Guest: Dr. Stephon Proctor from Children's Hospital of Philadelphia Hosts: Adam Carewe and Dale Gold

Overall Summary: In this episode, Dr. Stephon Proctor discusses his journey from clinical psychology to informatics, the implementation of AI in healthcare, and the future of technology in the medical field. He shares insights on the challenges and successes of integrating AI tools to improve efficiency and reduce clinical burden.

Section Summaries

Introduction [00:00:08]

The hosts introduce the podcast and the guest, Dr. Stephon Proctor, highlighting his role as a behavioral health clinician and informatics director at Children's Hospital of Philadelphia.

Dr. Proctor's Journey [00:03:04]

Dr. Proctor shares his background, from his early interest in technology and psychology to his current role in informatics. He discusses his educational path and how he combined his passion for technology with his clinical work.

Informatics and Clinical Workflow [00:09:56]

Dr. Proctor explains the role of informatics in bridging the gap between clinical workflows and technology. He emphasizes the importance of understanding both the clinical and technical aspects to create effective solutions.

AI in Healthcare [00:11:23]

The discussion shifts to the implementation of AI in healthcare, specifically the use of large language models (LLMs) like ChatGPT in the EHR system. Dr. Proctor talks about the benefits and challenges of using AI to draft patient messages and reduce clinical burden.

Pilot and Implementation [00:13:30]

Dr. Proctor describes the pilot phase of implementing AI tools at CHOP and the transition to a full-scale rollout. He shares data on adoption rates and time savings, highlighting the differences in usage between physicians and nurses.

Prompt Engineering [00:14:48]

The conversation delves into prompt engineering, where Dr. Proctor explains how instructions are given to LLMs to guide their responses. He discusses the art of creating effective prompts and the challenges of adapting to changes in AI models.

Addressing Privacy Concerns [00:18:23]

Dr. Proctor addresses privacy concerns related to AI in healthcare, particularly in pediatric settings. He explains how CHOP ensures that sensitive information is protected when using AI tools.

Future of AI in Healthcare [00:27:30]

The hosts and Dr. Proctor speculate on the future of AI in healthcare. They discuss the potential for AI to handle more complex tasks, the integration of domain-specific models, and the importance of maintaining human oversight.

Nerd Alert Round [00:37:37]

The hosts engage Dr. Proctor in a rapid-fire round of questions, covering topics like his favorite efficiency hacks, home automation, and his interests outside of work.

Closing Remarks [00:49:51]

Dr. Proctor offers advice to early-career clinicians interested in informatics and technology. The hosts thank him for his insights and wrap up the episode.

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In this episode of "NerdMDs Efficiency Unlocked," hosts Adam Carewe and Dale Gold interview Adam Cherrington, Vice President of Digital Health and Patient Voice at KLAS Research. They discuss the importance of patient engagement in healthcare, the role of technology in improving patient experiences, and the future of healthcare innovation.

Introduction [00:00:12]

The hosts introduce the episode and their guest, Adam Cherrington. They discuss the importance of improving patient experiences in healthcare and set the stage for the conversation.

Adam Cherrington's Journey [00:02:42]

Adam shares his journey into healthcare technology, his passion for patient engagement, and personal experiences that shaped his career. He highlights the importance of personalized care and accessibility in healthcare.

What is KLAS? [00:09:56]

Adam explains the mission and work of KLAS, an independent research and consulting firm dedicated to improving healthcare. He discusses the company's history, its role in providing transparency in healthcare, and its impact on the industry.

Digital Health and Patient Voice [00:14:01]

Adam delves into his specific role at KLAS, focusing on digital health and patient engagement. He discusses the challenges and opportunities in patient engagement, the importance of involving patients in their care, and the evolving landscape of healthcare technology.

Patient Voice Collaborative [00:22:52]

Adam introduces the Patient Voice Collaborative, a new initiative by KLAS to include patient perspectives in healthcare IT. He shares insights from early patient interviews and discusses the potential impact of this collaborative effort on healthcare organizations.

Future of Healthcare [00:35:35]

The hosts and Adam discuss the future of healthcare, including the importance of data interoperability, better patient-provider communication, and the need for consumer-friendly healthcare solutions. They share their hopes and dreams for a more integrated and efficient healthcare system.

Nerd Alert Round [00:40:05]

The episode concludes with a fun "Nerd Alert" round, where Adam Cherrington answers light-hearted questions about his personal preferences and interests, adding a touch of humor and personality to the conversation.

