Population Health Management Report • Insight into the population served • Insights into the quality of care provided • Monitor, trend and benchmark critical measures • Create intervention profiles • Proactive measures to reduce length of stay • Identify conditions with most readmissions • Identify gaps in services • Identify areas for improvement and cost savings 11. Ingredients - Technology Requirements • Unstructured, structured, semi-structured • Retain all data • Integrate the disparate data sources • Data can stay in raw native format or untransformed state • Transform and apply schema when an analytic use case presents • "Schema on Read" • Agility to adapt to new business rules and variation • Faster time to action ADLA 15. • Largest collection of longitudinal hospital care data in the United States • Encounter-level health care data • Clinical and nonclinical information on all patients • The State Inpatient Databases (SID) - inpatient care records from community hospitals in that State • Forty-eight States participating in the SID, 97% of all U.S. community hospital discharges HCUP Data What is HCUP Data 16. When will the predictions be used? Azure Data Lake Analytics • Azure Data Lake Store – the first cloud Data Lake for enterprises • Supports the following data sources: ADLS, Azure Storage • Jobs written in U-SQL language • Big Data query language – SQL C# • U-SQL, R, Python and .NET - develop faster, debug, and optimize smarter using familiar tools • Length of Hospital stay modelling done in R • Deploy code and models in ADLA 24. Getting Started with using Azure Data Lake Analytics with R 25. Key Takeaways Healthcare is Complex Ripe for Disruption Population Health Management for improving health outcomes Microsoft AI – Infuse Intelligence in Healthcare Decisions 26.
NASA scientists are planning to use artificial intelligence to better manage the increasing communications between its spacecraft and the Earth. NASA spacecraft typically rely on human-controlled radio systems to communicate with Earth. Cognitive radio, the infusion of artificial intelligence into space communications networks, could meet demand and increase efficiency, researchers said. "Modern space communications systems use complex software to support science and exploration missions," said Janette C Briones, from the NASA's Glenn Research Center in the US. "By applying artificial intelligence and machine learning, satellites control these systems seamlessly, making real-time decisions without awaiting instruction," said Briones.
As collection of space data increases, NASA is exploring the infusion of Artificial Intelligence (AI) into space communications networks to meet demand and increase efficiency. Software-defined radios like cognitive radio use AI to employ underutilised portions of the electromagnetic spectrum without human intervention. The Federal Communications Commission (FCC) permits a cognitive radio to use the frequency while unused by its primary user until the user becomes active again. "Modern space communications systems use complex software to support science and exploration missions. By applying AI and machine learning, satellites control these systems seamlessly, making real-time decisions without awaiting instruction," Janette C. Briones, Principal Investigator at NASA's Glenn Research Centre in Cleveland, Ohio, said in a statement on Saturday.
California voters decided last year that the sale of recreational marijuana should be made legal, beginning on Jan. 1, 2018. But Proposition 64 left many of the details to local governments and state regulators. So the last several months have been a race against the calendar, as officials have sought to develop rules governing where, when and how businesses may grow, transport and sell marijuana to adults. Last month, the state unveiled 276 pages of regulations for the new recreational pot marketplace. Among other things, the rules set hefty licensing fees, regulate how much THC will be allowed in edibles and other cannabis products, and require marijuana businesses to track their product from seed to sale.
Three critical trends are driving forward the rapid development of a new generation of financial robo-advice models. In fact, gains in these three areas create the potential for a Moore's Law pattern of acceleration in the field of artificial intelligence-powered financial advice models. We generate more than 2.5 billion GB of data every day. For example, states and government organizations now open up their data, including robust offerings from the Internal Revenue Service and the U.S. Census Bureau. There is a similar trend among educational, associations, and nonprofit organizations.
A new video shows a robot performing amazing acrobatic feats, from backflips to half-turn jumps. The eerily humanoid robot, called Atlas, is 4.9 feet (1.5 meters) tall and weighs 165 pounds (75 kilograms), and uses Lidar and stereovision to navigate in its surroundings, according to Boston Dynamics, which makes the robot. Atlas is designed to be able to take on emergency situations where human life would normally be put at risk, such as going into buildings that have crumbled after an earthquake, or dealing with patients who have deadly, highly infectious diseases, according to the Defense Advanced Research Projects Agency (DARPA). In the video, the newest version of the humanoid does a kind of jump training called plyometrics, leaping between raised platforms, doing a 180-degree turn in the air on raised platforms and performing a backflip off a platform. Though he may not give American gymnast Simone Biles a run for her money right now, the robot does manage to stick the landing.
The School of Engineering has announced the addition of 16 new faculty members to its departments, institutes, labs, and centers during the 2017-18 and 2018-19 academic years. With research and teaching activities ranging from personalization in the microbiome to the application of machine learning to naval architecture, they are poised to make vast contributions in new directions across the school and to a range of labs and centers across the Institute. "I am pleased to welcome our exceptional new faculty. Their presence will enhance the breadth and depth of education and research within the School of Engineering, and strengthen MIT's commitment to making a better world," says Anantha Chandrakasan, dean of the School of Engineering. "I look forward to their contributions in the years to come."
R&D 100 Awards have been presented to six technologies that were developed either solely by technical staff from MIT Lincoln Laboratory or through their collaborations with researchers from other organizations. These awards, given annually by R&D Magazine, recognize the 100 most significant inventions introduced in the past year. A panel composed of R&D Magazine editors and independent reviewers selects the recipients from hundreds of nominees from industry, government laboratories, and university research institutes worldwide. The awards were announced during a banquet at the 2017 R&D 100 Conference last month in Orlando, Florida. The six winning technologies from this year bring to 38 the total number of R&D 100 Awards that Lincoln Laboratory has received since 2010.
This morning, the Food and Drug Administration released highly anticipated guidance on clinical and patient decision support that has been in the works at the agency for several years, advising the digital health community about how it plans to regulate software that offers recommendations or feedback to its users--both healthcare professionals, and patients and caregivers. It also provides guidance on FDA's interpretation of new software provisions in Section 3060 of the 21st Century Cures Act. Given the explosion of these innovative digital health tools and their strong potential to transform healthcare, this guidance is a significant development for tech companies and investors focusing on this space. Comments will be accepted for 60 days. Industry has been innovating and evolving rapidly.
Almost a year ago, after heavy criticism from President-elect Donald J. Trump, Ford Motor Company canceled plans to build a $1.6 billion car plant in Mexico and announced that it would instead equip a Michigan factory to make electric and hybrid models. Now the automaker is changing its plans again, saying it intends to assemble new battery-powered cars in Mexico, not Michigan. But the Michigan location will get an even larger investment than previously planned and will focus on making a range of self-driving cars. The switch comes as the Trump administration has been pushing to renegotiate the North American Free Trade Agreement with Canada and Mexico. Few industries are more heavily affected by the accord than the auto sector, which has rushed to build plants in Mexico over the last several years to take advantage of lower labor costs and that country's extensive network of trade agreements.