There has been a lot of talk this week, both in the healthcare world and beyond, about Artificial Intelligence (AI). Babylon's AI chatbot was released a few weeks ago, and has since come under some scrutiny, on social media and from the press, as to its accuracy in diagnosing patients correctly. IBM Watson, a system developed for many years now and which has cost the technology company billions of dollars, was also questioned as to its efficacy in a hospital setting, and whether it helped doctors to speed up and improve their diagnostic processes. At Isabel, we have several core beliefs that all feed into our mission of improving diagnosis. While we do not wish to directly address the Babylon and IBM Watson cases, the talk around AI has definitely intensified over the last few days, and we want to be part of that conversation.Read More
Isabel Healthcare Blog
Over the last decade, the use of AI and digital tools within the healthcare sector has grown exponentially, from improving a product for monitoring or treating conditions such as a heart monitor or an artificial pancreas, to creating a system that can help a doctor to do their job in the most efficient way, such as a symptom checker or a differential diagnosis tool. There are now a large range of symptom checkers on the market, and a growing interest in their use, not just at home by patients, but as a tool in doctors' surgeries and hospitals to help with care direction, initial presentation of symptoms, and patient engagement. With so many tools available, it is difficult to distinguish the different types of symptom checkers, what they can offer and how they can be used in a professional medical environment. We’ve written a white paper on patient engagement and symptom checkers, outlining the need for such tools, the different types available, and the best way to test and implement a symptom checker in an institution. In this blogpost, we will discuss one element of that white paper, touching on the different types of symptom checkers you can find on the market today, and their pros and cons.Read More
At Isabel Healthcare we are constantly striving to help improve the world of diagnosis through our tools, our own research and content, and our encouragement of independent studies into the diagnostic process. In 2012, we released a free symptom checker tool that was based on our professional system, the Isabel Symptom Checker. This enables patients to research their symptoms and conditions using validated resources, to help doctors and patients alike to understand and interpret their symptoms. In recent years, the discussion around, and push for, better patient engagement, means institutions are searching for effective ways to engage with the patients they treat. We believe a symptom checker is a brilliant way to engage patients in their own health.Read More
Every year we like to highlight the World Health Organization (WHO) World Health Day, and this year is no different. We’ve written on many subjects from food poisoning to diabetes to mental health. This year, WHO have decided to focus on Universal Healthcare (UHC), a subject which has been the driving mission behind WHO since its conception in 1948. Their “Health for All” campaign encompasses not only ensuring quality healthcare is available for everyone around the globe, but also the services and attitudes towards our healthcare systems, in order to make them as efficient as possible.Read More
At Isabel we have blogged about, talked about and even researched the ideas of Artificial Intelligence (AI) in healthcare extensively, so the concept that technology has a place in the world of healthcare is not new to us. Indeed, Isabel itself is considered to be AI, as its complex algorithms and deep learning system allow it to learn new clinical features as people use it, meaning it can cover an almost infinite number of signs and symptoms and match them to over 10,000 diagnoses. This week Apple have announced that they will be bringing their employee healthcare in-house, with what they are saying will be a “unique concierge-like healthcare experience” that is “enabled by technology.” As what many would call the leaders in technology advancement today, it is exciting to think what Apple healthcare may look like, and how these two worlds may collide.Read More
Back in 2015 we wrote a post for the New Year on pediatric medical breakthroughs of the past year. This year has been another brilliant year for finding new treatments and ways to diagnose both our most common illnesses, and also some of the more rare diseases. We’ve rounded up three of the landmark medical developments of 2017, as we reflect on the past year and look forward to 2018.
Vinita Parkash, MD, a professor of pathology at Yale School of Medicine, published a blogpost last week on “The Cost of Assuming your Doctor Knows Best.” This candid post was extremely interesting, as was the comments section, and we wanted to give our take on the whole thing on our own blog.Read More
The National Patient Safety Foundation (NPSF) and Institute for Healthcare Improvement (IHI) have just published a survey of “Americans’ Experiences with Medical Errors and Views on Patient Safety” and the results are truly shocking.Read More
As you will have noticed, over the last year we have changed the look, feel and functionality of our Isabel Professional DDx Generator and Isabel Healthcare Website. Changes to the layout of the tool have helped maximize efficiency, and updates to the website and tool’s style have modernized the feel of Isabel. We even introduced the new Likelihood Indicator to the tool after a large internal study highlighted the proficiency of the DDx Generator to rank diagnoses.Read More
It is nearly two years since the Insitute of Medicine (IOM) released their landmark study and report on "Improving Diagnosis in Healthcare" warning us all that this endeavour was a "moral, professional, and public health imperative.” We blogged about the study at the time, detailing and commenting on the results and report, particularly highlighting the shortcomings when it came to mentioning Health IT and the benefits this could have on improving the diagnostic field.
This week, the publication Scientific American published a very interesting article on digital health, detailing the ways in which Health IT can and already is helping clinicians make better diagnostic decisions. Indeed, some of the things mentioned in this article written by Dina Fine Maron were in direct correlation with recommendations of the study, and with principles we have been promoting for years, so it is brilliant that this issue gets light in any form, be that a study, and article, or a conversation in a bar.Read More