The goal of this project is to integrate your various components into polished, professional products. Follow the instructions below to ensure a successful
The goal of this project is to integrate your various components into polished, professional products. Follow the instructions below to ensure a successful submission:
Apply Feedback: Review and incorporate all feedback received from previous submissions (Parts 2-6).
Enhance and Improve: Refine any of the three required items (cover letter with proposal, spreadsheet, and presentation) to ensure they are suitable for presenting to real investors.
PowerPoint Presentation:
Convert your PowerPoint presentation to a PowerPoint Show format (.ppsx).
Save it with the filename format: <LastNameFirstInitial_PowerPoint> (e.g., OserK_PowerPoint).
Submission Requirements: Submit all three final artifacts via the assignment submission link. Ensure each file is properly named and formatted:
Proposal: Submit a .docx file saved as <LastNameFirstInitial_Proposal> (e.g., OserK_Proposal).
Spreadsheet: Submit an .xlsx file saved as <LastNameFirstInitial_Spreadsheet> (e.g., OserK_Spreadsheet).
Presentation: Submit a .ppsx file saved as <LastNameFirstInitial_PowerPoint> (e.g., OserK_PowerPoint).
Attachments: Ensure you upload three attachments to Blackboard: one .docx file, one .xlsx file, and one .ppsx file.
Important Notes:
Your submission must be clean, informative, and aesthetically pleasing. Carefully check for spelling and grammar errors.
This is a final assessment, so be thorough and extensive in your submission. Minimalist work will not be sufficient and will be graded accordingly.
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NWADIOGU, KINGSLEY
The Future of IoT in Healthcare: Enhancing Patient Monitoring and Diagnosis
TD015
The Future of IoT in Healthcare: Enhancing Patient Monitoring and Diagnosis
Introduction
The combination of the Internet of Things (IoT) in healthcare is changing the industry by improving patient care, early diagnosis, and real-time monitoring. Modern healthcare is characterized by the growing importance of IoT based on medical devices, which are projected to accumulate a market value of $971.01 billion in 2034 (Precedence Research, 2025). In these AI-empowered diagnostics and wearable health monitoring systems, IoT technology is driving toward a future where healthcare is more accessible, efficient, and proactive. This paper examines three connected IoT devices: Smart Health Monitor Patch, AI-Driven Diagnostic Assistant, and Telehealth Integration Hub, which collectively increase healthcare efficiency and patient outcomes.
IoT Devices Enhancing Healthcare
1. Smart Health Monitor Patch
Patient monitoring with wearable health devices has become increasingly important as the devices give timely feedback on signs like heart rate, oxygen levels, and hypertension (Shamrei, 2023). The Smart Health Monitor Patch is a wireless, lightweight, disposable device designed to continuously monitor vital signs and provide patients and healthcare providers with this valuable health data. The patch transmits live updates to a tethered or secured cloud-based system via 5G or Bluetooth for remote patient monitoring. This has proven particularly valuable in managing chronic diseases like hypertension, diabetes, and heart conditions and is meant to mitigate the demand for patients to visit hospitals frequently.
2. AI-Driven Diagnostic Assistant
Medical diagnostics, predictive analytics, and disease detection are influenced by Artificial Intelligence (Al-Antari, 2023). The Smart Health Monitor Patch data are collected and then analyzed by machine learning algorithms in the AI-driven diagnostic Assistant to determine patient symptoms. However, the system compares real-time health data against historical patient records and medical databases and can recognize early warning signs of severe conditions, including arrhythmias or respiratory diseases. AI alerts patients and doctors if there is an anomaly, which helps in early intervention and tweaking the treatment plan for a patient.
3. Telehealth Integration Hub
With the advent of telehealth solutions, patient care has been revolutionized through remote consultations and automated prescription management (Shamrei, 2023). The Telehealth Telehealth Integration Hub is a cloud-based platform that enables doctors, caregivers, and emergency services to create a smooth undercurrent of information. Smart Health Monitor Patch and AI Directed Diagnostic Assistant data help integrate real-time patient monitoring by healthcare providers during virtual appointments. The system can automatically trigger emergency medical teams, reducing latencies and preventing serious health incidents.
The Future of IoT in Healthcare
IoT and AI innovations lead healthcare towards preventive and real-time healthcare models (Precedence Research, 2025). However, healthcare providers will begin to offer more personalized, data-driven, and proactive treatments as IoT adoption increases. In addition, wireless technology, cybersecurity, and AI-driven diagnostics will further enhance patient safety and healthcare efficiency. By communicating with all these interconnected IoT devices, the healthcare system can detect early diseases, monitor patients, and facilitate emergency services, resulting in better health outcomes and reduced medical costs.
Conclusion
IoT technology will redefine healthcare in the next five years by making patient monitoring innovative, faster, and more efficient. The Smart Health Monitor Patch, AI-driven Diagnostic Assistant, and Telehealth Integration Hub combined make healthcare more accessible and enhance disease prevention strategies. As the IoT medical devices market grows exponentially, healthcare providers must adopt IoT-enabled healthcare delivery solutions to ensure better, data-driven, and proactive healthcare services. These innovations help usher in this more connected, patient-centric healthcare ecosystem that will ensure technology continues to streamline healthcare efficiency and patient well-being.
