Care is real-time. The data isn’t.
Clinicians decide now, on records scattered across systems that don’t speak. The distance between what is known about a patient and what is available at the point of care is where outcomes, hours and clinicians are lost.
A two-year study across five US hospitals, co-led by Mass General Brigham and UCSF, found clinicians who used ambient AI documentation for more than half their visits saw twice the reduction in total EHR time and three times the reduction in documentation time[1]. A separate study found provider burnout in ambulatory clinics fell more than 10% after just 30 days with an ambient AI scribe[2]. Documentation burden is a primary, measurable driver of clinician burnout[3] — and burnout is a workforce and patient-safety cost, not a soft metric.
What actually constrains healthcare technology.
Records that don’t speak
Patient data is siloed across EMR, lab, imaging and billing — no governed, real-time view at the point of decision.
Documentation as the driver
Two in five US healthcare workers report their jobs feel unsustainable[4]; more than half of physicians report burnout driven largely by documentation and administrative load[5].
Governance is non-negotiable
Health systems are building formal AI governance and compliance frameworks[6]; a model that cannot be audited and explained cannot be deployed, however accurate.
Breadth without depth
Many organisations use AI somewhere, far fewer have embedded it in core clinical pathways[6] — the gap between pilot and production is the real constraint.
The opportunity map — grounded in deployed systems.
From the constraint to the capability.
Where the industry data meets our work.
Patient engagement platform
Delivered through PRISM. A patient-engagement platform that unified fragmented records; the headline figure below is reported on CodesmoTech’s primary site for this engagement.
The capabilities behind this.
Mapped to PRISM — front-loaded into Proof and Roadmap, where the risk to budget and compliance is highest.
Every industry figure on this page is attributed.
- Mass General Brigham & UCSF, multi-hospital 2-year ambient-documentation study — >50% use linked to 2× total-EHR-time and 3× documentation-time reduction (reported Mar 2026). eurekalert.org
- Chartis, 2026 Health System Outlook — provider burnout down >10% after 30 days with an ambient AI scribe. chartis.com
- Peer-reviewed narrative review (PMC, 2026) — EHR documentation burden as a primary driver of clinician burnout. ncbi.nlm.nih.gov
- Indeed, Pulse of Healthcare (reported Dec 2025) — two in five US healthcare workers report their jobs feel unsustainable.
- Industry practice surveys 2025–2026 — majority of US physicians report burnout; AI scribes cutting charting time up to ~75%.
- Wolters Kluwer / Chief Healthcare Executive expert outlooks 2026 — governance build-out; adoption breadth exceeding depth in core clinical pathways.
- Chief Healthcare Executive 2026 leader survey — 86% comfortable with AI assisting (60%) or fully handling (26%) identification of easy-to-miss details across records.
What would clinician time returned be worth to you?
That is a Stage P conversation. We model the value with your clinical and finance leads — against your numbers, not industry averages — before proposing a build.
Model my ROI →