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In this episode, Ruben Amarasingham discusses the latest advancements at Pieces, focusing on their innovative system to classify, detect, and prevent hallucinatory errors in clinical summarization. The conversation delves into the development and impact of their proprietary Safe Read platform, the challenges faced, the October publication they released to the public, and the future of AI in healthcare.

Section Summaries

Introduction [00:00:01]

Adam Carewe welcomes Ruben Amarasingham back to the podcast, highlighting the recurring guest status and setting the stage for a discussion on the latest developments at Pieces.

Overview of Pieces' Whitepaper [00:01:40]

Adam introduces the main topic of the episode: a whitepaper by Pieces titled "A system to classify, detect, and Prevent Hallucinatory Error in Clinical Summarization." He provides a high-level summary of the paper, emphasizing the importance of addressing hallucinations in AI-generated clinical summaries.

Reuben's Insights on the Whitepaper [00:04:20]

Reuben elaborates on the motivation behind the whitepaper, explaining the significance of creating accurate and reliable clinical summaries. He discusses the challenges of hallucinations in large language models and the framework Pieces developed to classify and mitigate these errors.

Development of the Classification Framework [00:07:36]

Ruben shares the history and development process of the classification framework, highlighting the importance of inter-rater reliability and the rigorous testing involved. He introduces the Safe Read platform, which helps measure and manage hallucinations in clinical summaries.

Safe Read Platform and Its Impact [00:11:23]

The conversation shifts to the Safe Read platform, an internal tool used by Pieces to detect and address hallucinations. Ruben explains how the platform works, its components, and the continuous improvement process through adversarial AI and knowledge graphs.

Challenges and Evolution of Safe Read [00:13:38]

Ruben discusses the challenges faced in developing and iterating the Safe Read platform. He highlights the importance of human intervention in improving the system and the role of adversarial AI in detecting hallucinations.

Impact of Safe Read on Clinical Summarization [00:18:46]

Ruben talks about the positive impact of the Safe Read platform on reducing hallucinations in clinical summaries. He explains how the system has evolved to address less severe hallucinations and improve the overall accuracy and reliability of summaries.

Industry Standards and Regulatory Challenges [00:22:19]

The discussion touches on the lack of industry benchmarks for AI systems in healthcare and the role of regulatory bodies. Ruben shares insights on Pieces' interactions with the Texas Attorney General and the importance of transparency and reporting in AI development.

Future Directions for Pieces [00:33:15]

Ruben outlines the future goals for Pieces, including expanding the Safe Read platform to other forms of AI documentation and patient interactions. He discusses the potential for collaboration with other AI companies and the broader impact on healthcare.

Closing Thoughts and Nerd Alert Questions [00:42:05]

Adam wraps up the conversation with some light-hearted "nerd alert" questions, asking Ruben about his favorite ways to relax, recent books he's read, and skills he wants to master. Ruben shares his love for reading, spending time with family, and his interest in art and AI-driven creative projects.

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Overall Summary

In this episode of "Efficiency Unlocked," Dr. David Canes, a board-certified urologist and founder of Wellprept, discusses his journey from experiencing burnout to creating a health technology company aimed at improving patient education and physician efficiency. The conversation covers the origins of Wellprept, its impact on both doctors and patients, and the future potential of patient education technology.

Introduction [00:00:00]

Dr. David Canes, a board-certified urologist, is introduced as the guest. He shares his passion for strategies that help doctors work more efficiently, which led him to found Wellprept, a company focused on improving patient education.

Background and Inspiration [00:02:53]

Dr. Canes talks about his background, including his upbringing and education. He explains how his experiences with repetitive tasks and burnout in his medical practice inspired him to create Wellprept as a solution to improve efficiency and patient care.

The Birth of Wellprept [00:05:46]

Dr. Canes describes the initial steps he took to develop Wellprept, starting with creating educational links for patients and evolving to recording detailed video explanations. He highlights the positive feedback from patients and the improved quality of interactions.

Expansion and Adoption [00:14:21]

The discussion shifts to the growth of Wellprept, including its adoption by other doctors and specialties. Dr. Canes explains how the platform allows for personalized patient education and the benefits it brings to both doctors and patients.

Future of Patient Education [00:23:11]

Dr. Canes shares his vision for the future of patient education, emphasizing the importance of high-touch interactions and the potential for Wellprept to improve public health outcomes by providing quality educational materials to a large audience.

Nerd Alert Round [00:40:01]

In a lighter segment, Dr. Canes answers fun and personal questions, revealing his favorite song, the animal he would like to be, and his favorite efficiency tools. He also discusses the importance of physician-led businesses in health technology.

Closing Thoughts [00:46:36]

Dr. Canes emphasizes the value of physician-led businesses in solving real problems in healthcare. He encourages physicians with entrepreneurial ideas to pursue them and highlights the potential for technology to enhance the medical profession.

