The Medical AI Blog
Your guide to trends and tools in AI for healthcare professionals
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Compare lab results and see trends without searching through PDFs
Compare laboratory results and measurements of your patients in Itaca. View trends, check for outliers, and consult your source.
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Environmental scribes with AI: what the studies show and what still needs to be measured
What to look for in studies of environmental scribes: time, perceived workload, documentary quality, and conditions for applying their results.
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Medical AI in Spanish: why the language should also be evaluated
Evaluate vocabulary, denials, corrections, and documents: a translated interface does not by itself describe the entire flow of medical AI in Spanish.
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A longer note is not always a better clinical note
How to distinguish useful context from repetition in clinical notes and ask an assistant for documents that will facilitate resuming work.
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One query, several documents: where the work repeats itself
Notes, summaries, and references share context, but have different audiences. How to identify and reduce the repetition of work.
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How to test a medical AI assistant with five exercises
Five exercises with fictitious examples to assess grades, corrections, references, and completed work before incorporating AI into your practice.
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Dental clinical history: what to record and how to follow it
How to organize dental reason for visit, medical history, examination, teeth or areas, procedures, instructions, and follow-up.
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Ophthalmology note: history, measurements, and plan
How to organize reason, laterality, medical history, provided measurements, examination, and follow-up in an ophthalmology note.
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Urological note: history, studies, and follow-up
How to organize symptoms, medical history, provided studies, procedures, treatment, and follow-up in urology.
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Oncological continuity: treatment, effects, and pending issues
How to organize treatment, reported effects, available results, coordination, and pending items throughout cancer care.