Search published articles


Showing 7 results for Minimum Data Set
A Minimum Data Set Of Radiology Reporting System For Exchanging With Electronic Health Record System In Iran
Maryam Ahmadi, Azadeh Bashiri,
Volume 8, Issue 2 (7-2014)
Abstract

 Background and Aim: In order to better design an electronic health record system in the country, determining standardized data elements for creating an integrated information system is important. In this study, the minimum data set of radiology reporting system is determined.

 Materials and Methods: In this descriptive cross-sectional study, 13 radiologists, 3 anesthesiologists, 3 general practitioners and 3 insurance experts working in the Imaging Center of Imam Khomeini hospital in Tehran were chosen. The research tool was a questionnaire having 11 parts. Content validity and test-retest method were used to measure the validity and reliability of the questionnaire, respectively. Data analysis was performed using the SPSS software.

 Results: The highest means reported were radiologists' written explanations and suggestions (9.6), image interpretation (9.5), the name of contrast material (9.4), the name of imaging procedure (9.3) type and date of previous measures (9.1), and the final diagnosis (9) and the lowest averages belonged to referring physician's address (4.8), relationship between patients and the primary individual insured (4.3), and religion (2.2).

 Conclusion: In an electronic health record system, due to the importance of radiology reports for the diagnosis and future management of a patient's clinical problems, it is necessary to pay attention to the minimum set of data related to these reports such as administrative, insurance, patient identity, and clinical data, and the results of radiological examinations for exchanging with electronic health record system.

 


Minimum Data Set Of Anatomical Pathology Information System From The Perspective Of Experts
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.


Determining the Required Minimum Data Set and Data Elements to Create a Web-based Electronic Record for Glaucoma Patients
Marjan Ghazi Saeidi , Sasan Moghimi Araghi , Shadi Babadi ,
Volume 11, Issue 6 (3-2018)
Abstract
Background and Aim: Glaucoma, with an increasing pressure inside the eye, is one of the causes of blindness worldwide. The only glaucoma treatment is regular eye examination and control of intraocular pressure (IOP). The centralized information obtained from these examinations is an essential prerequisite for providing optimal healthcare which is possible by creating electronic records. Minimum Data Set (MDS) is a standard tool for getting access to accurate data, which is among the basic needs for the design of electronic records.
Materials and Methods: This is descriptive-analytical study. The population of this study consisted of glaucoma patients’ medical records at Farabi Eye Hospital, reference books, and glaucoma specialists. The data collection tool was a questionnaire -- containing patients' records, and demographic and clinical data -- which was distributed between 22 available glaucoma specialists. The validity of the questionnaire was assessed by an expert team and its reliability was determined by test-retest method. Data analysis was performed by calculating the frequency percentage and Delphi test.
Results: After reviewing the rate of experts’ agreement with the components of the survey, all of the cases with over 75% approval rate were considered as minimum data set for glaucoma. Minimum data set was divided into three general categories: patient's records, demographic data, and clinical data.
Conclusion: Determination of minimum data set for glaucoma will be an effective step to integrate and improve the management of patients’ records. Moreover, it will be feasible to store and retrieve such records. 

Determining the Minimum Data Set for Uveitis Patients’ Electronic Health Records in Iran 
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. 

Designing and Development of Electronic Health Records for Patients with Hydatidiform Mole and Evaluation of Completeness of Medical Records
Reza Safdari, Somaye Mahdavi, Leila Shahmoradi, Khdijeh Adabi, Shahram Tahmasebian, Mahnaz Nazari,
Volume 12, Issue 5 (1-2019)
Abstract
Background and Aim: To provide effective care, health care providers need timely and appropriate information. Electronic records provide quick access and easy management of data. The aim of this study was to develop electronic health records for patients with hydatidiform mole and evaluation of completeness of medical records
Materials and Methods: This applied study was conducted in 2017. After verifying the minimum data set required for the system, data were extracted from patient records using a checklist and entered into SQL server. SQL server 2012 and Visual Studio 2013 to design electronic records and SPSS 20 for data analysis was used. Extent of data completion in patient records was also assesed.
Results: Data on the completion of paper records indicated that in 100% of cases, “address” item was filled in. The less completed data was related to carotene deficiency (%1.1). Our findings also showed that the eight most important items like age of first menstruation, first gestational age, interval between pregnancies, number of sexual partners, menstruation between pregnancies, contraceptive methods, social habits and radiotherapy, were not completed in all records.
Conclusion: Many of the important minimum data set for hydatidiform mole disease were either not completed or completed in limited numbers in paper records. By developing such health records, we can ensure better prevention and treatment, and regular follow-up for the patients and help them to save their time and costs.

