Showing 23 results for Clinical
R Safdari , Mr Akbari , Sh Tofighi , M Moinolghorabaei , Gh Karami ,
Volume 3, Issue 2 (9-2009)
Abstract
Background and Aim: Today, psychological diseases like so many diseases, have an old history. Clinical Information System of psychological diseases resulting from war is a part of the information management system of mental illnesses, due to the management of mental patients from the war. This study is aimed to compare information management of psychological diseases in American, Australia and England with Iran.
Methods and Materials: This research is a study. At first, the existing situation was studied in three Psychiatric Centers in Ahvaz and Tehran with the use of a cheek list. Then information system of psychological disease has been studied in elected countries and based on the need of our own country, proposing practical solutions for Iran.
Results: The results of this study showed that there was no a information system of psychological disease in Iran. Also, four factors of this system including (goals, content structure, informational elements, information registration criteria) are reviewed in four selective countries.
Discussion and Conclusion: The design and implementation of this system in psychiatric centers is recommended to set two main goals including quality control and cost control in Iran.
H Dargahi , M Ghazi Saeedi , R Safdari , M Hamedan ,
Volume 4, Issue 2 (9-2010)
Abstract
Background and Aim: The benefits of a unique computerized medical records and communication equipments is utilized to collect, storage, process, extract and relate to patient care information and management information. If this utilization is in accordance with the needs of managers and staff of medical records, many of the nation's health system problems will be dissolved. Information systems in health supply system by compiling, analyzing and publishing data provide utilization of information improve the health of the society. The purpose of this study is to investigate the process of clinical information systems in general hospitals of Tehran University of Medical Sciences based on available clinical information system in these hospitals.
Materials and Methods: This descriptive study is an application study that conducted in order to determine the process of clinical information system in general hospitals of Tehran University of Medical Sciences based on available clinical information in these hospitals. The required data have been collected by a valid and reliable questionnaire. Descriptive statistics were used to analyze data.
Results: With regard to the current condition and the importance of survey of the process of clinical information system in the studied hospitals, the authors provided the desired checklist in general hospitals with studying the related system in America, Australia and England countries, on the basis of country requirements in the form of clinical information system processes. We studied clinical information system processes in departments of admission, filling and retrieving, statistical and coding and also soft wares in this department.
Discussion and Conclusion: It is necessary to create a coordinated and integrated clinical information system with suitable process and empower experts in the field of proper use of data with regard to the position of information system in each organization and its fundamental role in the adoption of accurate policies. We found that relative frequency of clinical information system processes is more than 60% in this department and clinical information system elements was observed 75% in all the departments except admission.
Roohangiz Jamshidi Orak, Alireza Amanollahi,
Volume 6, Issue 5 (1-2013)
Abstract
Background and Aim: Randomized controlled clinical trial is the most valid type of epidemiological studies for the treatment of diseases. The aim of the present article is to determine the subject area, type of intervention, and blinding methods used in this type of study design.
Materials and Methods: This is a cross-sectional descriptive study in which all the articles based on randomized controlled clinical trial were studied. The articles were all affiliated to Tehran University of Medical Sciences(TUMS) and indexed in PubMed by the end of the year 2010.
Results: Among the subject areas, most randomized controlled clinical trials(44 cases or 14%) were conducted in the field of Obstetrics and Gynecology. In terms of intervention type, the majority of the studied trials(214 cases or 68.2%) used drug intervention. And regarding the type of blinding, double-blinding was employed more than other blinding techniques(152 cases or 48.4%). On the whole, 125 cases(39.8%) of randomized controlled clinical trials were conducted through drug intervention simultaneous with double-blinding technique.
Conclusion: In different subject areas, the application of blinding techniques and type of intervention are somewhat related to research methodology and medical ethics. It seems that intervention type depends on subject area, and blinding technique is determined by the selected type of intervention.
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.
Mohammad Hadi Mousavi, Farzad Faraji Khiavi , Maryam Norouz Torkaman ,
Volume 7, Issue 2 (7-2013)
Abstract
Background and Aim: Clinical laboratories, due to their succeptibility to potential risks, are priorities in all activities concerning safety issues in hospitals.
