Ethics of AI in Healthcare | Remote Patient Monitoring | Sickbay
  • Platform
        • Our Mission

          MIC delivers next generation technologies that unify patient monitoring workflows for healthcare systems.

        • SickbayStandardize & virtualize care with a software-driven, integrated, platform.
        • Virtual OpsView all your patients leveraging configurable risk indicators.
        • TelemetryMonitor patients with indicators: shift change, new admissions, nutrition frequency, etc.
        • AnalyticsAlign your clinical, research & rev cycle experts with all of your monitoring data.
  • How We Help
        • Visible, Analyzable, Actionable

          Sickbay unlocks the capacity to effectively monitor patients across your entire health system and identify improvements in care delivery.

        • MonitorSecure, centralized and integrated monitoring data across service lines
        • CollaborateAnnotate & share events to expedite and improve care
        • AutomateIncrease efficiency and eliminate manual processes across workflows
        • AnalyzeDeliver better care by analyzing unlimited patient monitoring history
  • Who We Help
  • Partner Ecosystem
  • Resources
  • Our Company
Schedule A Demo
Ethical AI Deployment in Hospital Systems

Ethical AI Deployment in Hospital Systems

Artificial intelligence (AI) is proliferating wildly across every industry. Health care is unique because it concerns patients’ safety, care quality and health outcomes, there are many different experts in the field, and patient privacy is paramount. How can you match the promises of AI in your space with these conditions? How do you deploy and test AI solutions? Hear how Sean Sarles, MSN, RN, CCRN, associate director of clinical technology and systems at the University of Pennsylvania Health System, approaches AI ethics and deployment at Penn Medicine. Additionally, learn how AI is only as strong as the process of applying aggregation, action, and then analysis. Medical Informatics’ Sickbay platform drives effective AI by aggregating patient monitoring data that leads to actionable information to clinicians. This fundamental approach of aggregate-act-analyze increases the ethical potential of care based on cohorts of physiological data.

ATTENDEES WILL LEARN:

  • Administratively impactful AI scenarios and how a major medical system currently deploys its AI solutions.
  • How data collection from vendor-agnostic devices paired with AI empowers relevant, timely, objective and complete physiologic data for clinical and research applications.
  • Key insights into how to objectively approach AI in the health care space in a way that benefits care providers, clinicians, administrators, researchers, patients and more across the hospital system.

SPEAKERS:

Sean Sarles, MSN, RN, CCRN Associate Director of Clinical Technology and Systems, University of Pennsylvania Health System   Penn Medicine  

Emma Fauss, PhD CEO & Co-Founder Medical Informatics Corp. 

 

Original webinar date: May 7, 2024. To view the webinar click here.

Explore Further

For AI, Data Is Everything: Why Your Hospital’s AI Strategy Must Start at the Bedside Modern Risk Mitigation: How Virtual Operations Are Reshaping Patient Care Healthcare Workers Analyzing Data For Care OptimizationHow to Leverage Medical Analytics for Care Optimization
  1. How to Leverage Medical Analytics for Care Optimization
  2. Modern Risk Mitigation: How Virtual Operations Are Reshaping Patient Care
  3. For AI, Data Is Everything: Why Your Hospital’s AI Strategy Must Start at the Bedside
  4. How Sickbay Approaches Data Governance for Medical Device Data Pipelines: Ensuring FAIRness, Ownership, and Provenance
  5. When Tech Giants Merge Without Interoperability: Risks of Healthcare IT M&As

Browse Topics

  • Webinars

Medical Informatics Corp. is a proud Gold level member of the Intel Market Ready program. This strategic partnership powers smart, connected patient care for better outcomes, particularly with regard to expanding telehealth, virtual care and healthcare AI.

Saving Lives Bit by Bit®
Copyright © 2026 Medical Informatics Corp®. All rights reserved.   Privacy Policy   Terms of Use
  • Clinical Workflow Impact
    • Monitor
    • Collaborate
    • Analyze
    • Automate
  • The Sickbay Clinical Platform
    • Sickbay
    • Sickbay Telemetry
    • Sickbay Virtual Ops
    • Sickbay Analytics
  • Medical Informatics Corp.
    • Resources
    • Contact Us