MARKET GAP
A Critical Gap in Healthcare
Efficiency
An overwhelming 75% of healthcare professionals face delays in clinical decision-making due to fragmented, incomplete, or hard-to access patient data. Alarmingly, one in three clinicians loses more than 45 minutes per shift navigating disjointed systems—time that could be spent delivering direct patient care. This systemic inefficiency not only strains providers but also compromises outcomes in an already overburdened healthcare ecosystem.
SOLUTION
A Hidden Crisis Undermining Clinical Care
Every day, 75% of healthcare professionals are forced to make critical decisions without complete or easily accessible patient data. The result? Delays, guesswork, and mounting frustration. Even more alarming—one in three clinicians loses over 45 minutes per shift just trying to find the information they need.
That’s not just lost time. t’s lost care, lost confidence, and lost outcomes.
In a world where every second counts, this is more than a data problem— It’s a patient safety emergency.
Game-Changing Value
Unmatched Impact. Unrivaled Efficiency.
Reclaim Time That Matters
Each healthcare professional saves the equivalent of 23 full working days every year—time redirected from searching data to saving lives.
Accelerated Care Delivery
With AI-driven clinical protocols, treatment decisions are made 60% faster, reducing delays and improving patient outcomes.
Proven ROI
Harnessing multi-source data correlation leads to a 40% reduction in diagnostic errors, improving accuracy when it matters most.
Smarter, Safer Decisions
Just from time savings, a 100-bed hospital sees an annual return of $2.3 million—a financial win with clinical impact.
TECHNOLOGY STACK
Powering Clinical Intelligence wit
Cutting-Edge Tech Stack
Sample Data Sources
Grounded in Real-World, High-Fidelity Clinical Data
MIMIC-IV (MIT Clinical Records)
A comprehensive, de-identified database of real-world ICU, emergency, and general hospital data curated by MIT.
PhysioNet ICU Datasets
Rich physiological and clinical data from intensive care units, enabling robust AI model training and validation.
Why This Beats Existing Tools
ClinicalMind AI™ Outperforms Traditional Clinical Decision Tools
Real-Time, Not Batch-Time
Epic’s sepsis model is often criticized for lacking timely support. ClinicalMind delivers real-time, patient-specific insights, not delayed batch reports.
Beyond Single-System Silos
Epic is blind outside its own ecosystem. ClinicalMind connects any EMR, lab, or imaging platform, creating cross-system intelligence in real time.
Adaptive AI, Not Rigid Rules
Where Epic relies on static, rule-based logic, ClinicalMind uses adaptive AI models that learn and evolve with every patient interaction.
Intelligent, Not Interruptive
Epic systems have seen a 60% reduction in advisories due to alert fatigue. ClinicalMind solves this with contextual AI, surfacing only relevant, actionable insights.
Built to Integrate
Users frequently cite integration challenges and glitches with Cerner. ClinicalMind’s API-first architecture ensures seamless deployment across any environment.
Next-Gen AI, Not Engines
While Oracle/Cerner still relies on outdated rule engines, ClinicalMind is AI-native, powered by GPT-4 and Claude for human-level clinical reasoning.
Microsecond Decisions, Not Delays
Forget batch processing. ClinicalMind analyzes incoming data in real time, delivering insights with lightning-fast precision.
