Digital Technologies in Healthcare: Building a New Paradigm for Smart Health Promotion and Precision Care

As societies age, chronic diseases become increasingly prevalent, and healthcare systems face growing workforce shortages, digital technologies are emerging as critical tools for improving healthcare efficiency and quality. In southern Taiwan, Kaohsiung Municipal Kai-Syuan Psychiatric Hospital is advancing a comprehensive vision of smart healthcare by integrating artificial intelligence (AI), cloud platforms, intelligent sensing technologies, and interdisciplinary collaboration to create a healthcare ecosystem that spans health promotion, disease prevention, precision medicine, and long-term care.

From Smart Healthcare to Holistic Health Management

Kai-Syuan Psychiatric Hospital has developed a strategic AI transformation roadmap that outlines short-, medium-, and long-term goals for healthcare innovation.

In the short term, the focus is on automation and patient safety. Key initiatives include the deployment of the AI-powered iSAFE Patient Safety Monitoring System, smart care robots, and AI-assisted workforce scheduling systems. The medium-term strategy centers on integrating hospital data through a FHIR-compliant health information platform and healthcare performance management systems, enabling risk prediction, workflow optimization, and data-driven decision-making. Ultimately, the hospital aims to establish a precision medicine and holistic care framework that supports personalized healthcare and intelligent clinical decision support.

Among these initiatives, the iSAFE system utilizes privacy-preserving video analytics to detect high-risk events such as patient falls, aggressive behavior, and unexpected bed exits in real time. Smart care robots further support hospital operations through patient guidance, health education, and routine care assistance, helping healthcare professionals focus on higher-value clinical tasks.

Building a Comprehensive Smart Elderly Care Ecosystem

To address the challenges of population aging, the hospital has expanded its efforts into smart elderly care. The system combines wearable sensors, infrared imaging, indoor positioning technologies, and cloud-based analytics to continuously monitor daily activities and health conditions among older adults.

By collecting multidimensional data—including gait patterns, physiological signals, and cognitive assessment results—and analyzing them using AI algorithms, the platform can identify early signs of functional decline and health risks.

Practical applications include virtual-interactive cognitive training, Instrumental Activities of Daily Living (IADL) assessments, automated digital scoring systems, and fall-prevention and wandering-detection technologies. Using machine learning models to analyze gait and behavioral characteristics, researchers have already achieved risk classification accuracy exceeding 80 percent. Future development will incorporate deep learning technologies to further enhance predictive performance.

Advancing AI-Powered Precision Psychiatry

Beyond elderly care, Kai-Syuan Hospital is pioneering the application of AI in mental healthcare.

The hospital has established a multimodal mental health assessment platform that integrates clinical symptoms, psychological scales, quantitative electroencephalography (qEEG), functional near-infrared spectroscopy (fNIRS), heart rate variability (HRV), and wearable-device data. Together, these datasets create a traceable, quantifiable, and objective mental health database.

Through AI-powered analytics and clinical decision-support systems, healthcare professionals can identify high-risk patients, support differential diagnosis, predict treatment outcomes, and develop personalized intervention strategies. The platform has already been applied to depression, mood disorders, dementia, cognitive aging, and occupational stress management, helping psychiatry transition from subjective assessment toward objective, data-driven precision medicine.

For dementia and brain health, the team has developed risk-stratification models capable of identifying early cognitive decline and detecting individuals at elevated risk of developing dementia. In depression care, objective biomarkers are being explored to monitor treatment response and improve clinical outcome evaluation.

Extending Health Promotion Beyond the Hospital

According to Dr. Min-Wei Huang, Deputy Superintendent of Kai-Syuan Psychiatric Hospital, the future of healthcare must extend beyond disease treatment toward proactive health promotion and prevention.

To support this vision, the hospital has developed a cloud-based health management platform that integrates physiological measurements, health examination records, psychological assessments, lifestyle data, and family medical history. AI-driven analytics classify health risks and generate personalized health management recommendations.

Citizens can access online screening tools to assess mental well-being, stress levels, sleep quality, lifestyle habits, and chronic disease risks. Based on the results, the system provides tailored health recommendations and referral services.

The hospital has also developed an AI self-service consultation platform featuring more than fifty chatbot modules. These modules support health monitoring, intelligent case management, telehealth services, and sensor-based assessments, enabling individuals to complete preliminary evaluations independently while reducing demands on healthcare personnel.

Toward a Smarter and Healthier Future

Through the integration of intelligent sensing technologies, cloud computing, artificial intelligence, and interdisciplinary healthcare collaboration, Kai-Syuan Psychiatric Hospital is gradually building a comprehensive healthcare ecosystem that spans health promotion, disease screening, precision diagnosis, and long-term care.

This transformation represents more than healthcare digitization. It reflects a fundamental shift in healthcare philosophy—from treating illness to maintaining health, preserving functional independence, and enhancing quality of life.

As aging populations and chronic disease burdens continue to grow worldwide, digital technologies may become far more than efficiency tools. They have the potential to extend healthy life expectancy, reduce disability risks, and serve as foundational infrastructure for future smart health societies.