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Summary: NerdMDs Podcast host Adam Carewe MD demonstrates Google NotebookLM, highlighting its capabilities as a study guide and content generator, including creating AI-hosted podcasts. Watch this one on the NerdMDs Substack or YouTube Channel! He uses a Elion Briefing newsletter on large language models in healthcare as an example.

Introduction (0:00 - 1:30):

* Overview: Adam introduces Google NotebookLM, explaining its purpose as a study guide and content generator.

Using NotebookLM (1:31 - 5:00):

* Features: Adam shows how to feed different sources into NotebookLM, including lecture documents, web sources, and more.

* Example: He uses a newsletter from Alien Briefing on large language models in healthcare.

AI-Generated Podcast (5:01 - 10:00):

* Podcast Creation: Adam demonstrates how NotebookLM can create a podcast with AI hosts using the provided sources.

* Content: The AI hosts discuss the potential and challenges of large language models in healthcare.

Healthcare Applications (10:01 - 15:00):

* Deep Dive: The AI hosts delve into the practical applications of large language models in healthcare, including personalized treatment plans and the importance of accuracy and reliability.

Ethics and Transparency (15:01 - 20:00):

* Concerns: Discussion on the ethical implications, transparency, and accountability of using AI in healthcare.

Conclusion (20:01 - End):

* Final Thoughts: Adam wraps up by emphasizing the importance of collaboration between doctors and AI developers and the need for responsible implementation of AI in healthcare.

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Summary: Craig Limoli, founder of Wellsheet, discusses his journey from IBM Watson Health to creating Wellsheet, a platform designed to streamline clinical workflows and improve efficiency for healthcare providers. He highlights the importance of predictive data, seamless EHR integration, and the impact of generative AI on their solutions.

Podcast Summary:

Introduction and Background (00:00:01 - 00:03:02)

* Craig Limoli’s Journey: Craig shares his background, including his time at IBM Watson Health, where he identified the need for better clinical technology, leading him to found Wellsheet.

* Founding Wellsheet: He discusses his decision to leave IBM and pursue an MBA at Wharton, where he launched Wellsheet to address the frustrations clinicians faced with existing technologies.

Wellsheet’s Core Functionality (00:03:02 - 00:06:47)

* Chart Review Focus: Wellsheet aims to consolidate all necessary patient information onto one sheet, reducing the need for clinicians to navigate multiple screens.

* Predictive Data: The platform uses predictive algorithms to highlight the most relevant information for clinicians, improving decision-making efficiency.

Integration and Scalability (00:06:47 - 00:11:26)

* EHR Integration: Craig explains how Wellsheet integrates with major EHR systems like Epic, Cerner, and Athenahealth, providing a seamless user experience across inpatient and outpatient settings.

* Scalability: The platform’s ability to scale across different healthcare settings and its lightweight deployment process are highlighted.

Impact of Generative AI (00:11:26 - 00:14:39)

* AI Integration: Craig discusses the integration of generative AI to automate and enhance clinical workflows, such as generating documentation and discharge plans.

* Trust and Verification: Emphasis on the importance of having source data available for verification to build trust among clinicians.

User Experience and Feedback (00:14:39 - 00:19:56)

* Clinician Feedback: Craig shares anecdotes about the positive feedback from clinicians who have found Wellsheet to be a valuable tool in their daily workflows.

* Operational Efficiency: The platform’s impact on reducing chart review time, EHR time, and improving overall operational efficiency is discussed.

Future Directions and Use Cases (00:19:56 - 00:28:14)

* Expanding Functionality: Craig talks about future plans for Wellsheet, including more advanced AI features and broader use cases.

* EHR Transitions: The platform’s role in easing transitions between different EHR systems is highlighted as a significant benefit for health systems.

Conclusion and Contact Information (00:28:14 - 00:40:50)

* Key Takeaways: Craig summarizes the key benefits of Wellsheet, including trustworthiness, scalability, and ROI.

* Contact Information: Listeners are encouraged to visit Wellsheet’s website or contact Craig directly for more information.

Nerd Alert Round (00:40:50 - 00:43:05)

* Personal Insights: Craig shares personal preferences and insights, including his favorite movie and what he would be doing if he weren’t leading Wellsheet.

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In this episode, Dr. Yair Saperstein from Avo discusses the evolution of clinical decision support tools, the journey from being a physician to a tech entrepreneur, and how Avo aims to improve clinician workflows and patient outcomes through innovative technology.

