Revenue Cycle Detail Reports

Revenue Cycle Benchmark Solution Detail Reports allow for quick viewing of a hospitals standing within in an organization using the following types of reports:

• Revenue Cycle Measure Detail Report
• Revenue Cycle Best Demonstrated Practice Report

Overall Quality Ranking and Percentiles

Overall peer group rankings, percentiles, and graphics are shown for each year for each care area reported:

Detail Performance

Each of the Quality Measures is represented by an easy to understand table which includes:

• Detailed Performance Graphic (Speedometer) - Shows how your Facility Score compares to the scores of the other Facilities in your Peer Group. The colored regions are fully customizable to meet your organizational needs. In the example below we have Red as 0-80 percent, Yellow as 81-90 percent, and Green as 91-100 percent.
• Detailed Trend Graphics (Statistical Regression Analysis)
• Monthly - Uses scores from every month to determine the monthly regression line
• Quarterly (with Annual Rollups) - Rolls up all scores within each quarter to determine the quarterly score and then the quarter scores are used to determine the quarterly regression line
• Distribution Graphic (Statistical Distribution Analysis) - Shows your Facility Score and Confidence Interval and compares it to your peer groups scores

Best Demonstrated Practice Analysis

Each organization’s best demonstrated practices implemented can be analyzed by viewing the BDP pie graphs:

• By Overall
• By Category
• By individual Practice

Category Summary	Headings	Facility Responses	Peer Group Responses	Graphs
Patient Financial Services	1)No 2)Yes	0% 100%	10% 90%

Side by Side Analysis

Our reports simplify analysis of each facility in your health system or peer group by showing the “Side by Side” of each facility’s score for each period, current year peer group rank, percentile and graphic, trend graphic, and footnotes.

Trend Graphics

Trend Graphics show how a facility is trending from one period to the next. The two Trend Graphics TBS utilizes are Monthly and Quarterly. Our Monthly Trend Graphic uses scores from every month to determine the monthly regression line. Our Quarterly Trend Graphic rolls up all scores within each quarter to determine the quarter score and then we use the quarter scores to determine the quarterly regression line. The Quarterly Trend Graphic also shows the Annual Score which is calculated by rolling up all scores for the given year.

Monthly Scores with Regression Line	Quarterly Plots with Annual Rollups

Target Speedometer Graphic

The Target Speedometer Graphic shows where your Facility Score (arrow) is based on the targets that have been established. The graphic is broken up into three sections to make reading the graphic easier. The three sections are:

• Red - Scores that rank below the minimum target
• Yellow - Scores that rank between the minimum target and the target
• Green - Scores that rank above the target

The line between the Red and Yellow sections is considered the Minimum Target. The line between the Yellow and Green sections is considered the Target.

How a facility scores (needle) in relation to its targets.

Percentile Speedometer Graphic

The Percentile Speedometer Graphic shows where your Facility Score lies (indicated by the arrow) based on the Percentiles of all facilities in the peer group scope. The graphic is broken up into sections to make reading the graphic easier. The four sections are:

• Red – Scores that rank in the 0 to 25th percentiles
• Yellow – Scores that rank in the 25th to 50th percentiles
• Light Green – Scores that rank in the 50th to 75th percentiles
• Dark Green – Scores that rank in the 75th to 100th percentiles

Distribution Graph Explanation

The Distribution Graph shows where your Facility Score lies (solid line in the middle of the blue bar) . The Grey bars show full distribution of measure scores in each peer group The percentiles are symbolized in the following manner:

• Facility Score – Your Facility Score for the given measure
• Confidence Interval – Used to estimate the precision of the calculated rates for an individual healthcare organization’s 95th percent confidence interval. A 95% confidence interval is the range of values, within which the true value or rate actually lies 95% of the time. Below is a description of how the 95th percent confidence intervals are calculated.
• Low Value – The lowest score that would fall in the 95th percent confidence interval.
• High Value – The highest score that would fall in the 95th percent confidence interval.
• 5th Percentile - The 5th percentile data value is the score that is equal to or greater than 5% of all the data values.
• 25th Percentile - The 25th percentile data value is the score that is equal to or greater than 25% of all the data values.
• 50th Percentile - The 50th percentile is the median response.
• 75th Percentile - The 75th percentile data value is the score that is equal to or greater than 75% of all the data values.
• 95th Percentile - The 95th percentile data value is the score that is equal to or greater than 95% of all the data values.

Confidence Intervals

Confidence intervals can be used to estimate the precision of the calculated rates for an individual healthcare organization. A confidence interval is the range of values, within which an estimated value or rate is likely to fall. A confidence interval is a statistical determination of the degree of certainty associated with an estimated value. As can be seen in the table of estimated values (below), large differences between individual healthcare organizations’ rates may be significant, and small differences between healthcare organizations are usually not significant.

The smaller the sample size, the greater the difference in rates must be order for that difference to be statistically meaningful. Also, as sample size varies between healthcare organizations, it is difficult to precisely compare their rates, without considering the confidence intervals.

Over time, as the quality data base is expanded, a full four quarters of data will ultimately be posted, so the number of cases used to determine healthcare organizations' rates will likely increase, thereby increasing the reliability and stability of the rates.