Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Session Overview
Session
Vendor session V-2: Wolters Kluwer
Time:
Tuesday, 18/Jun/2019:
1:30pm - 2:00pm

Location: Room 114

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Presentations
ID: 271 / Vendor session V-2: 1
Product presentation

AI at the Point of Care: The Value of Teaching VisualDx to Your Clinicians

Annechino Michael J.

Wolters Kluwer - Ovid, Finland

The presentation will address three main topics: The history and construct of differential diagnosis and clinical reasoning; Using and teaching technology at the point of care (POC); a product demonstration of VisualDx newest AI feature called DermExpert.

This presentation will take you through the journey that began with Dr. Larry Weed and the development of the problem-oriented health record. This created the foundation for electronic health record system design and the processes by which clinicians use symptoms, data, and clinical reasoning at the point of care.

This approach must be enhanced by technology as Dr. Weed railed against rote memorization to tackle diagnostic decision-making. VisualDx is set apart from other tools and we will show you why: We begin with the problem. We guide you through the process. We visualize the answer.

Finally, we will showcase the innovative new product feature from VisualDx called DermExpert – a take-a-picture feature on mobile devices that can analyze an image of a skin complaint and recognize the type of lesion to aid the physical exam at the point of care.

VisualDx is an award-winning, clinical decision support system that has become a standard medical professional resource at more than 2,500+ medical universities, hospitals, and other clinical sites world-wide. VisualDx combines problem-oriented search with the world’s best curated medical image library, expert knowledge & sophisticated machine learning algorithms to aid with differential diagnosis, variation, treatment, and patient communication.



 
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