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Automating Pressure Ulcer and Restraint NDNQI Data Collection
Handout (481.0 kB)
We sought to create a more efficient and accurate method for collecting and reporting HAPU and restraint data. An application was designed and implemented to improve data collection, automate the data export process, and develop standardized reporting.
Significance:
The goal was to develop an improved process for data collection and the timeliness of reporting outcomes. The manual process was inefficient, 700 paper monitors were sent to 26 units at 2 facilities. Monitors were collected, reviewed, and manually entered into a database for reporting.
Strategy and Implementation:
Nursing Quality & Safety collaborated with IT and WOC RN's to create an electronic process for HAPU and restraint data collection. An application was developed for capturing data more efficiently by conditionally controlling the logic of the form. The original single electronic form was turned into an application database to provide many other features. Real time electronic lists and reports are now available. Security has been implemented into the application to only allow nurses who have completed the required 4 NDNQI training modules to have access. Data is stored in a SQL database allowing for the reporting of data. Standardized reports have been developed and can be run on-demand. There is also an export feature which allows for the generation of customized reports and charts in Excel. The application was piloted for two months on several units, feedback was obtained, and the database and process were refined before system-wide implementation in October 2012.
Evaluation:
Significant improvements have resulted from implementation. Evaluation of outcomes revealed a number of significant improvements including increased staff satisfaction, improved data accuracy, improved access to data, more timely reporting, and increased security and control of the database.
Implications for Practice:
The success of this project identifies the benefits of standardizing and automating data collection and reporting for more accurate and efficient data acquisition. This allows for time to focus on utilizing the data and improving outcomes through the reduction of HAPU's and restraint use.