Clinician-led AI for healthcare
Clinician-Led AI That Makes Care Safer, Faster, and Smarter.
Guideline-aligned decision support, predictive analytics, and workflow automation designed for measurable impact and financial sustainability.
- Architecture
- FHIR-Native • Epic • Cerner • Allscripts • Meditech
- Evidence Base
- Guidelines & Literature
- Focus
- Safety • Quality • Efficiency • ROI
- Ready For
- CDS • ML • NLP
Why Prescienta
Built for healthcare organizations that need more than generic AI
Prescienta combines clinical credibility, workflow awareness, and technical execution. Our approach is designed for institutions that care about safety, adoption, interoperability, and measurable business value.
Clinician-Led Strategy
Solutions shaped by real clinical realities, not abstract product assumptions.
FHIR-Native Thinking
Built to align with modern healthcare data standards and scalable integrations.
Evidence-Aligned Design
Prioritizing validated approaches, measurable outcomes, and deployment discipline.
Commercial Relevance
Focused on operational efficiency, adoption, and sustainable institutional ROI.
The Problem
Modern care environments still struggle with fragmented, delayed, and non-contextual decisions
- Fragmented systems limit timely, actionable insight at the point of care.
- Manual workflows slow decisions and increase clinician burden.
- Inconsistent documentation reduces measurable value capture.
- Non-contextual clinical choices create quality and cost variation.
Our Solution
Applied AI designed around workflow fit, safety, and measurable institutional value
AI Clinical Decision Support
Context-aware, guideline-aligned decision support integrated directly into clinician workflows to reduce clicks, errors, and delays.
Antibiotic Stewardship Assistant
Uses ML/AI with local resistance data to optimize empiric therapy, reducing complications, repeat visits, and antibiotic resistance risk.
Workflow Optimization
Smart pathways, HEART score tools, and auto-assignment logic designed by physicians for efficiency and accuracy.
FHIR-Native Analytics
Embedded dashboards that visualize safety, throughput, and ROI within Epic, Cerner, and other EMRs.
Impact
Anticipated Impact (Backed by Evidence)
Our modules are grounded in published research and professional society guidance. We target measurable improvements in efficiency, safety, and financial performance validated through independent studies and partner sites.
↓ 75% Decision Latency
AI triage support shortens decision cycles.
↑ 35% Documentation Accuracy
Integrated workflows improve coding fidelity.
↑ 20% ROI in First Year
Operational and revenue gains for institutions.
Partners
Built for collaborative pilots, validation, and scalable deployment
We invite hospitals, EMR vendors, and research organizations to co-develop and validate high-impact AI use cases that improve care delivery and financial sustainability.
- Collaborative pilots with transparent evaluation plans
- Data privacy and FHIR-native compliance
- Publication-ready validation studies
Example Tracks
- Chest pain and STEMI automation
- Antibiotic stewardship interventions
- Sepsis and deterioration prediction
- Documentation and billing optimization
Leadership
Dr. Sultan M. Babar, MD — Founder & CEO
A triple board-certified physician in Family Medicine, Sports Medicine, and Clinical Informatics, Dr. Babar stands at the intersection of high-acuity care and digital transformation. As an Emergency Physician and Medical Informaticist at King Faisal Specialist Hospital & Research Center, he has led enterprise-scale modernization projects unifying documentation across multiple campuses, streamlining clinician workflows, and achieving measurable ROI through clinician-driven, data-validated transformation.
With over a decade of leadership in clinical innovation, Dr. Babar has consistently advanced physician-centered technology that enhances safety, quality, and operational efficiency. His vision for Prescienta is guided by a simple belief: AI should magnify human judgment, not replace it. A published contributor to The 5-Minute Clinical Consult for over a decade and recipient of numerous awards and recognitions including Best in New Jersey Magazine for Family and Sports Medicine, he combines academic rigor with practical insight into real-world healthcare systems.
Trained in Safety, Quality, Informatics, and Leadership at Harvard Medical School, Dr. Babar brings a rare blend of bedside credibility, technical fluency, and executive strategy. His leadership defines the mission of Prescienta: empowering clinicians through intelligent, validated, and interoperable AI solutions that make care safer, faster, and smarter.
For Investors
Evidence-first strategy with clear valuation drivers
We pursue a disciplined, evidence-first roadmap with clear valuation drivers: modular IP, cross-EMR deployability, and services-to-SaaS expansion.
- Market: healthcare AI decision support and analytics with durable, non-speculative demand
- Go-to-market: consulting-led implementations maturing into productized modules
- Valuation levers: recurring revenue, integration moats, and validated outcomes
Why Now
- Clinician-led products focused on safety and workflow fit
- FHIR-native architecture enables scalable integrations
- Path to validated outcomes through partner evaluations
This section outlines strategy and potential; it is not financial advice or forward-looking guidance.
Contact
Let’s build something meaningful
Headquarters: New Jersey, United States of America • Global: Riyadh | Islamabad | Jakarta
- Email: info@prescienta.ai
- Partnerships: investor-relations@prescienta.ai
- Careers: careers@prescienta.ai