INFORMATION TECHNOLOGY AS AN ENABLING INFRASTRUCTURE FOR INTEGRATIVE BURNOUT CARE AT CORPORATE SCALE: CONVERGENCE WITH VALUE-BASED HEALTHCARE AND PSYCHOSOCIAL RISK MANAGEMENT

Background: Burnout is an occupational phenomenon associated with psychosocial characteristics of work and with psychological, occupational, sleep-related, and multidimensional clinical manifestations whose evolution may require longitudinal assessment. At the corporate level, addressing this complexity requires the articulation of organizational psychosocial risk management, protected individual healthcare, and information infrastructures capable of supporting continuity and outcome measurement. Objective: To analyze how Information Technology capabilities originally identified in value-based reimbursement models can enable longitudinal integrative burnout care at corporate scale while preserving the distinction between organizational psychosocial risk information and individual clinical data. Methods: An analytical-conceptual study was conducted by integrating an interpretive reanalysis of findings from a previous qualitative case study involving two health insurers operating value-based reimbursement models with a synthesis of selected scientific and documentary literature on burnout, occupational factors, stress-related psychobiological mechanisms, sleep, integrative interventions, continuity of care, value-based healthcare, psychosocial risk management, data protection, and interoperability. Results: The original case study identified integration, automation, data sharing, and the need for an appropriate technological architecture as relevant Information Technology capabilities in value-based reimbursement. The scientific evidence demonstrated associations between burnout-related outcomes and multiple occupational factors, depression, anxiety, and sleep problems, as well as heterogeneity across investigated psychobiological parameters. The synthesis identified longitudinality as the principal point of convergence between clinical needs and informational capabilities. From these findings, a convergence matrix and a conceptual architecture comprising an organizational layer, a protected clinical care layer, information governance, and a cross-cutting Information Technology infrastructure were developed. Conclusion: Information Technology may constitute an enabling infrastructure for longitudinal integrative burnout care when interoperability, information continuity, automation, outcome measurement, privacy, and access segregation are incorporated into its architecture. The proposed model conceptually connects integrative care, psychosocial risk management, and value-based healthcare while maintaining a structural boundary between organizational indicators and individualized clinical information. Its principal scientific contribution lies in providing an interdisciplinary framework for the future development and empirical evaluation of corporate longitudinal care models that integrate care, information, governance, and value without conflating organizational risk management with individual clinical surveillance.