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Products » RAPID » Standard Views

PRODUCTS   Standard Views

RAPID provides a robust series of modules that include standard views that cover areas ranging from budget vs. actual financial comparisons to HR, physician rankings and quality reporting. Each view comes with a series of filtering options and a table list that end users can use to modify and save their own report views. These modified views can then be saved for their own personal use, published to their group, or scheduled to run as an emailed report. These standard views and their filter options enable users to create a virtually limitless number of reports without requiring IT's support.



Users can click on any module or sub-module to access a specific view or OLAP Cube to run a report.



Within each module, users can imbed web content such as the AHRQ website shown above, or they can imbed MS Word, Excel or PDF files. Once in the module, users can click on a view to run a report. RAPID is also fully integrated with the 3-M APR DRG application to support a series of risk and severity adjusted views and cubes. In the following, users can access the risk adjusted mortality rate view where they can filter the data as needed to generate a report view and then save that report view for future use by them or their team:



Once filtered to reflect the information desired, the user can run the report:



From this point, users can add a field to the report from the field list. They can sort by any field. They can move any column. They can save the report as a snapshot; export to Excel, PDF or Word; email the report to someone; schedule the report to run on a recurring basis; generate a chart; or print the report. They can also drill down to see the patient cases, in this case associated with the attending provider:



They can even drill down into the specific Patient Visit or History details:



Ask a Medisolv account executive at 443-539-0505, ext 30 or email us at sales@medisolv.com to find out more about how Medisolv Drill down reports can help you in your data analysis.

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