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Introduction
This Journal of Enterprise Information Management Special Issue (SI) seeks to understand Agentic Artificial Intelligence and Generative AI (GenAI) in healthcare, and how these technologies impact the governance, strategy, and value creation of healthcare organizations. In technological innovation, digital technologies are reconfiguring value creation processes and prompting organizations to develop new adaptive strategies (Mele et al., 2018; Lemos et al., 2025). In healthcare, this transformation is driving the adoption of innovative solutions to enhance value for stakeholders while supporting more personalised, predictive, and preventive models of care (Rani et al., 2024). In this context, Artificial Intelligence (AI) and GenAI are emerging as strategic levers for optimising resource allocation, supporting new care delivery paradigms, and accelerating research and development (Dwivedi et al., 2023; Varghese & Chapiro, 2024; Doron et al., 2024). Meanwhile, the rapid emergence of Agentic AI systems introduces a further step in this transformation. AI technologies are moving from reactive tools towards semi-autonomous systems able to plan, coordinate and monitor actions across complex organizations.
Healthcare is a relevant setting for examining how innovation management shapes competitiveness, sustainability, and value-creation capabilities. Recent debate has shifted from a focus on the technical performance of AI systems to broader concerns related to implementation, accountability, trustworthiness, evaluation, and organisational sustainability (Papagiannidis et al., 2025; Bankins et al., 2024; Xiong et al., 2026). This shift is crucial in healthcare, where Agentic AI and GenAI are not merely digital transformation tools, but sociotechnical systems that potentially affect clinical practices, decision-making processes, care coordination, patient-doctor relationships, resource allocation and costs optimization.
Notably, AI and GenAI are sociotechnical systems with growing autonomy and interactive capabilities, thereby raising new questions around trust, responsibility, human oversight, and governance. As such, they pose a significant challenge to enterprise information management, affecting processes, data, professional roles, compliance, procurement, and monitoring systems (Schiavone et al., 2021).
Thus, the deployment of Agentic AI and GenAI occurs in high-risk, highly regulated, data and human-intensive settings. Healthcare organizations must balance innovation with patient safety, care quality, ethical and regulatory issues, data protection and human oversight preservation. In this context, errors, biases and unclear accountability may affect patients, professionals and healthcare ecosystems. This SI moves beyond the broader discussions of GenAI-enabled digital transformation or Agentic AI in organisational functions. It focuses on how healthcare organizations design, implement, manage and scale AI semi-autonomous systems within complex care environments.
This SI seeks theoretical and empirical contributions examining how health systems, healthcare organizations, and providers develop capabilities, governance structures, and evaluation practices to move from experimentation to technology adoption and integration. Particular attention will be given to agentic workflow integration, responsible value creation, data governance, clinical and managerial accountability, human oversight, professional role reconfiguration, patient-doctor relationship, organisational capabilities and compliance with existing regulatory frameworks.
By focusing on healthcare as the empirical and theoretical context, this SI aims to generate new insights into how Agentic and GenAI systems can be responsibly embedded in healthcare organizations while balancing innovation, safety, equity, trust, regulatory compliance and measurable clinical, organisational, and societal value.
List of Topic Areas
In this context, we invite researchers to address topics including, but not limited to, the following:
- How are GenAI and Agentic AI reshaping clinical, administrative, and managerial workflows in healthcare organizations?
- How do healthcare organizations govern Agentic AI systems across care pathways?
- What organizational capabilities are needed to move from experimental GenAI applications to integrated and scalable Agentic healthcare systems?
- How can healthcare organizations ensure meaningful human oversight when AI systems become more autonomous, proactive, and embedded in clinical or administrative processes?
- How do GenAI and agentic AI create, capture, or potentially destroy value for different healthcare stakeholders?
- How do Agentic and GenAI systems transform healthcare knowledge management?
- How can healthcare organizations evaluate and measure the clinical, organizational, economic, ethical, and societal value generated by GenAI and Agentic AI adoption?
- What governance mechanisms are needed to ensure accountability, transparency and regulatory compliance in AI-enabled healthcare organizations?
- How do GenAI and Agentic AI affect decision-making processes within healthcare organizations?
- How can healthcare organizations manage risks related to automation bias, inequitable outcomes and over-reliance on AI?
- How do agentic AI and GenAI support healthcare system sustainability?
Submission Information
Submissions are made using ScholarOne Manuscripts. Registration and access are available here:
Author guidelines must be strictly followed. Please see:
Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to “Please select the issue you are submitting to”.
Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.
Key Dates
Opening date for manuscript submissions: 1 January 2027
Closing date for manuscript submissions: 30 June 2027
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