# Secure Monitoring System for IoT Healthcare Data in the Cloud
## 3 Limitations and Barriers of Conventional Medical Methods
#### Limitations Could Be Addressed by IoT  
Conventional medical methods have been effective in treating various health conditions, but they do have some limitations and barriers that can be addressed by integratingthe Internet of Things (IoT) and related technologies [9; 10; 11]. Some of these limitations and how the IoT can help overcome them are [12; 13]:  
_Limited monitoring:_ Conventional medical methods often involve periodic visits to healthcare facilities, which can lead to limited monitoring of patients' health conditions. IoT-enabled devices, such as wearable health trackers and remote patient monitoring systems, offer continuous and real-time health data collection, providing healthcare professionals with a more comprehensive view of patients' health statuses.  
_Inefficient data collection:_ The manual recording of patient information used in traditional data-gathering techniques in the healthcare industry can be time-consuming and prone to inaccuracy. By automating data gathering procedures, IoT technologies lower the possibility of human error and facilitate quicker access to vital health data.  
_Lack of personalization:_ Conventional medical practices frequently rely on generic methods that may not adequately address the needs of each patient. By evaluating a patient's real-time data, the IoT can enable personalized medicine by allowing healthcare professionals to customize interventions and treatments depending on particular health problems and response patterns.  
_Limited access to healthcare in remote areas:_ There are many localities with poor access to healthcare facilities, particularly in rural or outlying areas. By enabling virtual consultations, remote diagnostics, and ongoing monitoring, IoT-enabled telemedicine and remote healthcare systems help close this gap, enhancing healthcare access and results in underserved areas.  
_Delayed diagnosis and intervention:_ Particularly in the case of chronic illnesses, traditional healthcare approaches may result in delayed diagnosis and action. IoT-based remote monitoring enables early abnormality detection, prompt response, and the avoidance of potential health emergencies.  
_Fragmented healthcare systems:_ Traditional medical practices frequently use disjointed data storage and communication platforms, which makes it difficult to access thorough patient records. Using IoT technologies, a more interconnected and unified healthcare system may be created by combining data from many sources and devices.  
_Patient compliance and adherence:_ It might be difficult to monitor and enforce patient adherence to recommended therapies and pharmaceutical regimens. IoT gadgets can deliver alerts, monitor medicine intake, and give behavioral cues, encouraging patients to follow their treatment regimens.  
_Limited data for research and analysis:_ For medical research and analysis, traditional medical practices might only supply partial data. Big data analytics, medical research, and the creation of prognostic models for illness prevention and treatment are all greatly facilitated by IoT-generated data.  
_Data security and privacy concerns:_ IoT use in healthcare sparks worries about patient privacy and data security. Strong data encryption, secure communication methods, and adherence to pertinent data protection laws like HIPAA and GDPR are all necessary for addressing these issues.  
Healthcare may overcome these restrictions and obstacles by utilizing the IoT and related technologies, which will result in better patient outcomes, improved disease management, and more effective healthcare delivery. When implementing IoT solutions in the healthcare industry, it is crucial to solve issues with data protection, interoperability, and scalability.