, ,
Volume 14, Issue 2 (8-2015)
Abstract
Background: In the telemedicine process, using digital techniques in disease diagnosis caused to have felt needs of archiving and storing patient information and high bandwidth in data transfer.
Methods: This study aimed at introducing an efficient way of multi-stage compression of mammographic image data based LM algorithm and artificial neural networks. At First, data derived from mammographic images given to multi-layer neural network has achieved the possibility of forming with minimum damage and high degree of compaction in the first layer.
Results: The compression process of the mammography images was implemented using images of 128 women aged 46.41±6.55 yrs with BMI 36.78 ±5.5 from three specialized clinics in Sabzevar. The analysis yielded a mean square error (MSE) of 4.24 with the highest difference ratio of 33.46 and compression ratio of 8: 1in the output of the algorithm. The system performance based on the accurate design of the software was acceptable therefore; it demonstrated high efficiency in practice.
Conclusion: The diagnosis in the discovery stage is highly consistent with the diagnosis in real based on reliability of software output in the compression and release, and considering the fact of mammographic images are not completely degraded during compression; therefore, this system has the capacity to be implemented achieving mammography images in hospitals and justify its application.
Sedigheh Abedi, Reza Khajouei,
Volume 14, Issue 3 (9-2015)
Abstract
Background: Physiotherapy information system is one of health information systems which used to increase the efficiency and effectiveness of physiotherapy department. Studies have revealed due to usability problems, users' interaction with some information systems is complicated. This study aimed at evaluating users' interaction problems with physiotherapy information system.
Materials and Methods: This study was a cross-sectional and descriptive one which performed using heuristic evaluation method; the users' interaction problems of a physiotherapy system among 105 hospitals were identified, classified and rated based on their severities by three evaluators. Data were gathered using a data collection form designed in Excel software.
Results: In this study, 82 unique interactive problems identified which majority of them 28% (n=23) were related to unconformity of system design with real world conventions with major mean severity of the problems. The lowest numbers were related to the problems including lack of guidance, system documentation and error prevention with major and minor severity respectively.
Conclusion: A number of systems, which are used in many health care centers such as assessed system in this study suffer from several problems which endanger user interaction about the systems can lead to error and patients' harm. To identify and eliminate this type of problems, it is recommend that usability evaluation of these systems to be carried out regularly to enhance users' satisfaction, workflow improvement and patient safety.
Shahin Salarvand, Rohollah Sheikh Abumasoudi , Fahime Kashani, Mahnaz Samadbeik, Hamed Salarvand,
Volume 15, Issue 1 (6-2016)
Abstract
Background: Informative hospital website is a suitable system to exchange information between patients, hospital and health professionals and attracting consumers in hospitals. This study aimed at determining quality indicators of hospitals' websites.
Materials and Methods: A literature review study was performed by searching in different databases such as ProQuest, Ovid, Science direct, Scopus, Google scholar, PMC, PubMed and Persian Electronic Databases like Iranmedex ،Magiran ، SID, Iran doc) using Quality and Hospital website keywords. Full text of articles including English and Persian were reviewed from 2001 to 2014. Selection criteria were articles' subject which were about quality websites hospital and some articles which found from other health-related Websites (85 articles). According to the requirements and selection criteria 45 article were utilized.
Results: In this review, some indicators notified such as Alexa rank, Google page rank, website type, technical content of website, information and hospital facilities, medical and admission service, online interactive services, research scientific activities, accessibility, speed of website, comprehensive plan of website, protect users' personal data, website language, user satisfaction, website map, possibility to navigating in hospital website, email of website and impartiality.
Conclusion: Today, regarding to the importance of hospital websites' quality and addressing to biotourism, it is recommended that hospital websites become so efficient, accessible, useful, credible and accessible in order to further clients satisfaction.
Zahra Maebood Mojdehi, Amir Ashkan Nasirirour, Pouran Raeissi,
Volume 15, Issue 2 (6-2016)
Abstract
Background: Medical centers and hospitals need to expand internet, Application Service Providing (ASP) to convert it to a long-lasting choice to compete. Hence, the present study carried out with the aim of determining the relationship between quality of service providing software systems and customer satisfaction in selected hospitals of Tehran University of Medical Sciences with similar hospital information systems.
Materials and Methods: This study was a descriptive-analytical and correlation one. The study population consisted of revenue and clearance employees' unit in selected hospitals. Study method was census using Kim et al questionnaire. Descriptive statistics such as frequency, percentage and average; and inferential statistics like Kolmogorov-Smirnove Test and Pearson correlation coefficient utilized in order to data analysis.
