Risk Identification and Collaborative Governance of the OMO Model for Shared Caregivers in Medical Public Welfare

DOI: https://doi.org/10.62517/jmhs.202605214

Author(s)

Yuming Guo, Yang Mu, Zixuan Zhang, Jiaojiao Cui, Lingrui Yi

Affiliation(s)

Tianjin Tianshi College, Tianjin, China

Abstract

Against the backdrop of the deepening population aging process and the advancement of the “Healthy China 2030” strategy, the OMO (Online-Merge-Offline) model involving shared caregivers in medical public welfare has emerged as an important pathway to alleviate the imbalance between the supply and demand of caregiving resources and to innovate medical public welfare services. This model integrates compassionate caregiver resources through online platforms while coordinating offline medical institutions and communities to provide caregiving services. By combining characteristics of the sharing economy, medical public welfare, and online–offline integration, it is capable of activating idle caregiving resources in society to a certain extent, thereby reducing family caregiving pressure and the burden on public healthcare systems. However, in practical implementation, this model faces multiple risks, including personnel qualifications, service quality, operational management, technological data security, and legal compliance, which constrain its sustainable development. Based on the practice of the “Shared Care Alliance” project, this study adopts literature review and risk matrix analysis methods to identify the major risk categories of the OMO model of shared caregivers in medical public welfare, analyze the underlying causes of these risks, and construct a prevention and control framework characterized by “pre-event prevention—mid-event control—post-event guarantee—full-process optimization.” Specific strategies are proposed, including improving caregiver access and training mechanisms, promoting service standardization, strengthening multi-party collaboration, enhancing data security protection, and improving legal compliance systems. These strategies can reduce the probability of risk occurrence, improve the operational stability of the model, and provide references for the standardized development of medical public welfare OMO models.

Keywords

Shared Caregivers; Medical Public Welfare; OMO Model; Risk Identification; Prevention and Control Strategies

References

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