Search published articles


Showing 7 results for Shahmoradi
Advantages And Limitations Of Using Speech Recognition Systems In Health Care And Practical Means To Solve Their Application
Marjan Ghazi Saeedi , Reza Safdari, Abdoljalil Kalantar Hormozi , Leila Shahmoradi, Fatemeh Sadeghi,
Volume 8, Issue 1 (5-2014)
Abstract

 Background and Aim: The applicability of any technology to enter a certain field is determined by defining the advantages and disadvantages of the system in that field. The aim of this study is to show the advantages and limitations of using speech recognition systems in health care and providing practical solutions to improve the acceptability of the system in that field.

 Materials and Methods: This is a descriptive research with a review method that employs library resources and online databases such as Proquest, Pubmed, Science Direct, Ovid and Scientific Information databases using key words like speech recognition software, health care, benefits, barriers, and solutions.

 Results: Speech recognition system has many advantages like increased accuracy of medical documentation, and reduced documentation time. It is a tool for data entry into electronic health records. However, there are several limitations in applying the system in Iran, such as the lack of definition of database system and the high cost of hardware and software.

 Conclusion: Considering the study results in relation to the benefits and limitations of systems in healthcare area, solutions such as production of a national integrated database for the exchange of health information, improving database to increase the accuracy of word recognition, and training the users of the system can reduce the limitations of the system to some extent. Also, in the country’s movement towards the implementation of electronic health records and the users’ need to enter data into the computer, the software is a good alternative to keyboard and mouse input.

 


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.


The Study of Design Principles of Computerized Physician Order Entry System
Marjan Ghazi Saeedi , Leila Shahmoradi, Safieh Ilati Khangholi, Mahdi Habibi-Koolaee ,
Volume 10, Issue 3 (7-2016)
Abstract

Background and Aim: Computerized physician order entry system is the process of entering orders electronically. It is a replacement for manual system and is considered as a part of a clinical information system. The appropriate design of this system leads to the enhancement of its capabilities, ensures orders accurately and comprehensively, and transfers information to different parts rapidly. Therefore, transfer time and the error related to the wrong path or misinterpretations will be omitted; in the end, efficiency will increase. This study aims to present different perspectives on design principles of computerized physician order entry system for stakeholders.
Materials and Methods: In this review article, Google, Google Scholar, Pub Med, Web of Science and Scopus databases were searched with some keywords related to design principles of computerized physician order entry system.
Results: Based on the performed studies, factors such as inappropriate design of links, display page, set of orders content, drug database, structure of order environment, rules, formats, mechanism of getting reports of errors, and finally clinical decision support system have led to the decrease of doctors’ performance, increase of new errors, and reduction of patients’ safety.
Conclusion: Inappropriate design leads to the increase of new errors after the implementation of system; therefore, proper and principled design of this system can lead to the improvement of practitioners’ function, decrease of prescription errors and drug side effects, reduction of costs, efficiency increase, workflow 


Designing and Creating Personal Electronic Health Records for Thalassemia Major Patients
Khadije Moeil Tabaghdehi , Marjan Ghazisaeedi , Leila Shahmoradi , Hossein Karami,
Volume 11, Issue 5 (1-2018)
Abstract
Background and Aim: Thalassemia is a chronic disease which is extremely expensive, complex and debilitating. The management skill of thalassemia patients should be enhanced to minimize the risk of disease complications. The main purpose of this study was to develop personal electronic health records for thalassemia major patients.                                             
Materials and Methods: This is a developmental applied study which was conducted to develop a personal electronic health record for thalassemia major. First, a questionnaire was prepared to determine the data elements and was filled by Hematology and Oncology professionals in the country (110 persons). Then, based on the results of needs analysis, the system was designed using PHP programming language and MySQL database and was evaluated by 50 thalassemia patients who referred to the Thalassemia Clinic of Bu Ali Sina Hospital of Mazandaran University of Medical of Sciences during the second half of the month of Aban. Finally, a standard questionnaire of usability and user satisfaction assessment was distributed among them.   
Results: Usability evaluation of the system showed that patients evaluated the system at a good level with a mean rating of 7.91 (out of 9 points). 
Conclusion: The web-based systems can be used to help thalassemia patients to control injection and reduce the complications of the disease and to promote health. 

