ABSTRACT
Introduction: Personnel readiness is the major factor for implementation of Electronic Health Records [EHR]. On the other hand, nurses play an important role to the delivery of care. This study aimed to determine factors influencing nurses' readiness to implement EHR
Methods: This descriptive - cross sectional study was conducted on the nurses in the teaching hospital affiliated to Golestan University of Medical Sciences in 2013. The data was collected by a valid and reliable structured questionnaire. Data was analyzed using Descriptive statistics
Results: Data analysis indicated that the factor of perception and awareness of the characteristics and advantages of EHR [4.76 +/- 0.45] had the highest score, whereas the factor of ensuring the security and confidentiality in the EHR [4.21 +/- 0.81] and participation in the design and implementation phase of EHR [4.29 +/- 0.71] had the lowest score
Conclusion: The most obvious finding to emerge from this study is that most nurses believe that awareness of benefits and understanding of EHR concepts, increases their readiness to implement EHR. Thus, this issue should be considered by policy makers of information technologies
Subject(s)
Humans , Nurses , Cross-Sectional Studies , Hospitals, Teaching , Surveys and QuestionnairesABSTRACT
Introduction: Standard data processing plays an important role in patient care. Nursing data forms the first level of nursing informatics. These are essential tools for documentation of nursing process by methodology of assessment, diagnosis, interventions, outcomes, evaluation and documentation of patient care. Nursing minimum data set [NMDS] is the first action for standardization of gathering unified and essential nursing data for using in multiple sets and patient groups. The objective of this research was comparison of data elements of nursing minimum data set
Methods: This was a descriptive-comparative study and was done at 2009. Nursing minimum data set in the US, Thailand, Belgium, Finland, Canada, Netherlands, Swiss surveyed. Data collection was performed through internet search, books and journals. Results presented in statistical tables
Result: Findings showed that all countries had a national NMDS. In all NMDSs, Nursing data elements divided to three groups: Nursing care, patient and service elements. There is a nursing minimum data set for nursing management in US. There is no NMDS in Iran
Conclusion: Since every countries of this study have a domestic NMDS and also there is no standard in Iran for which data elements must include in Electronic Health Records, then creating an Iranian Nursing Minimum Data Set [IrNMDS] is essential. For identifying Iranian NMDS, we recommend that a professional and legal organization administer to creating of a NMDS
ABSTRACT
Healthcare classification systems help to gather information and process health data. Nursing management focus on developing computerized records to answer legal, managerial and clinical needs. The Classification systems help organizations to use nursing data. This study investigated informational and structural needs of nursing data classification. This descriptive-comparative study was carried out in 2009. Current classification systems for nursing were investigated and their specifications were gathered in a questionnaire. The items were prioritized by experts in four degrees. Using statistical analysis items with a priority over 80 percent [average 2.4] were selected. Findings about nursing diagnosis, intervention and outcomes showed that diagnosis item [average 2.93 out of 3], intervention item [average 2.52 out of 3], and outcome item [average 2.84 out of 3] should be presented in the system. Structure of nursing data classification was identified as a hierarchical and combinational classification. The computerized terminology [average 1.86 out of 3] had no priority. It is suggested to make decisions for standardizing nursing data to use in computerized systems. Since, nursing system in Iran is moving toward defining tariff for nursing services, coding nursing care components will help this plan to be developed
ABSTRACT
Nurses are the largest groups in health care delivery system. Nursing Information systems [NIS] are important for improving nursing performance, increasing nursing knowledge and providing data and information needed for nursing. Identifying Nursing Minimum Data Set [NMDS] is the first step for development of NIS. Considering the absence of NMDS in Iran, this study was conducted with the aim of assessing NMDS needs and giving recommendations for Iran health care system. It was a descriptive developmental study. NMDS was searched in several countries; nursing data elements gathered into a questionnaire and then, were prioritized by experts. Using SPSS-PC [v.16.5], mean scores of priorities were calculated and those with more than 80% of mean score [m=2.9] were selected. Findings showed that most data elements had high priority from within nurses, perspective except "residential status [m=2.34 of 3]", "nurses, employment startup date [m=2.36 of 3]", "number of patients [m=2.32 of 3]", "employment end date [m=2.29 of 3]", "Reimbursement type [m=2.23 of 3]", Nurse Gender [m=2.05 of 3] and Nursing budget [m=1.97 of 3]. Elements for Iranian Nursing Minimum Data Set [IrNMDS] were offered as nursing care data elements [5 Items], Patient data element [14 Items] and service data element [14 Items]. Validity and reliability assessment of data set content, in-service education for nurses and more comprehensive studies regarding the clinical use of this data set is recommended