What was the impact of the AI solution?

Enabled earlier interventions before critical health events Improved quality of patient care via real-time analysis Created operational efficiencies for clinical staff Advanced clinical use of AI with robust governance standards

Source

MicrosoftExpandedProductionEvidence: Medium50/100

BioIntelliSense enables proactive patient care with continuous monitoring

Use case typeRemote patient monitoringUpdated Jun 13, 2026

EY partnered with BioIntelliSense to bring real-time, AI-powered wearable monitoring to US healthcare. Leveraging a medical-grade wearable and Microsoft AI analytics, the system monitors patient biometric data continuously, shifting clinical monitoring from episodic spot-checks to actionable trend analysis. Clinical staff can now detect and intervene earlier in patient health deterioration, enhancing outcomes. EY provided strategic consulting to ensure robust AI governance, focusing on ethical deployment and integration into clinical workflows. This solution addresses persistent healthcare staffing limits and operationalizes new AI governance protocols started in back-office tasks and soon extending to core patient care.

Organization: BioIntelliSense
Industry: Healthcare
Location: United States
Published: January 2025

Reported outcomes

Strategic outcomes

New product / capabilityEnabled continuous biometric patient monitoringNew product / capabilityShifted care to actionable trend analysisCustomer experience & trustEnabled earlier patient interventionsRisk & complianceBuilt healthcare AI governance frameworks

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: BioIntelliSense
Provider: Microsoft
Maturity: Production
Linked source: ey.com

Limited clinical staff makes continuous patient monitoring difficult Organizations struggle to react swiftly to meaningful patient health changes Traditional monitoring relies on spot-checks, missing emerging health trends Delayed intervention can result in patient outcomes worsening Compliance, privacy, and bias issues complicate AI adoption in healthcare Deployed BioIntelliSense wearable for continuous biometric data collection Used Microsoft Azure AI for predictive data analytics and trend mo

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1continuous patient monitoring
2proactive health intervention

Limited clinical staff makes continuous patient monitoring difficult
Organizations struggle to react swiftly to meaningful patient health changes
Traditional monitoring relies on spot-checks, missing emerging health trends
Delayed intervention can result in patient outcomes worsening
Compliance, privacy, and bias issues complicate AI adoption in healthcare

Deployed BioIntelliSense wearable for continuous biometric data collection
Used Microsoft Azure AI for predictive data analytics and trend monitoring
Integrated AI solutions into clinical and operational workflows under EY guidance
EY built governance and ethical frameworks tailored to US healthcare compliance

Technologies

Azure AI

Enabled earlier interventions before critical health events
Improved quality of patient care via real-time analysis
Created operational efficiencies for clinical staff
Advanced clinical use of AI with robust governance standards

Architecture

Patient biometric data is continuously collected by BioIntelliSense wearables, sent to Microsoft Azure for AI-powered analytics, where predictive models surface early-warning trends for clinical teams. Governance and integration frameworks ensure compliant and ethical workflow adoption in healthcare operations.

Implementation partners1

Sources & evidence1

Evidence: Medium50/100Evidence strength