Mohammad Jebraeily; Zakyeh Piri; Bohlol Rahimi; Nazafarin Ghasemzade; Ayat Mahmodi
Volume 8, Issue 6 , January and February 2012, , Pages 807-814
Abstract
Introduction: The critical dependence of healthcare services systems on information along with the indigenous restriction of paper documents in satisfying this need has caused a trend toward computer information systems. The main goal of such systems is to achieve electronic health records ...
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Introduction: The critical dependence of healthcare services systems on information along with the indigenous restriction of paper documents in satisfying this need has caused a trend toward computer information systems. The main goal of such systems is to achieve electronic health records (EHR). However, implementation of EHR in healthcare organizations is difficult and complicated. This research aimed to assess the barriers of EHR implementation. Methods: This descriptive, cross-sectional study was conducted in 2010. It included 120 employees (such as physicians, nurses, laboratory and radiology and medical records departments staff) from teaching hospitals affiliated to Urmia University of Medical Sciences. Data was collected by a self-developed questionnaire whose reliability and validity had been measured by specialists and internal consistency method (r = 0.86), respectively. The collected data was analyzed using descriptive statistics and analytical statistics (t-test and chi-square test) in SPSS. Results: Based on our results, attitudinal-behavioral (93.4%) and organizational change barriers (88.4%) scored the highest among the barriers of HER implementation. In addition, minimum scores were related to financial barriers (72.8%). Correlation analysis showed a significant correlation between job and organizational change barriers (p = 0.003), and also between the history and attitudinal-behavioral barriers (p = 0.006). Conclusion: Since the most important barriers of EHR implementation were attitudinalbehavioral barriers and organizational change barriers, educational interventions seem necessary to create an appropriate attitude among health care providers. Increasing knowledge of system users about the features, objectives, benefits and positive effects of the system while ensuring the confidentiality and security of HER would decrease change resistance and increase the acceptance and participation in EHR implementation.
Mahtab Karami; Zakie Piri
Volume 4, Issue 2 , September 2007
Abstract
Abstract Clinical coding is a translation of medical documents to diagnostic, procedure and financial codes. Health care data are displayed with codes. Clinical coding is a knowledge process in health care and include concepts of knowledge management such as codification of knowledge, storage of ...
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Abstract Clinical coding is a translation of medical documents to diagnostic, procedure and financial codes. Health care data are displayed with codes. Clinical coding is a knowledge process in health care and include concepts of knowledge management such as codification of knowledge, storage of knowledge, packaging of knowledge with its details and delivery to users and coordinating of intellectual resources.Conversion process of data into knowledge is a continual process in health care industry and knowledge created in any phase is a data for upper phase too. So clinical coding performs organization of knowledge is related to diseases. The databases taken from clinical coding process display diagnostic data and codes in relational table formats of data mining and On-Line Analysis Processing (OLAP) can discover knowledge from it. Furthermore creation of On-Line Discussion Group can play important role in knowledge sharing and improvement in process of Health care information management particularly clinical coding.Health care information management professions need to identify real situation of clinical coding and impact of their functions on knowledge management in healthcare and health decisions and thus improve their practice with knowledge management tools. Keywords: Information Management; Knowledge; Classification; Diseases
