The Royal College Hospital London (UCLH) plans to use artificial intelligence to support clinical decision-making, replacing doctors and nurses in certain situations. The hospital will work alongside The Alan Turing Institute, a government-funded data science research hub, to look at ways to make NHS services quicker, safer and more efficient, announcing a three-year partnership. One area they will focus on is A&E, which is seen as a barometer of how the rest of the hospital and the wider system is working. It is hoped the technology can help the hospital achieve the national average waiting times of four hours, which it is currently not meeting. "Imagine a scenario where patients present to A&E with abdominal pain.
Microsoft has announced a new partnership with Great Ormond Street Hospital (GOSH) to support their research of artificial intelligence (AI). The One Microsoft partnership will see GOSH given access to new AI solutions developed by computer science students at University College London (UCL) as part of the Industry Exchange Network, which is run by UCL and Microsoft. A number of new ideas will be available to test by GOSH staff via Microsoft's cloud platform, Azure. This will be done though the hospital's Digital, Research, Informatics and Virtual Environments (DRIVE), a unit dedicated to research and evaluation of new technology and data analysis for healthcare. Neil Sebire, professor of Pathology at UCL and Chief Registration and Inspection Officer (CRIO) at GOSH, said: "This powerful partnership between GOSH, UCL and Microsoft is a potential game-changer for healthcare.
And there are many of them. As life expectancy hovers around 79 years, the number of individuals age 65 and older in the U.S. alone is projected to more than double from 46 million today to over 98 million by 2060, according to the Population Reference Bureau. The facilities to care for them are also proliferating. According to the National Institute on Aging (as of 2015) there are about 4.7 million senior citizens using home-health care; 730,000 in assisted living facilities, and 1.4 million in nursing homes. The majority of seniors say they would like to see more services available to help them adapt their homes for their developing needs.
University College London Hospitals NHS Foundation Trust, one of Britain's biggest health trusts, has partnered The Alan Turing Institute, a body that collects AI expertise of British universities, to automate tasks ranging from reading CT scans for cancer to prioritising patients at the emergency department, The Guardian reported. NHS is England's National Health Service. It is a health service that everybody in the UK can use. "Machines will never replace doctors, but the use of data, expertise and technology can radically change how we manage our services – for the better," Professor Marcel Levi, chief executive of University College London Hospitals, was quoted as saying. According to the report, the two bodies have signed an artificial-intelligence agreement for three years.
Two years ago, MIT research scientist Amar Gupta and his wife Poonam were on a trip to Los Angeles when she fell and broke both wrists. After being whisked by ambulance to a private medical center where she underwent a series of tests, staff members informed Poonam that they couldn't treat her further because she was not a member of the hospital's health care system. The staff spent hours trying to arrange for treatment elsewhere, but when they couldn't find another local facility that would accept the referral, the couple was forced to take the hospital's stunning advice: return to Boston with the fractures and consult a surgeon there. The episode abruptly ended the couple's trip, but it also, due to delays in obtaining the needed surgery for his wife, forced Gupta to give up a major professional opportunity in the Los Angeles area. In his view, the experience was bitter confirmation of the need for his work addressing dysfunction and inefficiency in the U.S. health care system -- and it inspired him to redouble those efforts.
Technology helps us live better and for longer; in fact it has been doing so since the birth of modern medicine. And as each new technology comes into use, it turns out to have medical uses, even though these are not always the ones that are sold hardest: in the 1920s the American press was full of advertisements for the health benefits of radium, which was then a mysterious and powerful substance just as artificial intelligence (AI) is today. AI won't work miracles or make death unnecessary by letting people upload their minds into silicon, but it might catch cancers earlier. The prime minister on Monday said that 30,000 lives a year would be saved by 2030, mostly through earlier and more accurate diagnosis. This is about 10% of the annual cancer death rate in Britain.
By combining techniques from traditional health actuarial risk-prediction modeling and big data machine learning, HealthKonnect, a managed care subsidiary company under Chinese insurer Ping An Insurance Group, has developed a personal health-risk prediction model that can predict future healthcare risks measured by total medical costs for individual patients. Established in 1988, Ping An, headquartered in Shenzhen, China, is the first integrated financial services conglomerate in China that blends its core insurance operations into securities brokerage, trust and investment, commercial banking, asset management, and corporate pension business. "So far, our predictive model and big data analytics have been applied in an outpatient chronic disease management pilot in a fourth-tier city in China," says Zheng Yi, chief medical officer and senior vice president at HealthKonnect. "The local Social Health Insurance (SHI) office has experienced over 20% medical trend in the past three years. After we took over the management responsibility of this population, we used predictive modeling and a big data analytics-driven management tools and effectively bucked the trend to -1.2% within nine months." In addition, HealthKonnect has built a big data-based fraud, waste, and abuse (FWA) model to improve the ability to manage FWA of medical resources in healthcare system.
Bengaluru-based healthcare startup Mfine which uses artificial intelligence has bagged $4.2 Mn in a Series A funding. Prime Venture Partners, a seed-stage venture fund led the funding round. The funding round saw participation from the existing investors Mayur Abhaya, an entrepreneur who is in the healthcare industry for some time and Stellaris Venture Partners. The startup says that it will use the latest raised money in building their hospital network across cities while they continue to build their tech team stronger. The app-based company which connects the users for consultations with the doctors also targets to reach over 1 lakh consultations by the end of 2018 with the help of their connections in 50 hospitals across the country which they target to touch by the end of 2018.