Using IoT can improve and modify the delivered healthcare services in the following aspects:

Relying on sensing-based screening and assessment technologies in home and community environments can reduce the physical pressure on the environment of hospitals and turn this information into an electronic flow of information.

Changing the medication process from a reactive model to a proactive and preventative model can significantly minimize the hospital admission expenses for acute events.

Improving the personalization of healthcare processes allows individuals to monitor and identify their risk factors, seek preventative intervention and treatment, and live independently. In this way, personalizing healthcare processes has a significant positive impact on the psychological and physiological states of patients.

Improving the management of clinical workloads can allow healthcare systems to effectively prioritize those patients who have the highest need for medical services.

Supporting self-care diagnostic processes for monitoring vital signs and other various measurements can produce data that are shared with physicians either personally or by phone for them to make effective diagnoses. These diagnoses can sometimes be automated for simple illnesses, such as flu.

Point-of-care tests can be optimized by reducing the time of diagnosis, which in turn can be achieved by reducing the requirements for sending samples to be tested. For example, automatic testing by using blood pressure cuffs and digital thermometers can help physicians review the history of their patients while performing the necessary measurements. Among its practical advantages, IoT can encourage the development of smart systems that support and improve biomedical and healthcare processes. Monitoring the physiological parameters of patients in real time can also facilitate the early detection of clinical deterioration, automatic people identification and tracking by using biomedical devices in smart hospitals and monitoring drug-patient associations.

A patient with an emergency case is given a wearable device that detects the nearest ED that offers the required services. Upon being notified of an emergency case, the ED dispatches an ambulance to the location of the patient and delivers the necessary care services. Upon its arrival, the ambulance links the biobank of patient information to a secure cloud that stores the EHRs, laboratory test results and medical and prescription histories of the patient. This process can help health practitioners understand the status of their patients quickly, easily, and effectively.