Leading hospital innovation with multimodal XAI-based patient monitoring
Vendor-neutral wearables, AI alerts, and automated SOAP documentation
Expanding nationwide and entering global markets

Seoul – October 28, 2025 –

According to a report by Edaily’s Im Jeongyo, hospital patient-monitoring technology company People and Technology announced on the 28th that it has been finally selected for the Ministry of SMEs and Startups’ 2025 Scale-up TIPS (Tech Incubator Program for Scale-up) R&D project.

The Scale-up TIPS program selects high-growth potential, technology-based companies that have secured over 1 billion KRW (≈ USD 750K) in private investment, and provides up to 1.2 billion KRW (≈ USD 900K) in matching government funding over three years.

The selected project, titled “Development and Clinical Validation of a Multimodal XAI-based Wearable Smart Patient Monitoring Integrated System,” aims to collect patients’ vital signs in real time within hospitals and use explainable AI (XAI) to analyze them, automatically linking results with electronic medical records (EMR) and generating SOAP-based (Subjective, Objective, Assessment, Plan) patient progress notes. The goal is to shift hospital operations toward a data-driven model.

Korea’s healthcare environment faces rapid aging and worsening medical staff shortages. Traditional methods—checking vital signs every two to three hours—make it difficult to detect early patient deterioration, leading to ICU transfers, prolonged hospital stays, and caregiver overload.

People and Technology believes these structural problems can be solved through real-time patient monitoring and AI analytics, moving beyond simple alarms to a data-based clinical decision support system powered by AI.

The company’s core technology pillars are:

1. Vendor-neutral architecture, allowing integration of various wearable devices without dependence on a specific manufacturer.

2. Smart Flow™ system, which connects patient biosignals with hospital HIS/EMR and automatically generates SOAP-based progress records.

3. Med XAI™ technology, a context-aware AI that not only alerts but also explains the causes of detected risks.

According to the company, this architecture allows hospitals to flexibly integrate more than four types of domestic and international wearable devices, digitize the process of medical data entry and recording, and analyze multimodal biosignals such as ECG, heart sounds, and SpO₂ to predict deterioration risk. The AI employs the SHAP (Shapley Additive Explanations) method to identify and visualize which biosignals and organ systems most contributed to the risk increase.

The project will be conducted jointly with National Health Insurance Service Ilsan Hospital, performing clinical validation in real hospital wards. The technology will be first applied to integrated nursing wards, focusing on automating the full data flow: real-time data collection, AI-based risk analysis, SOAP auto-generation, and EMR integration.

Leveraging its experience deploying smart hospital solutions in over 50 hospitals nationwide, People and Technology plans to rapidly scale up this technology to real clinical environments. The commercialization strategy begins with flagship tertiary hospitals to build reference cases, then expands to regional hospitals, with faster adoption among existing clients. To ease hospitals’ financial burden, the company is also introducing R/S (revenue sharing) and leasing-based business models.

The firm is also targeting global expansion, focusing first on regions with lighter regulatory barriers such as the Middle East, North Africa, and Southeast Asia, before advancing to Europe and the United States.

CEO Hong Seong-pyo of People and Technology stated:

“Simply installing new equipment does not make a hospital truly smart. A real smart hospital must enable continuous real-time data flow, where AI interprets and supports clinical decisions. This Scale-up TIPS project is about implementing that structure in hospitals. Real-time patient monitoring is not the end—it’s the beginning. Ultimately, the goal is to establish AI- and data-driven standards for smart hospitals.”

 

Source: Edaily