In this article we will learn that how Big Data is helping in Health Care Let's understand how big data is changing healthcare and reducing the cost & improving outcome.
Big Data revolution is transforming the way we live. The last few years have seen a tremendous generation of data which impacts our day to day life and health care has also not been untouched by it. The healthcare industry has certainly lagged behind other industries such as banking, retail, etc. in the usage of Big Data. Other industries have embraced Big Data earlier and have reaped profits and greater customer satisfaction.
Big Data in Healthcare
Healthcare industry generates huge data about every patient but accessing, managing and interpreting the data are critical to creating actionable insights for better care and efficiency. The American Healthcare expenses represent 17.6% of its GDP, which is far more than the expected benchmark. Clinical trends also play a role in the rise of Big Data in Healthcare. Earlier physicians used their judgments to make treatment decisions, but the last few years have seen a shift in the way these decisions are being taken. Physicians review the clinical data and make an informed decision about a patient’s treatment. Financial concerns, better insights into treatment, research, efficient practices contribute to the need of Big Data in Healthcare industry. As per prediction by IDC, 30 percent of providers will use cognitive analytics with patient data by 2018.
IOT and Big Data Analytics in Healthcare
IOT adds a great value to the healthcare industry. Devices that generate data about a person’s health and send it to the cloud will lead to a plethora of insights about an individual’s heart rate, weight, blood pressure, lifestyle and much more. Big Data allows real-time monitoring of patients, which leads to proactive care. Sensors and wearable devices will collect patient health data even from home. This data is monitored by healthcare institutions to provide remote health alerts and lifesaving insights to their patients.
Smartphones have added a new dimension. The apps enable the smartphone to be used as a calorie counter to keep a track of calories; pedometers to keep a check on how much you walk in a day. All these have helped people live a healthier lifestyle. Moreover, this data could be shared with a doctor, which will help towards personalized care and treatment. Patients can make lifestyle choices to remain healthy.
Big Data and Cancer
Big Data aims to collect data from pre-treatment and pre-diagnosis data to the end stage. This data is aggregated with clinical and diagnostic data which makes predicting cancer more feasible. This predictive analysis helps to categorize different cancers and improves cancer treatment.
By leveraging historical data of patients with similar conditions, predictive algorithms can be developed using R and big data machine learning libraries to project patient trajectory.
96% of the potentially available data on patients with cancer is not yet analyzed. Based on this idea, Flatiron Health developed a service called Oncology Cloud. This service aims to gather data during diagnosis and treatment and make it available to clinicians to advance their study.
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