Results: There was a significant positive correlation between quality of Application System Provider variables and users satisfaction in order of severity in system quality (r = 0.734, P = 0.01), service quality(r=0.721, P = 0.01) and information quality(r=0.521, P = 0.01). As, system quality had the most impact on users' satisfaction.
Conclusion: There was a significant relationship between the quality of Application Service Providing (ASP) with the users' satisfaction in selected hospitals of Tehran University of medical sciences. Although, all variables had positive and significant relationship with user satisfaction, their average was less than moderate limit. So, the health managers are advised to consider these issues in management methods.
Mohammadhossein Ronaghi,
Volume 19, Issue 2 (8-2020)
Abstract
Background: The fourth industrial revolution consists of combining network devices with cloud computing methods and analyzing large data and artificial intelligence, which makes it possible to call such an infrastructure smart. In a Smart Hospital, all things and devices are designed to be connected and integrated, thus achieving better patient care, increasing efficiency and reducing time waste. Therefore, the aim of this paper was to recognize the components of smart hospital based on disruptive technologies of industry 4.0.
Materials and Methods: This applied research has been done in two phases using qualitative approach in winter 2019. In the first step, the components of smart hospital were recognized from previous studies. In the second step, research experts evaluate conceptual model by Delphi method. The expert panel consists of 15 individuals active in information technology in healthcare according to targeted sampling.
Results: According to research results the main components of smart hospital are eight technologies: Internet of things technology, robotic, blockchain technology, cloud computing, big data, augmented and virtual reality technology, additive manufacturing and artificial intelligence.
Conclusion: According to components of smart hospital, Hospitals managers should equip their organization and adopt process and equipment by disruptive technologies. Due to sanctions, investment in Iranian knowledge-based companies active in new technologies field and Joint venture with them can be a suitable solution for healthcare policymakers.
Azadeh Sobhkhiz Koozeh Kanan, Zahra Haji Anzahaei, Farideh Ashraf Ganjouei, Mohammadhossein Pourgharib Shahi,
Volume 20, Issue 1 (5-2021)
Abstract
Background
In today's medical information system, various data are stored to be analyzed or retrieved when necessary. Therefore, this study was conducted to determine the needs of stakeholders of athletes' medical information management system based on international standards.
Materials & Methods
The study population included athletes, clinical service providers and managers of sports medicine centers in Iran. In this study, comparison tables of selected countries were used to assess the needs of stakeholders and were quantitative-descriptive. To analyze the data obtained from the questionnaire, the number of answers obtained for each component was determined based on the Likert scale and according to the frequency of answers related to the options, the percentage of each was calculated and the components that were more than 50% were agreed upon.
Results
Findings identified the initial data set, general components of the system and the initial assets of the Athlete Sports Medicine Information System. The results showed that the highest collective agreement about the presence of drug allergies and diabetes in the family's history was in the individual health records of athletes and the lowest agreement was reached on how to join the team. Stakeholder needs, compared to selected countries, included more details, including mental health information, that were not given much attention in the selected countries' datasets.
Conclusion
Based on the findings, it seems that a person's access to sports medicine information is a key point and a person can see and receive their information, problems and related health needs in a patient-centered treatment.
Azadeh Sobhkhiz Koozehkanan, Zahra Haji Anzahaei, Farideh Ashrafganjooie, Mohammad Hossein Pourgharib Shahi,
Volume 21, Issue 2 (9-2022)
Abstract
Background and purpose: Today, hospital care, relying on the health record system, has received more attention than before. Considering the diversity of data in these systems, the design of standard conceptual and logical models by service providers will play an important role in their success. Therefore, this research was conducted with the aim of designing a logical data model of the hospital information management system for athletes based on international standards.
Materials and methods: The design of the logical model of the hospital information system for athletes in Iran based on the main entities and components of the system was done after comparing the selected countries, the initial review of the needs of the beneficiaries, the dataset validated by the experts and the validation of the conceptual model, and the diagrams were painted. The meeting was held with the presence of experts to validate the proposed logical model. The proposed amendments were discussed and carried out in the meeting, the collective agreement on the presented logical model and the validity of the model were confirmed.
Results: login activities, password change, examination appointment booking, athlete information registration, examination registration, test results registration, vaccination information registration activity, health reminder registration, and health information registration were determined as the main diagrams of this system.
Conclusion: Based on the findings, it seems that access to sports medicine information is the key point, and a person can see and receive health needs related to him in a patient-centered treatment.
