Society for Participatory Medicine
DECEMBER 10, 2020
GREAT news for patient engagement. A lot more research has been piling up since that first paper ten years ago, broadening the academic knowledge base, further establishing what OpenNotes co-founder Tom Delbanco refers to as “a new medicine: it has benefits, side effects, indications and contraindications.”
Redox
JUNE 28, 2023
Event recap [Panel discussion] How to incorporate patient-oriented design in your healthcare products This discussion is for all digital health innovators and builders, focused on how to move product ambitions from concept into implemented & adopted reality. Sign up to have new posts emailed directly to your inbox.
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Healthcare IT Today
DECEMBER 5, 2022
Today’s tools employ natural language understanding so patients can use familiar words and phrases – while back-end intelligence translates this vocabulary into data appropriate for a clinician.
Healthcare IT Today
JANUARY 17, 2024
It can also automate the review of incoming faxes, identify gaps in care, streamline tasks with robotic process automation, and even alert providers of patients most likely to miss an appointment. I’m excited to see how it will transform clinical workflows and, in the end, create a better patient experience in 2024.
Consumer eHealth Engagement
FEBRUARY 25, 2020
” Patient Experience with Grace Bot. Providence Health has worked closely with the patients to design the Grace bot. Here is a look into the patient experience. Patient Patricia who lives in Washington State, types her symptoms into Google to figure out what she has and where she can get care.
Consumer eHealth Engagement
FEBRUARY 24, 2020
” Patient Experience with Grace Bot. Providence Health has worked closely with the patients to design the Grace bot. Here is a look into the patient experience. Patient Patricia who lives in Washington State, types her symptoms into Google to figure out what she has and where she can get care.
Healthcare IT Today
JUNE 13, 2024
We’re told that different AI applications and tools can reduce administrative burden and clinical burnout, improve patient experience and outcomes, and so much more. RAG empowers businesses to create a wide range of AI solutions by combining LLMs with internal and external knowledge bases.
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