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Ihome Health Iot System Analysis

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Ihome Health Iot System Analysis
In healthcare, this means being able to collect patient data over time that can be used to help enable preventive care, allow prompt diagnosis of acute complications and promote understanding of how a therapy (usually pharmacological) is helping improve a patient’s parameters.

• The ability of devices to gather data on their own removes the limitations of human-entered data—automatically obtaining the data doctors need, at the time and in the way they need it.

The automation reduces the risk of error. Fewer errors can mean increased efficiency, lower costs and improvements in quality in just about any industry. But it’s of particular interest/ need in healthcare, where human error can literally be the difference between life and death.
…show more content…
A desirable system should be capable of taking care of the patients from all aspects, covering personalized medication, vital signs monitoring, on-site diagnosis, and interaction with remote physicians. In addition, the existing systems seldom integrate new materials or apply new manufacturing approaches, which are always the key elements for bringing new devices or solutions into healthcare fields. By considering the aforementioned issues, an intelligent home-based healthcare IoT system, iHome Health-IoT, is proposed here with the concept of the iHome Health-IoT System. An intelligent medicine box (iMedBox) serves as a home healthcare gateway. IoT devices [e.g., wearable sensors and intelligent medicine packaging (iMedPack)] are seamlessly connected to the iMedBox via a heterogeneous network, which is compatible with multiple existing wireless standards. The body-worn Bio-patch can detect and transmit the user’s bio-signals to the iMedBox in real time. The iMedPack is connected with the iMedBox via an RFID link to assist the users with their prescribed medication. All the collected information is interpreted, stored, and displayed locally on the iMedBox. The processed information can also be forwarded to the Health-IoT network for a clinical diagnosis or further analysis. One major contribution of the proposed iHome Health-IoT system is that it dramatically expands the scope and coverage of traditional healthcare information systems (HIS), extending from a confined hospital environment to a patient’s home and body. By doing so, the overall healthcare system could be optimized at the top level, turning from the conventional Enterprise resource Planning into the Entire Resource Planning

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