#PatientsUseAI: Consumer (Patient) Panelist at AMIA Boston 2024
Empowering Patients with AI:A New Era of Participatory Medicine
Leading Patient Advocates Envision a Future Where AI Assists Patients as Active Partners in Healthcare
In an enthusiastic and forward-looking presentation at the American Medical Informatics Association (AMIA) conference in Boston, renowned patient advocate Dave deBronkart painted a compelling vision of how artificial intelligence (AI) can empower patients to become active partners in their own healthcare. Drawing from real-life examples and insights from fellow advocates, deBronkart made a passionate case for including patient use cases in the responsible development and deployment of AI in medicine.
DeBronkart, a cancer survivor and long-time champion of the "patients included" movement, emphasized that healthcare is a collaborative endeavor between patients and providers. The old, paternalistic model of passive patients simply following doctors' orders is rapidly giving way to a new era of participatory medicine, where patients have a vital role to play in managing their health and treatment. AI, he argued, can be a powerful tool in amplifying the patient's voice and enabling them to engage more effectively with their care team.
"We the patients have work to do, and we're using AI to do it," deBronkart declared, urging healthcare leaders to recognize patients as end-users of AI, not just passive recipients of its benefits. "If we don't include that reality in the use cases that we know we need to manage, we're going to have a blind spot – it's going to be a problem."
Solving Diagnostic Dilemmas with AI
One of the most compelling use cases for patient-driven AI is in solving diagnostic puzzles that have confounded medical professionals. DeBronkart shared the heartwarming story of a mother who, after 17 doctors failed to diagnose her child's strange symptoms over three years, turned to ChatGPT and received the correct diagnosis by inputting the full case history. This remarkable example, highlighted by renowned physician Eric Topol in a TED talk, underscores the potential of AI to unravel complex medical mysteries when leveraged by patients and their caregivers.
Organizing and Comprehending Medical Information
Beyond diagnostics, AI can assist patients in organizing and comprehending the immense volume of medical information they must navigate. DeBronkart demonstrated how he used AI to summarize and extract action items from his own lengthy annual physical notes, transforming a daunting task into an empowering exercise in self-advocacy. Similarly, his friend "DJ" used AI to craft a persuasive case for ambulatory blood pressure monitoring, presented in medical language his physician could understand.
Enhancing Patient Education and Decision-Making
AI can also play a vital role in enhancing patient education and shared decision-making. DeBronkart showcased how his friend Hugo Campos, living with a serious heart condition, leveraged AI to compare the effects of different blood pressure medications and prepare for informed discussions with his cardiologist. Campos likened the AI to an "expert assistant" that allowed him to take the conversation in any direction he desired, fostering true autonomy in his care.
Alleviating the Patient Administrative Burden
Perhaps most crucially, AI can help alleviate the often-overlooked but immense administrative burden shouldered by patients with complex conditions. Grace Cordovano, a board-certified patient advocate, outlined how she uses AI for tasks like coordinating care, drafting letters of medical necessity, and battling insurance denials – a Sisyphean endeavor she described as "pushing the boulder up the hill day after day."
A Call to Action: Inclusive AI Development
In concluding his impassioned presentation, deBronkart issued a clarion call for inclusive AI development that recognizes and accommodates the diverse needs and priorities of patients. "Our jobs to be done are often the same but sometimes different from industries," he noted, "so please include patient users."
DeBronkart's vision resonated deeply with attendees, sparking a hashtag – #PatientsUseAI – and a burgeoning social media movement dedicated to amplifying the patient voice in the responsible adoption of AI in healthcare. As the healthcare landscape continues to evolve, deBronkart's message serves as a powerful reminder that true patient-centricity requires not just good intentions but active inclusion of patients as partners in shaping the tools and systems that will define the future of care.