Total Quality Management (TQM) is a model considered by WHO for clinical laboratories safety development. This study aimed to assess how safety standards were followed at the clinical laboratories of hospitals affiliated with Tehran University of Medical Sciences (TUMS) based on TQM safety regulations.
Materials and Methods: This descriptive study was conducted on a research population including TUMS hospitals clinical laboratories in 2012. For data collection, census was applied and sampling was not considered. The data gathering instrument was a checklist measuring seven safety components based on TQM. The validity of the instrument was determined through content validation, and Cronbach alpha was calculated to be 0.82. For the analysis of the results, descriptive statistics including frequency percentage of scores was employed.
Results: The safety of research population turned out to be suitable in terms of four factors: designing, existence of general safety items, conducting standard safety activities, and safe disposal of laboratory wastes. Besides, implementation of safety programs and increase in employees’ knowledge to cope with accidents were relatively acceptable. The emergency evacuation program, however, was estimated as poor.
Conclusion: The studied laboratories enjoy relatively safe conditions, but imperfect implementation of safety protocols can endanger safety conditions. Therefore, it is necessary to take the required correcting measures to ensure full safety in clinical labs.
Mehdi Kahouei, Roghayeh Eskrootchi , Farbod Ebadi Fard Azar ,
Volume 7, Issue 3 (9-2013)
Abstract
Background and Aim: To optimize emergency services depend s on appropriate management structures and efficient and effective information system design . This study aim ed to investigate emergency department staff's information needs of emergency information system and to design a conceptual model of these needs.
Materials and Methods: This descriptive study was performed among nurses and emergency medicine professionals working in emergency units of 9 hospitals affiliated to Tehran and Shahid Beheshti U niversities of M edical S ciences . Data w ere collected by interviewing 25 staff members in the emergency department , model d esign by RUP method and UML language and questionnaire d istribution among 315 staff members in the emergency department. Data collected were analyzed by descriptive statistics and SPSS.
Results: Most nurses and emergency medicine physicians believed that multiple data elements such as time of patient’s first visit and procedure , t he latest status of patient, medical procedure taken , and paraclinical procedure taken must exist in the emergency information system . Also 68.3% (108) of them agreed with the relationship between data elements required in the clinical practice process .
Conclusion : It is concluded that the presence of identity , clinical , and paraclinical data in emergency information systems can produce an electronic medical record. According to these data, elements can improve the coordination between the hospital emergency and pre- hospital rescue teams , controlling of victim status , access to patient reports and quality of service to patients.
Mehdi Kahouei, Hassan Babamohamadi ,
Volume 7, Issue 4 (11-2013)
Abstract
Background and Aim: Information technology acceptance model predicts acceptance based on end-users' perceived usefulness and ease of use of technology for a specific purpose. The aim of this study is to understand nursing staff’s adoption of clinical information systems based on information technology acceptance model.
Materials and Methods: This descriptive- analytic study was conducted on 316 nurses in hospitals affiliated with Semnan University of Medical Sciences (SUMS) and those affiliated with the Social Security Organization (SSO). The data collection tool was a valid and reliable questionnaire . The d ata were analyzed by descriptive statistics, Mann-Whitney and chi-square tests .
Results: Some 73 % of nurses agreed that the nursing information system provides them with correct information. Besides, 55.7% of nurses had accepted the information system. The results showed that male nurses had admitted clinical information systems more than female ones (P<0.05). Moreover, nurses who were aware of their duties towards the computer program or those who were aware of the goals of computer applications had adopted information technology more (P <0.05).
Conclusion : Most of the nurses had accepted the clinical information system in their daily work. However, issues such as inadequate number of computers , content design, system c apability problems, and nurses' computer skills and knowledge should be seriously examined . Moreover, several interventions should be planned and developed in technical and individual areas such as enhancement of nurses' IT knowledge , teamwork culture , organizational position , team cooperation, and updating and upgrading the network.
