How Big Data Analysis Can Change The Healthcare Scenario: Datafortune

by Data Fortune Data Management, Custom App Develop

Health Tracking:

The IoT (Internet of Things) devices not only generate a large amount of data, but also makes it easier to record wirelessly. Apart from the basic wearable devices that are able to detect the patient’s sleep, heart rate, exercise, distance walked, etc, there are new innovations monitoring the patient’s blood pressure, pulse, glucose and more.

The continuous assessment of the body vitals combined with the sensor data collection will allow healthcare organizations to keep people out of the hospital since they can identify potential health issues and offer the necessary care before the situation gets worse.

Assistance To High-Risk Patients:

If all the hospital records are digitized, the saved data can be accessed to understand the unusual patterns if any, of many patients. The patients visiting the hospital repeatedly, their chronic issues and symptoms can be analysed in advance. Such understanding will help in giving these patients better care and provide an insight into corrective measures to reduce their frequent visits. This will be of great help to the person at a higher risk of any medical emergency.

Prevention Of Human Errors:

Sometimes, accidentally a wrong prescription is given to the patient or less effective medication is suggested. As big data can be leveraged to analyse the correct treatment method for the specific problem, such errors can be completely avoided. This revolution will be of great help to the doctors who need to attend to several patients in a day.

Advancements In The Sector:

The AI powered applications can surf through a walloping volume of data within seconds to find the solution for a complex problem. Such advancement is already in progress and will continue to grow with the research collected by Big Data Analytics in healthcare. Not only accurate but personalized solutions can be recommended.

Reducing The Treatment Cost & Other Overheads:

Big Data Analytics in healthcare can be a great solution to save costs for hospitals that either over or under book staff members & infrastructure. Predictive analysis can help resolve this issue by predicting the admission rates and help with staff allocation. Similarly with bookings of rooms or OTs, patterns can easily be identified deploying algorithms to analyse big data that help hospitals be aware of any such seasonal variations.

Predictive analysis, the most important and relevant part of big data analytics in healthcare, fetches a greater ROI for the hospitals, and is being deployed by around 47% of the organizations, states the Society of Actuaries study.