Optimizing Healthcare Information Management: Strategies for Effective Structuring and Integration
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Healthcare information management, information overload, data integration, healthcare organizations, clinical decision support
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Abstract
Unlock the full potential of your healthcare organization's data by structuring and integrating information effectively. Discover how to harness the power of optimized information use while minimizing the risks of information overload. Learn to streamline data management, enhance decision-making, and improve patient outcomes. Optimize your healthcare organization's information infrastructure today.
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[...] Pre-assessment of digital maturity Before any transformation, it is essential to assess the digital maturity of the company. The assessment of digital maturity should not be limited to a technical analysis but should also consider human and organizational resistance to change. According to Lahlou and Autissier (1999), the perception of change varies among individuals and organizations, and blockages can arise not only from a lack of digital skills but also from a fear of change and an attachment to traditional working methods. [...]
[...] (2002). Managerial information overload. Communication of the ACM pp. 127-131. Godé, C. (2022). Introductory remarks. Emerging technologies and digitalization of organizations. Research and Case in Management Science,. IMS Luxembourg. (n.d.). Information Overload in the Enterprise. Isaac, H., Campoy, E., & Kalika, M. [...]
[...] However, as Varenne and Godé point out, the integration of technologies cannot be effective without a reworking of organizational processes and a strategic alignment. Thus, digitalization does not only involve the adoption of technological tools. It implies a structured change management, a skills upgrade of employees and a progressive transformation of organizational practices. Optimizing information flows and automating processes remain major challenges, requiring a coherent strategy to ensure the success of the transition to a dynamic and sustainable digital model. 2.3. [...]
[...] Finally, although SMACIT technologies (Social, Mobile, Analytical, Cloud, and Internet of Things) have been highlighted as key solutions to structure information flows, their actual effectiveness depends on many factors that are still poorly understood. Farhoomand and Drury (2002) emphasize that the perception of information urgency generated by these technologies can induce additional overload rather than reducing it. In conclusion, although Varenne and Godé (2023) propose a structured analytical framework for digital transformation, it presents limitations when applied to complex sectors such as healthcare. [...]
[...] It not only facilitates the automation of processes, but also the management of data and interaction with users. Its effectiveness relies on the ability to create synergies within the organization and to take advantage of the feedback from stakeholders. This process is essential for dynamically adjusting the services offered and maximizing the network effects. In conclusion, BMD² presents itself as a complete and adaptable model, capable of responding to the complex challenges of digital transformation. By placing the entrepreneur at the center of the process, integrating precise diagnostic tools, and promoting personalized accompaniment, it offers a structured roadmap for organizations seeking to optimize their business models and tackle the challenges of digitalization. [...]