Determining the Minimum Data Set of Diabetic Foot Ulcer Patients' Electronic Medical Records
Marjan Ghazi Saeedi, Gholam Reza Esmaeili Javid, Niloufar Mohammadzadeh, Hamide Asadallah Khan Vali,
Volume 14, Issue 5 (1-2021)
Abstract
Background and Aim: Diabetes is one of the most common metabolic diseases in the world, of which one of the most common and painful complications is diabetic foot ulcer. The accuracy and comprehensiveness of the contents of electronic medical record is effective in improving the quality of treatment and the care of diabetic foot ulcer patients. The aim of this study is to determine the minimum data set (MDS) essential for diabetic foot patients' electronic medical records.
Materials and Methods: In this descriptive-analytical study, authoritative internet and library resources were studied to collect diabetic foot ulcer information elements. Fourteen physicians and nurses working and collaborating with the Wound Healing Center affiliated to Academic Center for Education, Culture and Research (ACECR) were selected for clinical survey, and 5 health information technology specialists of Tehran University of Medical Sciences (TUMS) were chosen for demographic information survey. The study tools were a researcher-made questionnaire, CVR content validity method and test-retest method for reliability. 
Results: Out of 23 information elements surveyed in demographic section, cases above 99% of the agreement were selected. Also, out of 86 information elements of the clinical section, more than 51% of the cases were selected. Clinical experts included 6 wound specialists, 4 general practitioners and 6 nurses. In the demographic information section, the lowest agreement was related to the element of identity and Education level with 20% agreement. In clinical information, the lowest agreement was related to surgery, leech therapy and MRI of the foot with 0% and PRP, G-CSF, Sono-Doppler liver with 14%.
Conclusion: The minimum information elements of diabetic foot ulcer electronic medical record were divided into history, wound information, lower limb information, paraclinical results, wound management, and follow-up in clinical section; and in demographic information section,  they were divided into identity, admission, finance, reporting, and system capability. The proposed model for manual and electronic medical records is available. 


Minimum Data Set Knee Ligament Rupture Reconstruction Surgery Registry System in Athletes
Abbas Sheikhtaheri, Elaheh Jamshidi, Ali Mohammadi, Vahid Feyzollahi,
Volume 19, Issue 5 (12-2025)
Abstract
Background and Aim: Knee ligament rupture is a common knee injury, especially among athletes. Considering the importance of treatment quality in the affected population, there is a crucial need for the collection of high-quality, standardized national-level data. This can be achieved by establishing a Minimum Data Set (MDS). The present study aimed to design a Minimum Data Set for the Knee Ligament Rupture Reconstruction Registry System in Athletes.
Materials and Methods: This applied research was conducted in 2024 using a quantitative method (descriptive-comparative and Delphi technique) across three phases. In the first phase, using a descriptive-comparative approach, the required data elements from the national registry systems of selected countries (Norway, Sweden, Denmark, UK) were extracted and analyzed in comparative tables. In the second phase, the data elements currently recorded for patients undergoing knee ligament rupture reconstruction surgery in Iran were identified using a descriptive data collection form. In the third phase, based on the findings from the first two phases, a preliminary MDS was designed as a questionnaire. Its validity was then assessed over two rounds using the Delphi method by a panel of experts (24 in the first round, 18 in the second). Finally, items that achieved a consensus of 75% or higher were included in the final MDS.
Results: In the review conducted on the registry systems of selected countries, including Norway, Sweden, Denmark, and England, the data elements recorded in these systems were first extracted. Subsequently, in the first phase of the study, the extracted data elements were categorized into two main categories: Administrative and clinical. The findings of this phase were obtained through their comparison in comparative tables. The findings of the second phase of the study consisted of data elements extracted from the medical records of patients who had undergone knee ligament rupture reconstruction surgery in Iran. In the third phase of the study, the final minimum data set for patients undergoing knee ligament rupture reconstruction surgery was developed based on the findings of the first and second phases of the study as well as expert opinions. This data set comprised 78 data elements organized into two sections: administrative (9 data elements) and clinical (69 data elements). In the administrative section, data classes were categorized into demographic, socioeconomic, and visit-related groups. In the clinical section, data classes were categorized into diagnostic, anthropometric, surgical, follow-up, and outcome groups.
Conclusion: The Minimum Data Set for knee ligament rupture reconstruction surgery can play a significant role in collecting high-quality data, evaluating and managing treatment quality and outcomes, and informing planning and policymaking in this field by ensuring the collection of integrated and high-quality data.

Page 1 from 1     

© 2026 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by: Yektaweb