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Reflection on IoT Design Using the Ten Commandments of Computer Ethics

NWADIOGU KINGSLEY

FINAL ASSESSMENT 3

TD015

Reflection on IoT Design Using the Ten Commandments of Computer Ethics

My IoT concept—the Smart Health Monitor Patch, AI-Driven Diagnostic Assistant, and Telehealth Integration Hub—raises ethical issues when examined through the Ten Commandments of Computer Ethics. First, “Thou shalt not use a computer to harm others” is crucial. Misdiagnosis can damage patients if gadgets malfunction or data analysis is inaccurate. This requires rigorous testing, real-time system audits, and human monitoring in the healthcare system. Regarding “Thou shalt not snoop around in other people’s files,” patient data must be protected. Data communications can be encrypted, user responsibilities limited, and HIPAA compliance maintained to avoid unwanted access. Another important rule is “Thou shalt not appropriate other people’s intellectual output.” AI algorithms must use licensed databases and not imitate medical studies. We can prevent these infractions by ethical auditing and openness. These commandments build trust between patients, healthcare practitioners, and technology businesses, which is essential for long-term success.

Application of Computer Security Knowledge to the IoT Concept

Applying computer security to my IoT devices reveals various weaknesses and threats. First, the Smart Health Monitor Patch and Telehealth Hub send real-time data over 5G and Bluetooth networks, making them vulnerable to man-in-the-middle attacks and spoofing. End-to-end encryption (E2EE), biometric authentication, and security fixes can reduce this risk (Alatawi & Saxena, 2023). Second, the AI-Driven Diagnostic Assistant must be protected from data poisoning attacks, which alter training data to make false diagnoses. Implement secure data collection, anomaly detection, and AI model validation to combat this. Third, cloud storage for patient data risks centralized breaches. Healthcare providers can improve security with decentralized cloud models or zero-trust architecture. Penetration testing, security audits, and NIST SP 800-53 compliance will reduce breaches (Raoof, 2024). Adding security “by design” ensures that life-critical equipment are reliable and trustworthy.

Final Evaluation and Preventive Strategies

In conclusion, IoT innovations like the Smart Health Monitor Patch, AI-Driven Diagnostic Assistant, and Telehealth Integration Hub improve healthcare delivery but also pose ethical and security risks. The Ten Commandments of Computer Ethics, proactive damage prevention, and strong cybersecurity standards will determine the success of these gadgets. Designed with privacy-first principles, continuous vulnerability monitoring, and transparency, these devices prevent infractions and provide an ethical framework for their use. Additionally, working with healthcare authorities, cybersecurity specialists, and ethicists throughout the product lifecycle will assure compliance and patient safety (McDermott et al., 2022). IoT in healthcare must be made a responsible, trustworthy shift in patient care by ethical foresight and security awareness.

References

Alatawi, M., & Saxena, N. (2023). SoK: An Analysis of End-to-End Encryption and Authentication Ceremonies in Secure Messaging Systems. https://doi.org/10.1145/3558482.3581773

McDermott, O., Foley, I., Antony, J., Sony, M., & Butler, M. (2022). The Impact of Industry 4.0 on the Medical Device Regulatory Product Life Cycle Compliance. Sustainability, 14(21), 14650. https://doi.org/10.3390/su142114650

Raoof, M. M. (2024). United States Healthcare Data Breaches: Insights for NIST SP 800-66 Revision 2 from a Review of the NIST SP 800-66 Revision 1. Journal of Information Security, 15(02), 232–244. https://doi.org/10.4236/jis.2024.152014

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NWADIOGU, KINGSLEY TD015

MEMO

To: Potential Investors From: Kingsley Nwadiogu Date: April 29, 2025 Subject: Investment Proposal for Smart Healthcare IoT Innovations

Dear Esteemed Investors,

It is my pleasure to present an investment opportunity that is set to revolutionize the healthcare industry by leveraging IoT and AI. The three subsystems we envision include the Smart Health Monitor Patch (SHMP), AI-Driven Diagnostic Assistant and Telehealth Integration Hub (TIH). These will enable effective constant monitoring of patients, early identification of the diseases, and delivery of quality telemedicine services, thus bringing a new unique patient-centric model to the health sector. Kindly find time to peruse this proposal, and I believe that we can clinch a deal in undertaking this change.

Sincerely, Kingsley Nwadiogu

Executive Summary

The digital transformation of the healthcare sector is already happening at a fast pace, and one of the sectors that is benefiting from this is the Internet of Things (IoT). The organization of this innovative healthcare system into three key components is a smart health monitor patch, AI-driven diagnosis assistance, and an integrated telehealth hub. In this manner these technologies assist the healthcare providers to provide enhanced, swift, safer, and efficient care to the patients. This plan aims at capturing the rapidly growing IoT market, especially in the healthcare industry, thus giving good returns on investment.

Project Description

The Smart Health Monitor Patch is a wireless device that is portable and can be used singly, and preferably for single use, as it is compact. These data collected from the patch will be transmitted to a cloud server either through a 5G network or Bluetooth technology. Telecare services help the healthcare providers to get the live updates regularly to check on the patients and attend to them immediately if their health deteriorates. Some of the chronic illnesses that are well handled through this device are hypertension, diabetes, and heart diseases, among others.

