Application tool for assisting diagnosis and forecast progression of abnormality and medical condition of patients
* Автор, отвечающий за переписку
The precocious knowledge on reckoning schemes scientifically and technically was replaced with the rapid amelioration in medicinal contrivance systems and treatment information registers. On average the management accomplishes hospital information system (HIS) and picture archiving and communication systems (PACS) using digital entities to maintain medical examinations, images and statements. Such systems even though are much helpful for the hospital staff, doctor away from the hospital have lot of difficulty to access the patient data during risk facing situations. To iron out the above-mentioned complications, a new idea of the proposed framework has been disseminated for medical descriptions to the doctors at inaccessible areas. This organization requires a hand-hand PDA’s that adopts CDMA techniques with mobile networks. This arrangement requires a server and PDA for its implementation. This model supports the entire reports of the patient to the doctors located even at remote location with accessibility and doctor information reliable for patients. PDA created will disclose the inmate’s medicinal reports and scans over an outlying network. To corroborate or validate user data, remote data approach is applied by PDA that connects the server directory and for relegation of information from the server, uses file transfer protocol. From testing, observations show ninety seconds to convey thirty images with a fineness of 832 x 488, intensity of 24 bits and magnitude of 0.37 Mb. This idea proposed using bitmap image acquiring technique demonstrates no difficulty for distant doctors to collect and examine the sufferer images right away at the time of crisis or urgencies, which is completely subjective analysis based on doctor’s point of view.
V. Vijaya Kishore, V. Kalpana. Application tool for assisting diagnosis and forecast progression of abnormality and medical condition of patients. Cardiometry; Issue 22; May 2022; p.520-526; DOI: 10.18137/cardiometry.2022.22.520526; Available from: https://www.cardiometry.net/issues/no22-may-2022/application_tool_assisting