AI in Health Services: Advancing Clinical Care, Health Education, and Community Wellbeing

The development of Artificial Intelligence (AI) opens up significant opportunities to transform health services, health workforce education, and efforts to enhance community wellbeing. However, the success of this transformation is not solely determined by the sophistication of the adopted technology but by its ability to address real needs, enhance human competencies, strengthen patient safety, and produce measurable and sustainable impacts. This keynote discusses the role of AI in three interconnected dimensions: improving the quality of clinical care, transforming health education, and strengthening community health. In clinical services, AI has the potential to support medical imaging analysis, risk identification, therapy planning, data-driven decision-making, and patient recovery monitoring. Nevertheless, its utilization must be based on scientific validation, data quality, privacy protection, responsible governance, and healthcare supervision. AI is positioned as a professional decision support tool, not a replacement for clinical judgment, empathy, or human accountability. The experience of implementing robotic total knee replacement (TKR) at Santo Borromeus Hospital serves as an illustration of technological transformation stemming from patients' needs for access to modern orthopedic services domestically. This experience shows that innovation is not merely realized through the procurement of devices but requires readiness in competencies, workflow changes, multidisciplinary coordination, and organizational leadership. It is important to distinguish that robot-assisted surgery does not automatically imply the application of AI, even though the development of its software may present AI-based features. In the context of vocational health higher education, AI offers opportunities to develop adaptive learning, clinical simulations, formative feedback, and competency gap analysis. Curriculum transformation needs to focus on mastering clinical competencies, digital and AI literacy, critical thinking, communication, ethics, and adaptability. The success of education should not only be assessed through the completeness of curriculum documents but must be evidenced by graduates' ability to work safely, effectively, and responsively to the developments in health service practices. Furthermore, enhancing community health requires continuity of services beyond hospital boundaries. The Fracture Liaison Service (FLS) at Santo Borromeus Hospital exemplifies an integrated approach to preventing recurrent fractures through patient identification, risk assessment, intervention, coordination, and follow-up. AI has the potential to strengthen this process through risk identification and service prioritization, as long as its application is validated and remains under healthcare supervision. Aspects of equitable access, justice, digital literacy, and public trust are also important considerations to ensure that the benefits of innovation are not limited to groups that already have access to the best services. As a strategic step, this keynote proposes a 12-month roadmap for AI implementation starting from needs identification, developing controlled-risk pilot projects, evaluating results, to gradual refinement and expansion. Collaboration between vocational colleges, hospitals, technology industries, and communities needs to go beyond signing memorandums of understanding towards developing shared competencies, real projects, and measurable impacts. Ultimately, the transformation of vocational higher education and AI-based health services requires three leadership commitments: producing graduates with proven clinical competencies, adopting AI responsibly, and building collaborations that deliver tangible benefits. Innovation and AI are means, while better services, more relevant education, and healthier communities are the ultimate goals.