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My submission looks at data privacy through a healthcare lens and draws a parallel with hospitality. I draw alignment with healthcare constructs in preparation for the project I plan to prepare for the course. I have included URLs , parenthetically, to explain some the concepts that may not be known to those outside the healthcare discipline!
Healthcare data security and privacy in data warehouse architectures, by Thantilage et al. (2023), examines the challenges of balancing data usage and privacy in healthcare data systems. The authors stress that healthcare data is highly sensitive because each record is connected to a patient making data breaches very serious for individuals and institutions. They argue that data security is crucial at every stage of data handling from collection to analysis and presentation and that privacy is not a feature but a fundamental obligation.
This idea can also be applied to the hospitality industry, where companies use data to improve guest experiences through services and efficient operations. However the article cautions and highlights that there is a limit to how much data can be used including the following: the goal of providing an experience should not compromise ethical responsibilities; and, in both industries it is essential to find a balance between effectiveness and protection of dignity, safety and trust.
This balance is similar to the “Iron Triangle” of healthcare (https://ldi.upenn.edu/our-work/research-updates/william-kissick-and-the-iron-triangle-of-health-economics/) , which includes cost, access and quality/ continuity. Improving one aspect typically affects another of the vertices. For example using data to personalize services (i.e., quality of the experience) may increase the expense of care/service delivery (i.e., cost) or decrease the security of the data and risks to privacy (quality).
The selected article supports this idea stating that scalability and accessibility must be balanced with privacy and security protections. A similar balance can be seen in hospitality, where experience, efficiency and trust are important and trust based on data privacy is a non-negotiable requirement.
The healthcare “Triple Aim” ( https://www.ihi.org/library/topics/triple-aim) , which strives to improve experience, population health, and reduce costs can also be applied to hospitality. Guest experience is similar to experience operational efficiency is like cost containment and trust is the foundation of responsible data handling. The article suggests that maintaining trust depends on protecting data integrity and handling sensitive information securely.
Innovation , Intelligence, and Strength are highlighted as three pillars of hospitality excellence https://blog.thessagroup.com/hospitality-in-action-reflecting-on-our-three-pillars! My parallel assessment is that in hospitality a “Triple Aim of Hospitality” could be <i style=”font-family: inherit; font-size: inherit; color: inherit;”>Data Stewardship (access), <i style=”font-family: inherit; font-size: inherit; color: inherit;”>Operational Efficiency (cost) and <i style=”font-family: inherit; font-size: inherit; color: inherit;”>Guest Experience (quality).
This article is helping shape my proposed project, — a discharge care model that combines healthcare and hospitality called a “med-hotel.” This model aims to provide patients with an clinically safe environment as they transition from acute care. However this model must follow healthcare data privacy standards (HIPAA) (https://www.hhs.gov/hipaa/index.html) while also offering hospitality-level services. The article provides a foundation for ensuring that patient dignity and confidentiality are protected while improving their experience.
Conclusively, both healthcare and hospitality face the following common challenge: using data to improve outcomes while safeguarding trust and mitigating against the risk of privacy breaches. . The goal of providing an experience should not compromise ethical responsibilities. Instead sustainable and ethical innovation in hybrid models, like the med-hotel concept I pan to develop with an AI overlay, depends on maintaining a balance among privacy, dignity and safety , which are paramount!
Reference
Thantilage, R. D., Le-Khac, N.-A., & Kechadi, M.-T. (2023). Healthcare data security and privacy in data warehouse architectures. <em data-start=”3698″ data-end=”3736″>Informatics in Medicine Unlocked, 39, 101270. https://doi.org/10.1016/j.imu.2023.101270