As for the role of the AI-driven diagnostic assistant, it is to analyze all the health data collected from the patches. It employs sophisticated artificial intelligence techniques to look for features or trends that are typical of early manifestations of diseases like atrial fibrillation or chest diseases. Real-time patient data is compared with patients’ data history, medical records, and various databases; thus, the AI system helps doctors in preventive healthcare. It has the advantage of increasing patient satisfaction due to good prognosis while it also helps decrease hospitalization risks and the overall healthcare expenditure.

The Telehealth Integration Hub supports the system’s objectives by providing a centralized cloud-associated platform that consolidates patients, caretakers, and healthcare professionals. This hub can conduct virtual consultations, perform remote diagnoses, and issue automatic alerts on emergencies. By connecting with the Smart Health Monitor Patch and the AI Diagnostic Assistant, the healthcare providers can be walking with the patients during virtual meetings, hence making proper decisions and rendering the needed healthcare services to the patients without visiting the hospital.

Market Opportunity

The Internet of Things Medical Devices market on a global scale is expected to reach up to $971.01 billion by the year 2034 (Precedence Research, 2025). This growth is due to increased cases of aging people, increased prevalence of chronic diseases, and an increase in demand for telehealth services, especially after the COVID-19 pandemic. Therefore, our system aims to offer a comprehensive and secure health care monitoring system to suit these trends.

Just the wearable healthcare device industry has been growing with an estimated compound annual growth rate (CAGR) of 18%. While the sector of telehealth services, for instance, has increased by over 60% in the recent past. Our approach, based on wearable technologies, AI diagnostics, and telehealth services, optimally covers the needs of a growing market segment. By entering the market at this critical juncture, we shall make sure that we get a fresh set of consumers who are willing to try out new brands (Al-Antari, 2023).

 

Table 1: Market Size Projection

Year	Market Size (USD Billion)
2025	310.5
2028	500.0
2031	725.0
2034	971.01

Financial Overview

Based upon the above analysis of cost and assuming that initial establishment of the cloud will require major spending on research and development, along with investment in necessary clouds, regulatory compliance costs, and marketing, the total estimated cost for now is approximately $3.25 million. This will mainly finance the last stage of product development, market entry, and first operations on a commercial scale. It is also very important to forecast the potential revenue for the business for each year of operation—the analysis shows that in the first year of operation, the business would be generating $500,000; this should increase to $2 million in the second year of business and should touch about $5.5 million in the third year of business, and the business should be able to break even by the end of its third year of operation.

Table 2: Financial Summary

Category	Estimated Cost (USD)
Research and Development	800,000
Manufacturing Setup	1,200,000
Cloud Infrastructure	600,000
Marketing & Promotions	400,000
Regulatory Compliance	250,000
Total	3,250,000

Moreover, the operational efficiencies will involve cooperation with the healthcare providers and insurance companies to mark future scalable growth. The ability to target specific health care institutions and the evidence proving the effectiveness of the technology when applied to pilot projects will ensure a swift uptake in the overall adoption.

Security and Ethical Considerations

Regarding our IoT healthcare ecosystem, we had a focus on privacy, security, and ethical considerations in IoT. Considering the Ten Commandments of Computer Ethics, we will not endanger users through system-caused mishaps, we will not use the system to spy on users and their data, and we resolve to be truthful and clear about the data we intend to collect on the users. This means that data generated from all devices will be protected through the use of encryption, whereas biometric means will sharpen up access control.

 

Additionally, all of our AI diagnostic models are made and trained with licensed medical datasets to avoid issues with IP theft. Furthermore, having security audits, vulnerability assessments, and compliance with the HIPAA regulations and NIST SP 800-53 standards will transform it in its security aspect (Raoof, 2024). Ethical considerations are applied throughout the entire project, building credibility with the users, providers, and the government.

As indicated by McDermott et al. (2022) and Raoof (2024), it is highly recommended to begin incorporating cybersecurity and ethical issues right from the development phase to ensure the system’s stability and the community’s confidence in the system. The following are the best practices aligned to our approach to guarantee sustainable success.

Conclusion

Therefore, IoT as well as AI, along with the telehealth setup, marks a new era in the advancement of modern medicine. The single package of Smart Health Monitor Patch, AI-Driven Diagnostic Assistant, and Telehealth Integration Hub brings about a well-integrated solution that is highly relevant to the current healthcare demands. It is not only to foster promising commercial value but also to enhance numerous people’s healthcare experiences by providing early detection, observation, and treatment.

Through funding this venture, you are promoting the development of a medical system that is efficient, quick, secure, and tailored to individuals in the future. Thank you for being part of this pioneering process of change.

References

Al-Antari, M. A. (2023). Artificial intelligence for medical diagnostics—existing and future aI technology!.  Diagnostics,  13(4), 688. https://www.mdpi.com/2075-4418/13/4/688

McDermott, O., Foley, I., Antony, J., Sony, M., & Butler, M. (2022). The impact of industry 4.0 on the medical device regulatory product life cycle compliance.  Sustainability,  14(21), 14650. https://www.mdpi.com/2071-1050/14/21/14650

Precedence Research. (2025, January 31). IoT Medical Devices Market Size to Hit USD 971.01 Billion by 2034. Precedence Research. https://www.precedenceresearch.com/iot-medical-devices-market

Raoof, M. M. (2024). United States Healthcare Data Breaches: Insights for NIST SP 800-66 Revision 2 from a Review of the NIST SP 800-66 Revision 1.  Journal of Information Security,  15(2), 232-244. https://www.scirp.org/journal/paperinformation?paperid=132826

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