Yale New Haven Hospital nursing staff was one of the earliest users of the Rothman Index. The index is a tool used to reflect acuity and risk levels for patients. Clinical Informatics Manager Leslie Hutchins stated the Yale New Haven Hospital implementation of technology was aiming to provide the right advisory, at the right time, in order to pull the data that is meaningful to the cause of achieving desired patient outcomes. The Rothman index uses electronic medical record data for calculations. The Rothman Index was met by a great deal of skepticism regarding validity and reliability in addition to the accuracy of actionable results.
Cerner was interviewing Silicon Valley giants to pick a storage provider for 250 million health records, one of the largest collections of U.S. patient data. Google dispatched former chief executive Eric Schmidt to personally pitch Cerner over several phone calls and offered around $250 million in discounts and incentives, people familiar with the matter say. Google had a bigger goal in pushing for the deal than dollars and cents: a way to expand its effort to collect, analyze and aggregate health data on millions of Americans. Google representatives were vague in answering questions about how Cerner's data would be used, making the health-care company's executives wary, the people say. Eventually, Cerner struck a storage deal with Amazon.com The failed Cerner deal reveals an emerging challenge to Google's move into health care: gaining the trust of health care partners and the public.
Amazon ( NASDAQ: AMZN) has introduced a new healthcare application which interfaces with electronic health records and significantly improves patient and clinician interaction. Amazon Transcribe Medical digitally converts speech ( patient and medical professional conversations) via a microphone feed to text for inclusion within clinical documentation and other healthcare data records. Amazon Transcribe Medical can accurately process spoken dialogue plus medical and pharmacological descriptions and clinical terminology aligned with medical professional and patient discussions. The application can populate electronic health records ( EHR) that is also referred to as electronic medical record ( EMR) which healthcare professionals and their provider organizations use to record and manage patient data. In healthcare and an array of other industries, advances in voice recognition and transcription technology are widely welcomed and highly anticipated.
What's in the news: Google and the 2,600-hospital Ascension health system are collaborating on an effort--dubbed Project Nightingale--that puts identifiable patient data in the hands of the tech giant's engineers for use in projects on machine learning (ML) and augmented intelligence (AI), often called artificial intelligence. The AMA is spearheading initiatives that put physicians at the center of digital health innovation. See how you can get involved. Google and Ascension say the activities, first reported by Rob Copeland of The Wall Street Journal, are covered by a business associate agreement, which is a long-standing, and legal, way for health care providers to share identifiable data with third parties under the Health Insurance Portability and Accountability Act (HIPAA). The third parties may only use the data for certain purposes and must protect it as HIPAA requires.
David Feinberg, Google's Vice President of Healthcare, recently described "a search bar on top of ... [ ] your [electronic health records] that needs no training," on stage at a conference in Las Vegas. Google is testing a service that would use its search and artificial intelligence technology to analyze patient records for Ascension, the largest nonprofit health system in the U.S., according to documents about the efforts reviewed by Forbes. Called "'Nightingale," the Google-Ascension project indicates that Google's push into health analysis is farther along than previously believed, even as the company has faced a growing backlash over health-related privacy concerns. Ascension said in a statement that all its work with Google complies with privacy law and is "underpinned by a robust data security and protection effort, which Google echoed in its own blog post later Monday, including that "patient data cannot and will not be combined with any Google consumer data. " The Wall Street Journal first published details of the Ascension partnership earlier on Monday.
Take a look around any big hospital and you'll find plenty of imposing technology: surgical robots, artificial organs, wireless brain sensors, three-dimensional imaging visualizations. But you have to look harder to find what's been touted for years as the future of medicine: artificial intelligence, or the use of computers to reason, learn and make critical decisions in patient care, with little or no human involvement. The medical field's lofty dreams of unleashing the power of artificial intelligence to transform medicine have yet to materialize in a major way. The thought of replacing doctors with machines remains a science-fiction fantasy. Even so, health-information experts say artificial intelligence has its place and can perform valuable tasks, from helping doctors identify diseases earlier to matching call-center customers at an insurance company with the person most qualified to help.
Physician burnout is one of the most serious conditions in today's medical profession. The Agency for Healthcare Research and Quality defines the condition as "a long-term stress reaction caused by emotional exhaustion [and] depersonalization," among other factors. According to the American Medical Association, physicians suffer from considerable stress caused by facets of their job that have little to do with actually providing personalized patient care. The AMA reports that physicians spend up to six hours daily working with electronic health records (EHRs) to adhere to government and hospital documentation requirements. That's six hours not spent seeing patients, and thus not having the time to listen carefully and diagnose, empathize, hold a hand, speak with family members, or explain conditions and next steps.
A team of data scientists, researchers and clinicians from UNSW Sydney have won a major prize at the second annual Healthcare Artificial Intelligence Datathon held at the National University of Singapore (NUS). The two-day event – organised jointly by the National University Health System (NUHS), Massachusetts Institute of Technology (MIT) and NUS – hosted more than 200 local and international data scientists and clinicians last weekend to address current problems in healthcare with the latest machine learning and artificial intelligence technologies. The joint UNSW-NUS team won first prize in the Critical Care Track, competing against eight other teams to analyse clinical data contained in the MIT/Philips eICU Collaborative Research Database, comprising information on more than 200,000 patients treated in intensive care units in US hospitals over the past five years. The UNSW-NUS team included researchers Oluwadamisola Sotade, Dr Mark Hanly and Oisin Fitzgerald from UNSW's Centre for Big Data Research in Health, Dr Tim Churches, data scientist from the Ingham Institute for Applied Medical Research and UNSW South Western Sydney Clinical School, and Dr Peter Straka from UNSW Mathematics and Statistics. "The installation of next-generation electronic medical records systems in ICUs and throughout hospitals enable very sophisticated machine-learning and artificial intelligence algorithms to be developed to assist busy clinicians in patient care and treatment decision making." said Dr Churches.
Artificial intelligence (AI) propelled by increasing availability of data and analytics is creating a revolution in the way technology works in solving complex problems. The fact that it utilizes, both structured and unstructured data to deliver powerful, conclusive result makes it highly sought after in areas of healthcare, entertainment, finance, transportation and more. Thanks to AI, the voluminous data which was previously untapped has now been unplugged. Coupled with predictive analysis, through AI massive amounts of data have been scrubbed to produce results that have made a paradigm shift in the way healthcare operates for all – providers, patients and professionals. What is AI actually and how does it work in healthcare?
SAN FRANCISCO--(BUSINESS WIRE)--The following is an opinion editorial provided by Navin Shenoy, executive vice president and general manager of the Data Center Group at Intel Corporation. In the wide world of big data, artificial intelligence (AI) holds transformational promise. Everything from manufacturing to transportation to retail to education will be improved through its application. But nowhere is that potential more profound than in healthcare, where every one of us has a stake. What if we could predict the next big disease epidemic, and stop it before it kills?