By 2025, Blockchain, IoT, Machine Learning Will Converge in Healthcare – HealthIT Analytics

Blockchain, machine learning, and the Internet of Things are on a collision course, which could be the best thing to happen to healthcare.

Within the next five to ten years, healthcare organizations are likely to have access to integrated health IT platforms based on an emerging set of information management technologies including blockchain, the Internet of Things (IoT), and machine learning, predicts Frost & Sullivan.

The convergence of these big data analytics and access methodologies will accelerate the growing trend of data decentralization and consumer access to personal health information by making it easier for all members of a patient’s care team to stay securely informed, involved, and interoperable with one another.

“A blockchain-based system will enable unprecedented collaboration, bolstering innovation in medical research and the execution of larger healthcare concepts such as precision medicine and population health management,” explained Transformational Health Industry Analyst Kamaljit Behera.

Blockchain leverages a distributed ledger system, in which every member of the community holds identical records of all transactions conducted between them.

Every entity that holds a copy of a ledger must approve any and all changes to the dataset before it can be conducted, providing a more secure way to ensure that access and edits are authorized.

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Why you need to pay attention to precision medicine – Managed Healthcare Executive

One million Americans. That’s the number of people Eric Topol, MD, chief academic officer at San Diego-based Scripps Health and the author of “The Patient Will See You Now: The Future of Medicine is in Your Hands,” wants to include in a four-year precision medicine study he plans to conduct; he anticipates that study participants will be part of follow-up for many decades to come.

Topol told Managed Healthcare Executive that he’s excited about this study because it’s going to leverage patient-generated genomic and sensor-based data. His goal? To deliver patient-specific information that will provide a level of granularity never before seen in medicine.

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There’s an increasing amount of data being generated about patients, and Topol said he wanted to get to a future state where patients truly own all of their medical data. Because of the recent spate of data breaches at health systems, he said that the appropriate place for this data to reside is with patients. He suggested that blockchain technology, a storage platform for securing data in a way that also allows users to control who has access to that data, or a private cloud could be the appropriate repository for this information.

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Toyota Considers Blockchain To Collect Data For Self-Driving Technology – EconoTimes

While the auto industry is racing towards an autonomous driving future, there’s still the question of actually developing the technology that is giving companies pause. Even with a brand as big as Toyota, resources for collecting data can be a huge problem. This is why it is now considering the use of Blockchain in order to gather enough road driving data to get a jump in driverless car technology.

In a recent announcement post, Toyota’s chief officer of Strategic Innovation, Chris Ballinger explained how Blockchain can help the company get the kind of data that it needs to develop its self-driving technology. For the most part, it has a lot to do with the numbers.

“Hundreds of billions of miles of human driving data may be needed to develop safe and reliable autonomous vehicles,” Ballinger said. “Blockchains and distributed ledgers may enable pooling data from vehicle owners, fleet managers, and manufacturers to shorten the time for reaching this goal, thereby bringing forward the safety, efficiency, and convenience benefits of autonomous driving technology.”

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Newly formed blockchain-IoT consortium launches common registration protocol – EconoTimes

Skuchain and Chronicled announced that it has partnered with other members of Blockchain-IOT consortium including Bosch, BNY Mellon, Filament, and has created an API that supports Ethereum, Quorum, and Hyperledger blockchain implementations.

This January saw the formation of a group of five enterprises and six startups that gathered to work on the advancement of the intersection of blockchain and the Internet of Things (IoT). These members are also a part of the API working group.

The common registration protocol being developed enables users to register multiple kinds of weaker identities like serial numbers, QR codes, UPC codes, among others and binds them to stronger cryptographic identities. These identities are linked immutable across both physical and digital worlds using blockchain technology.

“In the days of the railroad industry, there was a need to create standard dimensions for the gauge of the rail and width between the rails. Similarly, in the IoT and blockchain space, by creating standards around basic functions, such as registering cryptographic public keys to blockchain systems for ‘thing’ identity verification, we can set a strong foundation for the growth of this exciting new industry,” Maurizio Greco, CTO of Chronicled said.

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SAP Shakes Up Leadership of Cloud, Digital Efforts – CIO Journal. – WSJ

SAP SE reshuffled its executive ranks Wednesday, promoting several executives and giving two leaders more responsibility for the German software firm’s cloud business and digital transformation efforts.

