In medicine, reliable data are available only in a few areas and necessary information on
prognostic implications is generally missing. In spite of the fact that a great amount of money
has been invested to ease the process, an effective solution has yet to be found. Unfortunately,
existing data collection approaches in medicine seem inadequate to provide accurate and high
quality data, which is a prerequisite for building a robust and effective DDSS. In this thesis,
many different medical reporting methodologies and systems which have been used up to
now are evaluated / their strengths and deficiencies are revealed to shed light on how to set
up an ideal medical reporting type. This thesis presents a new medical reporting method,
namely &ldquo / Structured, Interactive, Standardized and Decision Supporting Method&rdquo / (SISDS) that
encompasses most of the favorable features of the existing medical reporting methods while
removing most of their deficiencies such as inefficiency and cognitive overload as well as
introducing and promising new advantages. The method enables professionals to produce
multilingual medical reports much more efficiently than the existing approaches in a novel
way by allowing free-text-like data entry in a structured form. The proposed method in this
study is proved to be more effective in many perspectives, such as facilitating the complete
and the accurate data collection process and providing opportunities to build DDSS without
tedious pre-processing and data preparation steps, mainly helping health care professionals practice better medicine.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/3/12611719/index.pdf |
| Date | 01 February 2010 |
| Creators | Kuru, Kaya |
| Contributors | Arda, Kemal |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | Ph.D. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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