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BEGIN:VEVENT
UID:MEC-1e3efda407ac3298fc58bf92e22919a9@ontariomd.live
DTSTART:20261001T151500Z
DTEND:20261001T160000Z
DTSTAMP:20260825T181600Z
CREATED:20260825
LAST-MODIFIED:20260911
SUMMARY:Integrating AI-generated clinical tools into EMRs: a rheumatology case-based experience
DESCRIPTION:\nRecommended for: Specialists and clinic managers. Open to all attendees interested in the topic. \n\n\n\nDr. Kanji will demonstrate how artificial intelligence (AI) can be used to create customized clinical eForms that integrate into EMRs, providing point-of-care access to disease activity calculators, diagnostic criteria tools, percentage-change calculations, and bone and muscle health modelling. These tools support standardized patient assessment, longitudinal tracking of clinical outcomes, and visualization of disease progression and treatment response. \n\n\n\nHe will also share how AI-generated eForms can be integrated into routine clinical workflows. Participants will learn how these tools can support patient engagement through visualization of health data, improve documentation by storing assessments directly in the patient record, and support clinical decision-making through timely access to relevant measures and calculations. \n\n\n\nParticipants will gain practical insights into the opportunities, limitations and considerations associated with using large language models (LLMs) to develop clinician-facing digital tools that support evidence-informed care in rheumatology and other specialty practices. \n\n\n\nLearning Objectives: \n\n\n\nBy the end of this session, participants will be able to: \n\n\n\n\nDescribe how AI-generated eForms can integrate disease activity measures, diagnostic criteria and clinical calculators into EMR workflows. \n\n\n\nIdentify opportunities to improve patient assessment, documentation and longitudinal disease monitoring through point-of-care digital tools. \n\n\n\nEvaluate the potential benefits and limitations of using AI-generated tools to support clinical decision-making. \n\n\n\n\nPresented by:\n\n\n\n\nTahir Kanji, MD, Rheumatologist, Ultimate Diagnostics Inc\n\n\n\n\n\n\n\n\n\nPresenter Bios:\n\n\n\n\n\n\n\n\n\n\n\n\nTahir Kanji, MD\n\n\n\nDr. Tahir Kanji is a community-based Rheumatologist practicing in North York and Richmond Hill. He also covers the Rheumatology service at North York General Hospital. Dr. Kanji sees a wide variety of Rheumatology problems including systemic autoimmune rheumatic disease, chronic pain, degenerative MSK syndromes, myopathy and metabolic bone disease.\n\n\n\n\n\n\n\n\n.wp-block-kadence-advancedbtn.kb-btns33125_32bc1d-c0{gap:var(--global-kb-gap-xs, 0.5rem );justify-content:center;align-items:center;}.kt-btns33125_32bc1d-c0 .kt-button{font-weight:normal;font-style:normal;}.kt-btns33125_32bc1d-c0 .kt-btn-wrap-0{margin-right:5px;}.wp-block-kadence-advancedbtn.kt-btns33125_32bc1d-c0 .kt-btn-wrap-0 .kt-button{color:#555555;border-color:#555555;}.wp-block-kadence-advancedbtn.kt-btns33125_32bc1d-c0 .kt-btn-wrap-0 .kt-button:hover, .wp-block-kadence-advancedbtn.kt-btns33125_32bc1d-c0 .kt-btn-wrap-0 .kt-button:focus{color:#ffffff;border-color:#444444;}.wp-block-kadence-advancedbtn.kt-btns33125_32bc1d-c0 .kt-btn-wrap-0 .kt-button::before{display:none;}.wp-block-kadence-advancedbtn.kt-btns33125_32bc1d-c0 .kt-btn-wrap-0 .kt-button:hover, .wp-block-kadence-advancedbtn.kt-btns33125_32bc1d-c0 .kt-btn-wrap-0 .kt-button:focus{background:#444444;}\nul.menu .wp-block-kadence-advancedbtn .kb-btn33125_126e88-d9.kb-button{width:initial;}.wp-block-kadence-advancedbtn .kb-btn33125_126e88-d9.kb-button{color:#ffffff;background:#1e5634;text-transform:capitalize;border-top:0px solid #555555;border-right:0px solid #555555;border-bottom:0px solid #555555;border-left:0px