Understanding Dave deBronkart's Vision for Patient-Driven AI in Healthcare Quiz:
1. What was Dave deBronkart's role at the AMIA conference in Boston? a) To present the healthcare industry's perspective on AI regulation b) To present the consumer/patient perspective on responsible AI use in healthcare c) To discuss the technical aspects of AI development for healthcare d) To promote his book on patient advocacy and AI
2. According to deBronkart, what was missing from the Andreson Horowitz mapping of AI use cases in healthcare? a) The patient's role in using AI for managing their own healthcare b) The potential for AI in clinical decision support c) The use of AI for medical record transcription d) The application of AI in scheduling appointments
3. What was the significance of the story about the mom who used ChatGPT to diagnose her child's condition? a) It highlighted the potential of AI to solve complex medical mysteries b) It demonstrated the superiority of AI over human doctors c) It encouraged patients to self-diagnose using AI instead of consulting doctors d) It showed the limitations of AI in healthcare
4. How did Dave deBronkart use AI to manage his annual physical notes? a) He used AI to transcribe the doctor's notes into a more readable format b) He used AI to summarize the notes and extract action items c) He used AI to translate the medical jargon into layman's terms d) He used AI to create a visual representation of the notes
5. What did Dave deBronkart's friend "DJ" use AI for? a) To research and present a case for ambulatory blood pressure monitoring b) To diagnose his own volatile blood pressure issues c) To find a new primary care physician familiar with ambulatory blood pressure monitoring d) To create a treatment plan for managing his blood pressure
6. How did Hugo Campos, living with a heart condition, utilize AI? a) To compare the effects of different blood pressure medications b) To track and analyze his heart rate and rhythm using wearable devices c) To find and book appointments with the best cardiologists in his area d) To create a personalized diet and exercise plan for his condition
7. According to Grace Cordovano, what is the "patient administrative burden" comparable to? a) The cost of healthcare for patients b) The emotional burden of dealing with a chronic illness c) The physician administrative burden that contributes to burnout d) The challenge of navigating the healthcare system as a patient
8. What did Grace Cordovano use AI for in her work as a patient advocate? a) Drafting letters of medical necessity and handling insurance denials b) Conducting medical research and identifying clinical trials c) Creating educational materials for patients on various health topics d) Analyzing medical data and generating treatment recommendations
9. What was the significance of the hashtag #PatientsUseAI born out of deBronkart's presentation? a) It sparked a social media movement to raise awareness about patient use of AI b) It was a way for patients to share their experiences using AI for healthcare c) It was a campaign to advocate for more patient-centric AI development d) All of the above
10. According to deBronkart, why is it important to include patient use cases in AI development for healthcare? a) To ensure that AI systems are designed with patient needs and priorities in mind b) To comply with regulations and avoid legal issues c) To make AI more accessible and affordable for patients d) To promote the adoption of AI in healthcare among skeptical patients
11. What was the key message that resonated with attendees at the AMIA conference? a) The need for stricter regulations around the use of AI in healthcare b) The importance of prioritizing patient safety and privacy in AI development c) The call for active inclusion of patients as partners in shaping AI tools and systems d) The potential of AI to replace human healthcare professionals in the future
12. What was the old, archaic mental model of healthcare that deBronkart referred to? a) Patients being passive recipients of care, simply following doctors' orders b) Healthcare being primarily focused on treating acute illnesses and injuries c) Healthcare being a privilege reserved for the wealthy and elite d) Healthcare being heavily regulated and controlled by government agencies
13. What did deBronkart's friend Hugo Campos say about using AI for his chronic condition? a) "I use it to give me answers and make decisions for me." b) "I use it to help me think and explore different options." c) "I use it to replace the need for consulting with my doctors." d) "I use it solely for entertainment purposes, not for managing my health."
14. How did deBronkart describe the work that patients have to do in managing their healthcare? a) As a necessary burden that patients must endure b) As a collaborative effort between patients and providers c) As an optional activity for highly engaged patients d) As a task that should be left entirely to healthcare professionals
15. What was the key takeaway from the presentation about the responsible development of AI in healthcare? a) AI should be designed primarily for use by healthcare professionals, not patients b) AI should be strictly regulated and controlled to prevent misuse by patients c) AI should be developed with inclusive consideration of patient needs and priorities d) AI should be used solely for administrative tasks, not clinical decision-making
Answer Key:
- b
- a
- a
- b
- a
- a
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- a
- d
- a
- c
- a
- b
- b
- c
The Rise of the e-Patient: When AI Meets Patient Power
As artificial intelligence transforms healthcare, a vanguard of empowered "e-patients" are harnessing AI tools to blaze new trails in participatory medicine.
In a paradigm shift rippling across healthcare, the conventional passive patient is being reborn as the engaged "e-patient" - using artificial intelligence to take control of their medical journeys like never before. At the vanguard of this sea change is Dave deBronkart, a cancer survivor whose "e-Patient Dave" moniker has become a rallying cry for patient empowerment.
At the American Medical Informatics Association's conference in Boston this March, deBronkart issued a rousing call for the healthcare industry to incorporate and enable the rising roles of "patient users" as AI's frontier in medicine rapidly expands. His message was unequivocal: The old paternalistic model of patients as the inert, uninformed recipients of care is obsolete. Participatory medicine, where patients are active partners armed with AI-powered skills, is the future.
