Pat Mongkolwat, PhD

𝐍𝐞𝐰 𝐡𝐞𝐚𝐥𝐭𝐡 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 – digital health, drug developments, AI, innovations in diagnosis and treatment – 𝐚𝐫𝐞 𝐯𝐚𝐬𝐭𝐥𝐲 𝐢𝐦𝐩𝐫𝐨𝐯𝐢𝐧𝐠 𝐩𝐚𝐭𝐢𝐞𝐧𝐭𝐬' 𝐥𝐢𝐯𝐞𝐬, 𝐫𝐢𝐠𝐡𝐭? 𝐍𝐨𝐭 𝐬𝐨 𝐟𝐚𝐬𝐭. 𝐀𝐜𝐫𝐨𝐬𝐬 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝, 𝟓𝟓% 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐰𝐢𝐥𝐥 𝐡𝐚𝐯𝐞 𝐚 𝐧𝐞𝐠𝐚𝐭𝐢𝐯𝐞 𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐧 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞, 𝐰𝐢𝐭𝐡 𝟔𝟑% 𝐢𝐧 𝐭𝐡𝐞 𝐔.𝐒. 𝐬𝐡𝐚𝐫𝐢𝐧𝐠 𝐭𝐡𝐚𝐭 𝐛𝐞𝐥𝐢𝐞𝐟 (see the graphic). 2024 Edelman Trust Barometer, Special Report: Trust and Health https://lnkd.in/gXNzTXpX 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬: 𝐀𝐜𝐜𝐞𝐩𝐭𝐚𝐧𝐜𝐞 𝐨𝐟 𝐀𝐈 𝐇𝐞𝐚𝐥𝐭𝐡 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 (slide 12): Patient interaction – chatbot for medical inquiries I reject this innovation – 42% I embrace this innovation – 25% Drug development – antibiotic discovery I reject this innovation – 32% I embrace this innovation – 32% Medical diagnosis – identification of abnormalities I reject this innovation – 31% I embrace this innovation – 32% 𝐒𝐨 𝐰𝐡𝐨 𝐝𝐨 𝐩𝐞𝐨𝐩𝐥𝐞 𝐭𝐫𝐮𝐬𝐭? 𝐈 𝐭𝐫𝐮𝐬𝐭 “𝐦𝐞” 𝐚𝐧𝐝 𝐦𝐲 𝐏𝐂𝐏. (Slide 22) "I expect each to play a big or huge role in making sure I am as healthy as possible:" Myself – 85% My primary care provider – 79% Government – 50% My employer – 41% Business – 33% NGOs – 32% Media – 31% 𝐄𝐝𝐞𝐥𝐦𝐚𝐧 𝐨𝐟𝐟𝐞𝐫𝐬 𝟒 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 (slide 34) 1) Depoliticize health 2) Fight the health information crisis 3) Leverage provider influence 4) Put me in charge of my health 𝐂𝐨𝐦𝐦𝐞𝐧𝐭𝐚𝐫𝐲: There’s great wisdom in recommendations 3 and 4 for any companies seeking to “disrupt” existing healthcare providers, e.g., digital health startups, Big Tech, Big Retail. Patients will tend to distrust you! “Disruption” is a long and likely unproductive slog. There’s also great wisdom for care providers, especially for PCPs. “You are trusted, but don’t take it for granted. Use that trust to empower patients.” One final grain of salt -- the wording of the question leads the respondent: "I believe technology will have a negative impact..." Better wording would have been "Do you believe that tech will have a negative or positive impact...?" #AI #Trust #DigitalHealth The Fast Future Executive

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👉🏼 Performance Assessment of GPT 4.0 on the Japanese Medical Licensing Examination 🤓 Hong-Lin Wang 👇🏻 https://lnkd.in/e5zjBAjG 🔍 Focus on data insights: - 🌟 The correct response rate of GPT 4.0 on the Japanese Medical Licensing Examination questions reached 80.4%, indicating a strong ability to parse and respond to complex medical inquiries. - 📊 Significant variations in accuracy were observed across different question difficulty levels and types, highlighting the importance of contextual understanding in AI responses. - 🔍 The Global Quality Scale

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【The Development of the "Monitoring Application for Inappropriate Expressions in Nursing Records" for PsyNACS©】 Full article: https://lnkd.in/geb8J-S3 (Authored by Hirokazu Ito, et al., from Tokushima University Graduate School (Japan), etc.) Countries such as Japan that face a super-aging society and a decline in the working-age population have been recommended for use of advanced information and communications technology (#ICT) to improve the efficiency of medical treatment and care. This study develops the "#Monitoring_Application for Inappropriate Expressions in #Nursing_Records" for use with Psychiatric Nursing Assessment Classification System (#PsyNACS©), which will enable psychiatric nursing plans to harness the advantages of ICT.

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A Year of Journal Articles (Day 289/365): Kim, Young Il, Kyung Hwan Kim, Hyuk-Jin Oh, Youngbeom Seo, Sae Min Kwon, Kyoung Su Sung, Kyuha Chong, and Min Ho Lee. "Assessing the suitability of artificial intelligence-based chatbots as counseling agents for brain tumor patients: A comprehensive survey analysis." World Neurosurgery (2024). Summary: 🧠 Study investigated how AI chatbots answer brain tumor patient questions. 🧠Popular social media and health information access led to the study. 🧠ChatGPT-3.5, Bing Chat, and Google Bard were evaluated. 🧠Brain tumor committee provided questions commonly asked by patients. 🧠No significant difference in accuracy or communication among chatbots. 🧠Bing Chat and Bard showed more empathy than ChatGPT. 🧠Study aimed to identify chatbot shortcomings for medical use. 🧠AI chatbots offer convenient access to medical information. 🧠Medical professionals reviews are needed to ensure chatbot information accuracy.