Fatemeh Ghazanfari , Hossein Mobaraki ,
Volume 7, Issue 6 (3-2014)
Abstract
Background and Aim: Clinical governance is the application of mechanisms at the right time and place to do tasks for patients properly and obtain maximum clinical results. The implementation of clinical governance definitely requires the skills and inclinations of those working in healthcare sector. The main objective of this study is to identify the relationship between human resource management (HRM) on the one hand and the implementation of clinical governance and the optimal establishment of its framework on the other hand through offering strategies for effective human resource management.
Materials and Methods: This is a descriptive analytical study conducted in a cross-sectional way in 2012. The sampling method was a two-step cluster sampling. Shariati, Imam Khomeini, and Hashemi Nejad were randomly selected from among the hospitals of Tehran University of Medical Sciences (TUMS). The data collection instrument was a researcher-made questionnaire and a checklist. In each hospital, 30 questionnaires were randomly distributed. The gathered data were analyzed by SPSS.
Results: The minimum and maximum scores of clinical governance pertained to Imam Khomeini (594) and Hashemi Nejad (753) hospitals, respectively. Moreover, significant relationships were found between variables of training, recruitment and employment, salaries and benefits on the one hand and clinical governance on the other.
Conclusion : Considering the significant relationship between HRM and the implementation of clinical governance, investment in this aspct of clinical governance as the one that influences success in other aspects can be effective in the establishment of clinical governance.
Fatemeh Rangrazjeddi , Alireza Moraveji , Fatemeh Abazari ,
Volume 7, Issue 6 (3-2014)
Abstract
Background
and Aim: Evidence Based Medicine (EBM) is the explicit use of current best
evidence in making decisions about the care of individual patients. Hospital information system (HIS) can act as a
bridge between medical data and medical knowledge through merging of patient's
data, individual clinical knowledge and external evidences .The aim of this
research was to determine the Capability to establish EBM by HIS.
Materials
and Methods: This descriptive cross-sectional study was carried out on HISs of 30
hospitals from March to October 2011. Data were collected using a researcher-
constructed checklist including applicant’s background information as well as
information based on research objectives. Validity of the checklist were
assessed by the qualified specialists and then the data were analyzed using
descriptive statistics and SPSS software.
Results: HISs lacked the essential components for providing access to CDSS,
Reference databases and internet-based health information in 19, 16 and 20
hospitals were 63.3%, 53.3% and 66.7%, respectively. Twenty-two hospitals (70%)
had more than two-thirds of the essential components to access clinical and
administrative data repositories 23 hospitals (76.7%) had at least one
essential component to access contextual and case specific information.
Conclusion: The Capability of HIS is better in order to place EBM in
having access to the clinical and administrator data repositories while it
needs more attention in other areas.
Fereshteh Farzianpour, Mohamad Reza Eshraghian, Amir Hossein Emami , Shayan Hosseini,
Volume 8, Issue 5 (1-2015)
Abstract
Background and Aim: Every educational system, whether micro or macro, needs its training programs to be studied and educationally evaluated. This study aims to assess training and internship programs in hospitals based on surveying the students of Tehran University of Medical Sciences (TUMS).
Materials and Methods: This is a cross-sectional study with survey descriptive design. The data collection tool was a questionnaire with 14 five-point Likert style items. The TUMS Educational Development Center (EDC) surveyed all 185 students of training and internship programs, using a questionnaire with the Cronbach’s alpha coefficient of 0.81 in 2011, in order to adjust the education with the society’s needs and to improve its quality.
Results: The mean assessment scores of training and internship programs were 3.32%, 2.98%, 3.38%, and 3.29% for applied training, mental skills, communication skills, and practical skills courses, respectively.
Conclusion: The students’ satisfaction rate regarding the quality of educational courses of training and internship programs was 50.2%. Educational authorities have made necessary attempts to implement these programs and use potential resources for realizing the objectives and achieving the educational quality however, they should make further attempts in this regard.
