How Big Data Is A Big Deal For Patient Portals - Aegis HealthTech

1. How Big Data Is A Big Deal For Patient Portals Patient portals are enhancing patient engagement in their own healthcare like never before. Patient portals are the way of getting patients involved in their healthcare so that they take proactive measure to report any inconsistencies in their health while they are at home in their comfort. With patient portals, it has become easy for healthcare providers to team up and share patient's information with each other. This way, a more direct and open communication approach has been established between healthcare providers, which ultimately leads to better healthcare for people. With patient portals, individuals enter their information every day into the system, and this points to the need for data management. These are some specific ways in which Big Data is playing the key role in leveling up the patient portal functionalities- Data Collection –Patient portals have at their center the need to collect relevant health information as and when the patient experiences it. Thus, patient portals enable the capturing of accurate and prompt data into the system that can be later accessed by any of the patient's healthcare providers. This helps in making sure that the data is relevant and it is properly recorded for later use. Alternatively, the data that shows a red flag to the physician can be used to warn them of any medical emergencies and prepare them beforehand. Big Data for better client outcomes – Big Data and analytics are being leveraged to understand the data that the patient collects, to mine it for key information, and to base crucial decisions on the data. This allows for a personalized healthcare service provision. As the data of the patient is passed through several analytics applications, rules can be created to identify the most effective ways of treating the same condition that that patient updates in the system, and thus, a better healthcare service can be leveraged. Patient-centric care delivery – The patient portal data and patient feedback can be fed into a Big Data analytics application to draw various conclusions regarding the experience and the satisfaction levels of the patient with the healthcare providers' services. Customer-centricity is being stressed upon in the healthcare industry as it is a measure of the quality of services delivered in a healthcare organization. Better patient engagement is also being ensured through personalized treatment plans that improve the outcome of the healthcare delivery at the patient's individual level. Population analytics – With population analytics, the patients are segmented at the population level, and the data is integrated with general demographics healthcare data to understand the inherent risks associated with each patient group. This way, patients can be proactively treated at the point-of-service for the predicted risks and diseases. This allows for more generic and innovative use of Big Data in patient portals. Personalized healthcare delivery – With studies and research projects underway about DNA assessments, there is a lot of scope in delivering highly personalized healthcare services to all groups of people. With data at the center, personalization of services only needs that the data should be properly analyzed and studies. With references to patient's historical medical data and healthcare history, specific predictions and forecasts can be built relying on the Big Data, and thus, personalization of healthcare is possible. Big Data has transformed the way EHRs, EMRs, and patient portals function. With the immense potential in Big Data technologies to improve people's lives and cater to their needs with ease and simplicity, Big Data has become part and parcel of the healthcare industry, or any other industry for that matter.