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Jun 11
Digital Health Adoption: Why the Best Technology Fails The history of healthcare technology is full of brilliant tools that changed nothing. Not because the technology failed. Because adoption treats implementation as a technical problem when it is fundamentally a human one. The five barriers I see most consistently: 1️⃣ Trust deficit "Black box" algorithms that can't explain their reasoning don't earn clinical trust. External validation, published model cards, and human-in-the-loop sign-off build it. 2️⃣ Workflow friction Every extra click is a barrier. Every duplicated data entry is a barrier. The tool must fit the workflow — or demonstrate sufficient value before negotiating workflow change. 3️⃣ Fragmented data EHR, PACS, physiotherapy system, implant registry — all siloed, all incompatible. Tools that can't integrate across these islands can't function at their potential. 4️⃣ Digital literacy gap Clinicians who can't read a validation study can't evaluate the tools they're being asked to use. That's a patient safety issue — and a curriculum failure. 5️⃣ Equity blind spots Tools that perform well on majority demographics and poorly on elderly, minority, or high-comorbidity patients don't reduce inequalities. They encode them. The institutions succeeding at digital health adoption share common traits: → Clinical leadership of the digital agenda → Realistic timelines for proper evaluation before scaling → Culture treating implementation failures as learning, not evidence that technology doesn't work Technology adoption is 20% technology and 80% people, process, and culture. 💬 Which of these five barriers is hardest to overcome in your institution? MoImam.co.uk 🔗 #DigitalHealth #NHSDigital #HealthcareInnovation #AIAdoption #TheArmDoc
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Bill Smythe retweeted
Extremely poor research being used today to knock GPs using recorded data in @NHSDigital for working hours This is primarily based on sessions worked but a session is counted as 4hrs 10mins 6 sessions then 25hrs But GPs are working 5-6hrs per session prucomm.ac.uk/assets/uploads…
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Thank you. Will give it a listen later. My first consultant used to subject all new patients to extensive questionnaires. His clear finding was a lot of Black men who had clear Bipolar illness had been misdiagnosed with Schizophrenia. Don’t know if he ever published. Will ask
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