and medical providers can use power of Big data and machine learning to detect medical fraud. Insurers can also look at comparative analysis of what medical providers are doing and detect any fraud from provider's side.
Insurers and hospitals can marry data of medical staff dealing with similar patients and patient's history to recommend or assign right doctor or nurse.
Medical teams can proactively use social media, news, weather, disease epidemic data sets to alert their patients and recommend appropriate actions.Medical team can track personal health, activity data to proactively suggest tips, diet plans etc to make patients live a better healthy life.