"Our needs, our priorities, and our jobs to be done are often the same but sometimes different from industries, so please include patient users," deBronkart implored the rapt audience of doctors, technologists, and administrators. Through compelling stories, he demonstrated that patients have already begun pioneering innovative use cases for AI - solving medical mysteries, comprehending complex data, cutting through administrative burdens, and more.
As AI's prowess exponentially expands, the e-patient vanguard could catalyze a complete reorientation of healthcare around patient autonomy and partnership. But getting there will require the industry to shed antiquated mindsets and embrace these empowered patient partners. The opportunities and ethical challenges are too great to ignore.
Sleuthing Tough Medical Cases
One of the most striking examples deBronkart shared was patients and caregivers leveraging AI language models to crack previously baffling medical cases. He recounted how a desperate mother, after 17 doctors failed to solve her toddler's mysterious illness over three years, inputted the symptoms into ChatGPT - leading to a diagnosis that doctors confirmed.
DeBronkart also cited renowned physician Eric Topol highlighting a case where an AI tool properly diagnosed a woman's condition after she had been misdiagnosed with long COVID. "If a guy like Eric Topol is saying this deserves time in his short TED Talk on AI, I think it behooves the rest of us to pay attention," deBronkart stated.
While not a substitute for medical expertise, AI is emerging as a powerful supplemental diagnostic tool, augmenting human doctors' abilities by connecting disparate data points and considering unconventional perspectives. As these AI capabilities grow, the implications for patients trapped in diagnostic odysseys are profound - AI could potentially help unlock answers more rapidly by considering factors that physicians may overlook.
Digesting Complex Medical Information
Another prominent use case deBronkart presented was patients using AI language models to organize, summarize, comprehend, and extrapolate insights from the overwhelming flood of medical data and information they must navigate as engaged patients.
He shared how he copied his latest dense annual physical notes into ChatGPT and had the AI extract clear summaries and action items - "making it easier for me to be a more informed, prepared, focused patient." His friend Hugo Campos demonstrated how he leverages AI to deepen his understanding of medical studies and develop iterative learning conversations tailored to his comprehension level as he manages his dangerous heart condition.
As medicine becomes increasingly personalized yet exponentially more complex, patients are discovering AI's value in cutting through informational clutter to focus on the knowledge most relevant to their unique situations. The era of promisingly arrives where patients can surmount the barriers of specialized jargon to develop genuine understanding of their health and treatment options at their own pace, guided by AI tutors.
Reducing Administrative Overload
One of the most vital roles deBronkart spotlighted was how e-patients are using AI to mitigate the immense, exhausting administrative burdens of modern healthcare - from coordination of care to insurance appeals to locating specialists. Patient advocate Grace Cordovano testified to using AI for myriad administrative tasks, underscoring how burdensome these responsibilities have become.
"It is work, and people out here who know about it are starting to use the AI to help do the work," deBronkart explained. Just as AI is being deployed to reduce physicians' administrative workloads, e-patients are early pioneers in offloading Administrative tasks to artificial intelligences.
As healthcare's complexity exponentially escalates on both the clinical and bureaucratic fronts, these e-patient vanguards could be pathfinders in demonstrating how AI can alleviate burnout-inducing busywork - freeing humans to focus on the emotional intelligence and personal rapport aspects that machines cannot replicate.
From Educated Patients to Partners
Perhaps deBronkart's most impassioned message was the urgent need to reframe the patient-provider relationship as a true partnership of peers working together toward shared goals. He lambasted the antiquated "come in and get told what to do" mentality as toxically outdated and blind to the capabilities many e-patients possess.
In place of learned helplessness, deBronkart envisions AI-empowered e-patients equipped to have substantive consultative dialogues that steer their care as respected partners rather than passive bystanders. He cited his friend DJ, concerned about volatile blood pressure, using AI to thoroughly research ambulatory blood pressure monitoring and draft a compelling, physician-level briefing that persuaded his provider to initiate that treatment path together.
"A patient using artificial intelligence to make the case, progress move forward in a way that didn't take a huge amount of the professionals' time," marveled deBronkart. As AI unlocks patients' abilities to consolidate fragmented knowledge into cohesive insights, ask intelligent questions, and articulate preferences, the one-way lecturer-pupil dynamic could give way to bidirectional peers collaborating and debating.
