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Showing 2 results for Minimum Data Set (mds)

Reza Safdari, Leila Shahmoradi, Maryam Ebrahimi ,
Volume 9, Issue 3 (9-2015)
Abstract

Background and Aim: Pathology Information Systems provide opportunities for pathologists and clinical laboratory professionals to influence clinical care and modern research programs. The objective of this study was to determine the minimum data set of Anatomical Pathology Information System from the experts’ point of view.

Materials and Methods: This study is considered an applied research conducted through a descriptive cross-sectional research method. The research instrument was a questionnaire containing data elements related to sample and those related to the patient. This questionnaire was completed by three groups of participants including 22 experts in the field of Pathology and Laboratory Medicine, 23 experts in Health Informatics and Health Information Management, and 6 Insurance experts. The collected data were analyzed using descriptive statistics and SPSS software.

Results: The results indicated that all information elements contained in the questionnaire except the address of the pathologist, resident or the person who performs the act of gross examination were considered as informational elements essential to the system and the high average of five was allocated to them.

Conclusion: Based on the results of this study, the Minimum Data Set of Anatomical Pathology Information System can be presented in two main categories: Clinical and non-clinical information, which include identity information, management information, insurance information, clinical information and the data related to the study of  anatomiaca pathology samples.


Minoo Shahbazi, Reza Safdari, Mohammad Zarei,
Volume 12, Issue 2 (7-2018)
Abstract

Background and Aim: The quality of Electronic Health Records (EHRs) depends on the quality of its content and proper documentation. Determining the Minimum Data Set (MDS) to enhance the quality of electronic health records’ content and helping to improve the quality of health care provision to uveitis patients are essential matters. The aim of this study is to determine the essential MDS for uveitis patients’ electronic health records.
Materials and Methods: In this descriptive-analytical study, data collection tools for collecting the Minimum Data Set were library resources and internet-based database. The MDS was obtained through Likert scale questionnaire and was surveyed by 22 ophthalmologists and retina subspecialists.
Results: Among the elements of the survey, all cases with over 90% approval were considered as main elements. Regarding the importance of presented data elements, no significant difference was found between the responses of ophthalmologists who participated in this study. 
Conclusion: The Minimum Data Set of uveitis patients’ electronic health records can be represented by five groups of demographic information: patients’ clinical records, laboratory information, type of uveitis, treatment guidelines, and the information of ophthalmic pictures. A suggested model for manual systems and electronic medical records is available. 


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