Salesforce Health Cloud's close relative, Health Cloud for Payers, has been pumped up with new tools for healthcare providers and payers to integrate patient insurance data and improve health plan member experience. Salesforce laid out a path for the near and long-term future for both Health Clouds that include AI enhancements and chatbots, links to other Salesforce Cloud systems with its new Customer 360 product and the ability to incorporate social determinants of health. Salesforce Health Cloud for Payers will see general release in October 2018 and February 2019 of new capabilities for complex care management, health plan membership, benefits and claims, insurance utilization management, quality measurement and member and provider services, the vendor said during its Dreamforce 18 conference here on Sept. 25. The CRM giant, which is this city's biggest tech employer and jams up downtown during its sprawling annual conference, first previewed Salesforce Health Cloud for Payers in early summer 2018. Josh Newman, M.D., chief medical officer and director of product management and health strategy, said in an interview here that MuleSoft, the software integration vendor Salesforce bought earlier this year, worked on building the two health systems upon the Service Cloud framework.
The United States spends more than $3 trillion a year on health care. That includes $672 billion a year in Medicare, $565 billion in Medicaid, almost $329 billion the pharmaceutical industry pulls in and over $1 trillion that goes to hospitals. And many people think our current health care system isn't working. And oftentimes, the folks in charge can't agree on how to fix it. One idea being explored more than ever before is to focus on a group of factors called the social determinants of health.
There is no doubt that the Internet of Things is transforming the healthcare industry completely by redefining how apps, devices and people interact and connect with each other in delivering healthcare solutions. That is, IoT is constantly offering new tools as well as efficiencies that make up an integrated healthcare system with the view of ensuring patients are cared for better, health care costs are reduced significantly and treatment outcomes are improved. Thus, it is a conglomeration of multiple opportunities that wellness promoters and hospitals can tap into even as they optimize resources through automated workflows as well as process excellence. For instance, a majority of hospitals use IoT for asset management and controlling humidity and temperature within operating rooms. Although the Internet of Things is transformational in the health care sector, it also presents a number of challenges given that health data is sensitive.
Google's DeepMind and the NHS: A glimpse of what AI means for the future of healthcare The Google subsidiary has struck a series of deals with organisations in the UK health service -- so what's really happening? Nokia plans to sell its digital health unit to Éric Carreel, co-founder and former chairman of Withings -- the company Nokia bought just two years ago to form the basis of its health business. Nokia announced a review of strategic options for its digital health unit in February this year, and said the planned sale is part of its strategy to focus on business-to-business offerings and licensing. The Finnish company said the deal is expected to close late in the second quarter of 2018. Nokia's digital health business (part of Nokia Technologies) makes products such as hybrid smart watches, scales and digital health devices to sell to consumers and businesses.
Using artificial intelligence in health care could actually make medicine more human by giving doctors more time to interact with their patients. The technology promises to improve health care by making it more effective and speedy by eliminating some of the mundane functions that eat up doctors' time, said Eric Topol, founder and director of the nonprofit Scripps Research Translational Institute, at Fortune's Brainstorm Health conference on Tuesday in San Diego. Machine learning could free doctors from having to type medical information into patient files while also helping give patients better access to their personal data. "All that effort can then get us to what we've been missing for decades now, which is the true care in health care," Topol said. Topol's vision is the topic of his new book, Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again.