COVID-19 has reshaped the way humans interact with technology in healthcare. Many countries have responded with public health measures such as social distancing, masks, and quarantine for suspected and confirmed cases. Intelligent data, technology, artificial intelligence (AI) and machine learning (ML) have started to lighten the burden to establish new ways for both health system supply and demand sustainability.

Among the most visible promoters of digital health are next-generation payers and providers (NGPPs). These companies, many of them created after implementation of the Affordable Care Act (ACA), have commonly adopted the belief that technology is the solution to improving the healthcare system. Their focus is on delivering technology-enabled solutions to improve clients, such as employers’ – but more importantly, patients’ as the end-user’s – experiences. These companies are using concepts such as blockchain, telehealth, web applications and genomics.
How do healthcare companies deploy the intelligent, interoperable technology they need?

COVID-19 has prompted more healthcare organizations to embrace the idea of intelligent data as a tool for migration to digital health. Several companies are teaming up with startups that have the means to deliver technology-enhanced solutions either by allowing these startups to connect to their systems or by creating a customer-vendor type of relationship.

Connecting a smaller startup to a healthcare company’s mainframe or command center means the startup involved in the process must codevelop solutions customized to the system’s processes, flows, infrastructure and objectives. By accessing the company’s platforms, whether a payor or provider through an electronic health record (EHR), a customer relationship management (CRM) system or other approach, the startup provides valid solutions based on the current status.

Source: www.mobihealthnews.com