Healthcare is one of the primary sectors of any country. Health domain shares major role is world’s everyday data production. It comprises data right from patients’ health history to lab reports that covers images, patient demographics, electrocardiograms, medical device data, wearable device data, health apps, Chatbots so on. The data so generated can be used to improve treatment quality and bring down individual per annum medical cost; this also reduces cost of setting up of medical facilities. Understanding insights of patients’ health data, helps doctors to understand risk factor involved in developing particular health conditions and diseases; and this helps doctors to design customized treatments, precautions to improve health and life styles. As technology is evolving and pushing ourselves to more digitized world, tech like mobile apps, smart wearable like smart bands, Chatbots and search engines understands each user individually and suggests tips to improve health and predicts future health issues studying day to day activities data.
Predictive systems built around data not only warn patients’ health issues but also provides risk scores that helps nurses to prioritize their attention. In this digitally connected world, we leave behind lot of digital impressions, which is recorded and it is estimated that healthcare sectors grows rapidly in near future; data is produced more than twice what we are producing today. A proper investment in Information Technology (IT) to process and analyze, is required to manage data. Technologies like Big Data and Block chain helps in managing huge data and securing privacy and consistency of patients’ personal health data.
Know more
1. Fortune.com
The story of a child patient Jacoby, how a glucose monitor’s manufacturing company Dexcom helped the child’s parents to understand risk and reduce cost involved in checking glucose levels 20 times a day.
2. Mckinsey.com
Mckinsey explains how patients' data is collected from different sources and used to provide more robust and successful treatment plans.
3. Forbes.com
Forbes' Bernard Marr article explains how Machine learning is used to predict the patient admission rate.
4. Siemens.com
Siemens big data contribution in healthcare industry for better health care delivery.
5. Datapine.com
Application of data in healthcare; Patients Prediction for an improved staffing, real-time alerting, enhancing patient engagement, using health data for informed strategic planning, Integrating Big data with medical imaging and many more.
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