Core Mobile for Educational Hospitals

Advanced Learning, Research and Care

Educational hospitals sit at the intersection of clinical care, academic training, and research, often under intense pressure to deliver on all fronts with limited resources. Core Mobile’s intelligent platform helps teaching institutions automate clinical workflows, support high-impact research, and reduce operational load, so you can do more with less, without compromising mission-critical outcomes.

From automated EHR abstraction for evidence-based research to real-time AI tools for quality tracking and patient engagement, Core Mobile empowers academic medical centers to scale care, teaching, and discovery in one unified system.

Key Benefits

  • Support Evidence-Based Research: Automatically extract structured data from EHRs and patient-reported outcomes to drive high-quality AI research and care improvement studies.

  • Automate Quality Abstraction: Capture and report on quality of care metrics (CMS, AHRQ, GIQuIC, AHA, etc.) automatically and in real-time, without manual abstraction teams.

  • Reduce Clinician Burnout: Ambient AI-driven documentation minimizes the burden on residents, faculty, and clinical staff, especially during intensive training rotations.

  • Unify Care, Learning & Research Data: Integrate structured, unstructured, and observational data streams to inform both bedside care and research insights.

  • Train AI Models Securely On-Site: Conduct local model training on pseudonymized data for your specific patient populations, ensuring privacy and contextual relevance.

Modernize with

Core Mobile

Whether you’re running simulations, publishing research, or teaching tomorrow’s clinicians, Core Mobile ensures your AI and data infrastructure is ready.


Features:

  • AI-Driven Quality Abstraction

    Automatically extract quality metrics, outcomes, and treatment patterns from clinical notes and EHRs, ideal for cohort studies, performance reviews, and clinical AI development.

  • AI Ambient Documentation

    Real-time speech-to-text transcription combined with NLP transforms conversations into structured notes, reducing note fatigue for residents and improving accuracy.

  • Patient-Reported Outcomes & Follow-Ups

    Mobile tools gather validated patient-reported outcomes and feedback across surgical, inpatient, and outpatient episodes, automatically integrated with EHR and research systems.

  • Integrated AI Pipeline

    Build, train, and deploy AI models on your data. Core Mobile’s platform supports multi-modal data (text, voice, video) and multiple engines (OpenAI, Mistral, AWS, etc.), all within a secure, compliant framework.

  • EHR & Device Integration

    Real-time data from Epic, Cerner, PACS, bedside monitors, wearables, and other clinical systems are unified for analytics and workflow automation.

  • Real-Time Patient Tracking

    GPS, RTLS, and mobile-based tracking for patient location, transfer status, and care milestones. Perfect for emergency, surgical, and inpatient settings.

  • “The initial study using paper charting took in total about 14 months to complete. Whereas the same study using Core Mobile software took about 16 weeks to complete and present at a conference."

    Dr. Neal Kaushal, Gastroenterologist, UCLA Digestive Diseases

  • “The use of the CoreyPatient™ mobile app has not only improved our patient pre-surgical instruction compliance, reduced cancellations, and increased throughput; but it has also enhanced our post-surgical follow-ups to advance overall patient satisfaction and patient outcomes. I would highly recommend CoreyPatient to any surgery center who wishes to bring their facility to the next level of efficiency and patient engagement."

    Angelique Crooke, PACU Manager, Massachusetts Avenue Surgery Center, Bethesda MD

  • "Epic training takes 8 hours initially and a 2 month "go live" period with Epic trainers in the hospital with you. Compared to that, anyone who can send a text and use a simple smart phone app can use CoreMobile apps after 30 minutes."

    Kathryn Camille Holeyfield, MD, Anesthesiologist at Stanford