# Smart Healthcare: Exploring the Internet of Medical Things with Ambient Intelligence
## 6 Applications of AMI in Heathcare  
AMI is revolutionizing healthcare by creating intelligent environments for the IoMT that can adapt to the needs of patients and healthcare providers. The integration of advanced sensors, actuators, and AI together with AMI technology enables remote patient monitoring, telemedicine, virtual consultations, clinical decision-making, assisted living for the elderly, and many more opportunities. The IoMT has led to the generation of electronic health records, allowing seamless sharing of patient data among healthcare providers and enabling collaborative care and proactive patient monitoring. Moreover, it is helping to reduce medical errors, lower healthcare costs, and improve patient outcomes. This section outlines various applications of the IoMT that contribute to the creation of ambient ecosystems, including remote monitoring, telehealth, smart hospitals, fall detection, clinical decision-making support, and assisted living for the elderly (described in Figure 6). These applications leverage AMI technology to enhance patient care, streamline clinical workflows, and optimize healthcare delivery. The different applications include:  
1. **Remote Monitoring:** AMI with IoMT enables continuous remote monitoring of a patient's vital signs, medication adherence, and overall health status, allowing healthcare providers to intervene promptly in the case of emergencies or changes in the patient's condition. 2. **Telehealth:** The smart IoMT facilitates virtual consultations, remote diagnostics, and telemonitoring, enabling healthcare professionals to deliver medical services and consultations to patients in remote areas. 3. **Smart Hospitals:** AMI technology can create intelligent hospital environments that optimize resource utilization, automate routine tasks, and enhance patient comfort by adjusting environmental conditions such as lighting, temperature, and air quality. Additionally, smart environments enable the monitoring of patient movement and interactions to identify and mitigate infection risks, helping to prevent hospital-acquired infections and improve patient safety. 4. **Fall Detection:** AMI sensors and actuators can detect falls and other emergencies in real time, automatically alerting caregivers or emergency services and providing assistance to the affected individuals. This may significantly reduce the mortality rate by minimizing long-term injuries, especially for people living alone. 5. **Clinical Decision Making:** Together with AI, advanced IoMT devices can deliver automated imaging/health record analysis, which may help to alleviate the burden on doctors and expedite treatment strategies. AMI systems can analyze patient data from various sources, including electronic health records, medical devices, and wearable sensors, in order to provide clinicians with timely insights and recommendations for diagnosis, treatment planning, and care management. 6. **Assisted Living:** AMI technology supports independent living for elderly and disabled individuals by monitoring their activities, detecting emergencies, and providing assistance while respecting their privacy and autonomy. Figure 6: A pictorial representation of the applications of AMI in heatchcare. Examples from the contemporary literature on AI in healthcare are described in Table 14.