Inspiration (Research)
Our inspiration stems from the pressing need to educate patients and medical students on the early signs and management of heart diseases, particularly Congestive Heart Failure (CHF). Research has shown that early detection and patient awareness can significantly impact the prognosis of heart-related conditions. A study published in the Journal of the American Heart Association found that only 37% of heart failure patients were aware of their diagnosis, emphasizing the importance of increased patient education to improve self-care and health outcomes.
By integrating both educational and technological elements, we aim to bridge the gap between complex medical knowledge and patient understanding. This project draws from medical research on CHF progression and management, as well as advancements in personalized healthcare technologies, to create an accessible tool for patients and healthcare providers.
Reference:
- SJ, Fabbri M, Manemann SM, Roger VL, Killian JM, Weston SA, Chamberlain AM. Patient Awareness of Heart Failure Diagnosis: A Community Study. J Am Heart Assoc. 2023;12. https://doi.org/10.1161/JAHA.122.029284
Functionality
The core functionality of our heart model is to provide a comprehensive visual and interactive experience for users. It offers:
Visual Heart Comparison: Our model displays both a healthy heart and a heart affected by CHF. This side-by-side comparison helps users visually understand the physical differences between a healthy heart and one compromised by CHF. It is particularly helpful for medical students and patients, making complex medical conditions more tangible.
Real-Time Heart Rate Monitoring: The heart rate sensor built into the model captures the patient’s current heart rate. This heart rate is then displayed through LEDs within the physical heart model, mimicking the natural beats of the heart. This real-time feedback allows users to monitor their heart performance dynamically.
Data Transmission and Visualization: The heart rate data collected by the sensor is transmitted to a website. The website not only displays the approximate heart rate of the patient in real-time but also provides detailed educational content. Users can view information about heart health, including statistics on average heart rates and blood pressure, early signs of CHF, and recommended actions to mitigate its effects.
Early Detection and Alerts: By integrating this functionality with patient health monitoring, our model has the potential to detect irregularities in heart rate that could indicate early signs of CHF or other heart conditions. This could prompt further medical investigation and intervention.
Impact of Our Design
The impact of this design is twofold: education and early intervention.
Educational Impact: For patients, understanding how their heart functions compared to a healthy heart empowers them to take proactive steps in managing their health. Medical students gain a hands-on learning experience, seeing not only static textbook images but also dynamic, interactive models. This real-time feedback and comparative analysis foster deeper learning and retention of medical knowledge.
Healthcare and Patient Impact: By giving users personalized healthcare data through an intuitive and interactive model, we contribute to a larger goal of patient-centered care. Early detection of heart-related issues such as CHF can significantly improve patient outcomes by allowing for timely interventions. Furthermore, the model’s ability to display and track heart rate data creates a foundation for monitoring and potentially alerting healthcare providers of any heart abnormalities, which can enhance patient care.
Our design emphasizes simplicity, accessibility, and educational value, all while leveraging real-time data to provide crucial insights into a patient’s cardiovascular health.
Log in or sign up for Devpost to join the conversation.