Saeed Asefzadeh, Sanaz Taghizadeh, Ali Heyrani , Rafat Mohebbifar, Jalal Arabloo,
Volume 9, Issue 2 (7-2015)
Abstract
Background and Aim: To improve the implementation of clinical governance (CG) in Iran's hospitals, awareness of various aspects of its implementation and assessment is important. The aim of this study was to find out the obstacles and challenges of clinical governance implementation and assessment in Qazvin teaching hospitals. Materials and Methods: Semi-structured interviews with 17 senior managers, clinical staff and clinical governance experts were conducted in six hospitals of Qazvin University of Medical Sciences (QUMS). To analyze the collected data, framework analysis was used. Results: The challenges and obstacles of CG implementation in Qazvin teaching hospitals were explained using three themes of (1) challenges of CG implementation, (2) improvement in seven dimensions of CG, and (3) challenges of CG implementation assessment. Conclusion: The results of this study show that CG implementation needs to address three issues: improving clinical staff awareness about CG, changing organizational culture so as to make it more receptive to CG, and creating higher levels of cooperation among physicians, managers, patients, specialists, and professionals. The supportive role of top management in addressing the three issues and in providing resources and other infrastructures is obviously essent
Ghafur Tavakoli , Roshanak Daei, Farshad Hashemi, Mehdi Zarei, Hoda Deli, Seyed Jamal Hashemi,
Volume 9, Issue 6 (3-2016)
Abstract
Background and Aim: In medical centers, after obtaining visceral clinical samples in suitable containers under certain circumstances, they are sent to mycology laboratory. Since sometimes it is impossible to test specimens immediately, therefore, they should be kept in the refrigerator. Thus, possibility of keeping samples, the confidently time of samples keeping in a refrigerator and the appropriate guidelines for the maintenance of visceral samples for clinical centers have a particular importance for practical purposes and are the aim of this study.
Materials and Methods: At first, the specimen was examined by KOH direct microscopic examination for detection of fungal elements. After primary culture of visceral samples on the Sabouraud dextrose agar with chloramphenicol (SC) medium, the samples were sequentially placed in a refrigerator at temperature 2-8 ºc for 1, 2, 24 and 48 hs and each sample with the specific mentioned time culturing was performed on the Sabouraud dextrose agar (S) and SC media. Then the results of growth were recorded.
Results: From 100 samples, 79 samples had grown, 20 samples with lack of growth and in 1 sample reduced growth were observed.
Conclusion: After 48 hours of cold temperatures (2-8 ºc) visceral fungal clinical samples are able to grow in culture media. So samples which were not tested immediately, could be stored at temperatures 2-8 ºc in the refrigerator.
Zhila Najafpour, Abolghasem Pourreza,
Volume 9, Issue 6 (3-2016)
Abstract
Background and Aim: The analysis of patients’ safety clinical indicators is considered as one of the safety improvement instruments. Therefore, the present study is aimed to analyze the indices of safety clinical services in selected hospitals of Tehran University of Medical Sciences (TUMS).
Materials and Methods: The present descriptive-analytical study was conducted in 11 TUMS hospitals in 2013. The study tool was the patient safety evaluation protocol of the World Health Organization (WHO). A checklist was completed following interviews, observations, and documentation reviews. The data were analyzed with descriptive and analytical tests, and SPSS software version 13.
Results: The average scores of the studied hospitals were 96.6, 85.6 and 66 for the required, basic and advanced indices, respectively. The figure was not acceptable in required standards, but it was acceptable in basic and advanced ones. In the studied hospitals, numbers 7, 2, 4, 11, and 9 enjoyed the highest amount of conformity with standard, and were placed in rank 2 according to the ranking protocol. Finally, there was no meaningful statistical difference among hospitals in their observance of standards.
Conclusion: Conformity with necessary standards was low in 6 studied hospitals, but in 5 hospitals, it was acceptable in basic and advanced standards. Hospitals need enhancement programs in statements of information management system, drugs management system, infection reduction system, and effective clinical system.
Mohammmad Khammarnia, Zahra Kavosi, Mohadaseh Ghanbari Jahromi, Asra Moradi,
Volume 10, Issue 1 (4-2016)
Abstract
Background and Aim: Hospital complaining is an important dimension of clinical governance. This study aimed to determine the impact of clinical governance program on patients’ complaint in Shiraz public hospitals.
