AI and KM in health care in academics’ sources
| Macro-topics | Themes | Original quotes | Impact on SDGs achievement |
|---|---|---|---|
| Health-care innovation | Digital patient care and health technologies | AI implementation supports patients through digital care assistance, improving contact-reduced health care and interpersonal interactions conducive to maintaining high health conditions (Barbieri et al., 2023) Wearable sensors and digital biomarkers like PPG enable continuous remote health monitoring (Gangl and Krychtiuk, 2023) | SDG 3, SDG 9, SDG 10 and SDG 11 |
| Data and network structures | Vertical and horizontal AI-driven network structures | AI capabilities facilitate vertical and horizontal network reconfigurations, rapidly analyzing comprehensive patient records across different organizational structures, enhancing predictive accuracy (Caserta and Romero, 2024; Guo et al., 2020) | SDG 3, SDG 9, SDG 10 and SDG 11 |
| Data-driven pandemic management and traceability | Automated data systems during the COVID-19 pandemic provided timely and reliable information crucial for patient traceability, influencing public health policies and territorial management (Tuzii and Bottari, 2022) | ||
| Ethics and privacy | Data privacy, invasive monitoring and ethical concerns | New surveillance technologies and IoT brought privacy and ethical aspects of AI to the forefront, significantly impacting health care decision-making processes (Dabla et al., 2021; Mittelstadt and Floridi, 2016) | SDG 3 and SDG 9 |
| Bias and datafication in health care | Datafication risks oversimplifying and undermining the uniqueness of patient experiences, particularly in mental health care, introducing bias through preprocessing and variable selection (Becker et al., 2018; Mwase et al., 2025; Rubeis, 2022) | SDG 3 and SDG 9 | |
| Learning and knowledge sharing | Algorithmic learning and triage automation | Platform24 developed AI-driven automated triage systems, significantly reducing human resource needs and improving efficiency in patient prioritization and medical referrals (Björkdahl et al., 2024) | SDG 3, SDG 4 and SDG 9 |
| Knowledge sharing through digital innovations | Technological advancements like chatbots, conversational agents and metaverse applications foster knowledge transfer and facilitate innovative clinical problem-solving (Hajian et al., 2024; Lazarus et al., 2024; Rainey et al., 2023) | SDG 3, SDG 4 and SDG 9 | |
| Social well-being | Social inequalities caused by digital health care | Despite their potential, digital technologies generally amplify existing social and economic inequalities in health care, challenging the notion that these innovations naturally reduce disparities (Sorin et al., 2024; Weiss et al., 2018) | SDG 3, SDG 9 and SDG 10 |
| Digital well-being promotion during COVID-19 pandemic | Digital solutions such as the adapt-café mobile application promoted nutrition, physical activity and social interaction during COVID-19 lockdowns, enhancing social and mental well-being (Meinert et al., 2020; Pappa et al., 2020) | SDG 3 and SDG 9 | |
| Environmental sustainability | AI-supported green supply chain | AI enhances the efficiency of green supply chains by facilitating real-time environmental monitoring, data assimilation and stakeholder education, critical for health-care sustainability (Benzidia et al., 2021; Halbusi et al., 2024) | SDG 3, SDG 9, SDG 11 and SDG 13 |
| Environmental and financial sustainability in health care | Sustainable health care integrates environmental responsibility with financial viability, emphasizing renewable energy, water conservation and reducing greenhouse emissions as core management strategies (Gleißner et al., 2022; Jabbour et al., 2015; Leung and You, 2023) | SDG 3, SDG 8, SDG 9, SDG 7, SDG 11 and SDG 12 | |
| Governance and management | Governance frameworks in complex health-care systems | Corporate governance frameworks addressing management structure, transparency, internal controls, audit and risk management are essential to managing complexity and improving decision-making in modern health-care organizations (Cagliano et al., 2011; Sepetis et al., 2024) | SDG 3 and SDG 8 |
| Macro-topics | Themes | Original quotes | Impact on SDGs achievement |
|---|---|---|---|
| Health-care innovation | Digital patient care and health technologies | ||
| Data and network structures | Vertical and horizontal AI-driven network structures | ||
| Data-driven pandemic management and traceability | Automated data systems during the COVID-19 pandemic provided timely and reliable information crucial for patient traceability, influencing public health policies and territorial management ( | ||
| Ethics and privacy | Data privacy, invasive monitoring and ethical concerns | New surveillance technologies and IoT brought privacy and ethical aspects of | |
| Bias and datafication in health care | Datafication risks oversimplifying and undermining the uniqueness of patient experiences, particularly in mental health care, introducing bias through preprocessing and variable selection ( | ||
| Learning and knowledge sharing | Algorithmic learning and triage automation | Platform24 developed AI-driven automated triage systems, significantly reducing human resource needs and improving efficiency in patient prioritization and medical referrals ( | |
| Knowledge sharing through digital innovations | Technological advancements like chatbots, conversational agents and metaverse applications foster knowledge transfer and facilitate innovative clinical problem-solving ( | ||
| Social well-being | Social inequalities caused by digital health care | Despite their potential, digital technologies generally amplify existing social and economic inequalities in health care, challenging the notion that these innovations naturally reduce disparities ( | |
| Digital well-being promotion during COVID-19 pandemic | Digital solutions such as the adapt-café mobile application promoted nutrition, physical activity and social interaction during COVID-19 lockdowns, enhancing social and mental well-being ( | ||
| Environmental sustainability | AI-supported green supply chain | ||
| Environmental and financial sustainability in health care | Sustainable health care integrates environmental responsibility with financial viability, emphasizing renewable energy, water conservation and reducing greenhouse emissions as core management strategies ( | ||
| Governance and management | Governance frameworks in complex health-care systems | Corporate governance frameworks addressing management structure, transparency, internal controls, audit and risk management are essential to managing complexity and improving decision-making in modern health-care organizations ( |