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Showing 2 results for Health Information Technology

Reza Safdari, Mahtab Karami, Mahboobeh Mirzaee, Azin Rahimi ,
Volume 7, Issue 1 (5-2013)
Abstract

Background and Aim: Decision support systems(DSSs) refer to one of the types of information technology applications that can help clinicians to make right and timely decisions about patients. The aim of this study is to learn more about DSSs and their applications and effects on health care.

Materials and Methods: In this systematic review, articles which were published between 2000 and 2012, which were available as full texts through databases and search engines -- such as PubMED, EBSCO host research, Google scholar and Yahoo -- and which were also of clinical-trial type were examined besides, certain books in this area were used as primary sources.

Conclusion : The findings show that DSSs were applied in five areas in health care, which had a significant effect on improving the process of care and the performance of providers. These areas are as follows: disease progress management(15.15%), care and treatment(27.27%), medication(27.27%), evaluation(27.27%), and preventation(12.12%). In general, improvement can be seen in three areas: quality of care and patient safety, cost effectiveness, and provider’s level of knowledge.


Taleb Khodaveisi, Hamid Bouraghi, Tooba Mehrabi, Javad Faradmal, Mahdiye Shojaei Baghini, Ali Mohammadpour,
Volume 18, Issue 5 (11-2024)
Abstract

Background and Aim: Identifying the educational needs of health information technology staff is essential before implementing any continuous education programs. This comprehensive study investigates these needs among health information technology personnel working in hospitals in the Hamadan province, considering both the general and specialized aspects of the field.
Materials and Methods: This descriptive cross-sectional study was conducted across 11 hospitals affiliated with Hamadan University of Medical Sciences. The study population comprised staff from the reception, medical records, statistics, and coding departments. Data were gathered using a validated and reliable standardized questionnaire. Collection methods included both in-person and remote approaches. Data analysis was performed using SPSS software, with results reported through descriptive and inferential statistics, specifically utilizing the Kruskal-Wallis test.
Results: The results of this study showed that among the generally accepted needs, items such as information technology (96.7%), legal aspects of medical records (87.6%), and communication skills (76.7%) had the highest percentage. Additionally, educational needs varied across different units: Coding unit staff required more training in the principles of diagnosis documentation (92.9%), familiarity with the coding guidelines for causes of death (85.7%), and familiarity with the coding guidelines for procedures (85.7%), statistics unit staff needed training in statistical software, and reception and medical records staff required education on relevant regulations. There was also a significant correlation between educational needs and certain individual characteristics such as work experience, education level, gender, and field of study.
Conclusion: The study results indicate that designing effective educational programs for health information technology staff requires consideration of individual characteristics, such as gender, work experience, and education level. Additionally, the training should be continuous, tailored to the distinct needs of each group, and delivered at appropriate intervals.


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