📝 Safe, secure and trustworthy AI, regulation of AI for health, and more

Hiya 👋

We’re back with another edition of the digital pharmacist digest!

Here are this week's links that are worth your time.

Thanks for reading,
Kevin

📖 What I'm reading

FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence
🤖 Artificial Intelligence and 🩺💻 Health Informatics

"Today, President Biden is issuing a landmark Executive Order to ensure that America leads the way in seizing the promise and managing the risks of artificial intelligence (AI)."...

"Require that developers of the most powerful AI systems share their safety test results and other critical information with the U.S. government."...

"Advance the responsible use of AI in healthcare and the development of affordable and life-saving drugs. The Department of Health and Human Services will also establish a safety program to receive reports of—and act to remedy – harms or unsafe healthcare practices involving AI."

Breakdown of EHR complaints even when you have a good informatics team
🩺💻 Health informatics and 🎈Something fun

"Breakdown of EHR complaints even when you have a good informatics team:
13%: This is 💄lipstick on a pig💋 but we made it as good as we could and it could have been way worse
13%: That's not a bug🐛, it's a feature/security measure🔒
13%: 👍Yeah you're right, the EHR should change that and probably will
13%: We intentionally didn't build that for you because it's really not a task you should be doing yourself ✅
20%: You can already do this and you just didn't realize it/get trained on it 📖
20%: This was a choice by the informatics team that probably made sense at the time but is now hard to change 😫

8%: Everything else 🚮"

WHO outlines considerations for regulation of artificial intelligence for health
🤖 Artificial Intelligence and 🩺💻 Health informatics

"The publication outlines six areas for regulation of AI for health.

• To foster trust, the publication stresses the importance of transparency and documentation, such as through documenting the entire product lifecycle and tracking development processes.

• For risk management, issues like ‘intended use’, ‘continuous learning’, human interventions, training models and cybersecurity threats must all be comprehensively addressed, with models made as simple as possible.

• Externally validating data and being clear about the intended use of AI helps assure safety and facilitate regulation.

• A commitment to data quality, such as through rigorously evaluating systems pre-release, is vital to ensuring systems do not amplify biases and errors.

• The challenges posed by important, complex regulations – such as the General Data Protection Regulation (GDPR) in Europe and the Health Insurance Portability and Accountability Act (HIPAA) in the United States of America – are addressed with an emphasis on understanding the scope of jurisdiction and consent requirements, in service of privacy and data protection.

• Fostering collaboration between regulatory bodies, patients, healthcare professionals, industry representatives, and government partners, can help ensure products and services stay compliant with regulation throughout their lifecycles."

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