By Kateryna Fonkych
Estimates the present point and trend of Healthcare info expertise adoption in several varieties of healthcare corporations, and evaluates elements that have an effect on this diffusion approach.
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Example text
However, it is difficult to explain why PACS does not have a significant negative relationship with Medicare and Medicaid share, unlike EMR and CPOE. Also, it is unclear why contract-managed hospitals have significantly lower chances of having EMR or CPOE, but not PACS. This difference may indicate that adoption of PACS is driven by different incentives and considerations than is adoption of EMR and CPOE, such as the presence of measurable ROI. The effects of the variables that capture different types of managed care involvement by the hospital or its system vary, depending on the type of HIT system.
The MRI survey in 2004 also provides a recent estimate of CPOE that all kinds of providers have in use today—11 to 17 percent, depending on whether these are pharmacy, lab, or radiology order systems—and another 28 to 32 percent is going to install the system within a year. 5 percent of the total) uses CPOE to enter all orders (including prescriptions, labs, diagnostic, and patient care). ____________ 8 More-representative estimates may be derived from a random sample of 16,000 groups. The groups will be mailed paper surveys, and the MGMA data were to have been available by March 2005.
Finally, membership in a hospital system increases the chances that a for-profit hospital will adopt CPOE or a PACS. The analysis we performed reinforces the idea that adoption of EMR or CPOE by for-profit hospitals is driven by considerations and incentives other than those that drive their non-profit peers. Nevertheless, those characteristics of hospitals that matter for adoption of radiology PACS are fairly similar, despite the large differences in adoption rates. ____________ 11 We have not included the regressions with a competition variable, because this variable has a large number of missing observations, reducing the sample size and resulting in having to drop other variables.