solid #555555;margin-top:20px;margin-bottom:0px;}.wp-block-kadence-advancedbtn .kb-btn33125_126e88-d9.kb-button:hover, .wp-block-kadence-advancedbtn .kb-btn33125_126e88-d9.kb-button:focus{color:#ffffff;background:#481465;border-top-color:#444444;border-top-style:solid;border-right-color:#444444;border-right-style:solid;border-bottom-color:#444444;border-bottom-style:solid;border-left-color:#444444;border-left-style:solid;}@media all and (max-width: 1024px){.wp-block-kadence-advancedbtn .kb-btn33125_126e88-d9.kb-button{border-top:0px solid #555555;border-right:0px solid #555555;border-bottom:0px solid #555555;border-left:0px solid #555555;}}@media all and (max-width: 1024px){.wp-block-kadence-advancedbtn .kb-btn33125_126e88-d9.kb-button:hover, .wp-block-kadence-advancedbtn .kb-btn33125_126e88-d9.kb-button:focus{border-top-color:#444444;border-top-style:solid;border-right-color:#444444;border-right-style:solid;border-bottom-color:#444444;border-bottom-style:solid;border-left-color:#444444;border-left-style:solid;}}@media all and (max-width: 767px){.wp-block-kadence-advancedbtn .kb-btn33125_126e88-d9.kb-button{border-top:0px solid #555555;border-right:0px solid #555555;border-bottom:0px solid #555555;border-left:0px solid #555555;}.wp-block-kadence-advancedbtn .kb-btn33125_126e88-d9.kb-button:hover, .wp-block-kadence-advancedbtn .kb-btn33125_126e88-d9.kb-button:focus{border-top-color:#444444;border-top-style:solid;border-right-color:#444444;border-right-style:solid;border-bottom-color:#444444;border-bottom-style:solid;border-left-color:#444444;border-left-style:solid;}}Register Now!\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
X-ALT-DESC;FMTTYPE=text/html:
Recommended for: Specialists and clinic managers. Open to all attendees interested in the topic.
Dr. Kanji will demonstrate how artificial intelligence (AI) can be used to create customized clinical eForms that integrate into EMRs, providing point-of-care access to disease activity calculators, diagnostic criteria tools, percentage-change calculations, and bone and muscle health modelling. These tools support standardized patient assessment, longitudinal tracking of clinical outcomes, and visualization of disease progression and treatment response.
He will also share how AI-generated eForms can be integrated into routine clinical workflows. Participants will learn how these tools can support patient engagement through visualization of health data, improve documentation by storing assessments directly in the patient record, and support clinical decision-making through timely access to relevant measures and calculations.
Participants will gain practical insights into the opportunities, limitations and considerations associated with using large language models (LLMs) to develop clinician-facing digital tools that support evidence-informed care in rheumatology and other specialty practices.
Learning Objectives:
By the end of this session, participants will be able to:
- Describe how AI-generated eForms can integrate disease activity measures, diagnostic criteria and clinical calculators into EMR workflows.
- Identify opportunities to improve patient assessment, documentation and longitudinal disease monitoring through point-of-care digital tools.
- Evaluate the potential benefits and limitations of using AI-generated tools to support clinical decision-making.
Presented by:
- Tahir Kanji, MD, Rheumatologist, Ultimate Diagnostics Inc
Presenter Bios:
Tahir Kanji, MD
Dr. Tahir Kanji is a community-based Rheumatologist practicing in North York and Richmond Hill. He also covers the Rheumatology service at North York General Hospital. Dr. Kanji sees a wide variety of Rheumatology problems including systemic autoimmune rheumatic disease, chronic pain, degenerative MSK syndromes, myopathy and metabolic bone disease.
