WellSky is looking for a Principal Engineer (Principal Data Architect) to power and guide our Enterprise Data Platform and Enterprise Data Engineering operations. The Principal Engineer is a thought leader responsible for executing the technical aspects of WellSky's Enterprise & Platform Data. This is absolutely an individual contributor role with no team or people management. You will have direct impact on the users of our solutions, mainly doctors, nurses, and others on the front lines of healthcare and community services. Your hard work will touch the lives of real people and families navigating life and death issues with the support of our solutions.
The 2021 ACM SIGAI Industry Award for Excellence in Artificial Intelligence is granted to DrAidTM - the AI-powered Assistant product for Radiologists developed by VinBrain (a subsidiary of Vingroup in Vietnam). This is one of the world's top awards, and only one AI product is selected as the winner each year. The award will be presented at the International Joint Conference on Artificial Intelligence (IJCAI) 2021 from August 19-26, 2021 in Canada. In 2019, the award was granted to Microsoft Corporation. The ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI) is one of the world's top awards in the field of AI which is given annually to individuals or teams who have transferred original advanced academic research into AI applications.
Artificial Intelligence (AI) is the latest technology development gaining significant traction in various areas of the healthcare industry, including diagnostics, patient outreach, and revenue cycle management (RCM) activities. Because revenue cycle management functions require substantial time, financial, and personnel resources, this area is particularly suited to benefit from the adaption of AI. In fact, payers and providers spend $496 billion on billing and insurance-related (BIR) costs each year. Manual and redundant tasks like coding, billing, collections, and denials become instantly simplified with appropriate artificial intelligence. AI imitates human intelligence through algorithms that identify patterns and plan for future outcomes, unlike machine learning or other robotic processes that only focus on accuracy.
Hospitals in Victoria's South West, including public health agencies under the South West Alliance of Rural Health and Barwon Health in Geelong, are set to roll out a data platform capable of real-time analysis using AI, machine learning, as well as business and clinical intelligence. The health organisations will be deploying the IRIS for Health platform by global tech provider InterSystems. The data platform, according to InterSystems's website, is specifically engineered to extract value from healthcare data. It is a standards-based platform that is able to read and write Health Level 7's Fast Healthcare Interoperability Resources (HL7 FHIR) for developing healthcare applications. It is also capable of ingesting, processing and storing transaction data "at high rates" while simultaneously processing high volume analytic workloads involving historical and real-time data. While the health providers have interconnected systems, including clinical and patient administration systems, specialist healthcare applications and data analytics solutions, they don't have a single data repository supporting real-time data analysis.
A federal rule that requires health care providers to offer patients free, convenient and secure electronic access to their personal medical records went into effect earlier this year. However, providing patients with access to clinician notes, test results, progress documentation and other records doesn't automatically equip them to understand those records or make appropriate health decisions based on what they read. "Medicalese" can trip up even the most highly educated layperson, and studies have shown that low health literacy is associated with poor health outcomes. University of Notre Dame researcher John Lalor, an assistant professor of information technology, analytics and operations at the Mendoza College of Business, is part of a team working on a web-based natural language processing system that could increase the health literacy of patients who access their records through a patient portal. NoteAid, a project based at the University of Massachusetts Amherst, conveniently translates medical jargon for health care consumers.
Several artificial intelligence algorithms developed by Epic Systems, the nation's largest electronic health record vendor, are delivering inaccurate or irrelevant information to hospitals about the care of seriously ill patients, contrasting sharply with the company's published claims, a STAT investigation found. Employees of several major health systems said they were particularly concerned about Epic's algorithm for predicting sepsis, a life-threatening complication of infection. The algorithm, they said, routinely fails to identify the condition in advance, and triggers frequent false alarms. Some hospitals reported a benefit for patients after fine-tuning the model, but that process took at least a year. Unlock this article by subscribing to STAT and enjoy your first 30 days free!
Niki Trigoni discusses how Navenio has helped hospitals during the pandemic and shares her thoughts on digital transformation. Niki Trigoni is a professor of computer science at the University of Oxford where she leads the Cyber Physical Systems group. She has 15 years of experience in intelligent sensor systems and has won several awards for her group's work on indoor and underground positioning. She is also a founder of the Centre for Doctoral Training in autonomous and intelligent machines and systems, which aims to deliver highly trained individuals versed in the underpinning sciences of robotics, computer vision, wireless embedded systems, machine learning, control and verification. Currently Trigoni is the chief technology officer of Navenio, an AI-led indoor location-based platform that aims to improve workforce efficiency in hospitals.
Healthcare innovation has helped healthcare providers offer better care and unlock new ways to enhanced treatment for larger population groups. Technology advancements such as Artificial Intelligence and machine learning can offer innovative solutions to the healthcare sector by improving care delivery options and automating tasks that can reduce administrative burden. The Healthcare Innovation Forum discusses how machine learning and AI have revolutionized healthcare through efficient data analysis which has facilitated the decision-making process. By integrating the power of AI and machine learning the healthcare ecosystem can benefit greatly through automation of manual tasks, analyzing large data to improve health outcome levels, and lowering healthcare costs. According to Business Insider, 30% of healthcare costs are related to administrative and operational tasks.
Apollo Hospitals confidently asserts that AI in healthcare is more of a need than a luxury. AI solutions and AI-powered machines are the crucial pieces of hospital infrastructure today. Reportedly, around 90% of hospitals, globally, have artificial intelligence strategies in place. Such a surge in AI adoption and integration in healthcare is justified and amplified by the COVID-19 outbreak. Sean Lane, the CEO of Olive has noted that it is incredibly promising to witness the growth of AI adoption in healthcare.
Most of us have had the experience of sending a text or email that came across sounding insensitive or angry, even though that wasn't our intent. Unfortunately, the lack of social cues in such messaging makes it much easier to be misinterpreted. Depending on the communication, this can lead to misunderstandings, hurt feelings or worse. That's a shortcoming Bellevue, Wash.-based mpathic wants to correct using empathic AI. Drawing on insights and datasets assembled over the past decade, mpathic has set out to promote human connection and understanding in the workplace.