CLIMCAL DECISION SI]PBORT SYATEM FOR HEMATOLOGICAL DISI'Of,DTN$

Evidence Based N{edicine has become a popular approach to medica! decision
making. It is a method of assisting clinical decision making by using the most
relevant research evidence to answer the clinical question. First formally described in
1992, the method offered the chance of improving the quality of clinical care by
encouraging rigorous appraisal of new evidence (Thomas KB, 1974).
Complete Blood Count is one of the most commonly ordered blood test that could be
done within minutes and is mostly used as a basis for future testing. (Siamak T.
Nabili) Therefore CBC is a great way to quickly diagnose a patient and later on, use
evidence via EBM to further diagnose the patient.
This project will answer the problem of general practitioners needing a system to
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as possible through CBC test result data. The system would then help general
practitioners overcome the problem with EBM by assisting them in browsing
through the vast amount of evidence effectively and feasibly in order to make a
quick decision.
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support system to run. Knowledge on CBC results and blood disorders are also
required to form an algorithm that takes in all factors into producing a list of
probable diseases. Ways of indexing and evaluating evidences are needed for
producing a system that assists in EBM. The keyword filtering concept is used to
allow general practitioner to browse through evidence quickly and capture tacit
knowledge on evidence browsing. Methodology used for the project is the spiral
development model where the project will be broken down into 3 parts and built step
by step.
A fully developed prototype proposed by this projeot would promise a quick and
easy way to diagnose patients with probable hematological disorders based on CBC
test results and allow general practitioners to efficiently and feasibly browse through
evidence to make a decision.