AJMC - The American Journal of Managed Care’s Post

Simplifying Dermatology Documentation with Advanced Transcription Like all medical fields, timely documentation and transcription are crucial in dermatology. Dermatologists deal with a wide array of skin conditions, from acne to skin cancer, and perform various procedures on their patients. To navigate this complexity effectively, many practices turn to specialized dermatology transcription services integrated with Electronic Health Records (EHRs). Let’s dive into how these services boost efficiency, accuracy, and overall patient care. Read More... https://lnkd.in/dESHaxjP #transcriptionapp #transcriptionist #transcriptioncompany #transcriptionservices #Dermatologist #documentation #transcription #MedicalTranscription #medicolegal #speechtotext #AudioToText #AI

Thoughts on this? >> Health-specific embedding tools for dermatology and pathology >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #mhealth #industry40 #healthtech #AI #IoT

Thoughts on this? >> Health-specific embedding tools for dermatology and pathology >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #IoT #AI #healthtech #industry40 #mhealth

🌿 AI is quietly revolutionizing dermatology. Here’s how 👇 🔍 In teledermatology, AI is enhancing remote diagnostics and patient care. Imagine getting expert skincare advice without stepping out of your home! 📝 AI is now adept at crafting dermatology case reports, matching the expertise of human professionals. This marks a significant leap in AI's understanding of complex medical data. 🤖 A deep dive into AI in dermatology reveals its expansive role, from educating patients to assisting in intricate diagnoses. For a more in-depth understanding, explore these insightful articles 👇 1. ChatGPT in Dermatology: A Comprehensive Systematic Review 👉 https://lnkd.in/dpZ--CdC 2. The Artificial Intelligence in Teledermatology: A Narrative Review on Opportunities, Perspectives, and Bottlenecks 👉 https://lnkd.in/deMQkjQH 3. AI-derived Dermatology Case Reports are Indistinguishable from Those Written by Humans: A Single Blinded Observer Study 👉 https://lnkd.in/daZ_EFjs 🔁 Your support in resharing this post is greatly appreciated! Thank you for spreading the word. #Dermatology #AI #MedicalInnovation PS: Stay ahead with latest updates about AI in medicine. Subscribe to my newsletter 👉 https://lnkd.in/d592FFSJ

👉🏼 Pediatric dermatologists versus AI bots: Evaluating the medical knowledge and diagnostic capabilities of ChatGPT 🤓 Charles Y Huang 👇🏻 https://lnkd.in/ensy9x7T 🔍 Focus on data insights: - Human pediatric dermatology clinicians generally outperformed both ChatGPT iterations - ChatGPT-4.0 demonstrated comparable performance in some areas 💡 Main outcomes and implications: - Potential of AI tools in aiding clinicians with medical knowledge and decision-making - Emphasizes the need for continual advancements and clinician oversight in using such technologies 📚 Field significance: - Evaluating AI's role in pediatric dermatology - Balancing AI capabilities with human expertise 🗄️: [#pediatricdermatology #AIbots #medicalknowledge #decisionmaking #clinicianoversight]

👉🏼 The utility of artificial intelligence platforms for patient-generated questions in Mohs micrographic surgery: a multi-national, blinded expert panel evaluation 🤓 Kyle C Lauck 👇🏻 https://lnkd.in/eArzEujj 🔍 Focus on data insights: - 📊 75% of responses from AI platforms were rated as mostly accurate or higher. - 🧑⚕️ 33% of the generated responses were deemed sufficient for clinical practice by the expert panel. - 📚 The mean comprehensibility score indicated a required reading level of 10th grade for all platforms evaluated. 💡 Main outcomes and implications: - ✅ LLM-generated responses are considered appropriate sources of patient information. - ⚠️ Limitations exist regarding the sufficiency of information for clinical environments. - 🔍 Complex language may hinder patient understanding and utilization of AI-generated content. 📚 Field significance: - 🌐 Highlights the growing role of AI in patient education within dermatology. - 🩺 Emphasizes the need for dermatologists to understand the limitations of AI tools. - 📈 Suggests further research is needed to improve the accuracy and comprehensibility of AI-generated medical information. 🗄️: [#artificialintelligence #dermatology #patienteducation #Mohsmicrographicsurgery #largeLanguagemodels #clinicalpractice #AIlimitations]

Exciting to see discussions of AI in Dermatology!

👉🏼 Ethical Considerations for Artificial Intelligence in Dermatology: A Scoping Review 🤓 Emily R Gordon 👇🏻 https://lnkd.in/euiSVqk7 🔍 Focus on data insights: - AI applications in dermatology are rapidly increasing, from skin cancer detection to language models like ChatGPT. - Ethical concerns arise regarding misdiagnosis, data security, privacy violations, and job displacement of dermatologists. 💡 Main outcomes and implications: - Limited representation of skin of color in datasets may lead to potential misdiagnosis in the general population. - Teledermatology raises ethical concerns such as health disparities, lack of regulations, informed consent for AI use, and privacy challenges. - Patients prefer supplemental assessment by a physician to ensure reliability and accountability of AI responses. 📚 Field significance: - Integration of AI in dermatology enhances patient access, clinical decision-making, and efficiency. - Safeguards are necessary to ensure ethical applications of AI in dermatology. 🗄️: #AI #Dermatology #EthicalConsiderations #DataInsights

The recent paper titled 'Can Large language models provide secondary reliable opinion on treatment options for dermatological diseases?’ (https://lnkd.in/gHVjCjzj) published in the Journal of the American Medical Informatics Association (JAMIA) (https://lnkd.in/gHxCjRdN) unveils the impact of ChatGPT in dermatology. This study assesses ChatGPT's drug recommendations in dermatology, identifying areas for improvement in accuracy and comprehensiveness. Integrating medical domain-specific knowledge for ongoing optimization could enhance ChatGPT's precision in the future. 💡 ChatGPT demonstrates high effectiveness (98.87% approval rate from dermatologists) but requires human validation for accuracy and bias mitigation. 👩 Advancing AI in dermatology, study emphasizes the need for accuracy refinement and bias mitigation for fair healthcare outcomes. The authors of this collaborative ChatGPT for Dermatology research include Distinguished Professor  Yu-Chuan Jack Li from Taipei Medical University along with: Usman Iqbal, University of New South Wales (UNSW) Leon Tsung-Ju Lee, Taipei Medical University & Taipei Medical University Hospital Annisa Ristya Rahmanti, Universitas Gadjah Mada (UGM) Leo Anthony Celi, Massachusetts Institute of Technology, Harvard T.H. Chan School of Public Health, and Harvard Medical School Yu-Chuan Jack Li, Taipei Medical University & International Medical Informatics Association (IMIA) To read the full paper, check out the link: https://lnkd.in/gmzPBPjp #largelangaugemodels #chatgpt #artifiicalintelligence #dermatology #skin #healthcare #digitalhealth

Is AI a useful a tool for dermatology? It all depends on the application! I would love to hear your thoughts. Thanks to The Dermatologist for the feature!