Josh Mandel, MD

@josh.mandel.md

Physician, programmer, and would-be pâtissier/poet. Chief Architect for Microsoft and SMART Health IT. Health tech policy, interoperability, FHIR, AI, web.

New Challenge: "Advent of Claude"! Write a Claude(dot ai) custom style to solve Advent of Code puzzles within Claude's UI. Score: # adventofcode(dot com) stars earned in 2 daily conversation turns.

Thanksgiving prep with LLMs. Here's my recipe: 0. Decide what to cook 1. Put all recipes (or dish ideas) in project context 2. Request * 4 day prep plan * All recipes with consistent formatting * All ingredients in a combined shopping list

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@bsky.app feature request: include a "following back" button inline in the "New user followed you" notification screen. (Right now, new follows are grouped into a drop-down, but as you click each one to review — and follow back — the drop-down group is re-filtered and needs to be re-expanded.)

Healthcare data access vs. privacy tensions aren't zero-sum. Better-designed Health Information Networks can bend the tradeoff curve, enabling convenience AND control. No silver bullets, but real progress is possible. User stories & principles: hackmd.io/@jmandel/hin...

Princinpled (Q)HIN Design: Convenience AND Control - HackMD

All stories feature Elena, a 42-year-old marketing executive whose healthcare providers participate in AcmeConnect, a Health Information Network (HIN).

hackmd.io

EHI Export insight: >100 individual users (i.e., provider org staff) contributed to some aspect of my EHI in the past 6 years of ambulatory care. This diagram shows only users & tasks mentioned at least 10 times. (Task labels generated by GPT-4, based on Epic's EHI schema.)

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Just out: www.nature.com/articles/s41... Health AI integration requires workflow & data access. @SMARTHealthIT experience: it takes products, pragmatics, open standards... and regulations. Better alignment & precision on "jobs to be done" => (much) faster timeframes! @mandl @gotdan

Integration of AI in healthcare requires an interoperable digital data ecosystem - Nature Medicine

Electronic health information, including from electronic health records, is needed to develop AI tools for health, but the seamless flow of data will require standards and interoperability.

nature.com

Beyond Split Pea Soup: #ChatGPT 1) assembles order sets on-the-fly from primary source 2) controls my web browser through a focused API 3) applies common sense + quantitative reasoning. A strained analogy between online grocery shopping & clinician-facing order entry. youtu.be/447C-f9MJw8

Automating EHR Order Entry, or Shopping for Split Pea Soup with ChatGPT

Beyond Split Pea Soup: #ChatGPT 1) assembles order sets on-the-fly from a primary source; 2) controls my local browser through a focused API; 3) applies sens...

youtu.be

A CMS mandate went into effect in 2021 to ensure that many health plans publish their network details (Provider lists, etc) with a #FHIR API for interoperability. In 2023, things are messy and could use CMS attention. Summary in🧵 Details at hackmd.io/@jmandel/ins...

Insurance Plan Interop: A Cautionary Tale - HackMD

A CMS mandate went into effect in 2021 to ensure that health plans offer #FHIR APIs for their Provider Directory. Let’s explore how things are going.

hackmd.io

I've been pondering how #Interoperability will change as AI advances. Video: youtu.be/32a7WWMhXd0 Key Points: 1. #chatgpt4 Advanced Analysis Mode is impressive with @HL7 #FHIR data inputs... but 2. Free text can work just as well, using #GPT4 to guide on-the-fly abstraction!

Automating clinical data analysis with on-the-fly data abstraction

In this video, I explore automated capabilities for analyzing clinical data. We begin by running ChatGPT's Advanced Data Analysis tool against a FHIR Bundle,...

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