Utilizing AI to automatically analyze X-rays, CT scans, MRIs, etc., to help detect early signs of abnormalities (tumors, lesions) and assist physicians in making faster, more accurate diagnoses.

Key Benefits: Improving diagnostic quality, reducing the workload for radiologists, enabling earlier disease detection, and increasing the chances of successful treatment.

Utilizing big data (medical history, drug inventory, duty rosters, etc.) to optimize appointment scheduling, bed management, and efficient medical supply inventory; Analyzing community data for early warnings of potential disease outbreaks.

Key Benefits: Reducing patient wait times, saving operational costs, enhancing hospital management efficiency, and enabling more proactive disease prevention and control.

Developing secure applications/websites to enable patients to receive remote consultations, examinations, and health monitoring from physicians via video calls, chat, etc.; Integrating electronic health record (EHR) management.

Key Benefits: Increasing access to healthcare services (especially in remote and underserved areas), saving patients’ travel time and costs, and reducing the burden on higher-level healthcare facilities.

Applying cybersecurity solutions, and potentially Blockchain (for access rights management), to ensure the absolute protection of sensitive patient information within EHRs, preventing unauthorized access, theft, or data alteration.

Key Benefits: Ensuring patient privacy and information security, complying with legal regulations, and creating a trustworthy foundation for digital health transformation.