Storytelling is a powerful form of communication and may provide insights into factors contributing to gaps in healthcare outcomes. To determine whether Large Language Models (LLMs) can identify potential underlying factors and avenues for intervention, we performed topic-aware hierarchical summarization of narratives from African American (AA) storytellers. Fifty transcribed stories of AA experiences were used to identify topics in their experience using the Latent Dirichlet Allocation (LDA) technique. Stories about a given topic were summarized using an open-source LLM-based hierarchical summarization approach. Topic summaries were generated by summarizing across story summaries for each story that addressed a given topic. Generated topic summaries were rated for fabrication, accuracy, comprehensiveness, and usefulness by the GPT4 model, and the model's reliability was validated against the original story summaries by two domain experts. 26 topics were identified in the fifty AA stories. The GPT4 ratings suggest that topic summaries were free from fabrication, highly accurate, comprehensive, and useful. The reliability of GPT ratings compared to expert assessments showed moderate to high agreement. Our approach identified AA experience-relevant topics such as health behaviors, interactions with medical team members, caregiving and symptom management, among others. Such insights could help researchers identify potential factors and interventions by learning from unstructured narratives in an efficient manner-leveraging the communicative power of storytelling. The use of LDA and LLMs to identify and summarize the experience of AA individuals suggests a variety of possible avenues for health research and possible clinical improvements to support patients and caregivers, thereby ultimately improving health outcomes.

We are Docplanner Tech, a group of people working in Engineering, BI, & Product teams across the globe, driven by the Docplanner Groups' mission to make the healthcare experience more human for our patients, doctors, and clinics; and we do it well. We are a leader in 13 countries (and growing!), creating a SaaS tool for over 130k active doctors, who are directly connected to our marketplace which is trusted by over 80m patients, monthly. We keep it simple and focus on what matters most. Patients easily book a visit and experience healthcare as it should be: humane. And doctors grow their office and dedicate time to help their patients, all whilst we cover the administration, so they don't have to!

Healthcare is one of the most complex products our economy produces. Over the next 50 years, global health megatrends will change dramatically & we are headed to face increased risks of exposure to new, emerging and re-emerging diseases, new pandemics with surging globalisation, all putting a huge pressure on the healthcare system. Massive variations in health status, lack of access to quality health care, poor health outcomes and increasing cost of care are huge concerns globally. The Freaking future of healthcare pushes us to achieve a more intuitive, responsive, empathetic, cost effective and safer health systems. Only possible when the entire ecosystem & the stakeholders raise the collective expectations of how the system performs today.

Your first thought likely goes to the doctors and nurses involved in an appointment or procedure. You might love your doctor. The last things healthcare practitioners want to spend time on are slow, disconnected, manual tasks. There is also a "before and after" to consider. To secure an appointment, you had to work with someone in scheduling.

JUPITER, Fla., Jan. 6, 2022 /PRNewswire-PRWeb/ -- Scheduled to broadcast spring/2022, the award-winning series, Advancements with Ted Danson, will discover how innovations in AI are helping employees to access, understand, and utilize their health benefits. In this segment, Advancements will explore why so many Americans lack an understanding about their healthcare benefits -- from complex rules to complicated, verbose verbiage. Viewers will learn about the many ways these complexities can negatively impact employees' health and well-being, productivity in the workplace, and ultimately, the U.S. workforce as a whole. Audiences will hear from experts at Insurights, an AI-powered startup on a mission to improve human health by giving people better access to their health benefits. The show will discover how developments in AI and technology present a solution for the industry as the Insurights team introduces Zoe, its digital healthcare navigator.

While the term "healthcare consumerism" has been used since the 1930s, today the term refers to the importance of creating a more patient or consumer-centered experience. Patients want a more integrated, seamless healthcare experience that focuses on their particular needs. Artificial intelligence (A.I.), big tech, and big data give patients more transparency, more choice, and more flexibility across the healthcare ecosystem, which helps to facilitate a more positive healthcare experience. But the use of A.I. and machine learning to improve the patient experience, particularly and most importantly in treatment outcomes, begins long before the application of telemedicine, online appointment setting, digitalization, access to real-time information and price transparency, all of which are being used within the ecosystem with varying degrees of success. Where does healthcare consumerism really begin?

The amount of unstructured and structured data being generated within healthcare has increased significantly due to factors such as an aging population and the rise of telehealth -- virtual consultations -- as a method of delivering healthcare. This has only increased during the pandemic. In this article, we explore, through various use cases showing how healthcare organisations can leverage the increasing amount of data available using artificial intelligence (AI), and machine learning (ML) and analytics to improve the patient care experience and drive operational efficiencies. Unstructured data in healthcare refers to anything from clinicians handwritten notes to prescription forms and patient call center logs. This information is increasing in volume and new ways of capturing and analyzing this data are needed.

Artificial intelligence will be blanketing the HIMSS20 conference and exhibition. It will be everywhere, in educational sessions and across the vast exhibit hall floor. Health IT vendor Optum stresses to HIMSS20 attendees that AI is of paramount concern today. That the complex set of technologies can achieve quite a lot on the administrative side and on the clinical side. Though perhaps it's best to stress the administrative first.

Healthcare is one of the most complex products our economy produces. Over the next 50 years, global health megatrends will change dramatically & we are headed to face increased risks of exposure to new, emerging and re-emerging diseases, new pandemics with surging globalisation, all putting a huge pressure on the healthcare system. Massive variations in health status, lack of access to quality health care, poor health outcomes and increasing cost of care are huge concerns globally. The Freaking future of healthcare pushes us to achieve a more intuitive, responsive, empathetic, cost effective and safer health systems. Only possible when the entire ecosystem & the stakeholders raise the collective expectations of how the system performs today.

Every year, ODSC West gets hundreds of submissions from an array of incredibly talented data science practitioners. Those submissions offer a unique insight into what are some of the most important topics in data science right now. In this article, we'll outline just a few of these topics that our speakers will be presenting on at ODSC West October 29th - November 1st. Deepfakes: Identified as one of the major threats to governments, politicians, businesses, and private individuals alike, deepfakes–both innocent and malevolent–have been dominating the news for several months. Originally only known as a side effect of GANs, deepfakes can create images, videos, and voice files capable of deceiving, at least initially, the general public.