A Blind Spot No More
In closing, deBronkart emphasized that even the most comprehensive mappings of AI's future in healthcare still have a glaring omission - the patient perspective. He highlighted Andreessen Horowitz's widely-shared graphic covering AI use cases across the healthcare spectrum as "a great graphic" but crucially "a giant blind spot" in leaving out patient use cases entirely.
DeBronkart issued an impassioned call to consciously incorporate and enable the roles of "patient users" as stakeholders and partners in how AI shapes healthcare's future. "The opportunity is to extend all the benefits of the patients included movement into the new future where large language models are a big help to us."
His #PatientsUseAI hashtag aims to raise awareness that as impactful as AI will be for providers and industry players, some of the most potentially transformative use cases may be grassroots innovations directly empowering patients to become equally capable, respected partners.
As healthcare AI blooms forth, the old model of passive, uninformed patients subjugated to clinicians as demigod authorities is fading. Engaged, educated e-patients equipped with AI's augmented capacities for understanding, advocating and collaborating are signaling a new era of participatory medicine built on true partnership. The self-described "e-Patient" vanguard could be the catalyst that finally makes that long-overdue vision a reality.
Resources
- e-Patient Dave Blog Post: Include patient users in co-creation of AI and related policy. The need is urgent!
- e-Patient Dave Patients Use AI Blog: Welcome to the #PatientsUseAI Substack
Please use the above article and this ChatGPT 4o article Dave deBronkart published in the YouTube description to write a 2500+ word article in the style of a new york times medical reporter in an upbeat, enthusiastic, authoritative tone * Write a headline, sub-headline * Write a 300+ word introduction * Write topic headers * Write summaries under each topic header
Dave deBronkart, famously known as "e-Patient Dave," is a cancer survivor and a staunch advocate for patients' active involvement in their healthcare. In his recent presentation at the American Medical Informatics Association (AMIA) conference in Boston, Dave discussed the vital role of patients in the healthcare ecosystem and the necessity of integrating their perspective into the use of artificial intelligence (AI) in healthcare. Dave began by sharing his journey and the importance of patients being active partners in their healthcare. He then presented a comprehensive overview of how AI is currently utilized in healthcare, citing examples from Andreessen Horowitz's mapping of AI applications, which range from clinical tasks like automated transcription of doctor visits to non-clinical tasks like scheduling appointments. However, he pointed out a significant oversight: the patient's role and the work they do outside the traditional healthcare system. Dave highlighted that patients are also end users of AI and stressed that their involvement is crucial for a truly collaborative healthcare system. He emphasized that AI should not only assist healthcare professionals but also empower patients to manage their health more effectively. To illustrate his point, he shared several compelling stories: 1. *Difficult Diagnoses:* Dave recounted the story of a child whose undiagnosed symptoms were eventually identified by ChatGPT after being overlooked by 17 different doctors. This case exemplifies the potential of AI to aid in diagnosing complex medical conditions, especially when traditional methods fall short. 2. *Organizing Medical Information:* Dave described his personal experience using AI to organize and summarize extensive medical notes from his annual physical. By leveraging AI, he could efficiently extract actionable items and better manage his health. 3. *Patient Advocacy:* He shared the story of his friend DJ, who used AI to articulate his case for ambulatory blood pressure monitoring to his physician assistant. By generating a detailed, well-researched argument with AI's help, DJ successfully advocated for his preferred healthcare approach. 4. *Chronic Condition Management:* Dave discussed how his friend Hugo Campos, living with hypertrophic cardiomyopathy, uses multiple AI tools to monitor his condition and prepare for medical consultations. Hugo's use of AI to compare medications and understand complex medical information highlights AI's role as a critical thinking aid rather than just an answer provider. Dave underscored the importance of recognizing and addressing the patient administrative burden, which parallels the well-documented physician administrative burden. He called for AI solutions that help patients navigate the complexities of healthcare administration, from coordinating care to handling insurance denials. Dave urged the healthcare industry to include patient use cases in AI development. He advocated for extending the benefits of the "patients included" movement into the AI-driven future, ensuring that AI tools address the diverse needs and priorities of patients. By doing so, the healthcare system can foster a more inclusive, collaborative, and effective environment for all stakeholders. Dave's presentation serves as a powerful reminder that the future of healthcare lies in embracing patient empowerment and leveraging AI to support and enhance the patient experience. His call to action encourages healthcare professionals, policymakers, and AI developers to work together to create a more patient-centered healthcare system that truly values and incorporates the patient's voice. By sharing his insights and real-world examples, Dave deBronkart continues to champion the cause of patient empowerment, advocating for a healthcare system where patients are not just passive recipients of care but active, informed, and engaged partners in their health journey.
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