Decision Modeling for Diagnosis and Screening of Ovarian Epithelial Cancer
Reza Safdari, Leila Shahmoradi, Marjan Daneshvar, Elmira Pourtorkan, Mersa Gholamzadeh,
Volume 12, Issue 1 (5-2018)
Abstract
Background and Aim: The Ovarian epithelial cancer is one of the most deadly types of cancers in women.Thus, the purpose of this study was to investigate the most effective factors in predicting and detecting Ovarian cancer in the form of a decision tree to facilitate the Ovarian cancer diagnosis.
Materials and Methods: The present study was a descriptive-developmental study. The main research tool applied in this study was a checklist which was designed based on the medical records, published studies, scientific references, and expert consultation.To determine the content validity of the checklist, the CVR method was applied. Next, survey research was done with aid of Likert-based checklist based on expert opinions in gynecology. Finally, to develop the decision tree, the results of the expert survey were analyzed and the final model was implemented based on the survey results.
Results: The data elements of final decision tree were derived from the result of expert surveys, guidelines, clinical pathways and strategies in context of diagnosis and screening of Ovarian cancer. The leaf nodes in the tree include different types of tumor markers, following up, therapeutic measures, and referrals. The accuracy of the decision tree was approved by the experts. The most important tumor markers that obtained from the decision model in this study were CA19-9, ROMA (CA125 + HE4) and CEA.
Conclusion: Clinical decision models can provide specific diagnosis and therapeutic suggestions by creating patient information integration framework. The model developed in this study can improve the diagnosis of epithelial Ovarian cancer considerably by facilitating decision making.

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 (Dec & Jan 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.

Data Elements for Screening Major Depression in Ages 10 To 25 Using a Clinical Decision Support System
Leila Shahmoradi, Niloofar Kheradbin, Ahmad Reza Farzanehnejad, Niloofar Mohammadzadeh, Atefeh Ghanbari Jolfaei,
Volume 16, Issue 2 (Jun 2022)
Abstract
Background and Aim: Identifying risk factors is recommended as the first step for depression management in children and adolescents. This study aims to determine the data elements required for developing a clinical decision support system for screening major depression in young people.
Materials and Methods: This research was a descriptive-analytical study. The research population included a variety of mental health specialists that were both psychologists and students in psychiatry and guidance & counseling majors as well as electronic databases including Scopus, Pubmed, Embase, PsychInfo, WOS and Clinical key. The data collection tool was a questionnaire designed in three main sections which was answered by a convenient sample of 8 people who were specialists in the field. To analyze the extracted data Content Validity Ratio (CVR) and Mean measures were calculated for each item in questionnaire. Content Validity Index (CVI) and Cronbach’s Alpha (using SPSS software) were calculated which were equal to 0.74 and 0.824 respectively which confirmed validity and reliability of the research tool. 
Results:  According to Lawshe’s table, data elements with CVR between 0 and 0.75 and Mean less than 1.5, like “Ethnicity and race” (CVR=-0.25, Mean=1.125), were rejected. Items such as “Gender” (CVR=0.5) with a CVR equal to or less than 0.75, as well as items with a CVR between 0 and 0.75 and a Mean equal to or more than 1.5, like “Marital status” (CVR=0.5, Mean=1.625) were retained and considered to be included as the minimum data set for screening major depression in ages 10 to 25 years. Data elements were categorized in three categories: Demographic, Clinical and Psychosocial
Conclusion: Clinical decision support systems can facilitate providing healthcare at different levels such as screening major depression. These systems can be used for screening major depression risk factors to improve accessibility to mental health practitioners, assure the implementation of guidelines and provide a common language between different levels of healthcare. Determining the minimum data set for screening major depression in ages 10 to 25 years, is the first step toward developing a clinical decision support system for screening individuals for major depression.

Page 1 from 1     

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

Designed & Developed by: Yektaweb