Rob Enslin, who led the company’s sales and go-to-market efforts as head of global customer operations, now will run SAP’s new cloud business group, which includes the firm’s suite of cloud applications including Concur, SuccessFactors, Ariba, Hybris and Fieldglass.

Bernd Leukert, SAP’s head of products and innovation, now is charged with accelerating the company’s “platform and digital transformation strategy.” In an email, a spokesperson for SAP declined to comment on what that strategy entails, saying more detail would come after the company’s earnings statement, scheduled for release on April 25.

The firm also said Steve Singh, president of Business Networks and Applications, will leave SAP at the end of this month to pursue “entrepreneurial interests.” Mr. Singh co-founded Concur and joined SAP when it bought the travel and expense software firm in 2014.

The shuffle comes as SAP continues its shift to cloud computing, builds up its machine learning capabilities and explores business opportunities in blockchain and the Internet of Things. The company raised its earnings outlook in January after growth of its cloud-based business lifted fourth-quarter results.

More at: SAP Shakes Up Leadership of Cloud, Digital Efforts – CIO Journal. – WSJ

What Is the Proper Level of Standardization for the IoT? – IT Business Edge

The Internet of Things (IoT) is taking shape at a rapid clip, but like any other cooperative technology initiative, the need for standards is starting to draw interest as well.

While it seems obvious that millions of sensors distributed around the globe would need some sort of interoperable framework, what about the rest of the IoT infrastructure? When we delve into wireless networks, backhaul and even analytics, where will standards help overall IoT functionality and where will they hurt?

At the recent Enterprise IoT Summit in Austin, Texas, InterDigital Executive Vice President Jim Nolan pointed out that when it comes to municipal IoT endeavors like smart cities, the need for standardization will be quite broad. Without commonality in M2M communications and other facets, the development of smart cities could see a collective cost overrun of some $341 billion, or about 30 percent of the cost of implementation, according to a recent study by Machina Research. When we consider that the World Economic Forum estimates that the IoT could drive some two-thirds of global GDP over the next decade, this represents a huge, and utterly avoidable, expense for the world economy.

Already, multiple organizations are looking to standardize specific pieces of the IoT, says manufacturing.net’s Maciej Kranz. The IEEE has launched multiple initiatives aimed at bringing industry, academia, entrepreneurs and investors to the table over basic architectural frameworks and the means to merge policy decisions with technological developments. As well, the oneM2M Consortium is working on a common M2M service layer, while the AVnu Alliance is building standards for time-sensitive networking. Meanwhile, various industry consortia are looking into Industrial IoT standards overseeing interconnects, analytics and even employee retraining for the new work environment.

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And while certain highly regulated industries, like health care, require a fairly open framework for data exchange, it can be difficult to determine exactly how deep the commonality should extend. IBM has adopted SNOMED CT, an international standard for clinical terminology, for its Watson-based health care data analytics platform. This should help streamline the exchange of medical information between organizations, which in turn should improve processes like diagnostics, treatment coordination and prescription fulfillment. At the same time, the company is working with the FDA to implement the blockchain open ledger format for health data collection and other research-related functions. As a vendor solution, however, this data exchange becomes more complicated between IBM users and those who have adopted rival platforms. (Disclosure: I provide content services for IBM.)

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IBM Watson Works to Standardize Clinical Terms for Analytics

IBM Watson Health adopts SNOMED CT to support the standardization of clinical data.

March 31, 2017 – IBM Watson Health announced that it will adopt SNOMED CT (clinical terms) for use in Watson Health solutions in an attempt to standardize Watson deployments for healthcare organizations worldwide.

SNOMED CT is an international standard for clinical terminology. By adopting it as a standard for Watson Health, IBM intends to ease the exchange of clinical information and EHRs through a universal codified language.

“For example,” IBM Watson Health explained in a statement, “a medical professional can enter the term ‘myocardial infarction’ into an electronic medical record in multiple ways—as myocardial infarction disorder, cardiac infarction, heart attack, myocardial infarction, and myocardial intact.”

By integrating SNOMED CT into Watson Health, health IT systems can recognize and relate those terms and link them via a common SNOMED CT code. This allows Watson to efficiently and comprehensively identify all references to terms across different types of data from various health systems.

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