Lung Cancer Patient
Patient-Centered and Innovatively introduced the 'Immediate Diagnosis' medical service model, integrating three advanced AI technologies: ClearRead CT, DeepMets, and the AI Brainwave System. This enables same-day report generation, facilitating comprehensive physiological examinations and treatments ranging from lung nodules to brain metastases. Additionally, the AI Brainwave System calculates early psychological health risk factors, identifying potential mental health issues at an early stage.
By leveraging intelligent systems, we integrate precision treatment plans to ensure a complete and effective treatment process. Through psychological stress index evaluations, we conduct comprehensive mental health assessments to better understand how to alleviate patients' psychological stress, providing precise treatment and diagnosis.
This innovative model showcases our hospital's commitment to advancing medical services by tailoring treatment plans based on patient-specific characteristics, enhancing adherence and meeting patient needs. It simultaneously improves overall quality of life, boosts treatment effectiveness, and increases survival rates.
Cross-Process System Integration: Integrating resources across clinical staff and AI systems from three different vendors requires close collaboration. Physicians must work closely with radiology personnel, who play a crucial role in verifying the accuracy of AI-driven image interpretations. Radiology staff must also communicate with AI system vendors to understand the interpretation rules and limitations of the AI technology. This ensures that these tools are applied appropriately in clinical settings, preventing diagnostic errors caused by misunderstandings of the technology. By achieving seamless integration between AI vendors and hospital workflows, this approach enhances the efficiency and fluidity of the one-stop service process.
Improving Care Quality Through Technology: In the past, lung cancer was often detected at an advanced stage, resulting in persistently high mortality rates. With the integration of intelligent technologies, early diagnosis and precision treatment have become achievable. This study utilized an innovative combination of three intelligent technological tools, enabling timely intervention for lung cancer and providing appropriate physical and psychological treatment. This approach contributes to improving patient survival rates.
The AI algorithm is deployed on the cloud, so the security of the cloud system and data transmission requires certification from an impartial third party for cybersecurity. Therefore, we have commissioned Anhua Network Technology, a member of the CREST Cybersecurity Certification Alliance, to conduct network penetration testing on the cloud platform. After software updates and revisions, the test passed, ensuring the security of both the data and the platform's operation.
The instrument has undergone domestic research and development with data quantitative analysis software, and an AI model algorithm has been established through relevant experiments. It has obtained certifications from the U.S. FDA and Taiwan TFDA, and is regularly tested and calibrated.
This project is applied to lung cancer cases, with a medication administration rate of 60%, and a self-reported symptom improvement rate of 100%. Currently, all lung cancer cases enrolled have psychological health screening results classified as low to medium risk. Among them, 40% did not require medication, 60% required a single dose of medication, and none needed long-term medication (two or more treatment courses). However, symptoms showed significant improvement upon follow-up. This indicates that for cases assessed as low to medium risk, symptom improvement can often be achieved without medication or with only a single dose, thus avoiding the need for long-term medication.
The AI algorithm is deployed on the cloud, so the security of the cloud system and data transmission requires certification from an impartial third party for cybersecurity. Therefore, we have commissioned Anhua Network Technology, a member of the CREST Cybersecurity Certification Alliance, to conduct network penetration testing on the cloud platform. After software updates and revisions, the test passed, ensuring the security of both the data and the platform's operation. 2.The instrument has undergone domestic research and development with data quantitative analysis software, and an AI model algorithm has been established through relevant experiments. It has obtained certifications from the U.S. FDA and Taiwan TFDA, and is regularly tested and calibrated.
Telephone interviews were conducted with healthcare teams and patients to analyze satisfaction, with an overall satisfaction rate reaching 90%.
