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@doximity_tech

Doximity Tech

Doximity
@doximity_tech
👋 Technology team building @Doximity's Clinical AI Suite 💙 🩺
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technology.doximity.com
Joined November 2015
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  • Pinned
    @doximity_tech
    Doximity Tech
    Doximity
    @doximity_tech
    Jul 15
    We are proud to share that Doximity Ask outperformed OpenEvidence, GPT-5.6 Sol, Claude Fable 5, and other leading frontier AI models.
    @doximity
    Doximity
    @doximity
    Jul 15
    Finally: an independent, head-to-head test of clinical AI models. This week, Stanford's Arise Lab published one of the most comprehensive independent evaluations of clinical AI to date. The benchmark compared 24 frontier and clinical AI models, producing 12,747 expert rankings
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  • @doximity_tech
    Doximity Tech
    Doximity
    @doximity_tech
    Sep 4
    Migrating a production iOS surface to SwiftUI is easy to describe and harder to execute. Here's how the Doximity’s iOS team approached the migration incrementally, kept feature development moving, and reduced risk along the way. technology.doximity.com/articles/migra… #SwiftUI #iOSDev
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  • @doximity_tech
    Doximity Tech
    Doximity
    @doximity_tech
    Aug 6
    Batch snapshots worked—until “fresh enough” stopped being enough. Here’s how we moved toward near-real-time data, the tradeoffs we faced, and what we learned along the way. technology.doximity.com/articles/from-…
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  • @doximity_tech
    Doximity Tech
    Doximity
    @doximity_tech
    Jun 23
    Clinical AI reliability is paramount. We share a look under the hood to see how Doximity Ask works to make answers useful in real-world care.
    @brupm
    Bruno Miranda
    Doximity
    @brupm
    Jun 23
    For clinical AI, the model is only one layer. You also need evidence retrieval, clinical workflow fit, privacy guarantees, continuous evaluation, and physician review through PeerCheck™. That’s the system behind Doximity Ask — now part of a Clinical AI Suite purchased by 150
  • @doximity_tech
    Doximity Tech
    Doximity
    @doximity_tech
    Jun 18
    The bug looked harmless: a memoized Redis lookup. The profiler told a different story: 45,000 unnecessary fetches. Here’s how one production profile turned a “slow” Sidekiq job into a 6x faster one. technology.doximity.com/articles/profi…
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