presaj Focus attention · Prevent complications

Predictive decision support that localizes emergent risks to specific workflow steps
before harm occurs.

Presaj improves outcomes, increase revenues, and reduces costs by analyzing all known
variables in the patient experience that contribute to clinical risk.

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1 in 4
hospitalizations involves an adverse event
250K
deaths per year
$180B
annual cost
70%
avoidable

Sources: HHS OIG 2022; Bates et al. 2023, NEJM 2023; Frost & Sullivan 2018.

Problem

Existing tools focus on patient factors, but most sentinel events are attributed to provider, system, and process factors.

Increasing time constraints, distractions, population aging, patient complexity, and workforce shortages compound the problem.

THE ENGINEERING PRECEDENT

Aerospace and other high-risk industries are federally required to prove process and component safety prior to certification and commercial use. They utilize proven, standardized methods for risk analysis that ensure safety. Healthcare has no equivalent tools or requirements. That's where Presaj comes in.

Aerospace · Boeing 747 engine: ~40,000 parts
System
Aircraft
›
Subsystem
Engine
›
Module
Compressor
›
Component
Blade
›
Failure
High cycle fatigue, foreign object damage, compressor stall
Healthcare · CABG surgery: 382 clinical steps
System
CABG
›
Care setting
Intensive Care Unit
›
Process
Immediate Care
›
Step
Administer Medication
›
Failure
Wrong medication, wrong dose, wrong timing, wrong patient

“The safety movement has, at best, stalled.”

Don Berwick · Founder, Institute for Healthcare Improvement · NEJM 2023

Solution

Predictive clinical decision support platform that analyzes all known risk contributors and identifies the specific clinical steps most likely to precipitate adverse events.

Accounts for human factors, workflow, staffing, communication, facilities, equipment, social determinants, comorbidities, and more.

HOW IT WORKS
1. Stratify
Score risk across all workflow steps.
2. Prioritize
Surface the highest-risk steps for each patient.
3. Explain
Show why each risk is elevated.
4. Contextualize
Generate risk briefs for custom use cases.
PATENT PENDING METHOD & INNOVATION

Presaj uses proven engineering principles along with our proprietary risk topology to analyze multiple dimensions of data and identify where risks from different sources converge in the patient experience.

Explainable and auditable. AI outputs are traceable and constrained by ontologies to prevent hallucinations.

Data, not orders. Presaj alerts providers to the risks; they decide how to respond.

PRELIMINARY DATA

A pilot study funded by the National Science Foundation found that the Presaj app may prevent over 20% of avoidable adverse events in coronary artery bypass graft (CABG) surgery.

CLEAR ROI

The Presaj app is composed of modules for high-risk procedures and conditions. Each module need prevent only 2-3 complications per year to recover its annual costs.

“With Presaj, I can tell the staff to focus on 3 things instead of 1,000 things.”

System VP of Patient Safety · from 300+ discovery interviews

Preventing adverse events requires understanding medicine, human behavior, and safety engineering. The Presaj team was assembled around exactly these requirements.

Jim Levett, MD
Jim Levett, MD
Co-founder & CEO

10,000+ surgeries performed. Expert in patient safety, high-risk procedures, and quality/reliability techniques. Former Clinical Professor of Surgery at the Universities of Chicago and Iowa. Former Chair of Surgery at Advocate Lutheran General Hospital.

Travis Mathison, MSc
Travis Mathison, MSc
Co-founder & CTO

40+ applications built for clinicians. Expert in cognitive science, human factors, and digital health product development. Former digital health product consultant for McGraw Hill, Demos Medical, and other global companies. Published on medical errors.

$57M
federal funding across the team
20
advanced degrees: 9 PhD, 5 MD, 6 MS
200+
years of combined medical experience
TEAM EXPERTISE
Patient Safety High-Risk Procedures Clinical Trials Human Factors Social Determinants Medical Software EHR Integration HIPAA Systems Engineering Workflow Analysis Process Improvement LEAN Quality & Reliability Risk Modeling Actuarial Science Safety-Critical Systems Neuro-Symbolic AI LLMs Data Science Informatics AI Governance Simulations Cybersecurity Software Verification Govt Contracts
Strategic Partners
NIH
NSF
UnityPoint Health
Advocate Health
Duke University Medical Center
Iowa Driving Safety Research Institute
Iowa State University
NSF Innovation Corps
Iowa Startup Accelerator
BioConnect Iowa
Wellmark
EnSoft
Linn County Public Health
Geonetric
Catalysis

Want to learn more?

Request more info →[email protected]
presaj Focus attention · Prevent complications
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