Today, big data analytics in the healthcare industry is the backbone of healthcare organizations. Digitization has changed the healthcare industry, and the way healthcare organizations provide care. Big data analytics is also helping organizations to overcome the competition in this highly competitive environment.
Improvements in automation in healthcare have created a huge volume of data. Management of these data has become difficult, and big data management with the applications of IoT and Artificial Intelligence (AI) can help.
The integration of big data and IoT under a single system has resulted in excellent enhancements in various medical practices inside the healthcare facilities. With this integration, the healthcare organizations can track a patient’s health statistics, not only from the wearable devices but also through new medical innovations like monitoring of blood pressure and glucose levels. The connected devices or the sensors enable the organizations to monitor the patients even when they are away from hospitals.
The development of mobile apps has played a significant role in providing initial information about disease and diagnosis. These medical apps enable patients to understand the causes and symptoms of a disease and to reduce prescription errors. These advantages have improved the efficiency of patient care and various costs for organizations to ensure better care without longer stays in hospitals. This has resulted in treatments with more accuracy and lesser false treatments.
As any other IoT technology, the IoMT has reduced the human touch in healthcare activities, which prevents human errors in data keeping. Big data analytics avoids situations like wrong medicine prescriptions when delivering different medication and reduces such serious mistakes in the analysis and examination of patient data. Another advantage of big data analytics in the healthcare industry is the analysis of the massive volume of data within seconds, which also leads to time and cost reduction. Predictive analytics can find people with a similar disease in nearby locations by tracking them from their travel data.
In a nutshell, big data analytics increases the quality of healthcare services, by reducing treatment costs, saving time, and improving efficiency in patient care and medications. The healthcare industry seems to produce much better outcomes with big data.