جستجوی مقالات مرتبط با کلیدواژه « ahp فازی » در نشریات گروه « پزشکی »

Improving the performance appraisal system in the armed forces health care system is one of the challenges for managers in this field. Therefore, this study aimed to develop performance evaluation indicators of nurses working in military medical centers in Iran.

The present study is an applied and multi-stage research that was conducted in three general phases during the years 2020-2021 in military medical centers of Iran. Participants included 36 experts in the field of nursing. Library study, purposive sampling, in-depth and semi-structured interviews, semi-open questionnaire, expert panel meetings, and the Delphi method were used to collect data. Data were also analyzed by qualitative content analysis and Graneheim and Lundman's proposed steps. The importance of the identified criteria was determined through a pairwise comparison questionnaire based on a 5-point Likert scale and by fuzzy hierarchical analysis method in Matlab software.

Based on the results of this study, 33 performance criteria for military nurses in four categories of special conditions competencies (10 indicators), military competencies (7 indicators), command and leadership competencies (4 indicators), and nursing's basic competencies (12 indicators) were identified by experts, and the importance of each was determined.

The study results showed that special conditions competencies and basic nursing competencies are more important than other groups in the military nurses' performance evaluation. Therefore, it is suggested that the identified indicators in this study can be used in macro-management decisions in the fields of education, training, and performance management of military nurses.

Many indicators can be used in evaluating and comparing any software, but, currently there are no indicators to compare software applications that separate tumor tissue from healthy tissue in magnetic resonance imaging (MRI) of the brain. The aim of this study was to determine appropriate criteria for selecting a proper software for tumor diagnosis in brain MRI.

A qualitative applied research was designed and performed in 10 stages. Appropriate criteria for selecting the software were determined using Delphi technique and expert opinions (30 people). They were then weighted and prioritized.

In this study, a questionnaire was developed which was completed by Information Technology (IT) specialists and software engineers. We extracted 15 criteria, among which the "possibility of using the results in education" was the most agreed (93%) criterion and the "possibility of using software in medical environments" was the least agreed (47%) criterion. Also, these two criteria had the highest and lowest relative weights (0.1443 and 0.011, respectively).

: According to this study, IT specialists and software engineers believe that current software applications are more suitable for education and research than diagnosis and treatment. Therefore, they will categorize software applications according to their efficiency in research and education.

Nowadays, medication errors as the most common medical error are among the most important health and safety issues for patient safety. The aim of this study was Assessing and Management of Clinical Risk in medication Process of CCU in Mashhad teaching hospitals by HFMEA Method.

The present study is a combination (qualitative – quantitative, cross sectional -descriptive) method. Data was collected through direct observation, review of documents, FGD technique by Non-probabilistic sampling based on purpose and by HFMEA standard work-sheet to risk analysis, decision tree analysis, identifying the root causes of failure states and suggestion of Improvement measures. In this study Fuzzy AHP (Analytical hierarchy process) Technique for selecting Priority Process, the Eindhoven model (ECM) was used and the Idea Generation Method was used to suggestion Improvement measures. Finally, data was analyzed using Excel software by descriptive statistics.

A total of 50 failure states in the 5-step medication process were identified, so that failure states were identified as unacceptable risk.so that from the total root causes of erorrs were categorized based on the ECM model, 62.7% of latent errors and 37.3% of obvious errors and Improving measures were suggested., if these strategies are implemented, in the re-evaluated Controlled Risk The ratio of unacceptable risks will decrease from 56.9% to 21.6%.

The essential medication process due to Medicinal errors in some cases instead of treatment may increased costs, injury and prolonged hospital stay. The HFMEA Method with preventive approach and the focusing of systems rather than individual errors, in order to identify and resolve increases the agreement on process and organizational weakness and can play an Effectiveness role in eliminate the root causes of errors, especially in the sensitive and complex of the CCU ward.