Professor #ZheZhang #张喆 from Shenzhen Bay Laboratory shared insights on patient-specific #iPSCs in hypertrophic cardiomyopathy (HCM) research, noting that co-culturing #hiPSC-CMs with cardiac fibroblasts impairs cardiomyocyte relaxation. He found that this impairment is related to increased secretion of extracellular matrix proteins, rather than calcium ion dysregulation. His research offers new methods and ideas for treating HCM, with patient-specific iPSCs poised to become a promising therapeutic avenue. #HelpTherapeutics #StemCell #HELPTX #CardiacRegeneration #MedicalInnovation #HELPtherapeutics #LiveBetterLonger

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An Osaka Metropolitan University research looked into the environmental costs of #AI in #healthcare and proposes measures to ensure #sustainable application of the technology. https://lnkd.in/gVQ2aFPJ #medicine #SDG3 #radiology #imaging #artificialintelligence #sustainability #SDGs

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Title: "Artificial Intelligence and Radiologist Burnout" Authors: Hui Liu, PhD; Ning Ding, MD; Xinying Li, MD; Yunli Chen, MSc; Hao Sun, MD, MPH; Yuanyuan Huang, PhD; Chen Liu, MD; Pengpeng Ye, PhD; Zhengyu Jin, MD; Heling Bao, PhD; Huadan Xue, MD Published: November 22, 2024, in JAMA Network Open A recent study published in JAMA Network Open examines the relationship between artificial intelligence (AI) usage and burnout among radiologists. Key Insights: • Increased Burnout Linked to AI Use: The study found that frequent use of AI in radiology is associated with higher odds of burnout, particularly emotional exhaustion. • Dose-Response Relationship: A significant dose-response association was observed, meaning that the more frequently AI was used, the greater the reported burnout. • Impact of Workload and AI Acceptance: The association between AI use and burnout was more pronounced among radiologists with high workloads and those with lower acceptance of AI technologies. • Need for Thoughtful Integration: These findings highlight the importance of integrating AI tools harmoniously to support radiologists without exacerbating stress or burnout. Relevant FDA Guidance: Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan: Emphasizes the importance of Good Machine Learning Practices (GMLP), transparency, user trust, and continuous monitoring of AI/ML systems. Reference: https://hubs.li/Q02ZLYgf0 Takeaways for Medical Device Professionals: • Prioritize User-Centered Design: Develop AI tools with a focus on usability and workflow integration to support radiologists effectively. • Enhance Education and Training: Provide comprehensive training programs to increase AI acceptance and proficiency among radiology professionals. • Monitor and Mitigate Workload Impact: Assess how AI implementation affects workloads and implement strategies to prevent additional stress on clinicians. Read the Full Article: • "Artificial Intelligence and Radiologist Burnout" • By Hui Liu, PhD; Ning Ding, MD; et al. • Published November 22, 2024, in JAMA Network Open, Volume 7, Issue 11, e2448714 Access the Article Here: https://hubs.li/Q02ZL-Gn0 Join the Conversation: • How can AI be integrated into radiology practice to support clinicians while minimizing burnout risks? • What strategies can help increase AI acceptance among medical professionals? • How can regulatory frameworks guide the development of AI tools that prioritize clinician well-being? Let's collaborate to ensure that AI innovations in radiology enhance patient care and support the professionals who utilize them daily. #ArtificialIntelligence #Radiology #MedicalDevices #RegulatoryAffairs #AIinHealthcare #ClinicianWellbeing #HealthcareInnovation

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Taiwan stands at the threshold of becoming a super-aged society, making precision medicine a critical priority. 🏥 The Taiwan National Health Research Institutes (NHRI) and ASUS have signed a Letter of Intent to collaborate across three key areas: computing power, data, and next-generation medical information. This partnership aims to establish a comprehensive smart medical ecosystem. Leveraging ASUS's #AI computing power, the #xHIS Next-Gen Healthcare Information Platform, the #Lumos real-world data platform, and NHRI's extensive medical expertise, together, both parties will accelerate the research, development, and application of medical information technology, paving the way for Taiwan's biomedical data infrastructure and ushering in a transformative era in healthcare. 🌟 Discover more about the collaboration between the NHRI and ASUS (article in Chinese): https://lnkd.in/gS2xeRwY Check out the video to learn more about xHIS🎥https://lnkd.in/gATyciPK

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Technology is transforming healthcare! The Digital Pathology Center at Zhejiang University will digitize and analyze 20 million slides in just 2 years, scanning 23,000 slides daily. This innovation saves time, effort, and costs while revolutionizing data management. #DigitalPathology #HealthcareInnovation #Efficiency

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Explore Taiwan's historical journey in health technology assessment (HTA) efforts in this policy report by Raoh-Fang (Jasmine) Pwu, Yen-Shu Cheng, Wen-Wen Yang, and Grace Hui-Min Wu. They categorize HTA's chronological development in this country into four phases: 1. Organizing the HTA function (2007–2008) 2. Capacity building (2009–2012) 3. Attempts to establish a National HTA Center (2013–2015) 4. Expanding HTA functions as an organizational subsidiary (2015–present) Building on their thorough analysis, the authors offer key recommendations for the effective institutionalization and advancement of HTA in Taiwan. Access the full article here: https://bit.ly/4bHCtMU Volume 9, Issue 3, 2024 - Center for Global Development

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