The chance of prescribing the wrong medication also decreases since there is always a reference for electronically prescribed drugs. To investigate the relationship between extent of HIT implementation and the performance measures, we used a General Linear Model GLM with the following independent variables: the HIT categories defined above, hospital structural characteristics, and the mean clinician response by hospital for the commitment and resource questions.
Web based system— In addition to the user friendly features, a good HIS system must be available on the web. However, as reported in Cohen et al. Two other technologies—bar coding and radio frequency identification RFID systems—are used to track the location and disposition of pharmaceuticals, medical equipment, surgical supplies, and patients to help ensure, for example, that medications are administered safely and correctly.
It is possible that respondents may have believed that patient care quality was better in their hospitals simply because their hospitals had implemented quality-enhancing HITs.
They manage the data related to the clinic, finance department, laboratory, nursing, pharmacy and also the radiology and pathology departments. Pediatric, psychiatric, rehabilitative, orthopedic, and chronic disease hospitals were excluded from the sample. It is likely that HITs are enablers of quality practices and clinical QI strategies through enhanced communication, documentation, information transfer, performance monitoring, and error prevention, thus, leading to improved quality performance.
Modern HIS includes many applications addressing the needs of various departments in a hospital. The employees have to manage and integrate clinical, financial and operational information that grows with the practice. Nurses also use it for admission information, care plan and all relevant nursing notes.
The main differences between the population and the sample in the current study were the higher percentages in our sample of large hospitals Since these variables are positively correlated with extent of HIT implementation, inclusion of the variables decreases the chance of finding a statistically significant relationship between HIT and performance.
When extent of HIT implementation was not statistically significant, we reran the model without these variables.