Podcast Summary

Introduction [00:00:07]

* Hosts Introduction: Adam Carewe and Dale Gold introduce the podcast and the guest, Dr. Yair Saperstein.

* Guest Background: Dr. Saperstein shares his background, including his medical education and early tech interests.

Early Medical Tools and Technology [00:00:29]

* Medical School Memories: Discussion about the heavy reliance on physical books and early electronic devices like Palm Treo and BlackBerry.

* Transition to Digital: The shift from physical books to digital tools and the challenges faced during this transition.

Evolution of Clinical Decision Support [00:02:20]

* Current Tools: Mention of tools like UpToDate and the evolution from dictation to AI scribing.

* Future Vision: Dr. Saperstein’s vision for integrating AI and digital tools seamlessly into clinical workflows.

Founding Avo [00:03:04]

* Inspiration and Journey: Dr. Saperstein’s journey from physician to entrepreneur, meeting his co-founder PJ, and the initial concept of Avo.

* Building the Team: The importance of aligning stakeholders and the support received from the medical community.

Avo’s Impact and Functionality [00:14:13]

* Digital Front Door for Clinicians: How Avo aims to provide a comprehensive digital tool for clinicians, integrating EHR data and guidelines.

* Clinical Examples: Practical examples of how Avo can streamline workflows and improve efficiency in clinical settings.

Technical Details and Customization [00:24:00]

* Backend Builder: Explanation of the no-code customizable backend builder for creating tailored workflows.

* Integration with EHR: How Avo integrates with existing EHR systems to provide seamless support without additional burden on IT.

ROI and Use Cases [00:33:16]

* Return on Investment: Discussion on the significant time savings and improved metrics achieved by using Avo.

* Success Stories: Specific examples from Pediatric Care and other health systems demonstrating the effectiveness of Avo.

Conclusion [00:36:09]

* Final Thoughts: Hosts and Dr. Saperstein discuss the future of clinical decision support and the potential for further innovation.

* Encouragement: Dr. Saperstein encourages clinicians to embrace new technologies to improve patient care and clinician well-being.

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Nicole Bocskocsky discusses her journey in healthcare, her role in founding Elaborate, and how the company aims to solve the in-basket problem for clinicians by providing proactive solutions to patient inquiries, and other things that land in a clinicians EHR in basket.

Introduction [00:00:01]

* Welcome and Introduction: Adam and Dale welcome Nicole to the podcast and express their excitement about having her on the show.

Nicole’s Background and Journey [00:00:44]

* Career Path: Nicole shares her background in consulting and her transition to healthcare, highlighting her work with Oscar Health and Parsley Health.

* Passion for Problem-Solving: She emphasizes her love for solving complex problems in healthcare and her mission to improve care delivery.

Founding Elaborate [00:04:30]

* Inspiration and Challenges: Nicole talks about the inspiration behind starting Elaborate, the initial hurdles, and how her personal experiences influenced the company’s mission.

* Elaborate’s Mission: The company aims to eliminate the in-basket problem by addressing patient and practitioner needs upfront.

Elaborate’s Approach and Technology [00:09:27]

* Proactive Solutions: Nicole explains how Elaborate’s technology works by using a deterministic algorithm to provide personalized summaries of lab results, reducing the need for follow-up messages.

* Integration with EMRs: The solution integrates seamlessly with EMRs like Epic, providing immediate and contextualized lab result summaries to patients.

ROI and Adoption [00:23:37]

* Measuring Success: Nicole discusses how Elaborate measures ROI, including reductions in in-basket volume and improvements in patient satisfaction.

* Patient and Practitioner Benefits: She highlights the positive feedback from both patients and practitioners, emphasizing the reduction in follow-up messages and improved understanding of lab results.

Patient Experience [00:30:06]

* User Interface: Nicole describes how the patient experience is enhanced through detailed and personalized lab result summaries available in patient portals or custom apps.

* Longitudinal Health Tracking: The platform provides a comprehensive view of a patient’s health history and trends over time.

Closing Thoughts and Lightning Round [00:34:51]

* Favorite Aspects of the Job: Nicole shares her favorite part of her job, which is solving problems daily.

* Dream Job: She humorously mentions that if she weren’t doing her current job, she would love to be involved in high-stakes event planning like the Met Gala.

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In this episode, Dr. CT Lin discusses the transformative role of AI in healthcare, the importance of storytelling in medical informatics, and the collaborative efforts to improve patient care through technology. He shares insights from his journey in informatics and highlights the impact of predictive AI and ambient documentation on clinical practice.

Dr. CT Lin’s Background [00:01:16]

* Storytelling Importance: Dr. Lin emphasizes the role of storytelling in healthcare.

