Abstract:
Precision and timeliness of the information collected relating to patients still remain
as open challenges in current health systems, especially for cases relating to
monitoring of patients with chronic diseases and severe health conditions. As a
consequence, there is a need for improving quality of the gathered information
which in-tum can largely improve the decisions made by medical professionals.
Continuous observation of patients can allude towards predicting their future
conditions (physiological and physical), help to reduce the health care cost while
simultaneously improving patient care outcomes. This can be customarily
performed through the usage of one or more sensors attached to the patient’s body.
Indeed, critical decisions made by the medical staff can largely depend on the
gathered information originating from such sensors. For that, this work proposes
the design of an automated Remote Health Monitoring System (RHMS) aimed
towards indoor patients, such as for those present inside the hospitals. The proposed
system has the potential to provide medical personals with the ability to
continuously monitor the patients through a centralized observation system without
being physically present at their bedsides. In this project we have investigate the
issues of information quality, in-terms of precision and timeliness, hence providing
essential research pieces and motivation particles about this subject.