Materials and Methods: This applied study was conducted as descriptive-analytical in 2012 in Shiraz. The population studied was 10 public hospitals in Shiraz and the patients complaints were studied during 5 years. Data collected through Iranian Ministry of Health standard checklist of clinical governance. The data entered to SPSS version 21, and analyzed using descriptive statistics and analytical tests such as Chi-square.
Results: Registered complaints had increasing trend during the execution of the program and were 1905. Moreover, 60.5% of the complaints have been made by family members. There was significant relationship between complaints registered with the hospital wards (P=0.000) and gender (P=0.000). Therefore, both genders and in all departments of the hospital complaints of poor quality and inappropriate behavior of the staffs was greater than other complaint.
Conclusion: The number of complaints has increased in recent years. It is proposed to reduce the number of complaints attention to improve communication between physicians and patients, medical ethics, cut non-conventional financial relationaship between physicians and patients, and increased scientific and technical knowledge and skills.
Nastaran Mirfarhadi , Atefeh Ghanbari, Abbas Rahimi,
Volume 11, Issue 1 (5-2017)
Abstract
Background and Aim: Early diagnosis is a tenet in oncology and enables early treatment with the expectation of improved outcome. The aim of this study was to determine the factors associated with personal characteristics and clinical signs in patients with breast cancer.
Materials and Methods: This research was a descriptive analytic that
cross-sectionally assessed 232 patients with definite breast cancer diagnosis that referred to Razi hospital located in Rasht using a researcher designed questionnaire including demographic and clinical signs. Collected data (mammography, tumor size, pathological stage of tumor) were obtained from medical records of patients. Gathered data analysis was accomplished with SPSS V.19 and for description of data from average and standard deviation for inference statics fisher test with a
P value of 0.05 were used.
Results: Mean age of subject was (49.80+10.27). 44 individuals (14%) had a precedent regular mammography before disease. Hundred and four (44.8%) in first appointment were referred to a general surgeon. Hundred and thirty six (58%) women were in stage III of the disease. Hundred and twenty nine (60%) patients had a tumor size more than 5 cm and 106 (46%) had a lymph node metastasis at the time of diagnosis. Patients referring with advanced stage of breast cancer had a low education (P=0.04) and income level (P=0.01).
Conclusions: Recognizing associated personal and clinical factors with early diagnosis can provide essential information for planning health education, screening and presenting appropriate solutions to overcome barriers to treatment and care in health system planning in this provinc
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.
Azita Yazdani, Reza Safdari, Roxana Sharifian, Maryam Zahmatkeshan, Marjan Ghazi Saeedi,
Volume 14, Issue 2 (5-2020)
Abstract
Background and Aim: When clinical decision support systems are developed, implementing solutions that enable these systems to be -used on a large scale can reduce the production costs associated with the creation, maintenance and by sharing these systems, producing multiple clinical decision support systems will be prevented. In recent years, one of the approaches used for this purpose in combination with clinical decision support systems is the service-oriented architecture approach. The purpose of this study was to investigate the role and importance of service-oriented architecture in delivering scalable architectures of clinical decision support systems focusing on different approaches to this architecture.
Materials and Methods: This article is a simple review article. Bibliographic databases of IEEE Explore, Science Direct, Springer, Web of Science, and Scopus were reviewed. The keywords "Service Oriented Architecture" and "clinical decision support systems" were used as keywords along with related terms for searching these databases.
Results: The clinical decision support systems based on service-oriented architecture brings benefits such as Facilitate knowledge maintenance, reducing costs and improving agility. Point-to-point communication, enterprise service bus, service registry, clinical and engine guiding engine, and service choreography and orchestration are general architectural designs that are evident in the use of web-based clinical decision support systems based on a service-oriented architecture approach.
Conclusion: Service-oriented architecture is a potential solution for delivering scalable platforms for clinical decision systems.
Leila Shahmoradi, Niloofar Kheradbin, Ahmad Reza Farzanehnejad, Niloofar Mohammadzadeh, Atefeh Ghanbari Jolfaei,
Volume 16, Issue 2 (5-2022)
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.
Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi, Raoof Nopour,
Volume 16, Issue 2 (5-2022)
Abstract
Background and Aim: Breast cancer is one of the most common and aggressive malignancies in women. Timely diagnosis of breast cancer plays an important role in preventing the progression of this disease, timely treatment measures, and aftermath reducing the mortality rate of these patients. Machine learning has the potential ability to diagnose diseases quickly and cost-effectively. This study aims to design a CDSS based on the rules extracted from the decision tree algorithm with the best performance to diagnose breast cancer in a timely and effective manner.
Materials and Methods: The data of 597 suspected people with breast cancer (255 patients and 342 healthy people) were retrospectively extracted from the electronic database of Ayatollah Taleghani Hospital in Abadan city with 24 characteristics, mainly pertained to lifestyle and medical histories. After selecting the most important variables by using the Chi-square Pearson and one-way analysis of variance (P<0.05), the performance of selected data mining algorithms including RF, J-48, DS, RT and XG -Boost was evaluated for breast cancer diagnosis in Weka 3.4 software. Finally, the breast cancer diagnostic system was designed based on the best model and through C# programming language and Dot Net Framework V3.5.4.
Results: Fourteen variables including personal history of breast cancer, breast sampling, and chest X-ray, high blood pressure, increased LDL blood cholesterol, presence of mass in upper inner quadrant of the breast, hormone therapy with estrogen, hormone therapy with Estrogen-progesterone, family history of breast cancer, age, history of other cancers, waist-to-hip ratio and fruit and vegetable consumption showed a significant relationship with the output class at the P<0.05. Based on the results of the performance evaluation of selected algorithms, the RF model with sensitivity, specificity, accuracy, and F- measure equal to 0.97, 0.99, 0.98, 0.974, respectively, AUC=0.936 had higher performance than other selected algorithms and was suggested as the best model for breast cancer diagnosis.
Conclusion: It seems that using modifiable variables such as lifestyle and reproductive-hormonal characteristics as input to the RF algorithm to design the CDSS, can detect breast cancer cases with optimal accuracy. In addition, the proposed system can be effectively adapted in real clinical environments for quick and effective disease diagnosis.
Mostafa Roshanzadeh, Mina Shirvani, Ali Tajabadi, Mohammad Hossein Khalilzadeh, Somayeh Mohammadi,
Volume 16, Issue 2 (5-2022)
Abstract
Background and Aim: Clinical learning is an important part of the health field, where the student interacts with the environment and applies the learned concepts in practice. Clinical environments such as operating rooms are challenging for students due to their special complexity and can have a negative impact on their learning process. In order to identify students ‘learning challenges in the operating room environment, the present study was conducted to explain students’ experiences in the field of clinical learning challenges.
Materials and Methods: The present qualitative study was performed by contract content analysis method in 2022 in Shahrekord University of Medical Sciences. Fourteen surgical technology students were purposefully selected and data were collected using in-depth semi-structured individual and group interviews and analyzed using the Granheim and Landman approaches.
Results: The participants were interviewed over a period of 5 months. 9 face-to-face interviews were conducted with 14 participants. There were 6 individual interviews and 3 group interviews. The average duration of the interview was 30 minutes. The interviews continued until data saturation and when no new themes or categories were obtained from the interviews. The findings included a theme of “unfavorable learning environment” and three categories of “confusion in learning educational content, improper professional behavior of staff and insufficient self-confidence”. The main challenge that students faced in the field of clinical learning was the unfavorable learning environment. Conditions such as confusion in learning educational content, improper professional behavior of staff and insufficient self-confidence experienced by the students in the operating room, cause the students to find the learning atmosphere in the operating room unfavorable.
Conclusion: Improving the behavior and performance of staff and physicians in accordance with the standards of professional and ethical behavior and its regular evaluation from the perspective of students and other colleagues can play an effective role in maintaining professional conditions. Also, using experienced instructors who have the role of facilitating communication and learning of students in the operating room environment will play an effective role in reducing fear and controlling inappropriate behaviors of staff towards students. Educational officials are advised to solve the existing problems in order to improve the educational atmosphere of the operating room.