Advantages of Big Data Analytics in Healthcare Operations

Healthcare analytics is the medical care analysis activities which can be carried out owing to data gathered from four key areas in healthcare; claims records and price data, information management, pharmaceutical and research & development, and clinical data. It is mostly applied by large healthcare organizations for improving the efficiency of their activities. This has given rise to the use of several innovative software solutions developed for the same purpose. The main aim of the healthcare analytics software used is to keep a track of the functions and activities performed by the healthcare units. The healthcare enterprises need to develop and enhance their software systems for gaining maximum benefits from them.

In the realm of medical institutions, healthcare analytics has become of paramount importance. With the rising number of patients, aged patients, an increasing number of physicians, increasing number of hospitals, and increasing amount of medical surgeries, it is important for the medical institutions to keep a track of the patient's history and habits. As such, there has been an increasing demand for efficient and robust software applications to monitor the patients' activities. This has also given rise to the development of several innovative predictive analytics tools for the purpose.

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Presently, big data analytics tools are being used for evaluating the healthcare operations and detecting potential healthcare problems. The data analysis tools and systems have helped healthcare units to save lives and reduce costs. Another important use of these applications is to reduce healthcare errors by enabling quick identification and solving of problems related to healthcare. The tools have enabled better quality care, improved patient care, reduced costs, improved workforce management and administration, and enhanced patient satisfaction.

These innovative solutions for analyzing large sets of patient information and clinical-related data have significantly reduced the time taken for decision-making by the medical experts. They have also dramatically improved the quality of care delivered by hospitals and other health care units. According to healthcare industry experts, these big data analytics systems have made a remarkable contribution towards the achievement of the healthcare organizations in their quest for improving patient care quality. This remarkable improvement in patient care quality has led to massive increases in patient satisfaction and fewer emergency room visits by patients.

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Healthcare analytics tools are used in many other ways as well. Apart from evaluating the healthcare operations, big data analytics helps in creating patient-friendly websites. The tools help to create such a website that enables visitors to easily access vital information pertaining to their doctor, treatment, medications, procedures, etc. Similarly, they also enable doctors to make patient appointments and reschedule them with ease, reduce the incidence of emergency room visits due to lack of availability of time, improve the efficiency of physicians by simplifying the treatment process by enabling them to treat multiple patients in a single visit and improve the quality of the treatment offered by doctors by reducing the use of anesthesia.

Another major advantage of big data analytics is that it provides instant information on the status of a patient. This data can be used for several different things like informing operators on bedside manner of a patient and reducing chances of any patient being left waiting on an ER. It can also provide vital signs to doctors and help them monitor the overall condition of a patient so that they can provide appropriate treatment. Overall, the advantages of big data analytics in healthcare operations are many and it is only a matter of time before this technology replaces medical professionals altogether.