In today’s world, medical organizations are taking the help of innovative healthcare solutions allowing healthcare providers to reduce costs, improve patient treatment, and optimize workflow and thereby, the solutions significantly transform the industry. So, new technologies like mobile applications, smart devices, biosensors, wearables, home virtual assistants, blockchain-based electronic medical record systems, predictive analytics, and web health portals indicate a truly new stage in the healthcare environment. These innovative tech solutions, help the healthcare organizations to take the advantage of automated decisions, continuous patient state monitoring, and successful diagnoses. Research tells us that IoT in the healthcare market is expected to reach nearly USD 409.9 billion by 2022 and by the end of 2018, healthcare providers will have saved $1 billion using robotic process acceleration (RPA) tools. Read more at: 

https://www.iotforall.com/top-digital-health-solutions/

Nowadays, medical sensors and data analytics are used to boost medical devices. Devices can forecast unfavorable outcomes before they occur. After analyzing large data sets, researchers can identify small changes in patient behaviors. Combining with data analytics, implantable medical sensors will allow monitoring patient health. Utilizing predictive analytics, smart sensors identify unfavorable changes in data which helps to detect medical crises very fast. Data analytics is used to influence smart devices that provide guidance to patients. These devices receive inputs from their sensor data. Predictive analytics help to make unique medicines. Smart devices use data to predict how an individual patient will respond to specific courses of action. Data analytics also help manufacturers to go beyond the general results of clinical trials to better interpret the value their devices for specific groups of patients. Read more about this article written by Battelle : http://www.healthcareitnews.com/news/big-data-difference-predictive-analytics

Predictive analytics make better use of data. Nowadays, predictive analytics using CRM data deal with anticipating customer behavior. Mobile CRM is playing an important role to deploy predictive analytics. If mobile CRM and predictive analytics are merged, it is required that the right information is sent to the mobile app. It is predicted that in the future, mobile CRM might include the apps that customers use on their mobile devices and it is also predicted that smart devices and mobile CRM apps could listen to conversations that salespeople have with customers, which will in turn produce a pop-up message to the salesperson to recommend a product based on that discussion. Read more at: http://it.toolbox.com/blogs/insidecrm/mobile-crm-considerations-with-predictive-analytics-69606