References
Al-Antari M. A. (2023). Artificial Intelligence for Medical Diagnostics- Existing and Future AI Technology! Diagnostics (Basel, Switzerland), 13(4), 688. https://doi.org/10.3390/diagnostics13040688
Precedence Research. (2025, January 31). IoT medical devices market size to hit USD 971.01 billion by 2034. Precedence Research – Statistical Platform for Market Intelligence, Market Research & Consulting. https://www.precedenceresearch.com/iot-medical-devices-market
Shamrei, Y. (2023, December 19). Healthcare IoT software: Top 5 trends to watch in 2025. SumatoSoft. https://sumatosoft.com/blog/top-iot-healthcare-trends
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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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Sheet1
Year | Revenue | R&D Cost | Manufacturing Cost | Cloud Infrastructure Cost | Marketing & Promotion | Regulatory Compliance | Total Cost |
1 | $500,000.00 | $800,000.00 | $1,200,000.00 | $600,000.00 | $400,000.00 | $250,000.00 | $3,250,000.00 |
2 | $575,000.00 | $850,000.00 | $1,250,040.00 | $649,980.00 | $420,000.00 | $260,000.00 | $3,430,020.00 |
3 | $661,250.00 | $903,125.00 | $1,302,166.67 | $704,123.33 | $441,000.00 | $270,400.00 | $3,620,815.00 |
4 | $760,437.50 | $959,570.31 | $1,356,467.02 | $762,776.81 | $463,050.00 | $281,216.00 | $3,823,080.14 |
5 | $874,503.13 | $1,019,543.46 | $1,413,031.69 | $826,316.12 | $486,202.50 | $292,464.64 | $4,037,558.41 |
Compound Annual Growth Rate | 15% | ||||||
Total Revenue (Year 1-5) | $3,371,190.63 | ||||||
Total Cost (Year 1-5) | $18,161,473.55 |
Revenue vs Total Cost Over Years
Year Revenue R & D Cost Manufacturing Cost Cloud Infrastructure Cost Marketing & Promotion Regulatory Compliance Total Cost 1 500000 800000 1200000 600000 400000 250000 3250000 Year Revenue R & D Cost Manufacturing Cost Cloud Infrastructure Cost Marketing & Promotion Regulatory Compliance Total Cost 2 575000 850000 1250040 649980 420000 260000 3430020 Year Revenue R & D Cost Manufacturing Cost Cloud Infrastructure Cost Marketing & Promotion Regulatory Compliance Total Cost 3 661250 903125 1302166.6680000001 704123.33399999992 441000 270400 3620815.0019999999 Year Revenue R & D Cost Manufacturing Cost Cloud Infrastructure Cost Marketing & Promotion Regulatory Compliance Total Cost 4 760437.49999999988 959570.3125 1356467.0180556001 762776.80772219982 463050 281216 3823080.1382777998 Year Revenue R & D Cost Manufacturing Cost Cloud Infrastructure Cost Marketing & Promotion Regulatory Compliance Total Cost 5 874503.12499999977 1019543.45703125 1413031.6927085188 826316.11580545898 486202.5 292464.64000000001 4037558.4055452277
Amount($)
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Investment Proposal for Smart Healthcare IoT Innovations
Subtitle: By Kingsley Nwadiogu
Date: April 29, 2025
Company: IoT Health Innovations
Presentation for: Potential Investors
Contact: Kingsley Nwadiogu, CEO
Executive Summary
Digital transformation is reshaping the healthcare sector, and IoT is a key enabler (Precedence Research, 2025).
The proposal focuses on three key subsystems: Smart Health Monitor Patch, AI-Driven Diagnostic Assistant, and Telehealth Integration Hub.
Smart Health Monitor Patch is an electronic health monitoring tool that can also be beneficial with the tracking of chronic disease.
This paper explains how the AI-Driven Diagnostic Assistant is devised to detect diseases at the early stage and is based on enhanced intelligent algorithms (Al-Antari, 2023).
Teleheal is an integration hub that facilitates consultation and offering of healthcare services from a distance.
The potential is enormous since the medical devices through the IoT are expected to be worth $971.01 billion in 2034, as specified by Precedence Research (2025).
Financial Overview & Projections
Initial Estimated Cost: $3.25 million to cover development, infrastructure, and regulatory compliance.
Breakdown: R&D: $800,000, Manufacturing: $1.2 million, Cloud: $600,000, Marketing: $400,000, Compliance: $250,000.
Financial forecast of the business: Year 1: revenue $500,000, Year 2: $2,000,000, Year 3: $5,500,000 (breakeven).
A significant benefit will be observed in the integration of the IoT in healthcare, especially after COVID-19 (McDermott et al., 2022).
Leedon Capital has a clear financial strategy related to telehealth and wearable devices with a focus on sustainable development.
The venture’s commercial value hinges on effective market penetration and partnerships with healthcare providers.
Revenue vs Total Cost Over Years
Year Revenue R & D Cost Manufacturing Cost Cloud Infrastructure Cost Marketing & Promotion Regulatory Compliance Total Cost 1 500000 800000 1200000 600000 400000 250000 3250000 Year Reven
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