TheDawn of a New AI Era
Pioneeringthenextgenerationofmedicalintelligencetoinnovate,automate,andadvancepatientcare.
AI-Driven Healthcare Research Tools
Open-source medical AI research tools that reduce documentation burden and support clinical workflows. For research purposes only. Not a medical device.
Research-grade structure extraction from clinical text to reduce documentation burden for physician-led teams.
Risk-signal exploration tools for healthcare researchers studying population-level patterns in retrospective datasets.
Evidence-on-demand retrieval surfaces peer-reviewed literature and reference material to support physician research workflows.
Build and deploy specialty-specific AI research models tailored to your institution's documentation and workflow needs.
A complete AI Ecosystem functioning as an integrated healthcare operating system, seamlessly connecting all aspects of clinical operations and patient care.
Training & Education
Continuous learning modules for staff development
Workflow Assistance
AI-powered reference and documentation support
HIPAA-Compliant Messaging
Secure internal communication
Notes Assistance
Intelligent documentation support
Smart Scheduling
Automated appointment optimization
EMR Integration
Seamless external app connectivity
Healthcare AI, by the numbers
Findings from peer-reviewed studies on AI in clinical practice. Sources cited inline. IntelMedica tools are research tools, not medical devices, and are not intended for clinical decision-making.
Lower in-hospital sepsis mortality
18.7% adjusted relative reduction when an AI sepsis early-warning alert was confirmed by a provider within 3 hours, across 590,736 monitored patients at five hospitals.
Fewer missed breast cancers
9.4% absolute reduction in false negatives on a US screening mammography dataset; the AI system also outperformed all six radiologists in an independent reader study.
Of physician time spent on EHR and desk work
49.2% of the office day was spent on the electronic health record and desk work, versus 27.0% in direct face time with patients, in a 4-specialty time-and-motion study.
Drop in clinician burnout after 30 days with an ambient AI scribe
Burnout fell from 51.9% to 38.8% (odds ratio 0.26, 95% CI 0.13 to 0.54) across 263 ambulatory clinicians in a 6-system multicenter study.
What the literature says
Direct excerpts from the published abstracts of two of the studies above.
“Patients with sepsis whose alert was confirmed by a provider within 3 hours had a reduced in-hospital mortality rate, organ failure, and length of stay compared with patients whose alert was not confirmed within 3 hours.”
Adams et al.
Nature Medicine, 2022
“For every hour physicians provide direct clinical face time to patients, nearly 2 additional hours is spent on EHR and desk work within the clinic day. Outside office hours, physicians spend another 1 to 2 hours of personal time each night doing additional computer and other clerical work.”
Sinsky et al.
Annals of Internal Medicine, 2016
Open datasets. Models in progress.
461,600 clinical sentences and 184 hours of synthetic medical speech, DOI-registered and available to medical AI researchers. Models trained on this data are coming.
Uncompromising Security & Compliance
Engineered with the highest standards of data security to protect patient information and ensure regulatory compliance.
HIPAA Compliant
Adherence to national standards for patient data protection.
SOC 2 Certified
Independently audited for security, availability, and confidentiality.
GDPR Ready
Commitment to data protection rights for all individuals.
ISO 27001
Following best practices for information security management.
Join the Future of Healthcare
Schedule a personalized demo to see how Intelmedica's AI solutions can transform your clinical practice and improve patient outcomes.