Call us toll-free: 800-878-7828 — Monday - Friday — 8AM - 5PM EST
By by Trey La Charité, MD, FACP, SFHM, CCDS for ACDIS CDI Blog People are human. This goes for clinicians, coders, and for CDI personnel. Mistakes happen. If left unchecked, however, mistakes become habits. Effective CDI programs understand this and take appropriate steps to ensure occasional mistakes don’t become recurring bad habits. Since the structure and…
By Andis Robeznieks for American Medical Association Speech-recognition software is a tool that any size health care organization can use as part of their systematic efforts to improve the quality of the care they deliver and the experience of an office visit for patient and clinician alike. So say two physicians who helped to implement…
By Angie Stewart for Becker’s ASC Review Insurers may wrongly deny a claim and hope providers don’t notice it’s actually a covered service, according to medical coding and billing specialist Steven Verno. Mr. Verno shared the following tip for appealing a non-covered service on LinkedIn: “You need proof that the insurance company is wrong. The…
By Tom Sullivan for Healthcare IT News AI is already having a big impact, but strategic planning is not keeping pace and healthcare organizations need to be proactive about developing tools now. Healthcare executives expect artificial intelligence to be among the most impactful technologies fueling innovation, but few are crafting strategies to advance emerging AI…
By Jackie Drees for Becker’s Hospital Review Vishal Bhatia, MD, chief medical information officer at RCCH HealthCare Partners in Brentwood, Tenn., discusses the evolution of his role as CMIO and how artificial intelligence, natural language processing and voice recognition technologies can improve healthcare. Responses are lightly edited for clarity and length. Question: How has your role…
By Greg Slabodkin for Health Data Management While healthcare is experiencing an explosion of interest in artificial intelligence and machine learning, medical schools must do a better job of educating future clinicians about the technology. That’s the contention of researchers at the Boston University School of Medicine, who published a perspective article on Thursday in…
By Beth Jones Sanborn for Healthcare Finance While a majority of patients say they would consider the technologies to diagnose cancer and recommend treatment, they still fear costs. What Happened A new survey from McKesson and Ipsos revealed widespread openness toward AI and genetic testing as a solution for cancer diagnosis, but concern about cost…
Leontina Postelnicu for Healthcare IT News The machine learning model uses 600 variables with patient’s data whereas human-constructed models made predictions based on 27, researchers say. Scientists have designed a model using Artificial Intelligence that can predict risk of death in patients with coronary heart disease (CHD) better than expert-constructed models. According to a new…
By Parmy Olson for Forbes The lights were dimmed in an auditorium packed with doctors on Wednesday night at London’s Royal College of Physicians. They were there to find out how AI might fundamentally change the way they work. On stage Dr. Mobasher Butt, a director at digital healthcare startup Babylon Health, stood before a podium…
By The Medical Futurist Team for The Medical Futurist The medical community should not fall for the fearmongering around A.I. At the dawn of the Fourth Industrial Revolution, automation and digitization are turning the job market upside down. Many fear that robots, A.I., and automation, in general, will take their jobs without alternatives. The same…