About GigHz

    GigHz is built for physicians who refuse to outsource their judgment — about technology, money, ownership, or what they are capable of building.

    Physicians make seven-figure decisions without the data hospitals and payers have had for decades. Medicine trains you to diagnose disease — not to read the systems around it: reimbursement, AI, taxes, ownership, markets, identity. The answer is usually available. The person making the decision usually can't see it. GigHz builds the tools, research, and plain-English analysis that make those systems visible — so the people doing the work have the same evidence the institutions around them already do.

    GigHz is led by Pouyan Golshani, MD — a practicing interventional radiologist with 16 years at the intersection of clinical practice, technology, and financial operations. The tools, advisory, and capital work all exist for the same reason: nobody else was building them correctly.

    The thesis

    Three patterns kept showing up — in the reading room, in physician partner meetings, in the LP conversations of physicians trying to invest. Same shape, different surface:

    At the bedside

    Physicians know what they should do; the cognitive load of synthesizing it under time pressure is what fails. Pogosh, Precision AI, the imaging stack, and the prior-auth tools all attack different versions of that same gap.

    In the practice

    Health systems have actuaries and rate data; physicians evaluating an ASC, OBL, or imaging center have gut feel. CenterIQ, Referral Pulse, and the advisory layer give physicians the same lens institutions use.

    In personal finance

    Physicians make the largest financial decisions of their lives — student debt strategy, entity structure, real estate allocation — using tools that weren't built for physician income. The Finance Hub, Repit, GigHz Capital, and the CPA referrals layer change that.

    What GigHz actually does — by surface

    Four product surfaces, all running off the same physician-built thesis:

    1 · Clinical AI & workflow

    Tools that work at the point of care

    Pogosh CDS, GigHz Precision AI, Nakod prior auth, Imaging Protocol Library, Imaging Appropriateness Selector, Radiation Dose, IR Coding, CasePrep, IRPrep, PE Triage, Periprocedural Anticoagulation Tool.

    See all tools →
    2 · Practice & rate intelligence

    The numbers physicians need to negotiate, build, and grow

    CenterIQ rate intelligence, Referral Pulse leakage tracking, ASC/OBL feasibility advisory, payer negotiation prep with named-hospital benchmarks.

    CenterIQ →
    3 · Physician finance

    Loan, tax, and entity decisions calibrated to how physicians get paid

    Physician Finance Hub (PSLF, refi, OBBBA, 61 strategies), CPA referrals network, the educational layer for residents and attendings.

    Finance Hub →
    4 · Capital & investing

    DIY housing data and white-glove diligence for physician investors

    Repit (ZIP-level housing intelligence), GigHz Capital (curated deals + diligence memos), oil & gas / MedTech case-by-case engagements, research memos.

    GigHz Capital →

    How we build

    Four principles every GigHz product runs on:

    📐

    Structured, not generative

    Clinical tools use traceable rule engines. Every recommendation maps to a specific guideline and rationale. Clinicians can verify the logic — there's nothing to trust on faith.

    Built for time pressure

    A tool that takes 30 seconds to load doesn't exist in a busy ED. APIs respond at the edge. Browser-only tools store everything locally. Speed is a clinical safety feature.

    🛡️

    Privacy by architecture

    We don't collect PHI because the tools are designed not to need it. Clinical parameters, not patient identifiers. Locally-stored procedure data. PHI minimization is the default, not the upsell.

    🩺

    Physician-led development

    Every product runs through a practicing physician's hands. The advisory work is run by the same physician. The investment work is done with physician capital. Skin in the game on every surface.

    About the founder

    Dr. Pouyan Golshani

    Pouyan Golshani, MD

    Founder · Physician · Builder

    I'm a practicing interventional radiologist who's spent 16 years making decisions where precision actually matters — in medicine, technology, and capital.

    My work sits at the intersection of clinical reality, deep tech, and markets. I help founders, physicians, and investors cut through noise, understand what actually works, and avoid expensive mistakes — whether that's stress-testing a med-tech product against real workflows, helping license IP that's been years in the making, or building systems (financial, professional, or personal) that hold up over time.

    I don't believe in hype or abstraction. I believe in clarity, ownership, and disciplined execution: think honestly, develop competence, listen to evidence, admit when you're wrong — then make the decision yourself. The same mindset that guides me in the angio suite applies everywhere else: understand the system, respect risk, and act deliberately.

    Do what you love and provide value. That's the rule I build by. Every tool here exists because I wanted it to exist and because someone needed it — not because a plan said it would work. Other people's fears can inform you; they should not govern you. GigHz exists for people who want cleaner decisions — in business, investing, and life — without fluff, shortcuts, or borrowed confidence.

    His research on FDA-authorized medical AI devices — a longitudinal analysis of the 1,430 devices cleared between 1995 and 2025 — was covered by AuntMinnie, which named him lead author. Further commentary on clinical AI, physician finance, ASC economics, and real estate has appeared in Yahoo Finance, BiggerPockets, ConnectCRE, AI World Today, Financial Tech Times, and Benzinga.

    Press & research

    Independent coverage of work led here — not announcements about it.

    AuntMinnie · July 2026

    Thirty years of FDA authorizations, and where clinical AI actually took hold

    A longitudinal analysis of all 1,430 AI/ML-enabled medical devices authorized by the FDA between September 1995 and December 2025. Radiology accounts for 1,094 of them — 76.5%. Authorizations rose from 1.8 a year through 2014 to 264 a year across 2023–2025. Three specialties hold 90.6% of the total; psychiatry and behavioral health hold none.

    Why it matters: the regulatory record shows clinical AI concentrating where the data was already digital and image-shaped — not where the clinical need was greatest. That gap is the thing worth arguing about, and it is now measurable rather than anecdotal.

    One belief, four product surfaces.

    Clinical AI, practice intelligence, physician finance, capital diligence — all built so the people doing the work can see the signal earlier and decide for themselves.

    Written and reviewed by Pouyan Golshani, MD, Interventional Radiologist — Last updated April 8, 2026

    Part of the GigHz library: systems doctors were never taught.