DESIGN AND IMPLEMENTATION OF PATIENT DIAGNOSIS SYSTEM
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DESIGN AND IMPLEMENTATION OF PATIENT DIAGNOSIS SYSTEM
Chapter One: Introduction
BACKGROUND FOR THE STUDY
Patient diagnosis refers to the process of seeking to determine or identify a suspected disease or disorder, as well as the opinion formed as a result of this effort.
A diagnosis in the sense of a diagnostic method can be thought of as an attempt to categorise an individual’s health condition into separate and distinct categories so that medical decisions about therapy can be made. As a result, a diagnostic opinion is frequently expressed in terms of a disease or other conditions.
In medical diagnostic system methods, the cause and origin of the disease or condition of interest are not fully necessary. Such clarification can help to optimise treatment and prevent the disease or condition from recurring again in the future.
Patient Diagnosis Systems (PDS) are interactive computer programmes that help healthcare practitioners handle records, manage information, and make decisions.
The clinician interacts with the software, combining both the clinician’s knowledge and the programme to provide a more thorough examination of the patient’s data than either people or software could do on their own.
Typically, the system generates ideas for the physician to review, and he selects helpful information while removing incorrect ones.
Computer Aided Diagnostic systems were first established in the 1950s, using production rules and decision frames (Engelmore & Morgan, 1988). More complicated systems were eventually created, such as blackboard systems (Engelmore & Morgan, 1988) for decision extraction and artificial neural networks. Recently, a number of CAD systems have been deployed to solve a variety of diagnostic issues.
1.2 Statement of the Problem
Every healthcare organisation faces a variety of challenges. An organisation faces documentation issues such as misplacement of critical information or cases as a result of the services that are available or rendered when needed
duplication of effort due to inconsistency in activities, and a significant amount of time is spent searching for files or reported cases when they are required for processing.
Since it is this problem that is uncovered that promotes the design and deployment of a computerised patient diagnosis model to enable the organisation to work more efficiently.
1.3 Significance of the Study
Its relevance stems from its ability to enable correct handling of files and data in the hospital, allowing clinicians to make proper reports on births, deaths, and patient diagnoses.
This improves patient care by increasing collaboration between professionals and patients by preventing information loss and reducing the amount of paperwork.
1.4 Aim and Objectives of the Study
The goal of this project is to create a patient diagnostic application capable of overcoming the previously mentioned challenges for His Glory Hospitals.
The system’s objectives are:
To provide sophisticated interactive software that will help clinicians manage their records.
To design a system for detecting problems that pose obstacles in order to modify operations and develop a new computerised system that is more efficient and accurate, such as in the case of misplacement of vital documents, a computer will be used to record, store, and retrieve large volumes of documents.
To allow easy retrieval and access to birth, death, and patient diagnostic information.
To eliminate the duplication of efforts due to inconsistency in activities and time spent searching for files when they are required for processing.
To set up an efficient database system.
1.5 Methodology
The research will make use of Microsoft Visual C# as programming tools and Microsoft SQL as the database.
1.6 Scope of the Study
This study focuses mainly on the computerised patient diagnostic paradigm. Although various activities are performed in a hospital, this work focuses on patient diagnostics.
1.7 Limitations of the Study
This research will focus on patient record, birth record, death record, and diagnosing patient modules, respectively.
1.8 Definition of Terms
In this section, the researcher will do his best to explain certain technical words used throughout his work.
A patient is a human or animal who is treated by a doctor or another medically trained individual.
Diagnosis is the determination of the nature and cause of an illness.
Symptoms: A perceived change in a person’s function, sensation, or appearance that is indicative of an illness or ailment, such as fever, headache, or rash.
Birth: The process of childbearing; the start of life.
Death is the cessation of life and its related processes; the end of an organism’s existence as an entity independent of its environment, followed by its return to an inert, nonliving condition.
Computerised means operating on or through the medium of computers; digital.
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