Digital Health Platform Powers AI-Driven Insights at MaineHealth Maine Medical Center
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Outcome
At the core of this initiative is the Nihon Kohden Digital Health Platform (NKDHP), a robust digital infrastructure that enables seamless data integration, real-time processing, and advanced analytics. NKDHP provides:
Vendor-agnostic interoperability, supporting integration with existing hospital systems, including Philips patient monitors and Terumo/Medtronic cardiopulmonary bypass machines used at Maine Medical Center.
High-fidelity bedside monitoring integration, allowing continuous patient vitals to be analyzed alongside EMR data.
Programmatic data access for researchers, ensuring standardized, structured data can be leveraged for predictive model development.
Live data feeds for real-time algorithm deployment, allowing predictive models to generate immediate clinical insights.
Secure, ensuring patient data remains protected while being accessible for research purposes.
By leveraging NKDHP, the HEART project transforms patient care by providing real-time risk predictions, enabling clinicians to intervene proactively and ultimately improving patient safety and outcomes in the CTICU.
Solution
The HEART project employs advanced machine learning techniques to analyze data from multiple sources, including:
Society of Thoracic Surgeons (STS) database
Hospital EMR systems (Epic Systems)
Continuous bedside monitoring devices (Philips IntelliVue Patient Monitors)
Cardiopulmonary bypass machines (Terumo and Medtronic)
A live web-based interface, accessible to clinicians on any browser-enabled device, securely receives and displays real-time risk estimates along with relevant patient data. This facilitates timely clinical assessment and decision-making at the bedside, enabling proactive care through explainable artificial intelligence.
“We acknowledge and thank… Nihon Kohden for their generous support and innovative solutions that are facilitating real-time data collection, processing, and validation. [Nihon Kohden’s] partnership is crucial in achieving our goals.”
Mazhude et al.: Enhancing cardiac surgery outcomes with the HEART project
Opportunity
Postoperative complications in cardiac surgery patients significantly impact survival rates, healthcare costs, and recovery times. Traditional risk assessment models rely on static preoperative data, limiting their effectiveness in dynamic clinical environments. The HEART project aims to bridge this gap by creating a real-time decision support system that continuously analyzes patient data to anticipate complications and guide interventions.
Quick Stats
3-way collaboration between MaineHealth Maine Medical Center, Roux Institute, and Nihon Kohden
Real-time predictive modeling integrating bedside and EMR data
200+ patient variables collected per case for comprehensive analysis
11 key adverse outcomes predicted, including acute kidney injury and prolonged ventilation
1200+ annual cardiac surgery patients expected to benefit from the model at Maine Medical Center
The Healthcare Enabled by Artificial Intelligence in Real Time (HEART) project is a groundbreaking collaboration between the Roux Institute at Northeastern University, MaineHealth Maine Medical Center, and Nihon Kohden. The initiative is designed to improve patient outcomes in the Cardiothoracic Intensive Care Unit (CTICU) by leveraging real-time predictive analytics. Through the Nihon Kohden Digital Health Platform (DHP), the project integrates high-fidelity bedside monitoring data with comprehensive electronic medical records (EMR) to deliver real-time risk assessments, helping clinicians make informed decisions and prevent complications.