Читать книгу Big Data - Seifedine Kadry - Страница 44

To cope up with the massive flood of information generated at a high velocity, medical institutions are looking around for a breakthrough to handle this digital flood to aid them to enhance their health care services and create a successful business model. Health care executives believe adopting innovative business technologies will reduce the cost incurred by the patients for health care and help them provide finer quality medical services. But the challenges in integrating patient data that are so large and complex growing at a faster rate hampers their efforts in improving clinical performance and converting the assets to business value.

Hadoop, the framework of big data, plays a major role in health care making big data storage and processing less expensive and highly available, giving more insight to the doctors. It has become possible with the advent of big data technologies that doctors can monitor the health of the patients who reside in a place that is remote from the hospital by making the patients wear watch‐like devices. The devices will send reports of the health of the patients, and when any issue arises or if patients’ health deteriorates, it automatically alerts the doctor.

With the development of health care information technology, the patient data can be electronically captured, stored, and moved across the universe, and health care can be provided with increased efficiency in diagnosing and treating the patient and tremendously improved quality of service. Health care in recent trend is evidence based, which means analyzing the patient’s healthcare records from heterogeneous sources such as EHR, clinical text, biomedical signals, sensing data, biomedical images, and genomic data and inferring the patient’s health from the analysis. The biggest challenge in health care is to store, access, organize, validate, and analyze this massive and complex data; also the challenge is even bigger for processing the data generated at an ever increasing speed. The need for real‐time and computationally intensive analysis of patient data generated from ICU is also increasing. Big data technologies have evolved as a solution for the critical issues in health care, which provides real‐time solutions and deploy advanced health care facilities. The major benefits of big data in health care are preventing disease, identifying modifiable risk factors, and preventing the ailment from becoming very serious, and its major applications are medical decision supporting, administrator decision support, personal health management, and public epidemic alert.

Big data gathered from heterogeneous sources are utilized to analyze the data and find patterns which can be the solution to cure the ailment and prevent its occurrence in the future.