BioVoice News October 2017 Issue 5 Volume 2 | Page 30

face to face focus is on heart disease, specifically on patients with symptoms of Acute Myocardial Infarction (AMI). The primary objective of the project is to search through the existing data sets for hidden patterns of both the predictable and preventable events in managing the healthcare of individuals. The focus of the current work is to identify patients at risk of frequent unplanned re- admissions. Frequent unplanned re-admissions diminish the patient care and institutional performance and adds to the cost of managing AMI patients. Recent observations indicate that out of five admitted AMI patients nearly one patient is readmitted within 0-30 days after discharge. To reduce unplanned 30 BioVoiceNews | October 2017 readmission, it is mandatory to recognize the high- risk patient during initial admission and then identify the risk factors and administer medication accordingly. Has the data been really used to its potential? What about the data security and privacy? Are there any laws? Currently the world is experiencing a data deluge. We are living in the world of big data where the traditional methods have failed to manage this scale and complexity. At the centre of this data- wealth, is the health sector with data on admissions, diagnosis and outcomes, spanning a bewildering and disconnected web of images, computerized records and registries. There are no systems to manage this big data. Despite the wealth of health solutions trapped in the ore, this critical resource is not mined. The result is write only data, mostly unused, with untapped potential to identify critical safety issues, as well as service and clinical efficiencies. The security of data is indeed an issue. While the general data is always at the risk, the mined data has to be protected more because of vulnerability. There are no defined laws as the area is still developing. Institutional bioethics committees generally monitor the issues on case to case basis at various organizations where the work related to data or big data related to clinical procedures or health is happening.