* Medical Errors: He discusses the potential for patients to help identify medical errors in their records.

AI in Healthcare [00:02:05]

* AI Applications: Dr. Lin talks about AI’s role in reducing mortality rates at UCHealth.

* Predictive AI: He explains how predictive AI has saved lives by improving response times to patient deterioration.

Journey into Informatics [00:05:02]

* Early Career: Dr. Lin shares his journey from being a “chief complainer” about hospital systems to becoming a leader in informatics.

* Challenges and Changes: He reflects on the rapid changes in healthcare technology and the need for adaptability.

Future of Informatics [00:10:03]

* Short-Term Planning: Dr. Lin discusses the shift from long-term to short-term planning in healthcare due to rapid technological advancements.

* Generative AI: He speculates on the future capabilities of generative AI in healthcare.

Regional Collaboration [00:16:36]

* Rescue Conference: Dr. Lin talks about the upcoming Rescue Conference, aimed at fostering collaboration among healthcare systems.

* Sharing Knowledge: The importance of sharing ideas and innovations to improve healthcare.

Storytelling in Informatics [00:19:28]

* Open Notes: Dr. Lin recounts his 16-year journey to implement Open Notes, emphasizing the power of storytelling in driving change.

* Patient Engagement: He highlights the benefits of transparency and patient involvement in their own care.

AI Use Cases at UCHealth [00:27:34]

* Predictive AI Success: Dr. Lin shares success stories of predictive AI at UCHealth, including significant reductions in sepsis-related mortality.

* Generative AI: He discusses the implementation of generative AI for drafting patient messages and notes, highlighting both successes and challenges.

Risks and Benefits of AI [00:34:13]

* Productive Friction: Dr. Lin talks about the potential loss of critical thinking if AI takes over note-writing.

* Maintaining Quality: He stresses the importance of maintaining the quality and accuracy of medical documentation.

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In this episode, Elad Walach, CEO and co-founder of Aidoc, discusses the evolution and impact of AI in healthcare, focusing on clinical AI applications, the challenges of AI integration, and the future potential of AI in improving patient care and healthcare workflows.

Episode Summaries with Timestamped Sections:

Elad’s Background [00:00:45 - 00:02:20]

* Career Path: Elad talks about his transition from the Israeli Air Force to healthcare, driven by a passion for technology and its impact on people’s lives.

* Influence: He mentions his father’s influence, who played a key role in IBM’s Watson Health.

Founding Aidoc [00:02:20 - 00:04:57]

* Company Origin: Elad explains the founding of Aidoc in 2016, focusing on addressing care gaps and AI fragmentation in healthcare.

* Initial Challenges: He discusses the challenges of scaling AI solutions and the importance of building a robust platform.

AI in Clinical Use [00:04:57 - 00:10:56]

* Precision AI: Elad differentiates between precision AI for clinical use and administrative AI, emphasizing the need for accuracy and validation.

* Generalizability: He highlights the current limitations of AI in generalizability and the importance of human oversight.

AI-Driven Care Pathways [00:10:56 - 00:16:33]

* Examples: Elad provides examples of AI-driven care pathways, such as detecting pulmonary embolism and aortic aneurysm, and their impact on patient outcomes.

* Integration: He discusses the integration of AI solutions across different departments to improve care coordination.

Platform Development [00:16:33 - 00:25:29]

* Building the Foundation: Elad talks about the importance of investing in a scalable platform to support AI solutions.

* Customer Success: He shares success stories from customers like the University of Miami and Yale, highlighting significant improvements in care follow-up rates.

Future of AI in Healthcare [00:25:29 - 00:30:04]

* Complexity of Care: Elad discusses the challenges of managing complex care and the potential of AI to streamline clinical workflows.

* Change Management: He emphasizes the need for effective change management to implement new AI-driven workflows.

Consumer-Facing AI [00:30:04 - 00:34:37]

* Patient Interaction: The hosts and Elad explore the potential and risks of consumer-facing AI in healthcare, stressing the importance of reliability and education.

* Use Cases: They discuss potential use cases for AI in patient care navigation and the need for careful implementation.

Differentiation and Impact [00:34:37 - 00:38:03]

* Strategic Approach: Elad highlights Aidoc’s unique approach of combining scalable platforms with point solutions.

* Urgency: He expresses a sense of urgency to deploy AI solutions widely to improve healthcare outcomes.

Closing Remarks [00:38:03 - 00:39:32]

* Contact Information: Elad provides his contact information and encourages listeners to reach out for further discussions.

* Nerd Alert Round: The hosts transition to a fun segment with personal questions for Elad.

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