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IOT based Smart-Portable Intensive Care Unit for Patient in Medical Emergency/Critical Conditions
NeuroQuantology ; 20(8):4904-4912, 2022.
Article in English | EMBASE | ID: covidwho-1998067
ABSTRACT
In COVID-19 pandemic situations or in critical/emergency conditions patients experience a great problem because of the non-availability of doctors. A person in a medical emergency needs an immediate doctor to monitor and diagnose his/her medical problem and prescribe the medicine. In these types of critical conditions, there is a demand for some smart portable intensive care unit that can transmit the patient's vital parameters and provide this information to the doctor so that the patient gets lifesaving drugs as per the doctor’s prescription. This work proposed a low-cost and Internet of Things (IoT) based smart-portable intensive care unit (S-PICU) that is capable of transmitting the vital parameters of a patient to doctors’ mobile applications when the patient is in a remote location or transit because of a medical emergency. Patients in intensive care units (ICUs) with severe or life-threatening illnesses and injuries demand round-the-clock treatment, so this portable unit fulfils the medical requirement during emergency conditions. The android based mobile application fetches the patient’s data in real-time from the IoT cloud database system. A doctor can receive the patient’s data in digital and analog form on mobile and can easily set the drug infusion flow from their location. The proposed device helps the patient in critical/emergency conditions save a life because it can easily communicate with doctors through a smart mobile application and get prescribed drugs remotely. This device reduces doctors’ movement and better utilization of medical diagnoses. The automation feature of this device improves patient safety and features of this device improve the safety of patients and also the quality of medical treatment.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: NeuroQuantology Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: NeuroQuantology Year: 2022 Document Type: Article