Dr. Lance B. Eliot is a world-renowned expert on Artificial Intelligence (AI) with over 7.4+ million amassed views of his AI columns. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.
In today’s column, I am continuing my ongoing series about the impact of generative AI in the health and medical realm. The focus this time is once again on the role and importance of empathy in the practice of medicine and healthcare. I will be sharing with you a newly devised technique that leans into an empathetic process to overcome or at least ameliorate medical misconceptions or myths that patients might hold.
The latest twist in this coverage is that I will introduce to you this time a recently formulated technique referred to as the Empathetic Refutational Interview . Here’s what I am going to discuss. First, I will provide some overarching background about why such a technique is needed and indubitably useful. Second, I will dive into the crux of the ERI technique and provide empirical research underlying the approach.
Another way to respond would be to sharply tell the patient to take it or leave it. You’ve done your due diligence and it is up to the patient to take the next step. A horse brought to water cannot be made to drink the elixir. Of course, this is a sadly short-shrift of medical ethical practices in the sense that you ought to at least make a sincere attempt to get your patient to understand and hopefully proceed on a medically beneficial pathway.
All of these regardless of priority or perceived importance do entail the potential inclusion of an empathetic process that can serve to mindfully guide a medical doctor or healthcare professional. In some instances, the process might be elongated and deeply employed, such as in the case of vaccine discussions, while in other instances such as toilet seats or green mucus, the process might be lighter and breezy.
“To effectively address misinformed beliefs about vaccination, communicators must go beyond simply refuting these and show an understanding of people’s underlying motivations for their beliefs.” The gist of the stated approach is that rather than refuting a patient’s medical misbelief in a head-to-head brass-knuckles way, you employ a dab of empathy. Sugar makes the medicine go down, as they say.
“Underlying the ERI is the principle of empathy, conceptualized in healthcare settings as a response that communicates one’s understanding of the patient’s experiences, concerns, and perspectives.” . In my view, and as mentioned when I referred to Lewin’s three-stage model of change, there should be a fifth step that entails “freezing in place” the results of the four steps. Right now, the fourth step primarily has to do with providing factual information. It isn’t a so-called “closer” in that to me there should be a closing step that seals the deal, as it were.
“On top of tailoring, refuting health misinformation in an empathetic way may be judged as more reliable and satisfying than refuting it directly and factually.” . The research paper includes an example of a dialogue that abides by the four-step ERI technique. I thought you’d find of interest the example since it turns the conceptual nature of the approach into a quite tangible affair.
“Patient: “Yeah, I try not to overmedicate. I never take medication unless I really need it. I probably don’t even go through one pack of paracetamol a year.”“HCP: “It’s normal to think so. Some medicines do get overused and prescribed when they aren’t needed. I can see why you would wonder if this is the case for vaccines as well.”“HCP: “That’s a good question. It’s one that people do ask, and I think we don’t always realize that we only keep the vaccines that are really needed on the schedule.
There is also a timing factor to be considered. A prompt that worked today might not work the same way tomorrow. Most of the generative AI apps are continually being updated. The updates might alter internal mechanisms that could change how the generative AI reacts to your prompting.My first action entails bringing ChatGPT up to speed on the four-step process of the Empathetic Refutation Interview technique.
I would suggest that the dialogue produced by ChatGPT looks reasonable and comports with the dialogue that we saw in the research paper. A semblance of empathy was expressed by the doctor. The back-and-forth about vaccines was akin to what a patient might say and how a doctor would respond when using the ERI technique.All in all, I believe this seems to suggest that the generative AI has pattern-matched on the four-step process and can make use of it when needed.
“Patient: I think you are telling me that being focused solely on the number of glasses of water is somewhat misleading. Is that the case?”“Doctor: Yes, it’s worth noting that you can get water from a variety of sources, including fruits, vegetables, and other beverages like tea and coffee. So, while drinking water is important, it's not the only way to stay hydrated.”“Doctor: That sounds like a great plan.
I opted to use the vaccines topic again, along with entering my remarks akin to what the patient did in the research example that was shown earlier.: “I want you to do this again, but this time interactively with me. I will be the patient. You will be the doctor. As the pretend patient, I don’t believe in vaccines. Do you understand how to proceed?”: “Step 1: Elicit concerns.
Large Language Models Llms Generative AI Chatgpt Openai Medical Doctors Healthcare Empathy Empathetic Refutational Interview
South Africa Latest News, South Africa Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
‘Tiny Lights’ Review: Empathetic Czech Drama Sees the World Through a Child’s EyesA six-year-old girl deals with various concerns while unaware of familial turmoil in Beata Parkanova's Karlovy Vary-premiering feature.
Read more »
Why Generative AI Threatens Examination Integrity, Creativity And LearningDewayne Hart is SEMAIS President and CEO. Read Dewayne Hart's full executive profile here.
Read more »
Unlocking The Future: Why Investing In Hardware Is Vital For Advancing Generative AIMarc Bolitho is the CEO of Recogni, developer of AI-based inference processing solutions for Gen AI and intelligent autonomous platforms. Read Marc Bolitho's full executive profile here.
Read more »
Generative AI Killer Applications For The EnterpriseMuddu Sudhakar, Investor, Board Member and CEO of AISERA, Inc., an AI Service Management (AISM) Company. Read Muddu Sudhakar's full executive profile here.
Read more »
Generative AI: A Jigsaw Piece, Not The Complete PuzzleJames Duez, co-founder and CEO at Decision Intelligence company Rainbird Technologies, talks about AI trust and explainability. Read James Duez's full executive profile here.
Read more »
‘Cheap Fake’ Videos Getting Nabbed Via Generative AIDr. Lance B. Eliot is a world-renowned expert on Artificial Intelligence (AI) with over 7.4+ million amassed views of his AI columns. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.
Read more »