Amin Biglarkhani, Rezvan Abbasi, Mohammadreza Sanaei,
Volume 21, Issue 4 (1-2023)
Abstract
Background and Objectives
In recent years, medicine supply chain management has become more significant, especially after the Covid-19 pandemic. The most important issue is supply chain cost control. If the drug inventory is not properly managed, it will lead to issues such as the lack of inventory of certain drugs, provision of excess inventory, increased costs, and, finally, patient dissatisfaction.
Materials and Methods
In this study, an attempt has been made to predict and manage the pharmaceutical needs of hospitals using an efficient deep-learning algorithm. The drug consumption data for ten years of Besat General Hospital in Hamedan are extracted from the HIS database. As a case study, the accuracy of the predictive model is evaluated, especially for cefazolin. We use a deep model to analyze the medical time-series data efficiently. This model consists of a Long Short-Term Memory network, which can sufficiently recognize the change history in time-series prediction applications. The proposed model with many adjustable parameters in the deep architecture will bring good performance to overcome the complexities of the learning problem.
Results
Using the deep learning method can increase robustness by reducing the effects of complexity and uncertainty in medical data. The average forecasting error for the proposed method is 0.043, and the measured values for RMSE, MAE, and R2 are 0.335, 0.260, and 0.851, respectively.
Conclusion
A comprehensive comparison between some other predictive methods and the implemented model shows the outperformance of the proposed approach. Additionally, the evaluation results indicate the efficiency of the proposed approach.
Moslem Sharifi, Jalal Saeidpour, Mohammad Javad Kabir, Abdollah Poursamad, Mehdi Ebrahimi, Bahman Khosravi,
Volume 22, Issue 1 (5-2023)
Abstract
Background and purpose: With the establishment of a comprehensive health information system (SIB system) in the health department of Iran's health system, one of the important programs of this country to improve health care through the integration of health information was keyed. This study analyzed the performance of this program from the point of view of the end users of the system in the health centers of Boyar Ahmad city.
Materials and Methods: This study was a qualitative research that was conducted using semi-structured interviews and focus group meetings with 25 system users, support officials and staff experts at different levels, reviewing relevant documents and also observing users' performance. The snowball sampling method was carried out in a targeted and networked manner. Qualitative content analysis was used to analyze the data. MAXQDA10 software was used to record, organize and manage study data after collection.
Results: The findings of this study showed that the deployment of this system from the users' point of view contains many positive and negative points, which can be categorized in five general axes, data management system, caregivers' performance, care management, quality of care and infrastructure. The most important challenges of the system included technical inefficiencies, operational inefficiencies, the challenge of statistics and reporting, and technical and social infrastructure, and the most important benefits were improving the quality of care, tracking and reporting, facilitating the care process, and improving the performance of caregivers.
Conclusion: From the point of view of users, the Sib system can be considered as a positive experience in improving the quality of health care, but due to the existence of many challenges, it is far from its final goals
Javad Pourgholam Sarivi, Fatemeh Rahmaty, Maryam Yaghoubi,
Volume 22, Issue 2 (9-2023)
Abstract
Introduction : The Internet of Things (IoT) enables the connectivity of all devices in our daily lives, and it has had a positive impact on healthcare, specifically in disease diagnosis and prevention, especially during times of crisis. The objective of this research is to identify the factors that influence the use of IoT in combating COVID-19 in hospitals.
Materials and Methods: This qualitative study was conducted in 2023, using semi-structured face-to-face and telephone interviews with ten experts in health information technology and the Internet of Things. Data analysis was conducted using directed content analysis with MAXQDA software, version 2018.
Results: The data analysis resulted in 124 codes, which were then divided into 32 subcategories. These subcategories were further classified into six categories according to the model of the International Telecommunication Union. The categories include Network (five subcategories), Application (ten subcategories), Equipment (four subcategories), Support (three subcategories), Management (six subcategories), and Security (four subcategories). The Application category had the highest frequency, while the Support category had the lowest.
Conclusion: Infrastructure and legal aspects are among the most significant factors in the implementation of the Internet of Things in healthcare, particularly in the fight against COVID-19.
Mohammad Heydaryan Manesh, Aida Asghary, Ebrahim Jaafaripooyan,
Volume 22, Issue 3 (12-2023)
Abstract
The provision of virtual health care has currently received ample attention from health systems worldwide, due to the recent conditions and events. Many countries are trying to provide their preliminary visits and a relatively wide range of other care virtually, paving the way towards the introduction of virtual clinics. However, in many countries, this concept has not been clearly defined, and the characteristics that are necessary to use the virtual clinics are still unknown. This perspective has sought to explain the concept of virtual clinics and their characteristics with a brief review of related literature.
