Hospitals & Health Systems

See what your quality data has been missing

Peer review, incident report analysis, and cohort-level quality surveillance at a depth and scale manual chart review can't reach. AI that reads the chart the way a physician would, and scales across your full case volume.

Quality LeadersCMOsRisk ManagersPatient SafetyMedical Directors
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app.secondlookhealth.ai
Cohort quality surveillance · Cardiology
Standard-of-care adherence842 cases reviewed96%
Documentation gaps flaggedpeer-review queue38
Outcome variance, by unitvs. cohort baseline2 units
HIPAAHIPAA Compliant
SOC 2SOC 2 Type II Certified
AIClosed-System AI

99%

Accuracy, third-party validated

70–90%

Reduction in review time

$7–9

Returned per $1 on labor

500–20k+

Pages per case, routinely

Physician-grade clinical intelligence for quality-driven organizations

Narrative synthesis, not just extraction

Coherent clinical narratives from fragmented chart data, a complete picture instead of disconnected data points.

Quality review at full volume, not just a sample

Reviews that take nurses 4 to 8 hours per case are completed in minutes, freeing clinical staff for care delivery instead of chart abstraction.

Key capabilities

AI-powered quality and safety analytics

Complex case analysis

Physician-grade assessment of clinical events, standards of care, outcomes, and causality.

Clinical summaries of patient journeys
Dynamic medical timelines
Deep research AI querying
Standard-of-care perspectives

Validation and accuracy

Every insight linked to source documentation for ease of validation.

Findings linked to exact source pages
Peer-reviewed citations and references
Third-party validated accuracy

Cohort definition and tracking

Define patient populations and track quality variance over time.

Cohorts by department, location, date, symptoms
Population-level quality insights
Practice pattern analysis

Secure

SOC 2 Type II certified · HIPAA compliant · closed-system AI.

Flexible delivery

SaaS platform · API integration.

In clinical study at UC San Diego

We've partnered with UC San Diego on an IRB-approved study to formally evaluate SecondLook's clinical accuracy. While we wait for those results to publish, our track record already speaks for itself: across roughly 400 evaluations, SecondLook matched the customer's own physicians 99% of the time.

99% accuracy vs the customer's own physicians

Across ~400 evaluations. The UC San Diego study, once published, formalizes it.

Standard of Care & QualityPeer review, incident analysis, and cohort-level quality surveillance
Research collaboration

Partner with us on research, separate from any product purchase

Beyond any commercial engagement, SecondLook actively collaborates with academic medical centers and health systems on clinical research, IRB studies, and validation work. If your team wants to study AI-assisted record review, quality measurement, or standard-of-care assessment, we want to build that with you. The UC San Diego study is the first; we're looking for more.

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Physician-grade clinical insight across your full case volume

Quantifiable reduction in time-to-insight, chart review labor costs, and quality penalty exposure. Founded by physicians who understand clinical workflows.

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