This proposal presents an account of the current development of a Secure Health Information Manageme

This proposal presents an account of the current development of a Secure Health Information Management System (SHIMS). It incorporates key considerations such as ethical considerations, LSEPI issues, detailed user requirements, application of the MoSCoW prioritisation method, as well as detailed project planning. The methodology also considers some recent research into healthcare data breaching and secure EHR systems (Ganiga et al., 2020). 2. Project Overview The Development of a Secure Health Information Management System aims to secure healthcare data through a combination of current and modern web technologies, strong security measures, and appropriate programming frameworks. By introducing security to the system and providing all healthcare professionals with an easy web interface to manage their patient records, it will enable the users to comply with various regulations such as the Health Insurance Portability and Accountability Act (HIPAA) (Nosowsky and Giordano, 2006)-. 3. Problem Statement Increasingly prevalent are breaches in healthcare data that have serious consequences in terms of expenses, legality, and reputational damage (Ponemon Institute, 2016). Breaches of patient privacy can corrode trust and, thus, end trail for patients and healthcare providers alike (Sarkar, 2017). Many existing healthcare information systems are less provisioned with robust security protocols, especially concerning authentication, authorisation, and data encryption, making them vulnerable to cyberattacks (Ganiga et al., 2020). Indeed, there is an urgent need for an end-to-end secure solution that is functional in healthcare environments and allows the adoption of advanced security principles into the system from the bottom up (Jha et al., 2009). 4. Ethical Concerns (LSEPI) Legal, Social, Ethical, and Professional Issues (LSEPI) lie at the core of any project handling sensitive data. For healthcare systems in particular, the stakes are even higher (Sarkar, 2017). Below is an overview of how each aspect will be addressed: Legal and Regulatory Compliance HIPAA (Health Insurance Portability and Accountability Act): Ensuring all data handling, storage, and transmission processes meet HIPAA requirements (Nosowsky and Giordano, 2006). Data Protection (e.g., GDPR where applicable): Maintaining patient confidentiality and limiting data sharing to authorized entities only (Ponemon Institute, 2016). Social Considerations Public Trust: Protecting patient data to maintain and enhance public trust in digital health solutions (Sarkar, 2017). Equal Access: Making sure the system is accessible to healthcare professionals with varying levels of technical proficiency. Ethical Considerations Patient Consent and Confidentiality: No real patient data will be used for this project; only dummy data will be employed. Nevertheless, the design will mimic a real-world system that can handle sensitive data ethically (Ganiga et al., 2020). User Privacy: Strictly enforcing role-based access control (RBAC) to limit the exposure of patient information to only those who need it. Professional Standards Software Engineering Best Practices: Following secure coding standards, version control, documentation, and testing protocols. Project Governance: Ensuring clear ownership, well-documented processes, and accountability for decisions. Ethical Approval the project is a proof-of-concept or prototype using dummy data only. No real patient or healthcare provider data will be involved, minimizing legal and ethical risks. The system design will, however, assume the possibility of becoming ‘live’ in the future. Hence, security and compliance measures will be developed as if the system were to handle real-world patient data. By proactively identifying and addressing these LSEPI issues, the project aims to minimize risks while laying the groundwork for a robust, trustworthy solution (Ponemon Institute, 2016). please i need help with answering the question below i am stuck .. 1.Does your research involve the collection of data and information? 2. Data is raw facts, while information is data that has been processed to add meaning and context. Yes No 3..Please share how you plan to store and manage this data/information?

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