Expectation based evaluation framework for hospital information systems measurement model )

Download

index.pdf

Date

2012

Author

Gürsel, Güney

Metadata

Show full item record

Item Usage Stats

157
views

26
downloads

Evaluation is essential for Medical Informatics as well as many other disciplines. There is a growing interest and investment for evaluation researches and self evaluation works. Hospital Information System (HIS) evaluation frameworks have largely been discussed in the literature. However, existing frameworks lack one important aspect, to what extent user expectations from HIS are met. To complement this deficiency we designed an evaluation farmework for evaluating the user expectation in HIS. User expectation data are collected by means of “Expectation Questionnaire”. Fuzzy logic methodologies are used to evaluate the expectation meeting in the proposed evaluation framework. The evaluation variables are not represented in the result equally; they are reflected by the weights assigned by the users. Our proposed framework provides the overall degree to what extent user expectations are met. It also gives the opportunity to analyze to what extent each expectation is met and degree to what extent different user groups’ expectations are met. Education, sex and business title is determinants of general expectations about HIS. IS experience is not a determinant of medical users’ expectations in any expectations. The proposed framework is not a rival but an alternative or complementary to the existing frameworks. It is a different approach and has different computation methodology supported by fuzzy logic. The framework can give detail to the each variable level. These results are just a photo of the current situation; a deeper analysis of these findings must be done for further information about the causes of these results.

Subject Keywords

Information storage and retrieval systems, Medical informatics.

URI

http://etd.lib.metu.edu.tr/upload/12614151/index.pdf
https://hdl.handle.net/11511/21487

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

An Extensible security infrastructure for the secondary use of electronic health records in clinical research Eryılmaz, Elif; Toroslu, İsmail Hakkı; Doğaç, Asuman; Department of Computer Engineering (2013) In order to facilitate clinical research studies re-using Electronic Health Records (EHR) has a great potential. Besides interoperability, safeguarding the security and privacy of the medical data in the context of secondary use for clinical research is one of the most important challenges in this respect. In order to ensure that the clinical information is shared among EHR systems and clinical research systems in an ethical and safe way, there needs to be standards-based and adaptable security and privacy ...
A new framework for evaluation of field based academic performances of higher education institutions Ömrüuzun, Fatih; Baykal, Nazife; Akkaya, Ayşen; Department of Information Systems (2011) Measurement and evaluation of academic performance is an highly debated research area and results of the studies in this area are closely followed by a large segment of the society. In general, researches conducted in this domain evaluate higher education institutions as a whole, but such an approach actually represents an average performance of the research fields, which are actively studied by the members of institutions. This may be misleading, because academic performance varies for each university depe...
Segmentation of human facial muscles on ct and mri data using level set and bayesian methods Kale, Hikmet Emre; Mumcuoğlu, Ünal Erkan; Department of Medical Informatics (2011) Medical image segmentation is a challenging problem, and is studied widely. In this thesis, the main goal is to develop automatic segmentation techniques of human mimic muscles and to compare them with ground truth data in order to determine the method that provides best segmentation results. The segmentation methods are based on Bayesian with Markov Random Field (MRF) and Level Set (Active Contour) models. Proposed segmentation methods are multi step processes including preprocess, main muscle segmentation...
Recognizing Obesity and Comorbidities in Sparse Data Uzuner, Oezlem (Oxford University Press (OUP), 2009-07-01) In order to survey, facilitate, and evaluate studies of medical language processing on clinical narratives, i2b2 (Informatics for Integrating Biology to the Bedside) organized its second challenge and workshop. This challenge focused on automatically extracting information on obesity and fifteen of its most common comorbidities from patient discharge summaries. For each patient, obesity and any of the comorbidities could be Present, Absent, or Questionable (i.e., possible) in the patient, or Unmentioned in ...
A new approach in the evaluation of hospital information systems Gursel, Guney; ZAYİM, NEŞE; GÜLKESEN, KEMAL HAKAN; Arifoğlu, Ali; Saka, Osman (2014-01-01) Hospital information system (HIS) evaluation frameworks have largely been discussed in the literature. However, existing frameworks lack one important aspect: to what extent user expectations of HISs are met. In this study, user expectation data are collected by means of the 'expectation questionnaire'. The internal consistencies of the answers to the questionnaire are measured by Cronbach's alpha coefficient. Fuzzy logic methodologies are used to evaluate the expectation variables in the proposed evaluatio...

Citation Formats

G. Gürsel, “Expectation based evaluation framework for hospital information systems measurement model ),” Ph.D. - Doctoral Program, Middle East Technical University, 2012.