![]() ![]() Here is an example of a query that can be executed with this package. The query parameters are passed in POST request in JSON format. Please visit the R package documentation for more information. ![]() These data objects, which are included in the package, include a data frame called resources that describes the available data sources and a list called filters that includes the available filters for each data resource along with the unique values that exist for each filter. We also simplify the experience by providing two data objects that provide metadata about the data sources, their available fields and field values. ![]() This package simplifies the retrieval process by making multiple HTTP requests on your behalf and returning the full result of your query as an R data frame. The original API limits the number of records returned by a query to 100 records per HTTP request. The full functionality of the API is exposed through this package, so you can pass one or more filters that subset a data set on the server-side, returning only the records that match your query. These data sets contain information related to process of care, mortality, and readmission quality measures of U.S. ![]() This package currently supports querying the 33 Hospital Compare data sets that are available via the Data API. Note to users: The Data API is currently down. doi:10.1197/jamia.This package provides an R interface to the data API. Openness of patients’ reporting with use of electronic records: psychiatric clinicians’ views. Salomon RM, Blackford JU, Rosenbloom ST, et al. Effect of clinical decision-support systems: a systematic review. Health information technology: an updated systematic review with a focus on meaningful use. The electronic health record as a catalyst for quality improvement in patient care. Medicare and medicaid programs electronic health record incentive program–stage 3 and modifications to meaningful use in 2015 through 2017. Future policies designed to influence the implementation of certified EHRs should take into consideration how hospital size, ownership, and network-affiliation status affect certified EHR adoption among psychiatric hospitals.Įlectronic health records health information technology hospital characteristics psychiatric hospitals.Ĭenters For Medicare Medicaid HHS. This study fills a gap in previous work on certified EHR adoption that focused exclusively on general hospitals, but overlooked psychiatric hospitals. The study results suggested variations in EHR adoption according to hospital location, size, ownership, and network participation. However, there was no significant association found between EHR utilization and system affiliation, urban location, teaching status, or participation of health-maintenance organizations and preferred provider organizations. Hospitals in the northeast were less likely to implement certified EHRs compared to other regions. Of 1,059 psychiatric hospitals in the US, 502 (47.4%) have adopted certified EHR technology. Binary logistic regression analysis and χ 2 tests were performed to examine the relationship between certified EHR adoption and hospital characteristics. The aim of this study was to explore the relationship between hospital characteristics and certified electronic health record (EHR) adoption in psychiatric hospitals in the US.ĭata were drawn from the American Hospital Association Annual Survey Database and the Centers for Medicare and Medicaid Services Hospital Compare data sets in 2016. ![]()
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