Sword Health’s Post

Science speaks truth! This is just another reason that what SOAP Health has deployed to market is truly superior to any other methodology of patient intake, whether digital or live. Embodied AI also doesn’t judge or show bias. As a reminder, SOAP Health holds a broad patent on the use of embodied AI as a medical interviewer and has developed and market deployed a one of a kind 100% voice based animated character interviewer. Embodied AI or digital humans have been academically proven to collect more truthful information. Here’s two take-aways from the latest study hot off the wire. “That means patients are likely to withhold even true and reasonable beliefs in order to minimize the risk of being viewed negatively by their doctor.” And "Doctors need to overcome their tendency to judge patients, and actively encourage patients to share their thoughts—even their incorrect ones—much more freely than they currently do." As a summary of the study states, “When an individual visits their doctor, they aren't supposed to keep secrets. Unless patients are forthcoming about their symptoms, behaviors, and health-related beliefs, it's hard for health care professionals to effectively diagnose and treat illnesses—or to advise and educate patients about how to take better care of themselves in the future.” SOAP is the best possible way to get the most truthful, accurate, and complete info. Seeing is believing. Ask for a demo today at https://soap.health. See study: https://lnkd.in/eUQ2fSCP #diagnosis #primarycare #medicalpractice #internalmedicine #patientintake #medicalhistory #trust #truth #letssavelives #physician #nursepractitioner #physicianassociate

Could AI chatbots help treat depression? Chatbots could help treat depression by offering advice that falls more closely in line with clinical guidelines than human doctors and medical health professionals. Tools could be less prone to bias, sometimes found in regular decision-making, implying better patient outcomes:

AI is helping patients understand their medical data and make informed decisions. And you don’t have to make an appointment and wait for weeks to get this insight. Combine access to data records (including images) with the latest generative AI analysis, and you get the attention a doctor can only provide to their own children. So empowering! #ai #genai #healthcare

Timely and thought-provoking piece Hugo Campos. Totally agree that "a new model of participatory medicine must be considered, based on a partnership between patients and their advanced AI agents." The current discussion is too focused on how AI can streamline healthcare delivery, reduce clinician burnout, etc. It's time for researchers to consider how empowered patients will use AI to reshape their care.

A glossary of LLM-related terms ... ✍🏻 Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, Zifan Chen, Yi Xie, Jie Zhao, Quanzheng Li, Yang Chen, Li Zhang, Lin Shen, Bin Dong. Large language models illuminate a progressive pathway to artificial intelligent healthcare assistant, Medicine Plus, 2024, 100030, ISSN 2950-3477. DOI: 10.1016/j.medp.2024.100030

🤔 Can LLMs help address the patient evidence gap? 📚 Physicians might not always have the right evidence available to provide the best care for specific patients. The evidence gap occurs due to the complexities of finding relevant and available treatment information or lack of decision supporting publications. 💡 Dr. Saurabh Gombar shares research findings about 5 LLMs' performance on addressing patient evidence gap and ranks the models based on: Relevance, Reliability & Actionability. #AI4Health #AI #Healthcare #LLM #Data #HealthcareInnovation #DataStrategy #DataInsights #LargeLanguageModels

Did you happen to miss Dr. Isaac Kohane's lecture regarding the intersection of #GenerativeAI and #Medicine? Fear not, you can catch up on the insightful discussion here:

My article titled "Ethical Ramifications of Utilizing AI-Driven Facial Recognition Technology in Pain Assessment of Nonverbal Patients" has just been published in the Journal of Hospital Ethics. The paper argues while AI-Driven Facial Recognition Technology holds a lot of promise, a close ethical scrutiny by medical professionals and health organizations is pertinent for the deployment and integration of AI-driven FRT for pain assessment to mitigate bias and unequal outcomes in nonverbal patients. https://lnkd.in/esGnTreB #aiethics #aiinhealthcare

Critical conversations in medicine include "discharge conversations" and "consent conversations": Ambient tech & Gen AI can help. An example is when a patient leaves the hospital, clinic, or E.R., there are is a priority rank to what we would like them to remember. Currently, we have "discharge summary" or "visit summary". Yes, Gen A.I. will be able summarize this, but it maybe overwhelming. Capturing the heart of the "discharge conversation" which is our last interaction, deserves a special place as we remember the most intense and last parts of our experience. Reinforcement of these critical conversations can change comprehension, motivation, accountability, and outcomes.

This is something meaningful to Doctors who are usually well aware of this, but even more for IT/AI/Tech guys who think they can assimilate the biology of health and disease to some kind of algorithm. #health #disease #ai #meaning #heatlhcare #biology #medicine