Keet Outcomes Dashboard Overview

MIPS (Merit-based Incentive Payment System) Reporting can now be viewed in the Keet Outcomes Dashboard accessed through Amazon Quicksight. This article will help you navigate through your clinic's Dashboard and review each of the available reports and it's data criteria. 

Introduction to the Dashboard

Click on the + to each reporting category to learn more and view recorded demo videos. 

Navigating Your Dashboard

Your clinic's dashboard has 6 available MIPS and Outcomes Reporting tabs, we call these Reports. Located above your reporting tabs will be the option to undo, reset, or redo each control adjustment that is changed. 

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Each reporting section has available Controls. Controls are used to adjust the report metrics that are being shown below in the available graphs and data fields. Each tab has it's own control components that allow for appropriate filtering when looking to dive deeper into your analysis.

All controls are formatted as a single-select or multi-select dropdown. To utilize a control, simply click on it and select your desired value(s). The controls are defaulted to display all values. 

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To the right of the dashboard, you can print the reports or change your view.

Throughout the reporting tabs, you can click on each reporting section containing a data table or bar graph to either scroll to the right for more view, use the arrows to expand the window, or the three ... ellipses to export the data to a CSV or Excel file. 

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All visualizations in your report give you the option to export to CSV, however, all other visualizations are limited to a slice of the data. To download all your raw data, export from the “Individual Numbers” report.

Performance Report

Use this report to understand how your organization, locations, and individual providers are performing based on failure to progress

Performance figure 1: Performance Rate Report - Functional Measure (Observed and Predicted)

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Understanding the bar graph: 

The graph provides a visual display of a comparison to the observed FTP (Failure to Progress) rate, the predicted FTP rate, and the FTP benchmark all by functional measure.

 Green line: 2019 performance benchmark specific to Keet which will change year over year. 

Dark blue:  Risk-adjusted expected FTP rate specific to your population 

Light blue: observed FTP rate 

A light blue bar that is lower than a dark blue bar is a good performance percentage. 

Data Criteria Filters: 

  • age: Greater than 17
    •  Filter for adult patients
  • proms_completed: Greater than 1
  • disqualified: Equals 0
    •  Filter out all disqualified patients

Performance figure 2: Performance Rate Report by TIN -Functional Measures (List View) 

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Understanding the table:

This table displays the eligible, exclusion, exception, and measure population for each organization broken down by each functional measure ID. Within each breakdown, there is a comparison of FTP rates to the predicted and benchmark values displaying performance.

*outperforms predicted field is the greatest indicator of MIPS performance

Data Criteria Filters:

  • age: Greater than 17
      • Filter out adolescent patients
  • No disqualified filter, as we need both the disqualified and qualified populations for visuals

Performance figure 3: Performance Report by NPI (list view) 

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Understanding the table:

 This table displays the eligible, exclusion, exception, and measure population for each therapist broken down by each functional measure ID. Within each breakdown, there is a comparison of FTP rates to the predicted and benchmark values displaying performance by the Practitioner.

Outperforms predicted field is the greatest indicator of MIPS performance.

Data Criteria Filters: 

  • age: Greater than 17
    • Filter out adolescent patients
  • No disqualified filter, as we need both the disqualified and qualified populations for visual

Performance figure 4: Performance Rate Report - Pain Measures

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Understanding the bar graph

This visual displays a comparison of the observed FTP rate, the predicted FTP rate, and FTP benchmark all by pain measure.

Data Criteria Filter: 

  • age: Greater than 17
    • Filter out adolescent patients
  • proms_completed : Greater than 1
  • disqualified: Equals 0
    • Filter out all disqualified patients

Performance figure 5: Performance Rate Report by TIN - Pain Measures

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Understanding the table

This table displays the eligible, exclusion, exception, and measure population for each organization broken down by each functional measure id. Within each breakdown, there is a comparison of FTP rates to the predicted and benchmark values displaying performance.

Data Criteria Filters:

  • age: Greater than 17
      • Filter out adolescent patients
  • No disqualified filter, as we need both the disqualified and qualified populations for visuals

Performance figure 6: Performance Report - Pain Measures by NPI (List View)

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Understanding the table: 

This table displays the eligible, exclusion, exception, and measure population for each practitioner broken down by each functional measure id. Within each breakdown, there is a comparison of FTP rates to the predicted and benchmark values displaying performance.

Data Criteria Filters:

  • age: Greater than 17
      • Filter out adolescent patients
  • No disqualified filter, as we need both the disqualified and qualified populations for visuals 

 

Process Reports
Use these reports to manage compliance which includes evaluating MIPS eligibility and collecting PROs from patients treated during the reporting year.
Process figure 1: Compliance rate
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Understanding the bar graph
This visual highlights how your organization’s average compliance rate compares to the 70% compliance rate benchmark. The compliance rate may be observed by location and by the practitioner.
Data Criteria Filter
  • age: Greater than 17
    •  Filter out adolescent patients
  • disqualified: Is False (Equals 0)
    •  Filters out patients who aren’t qualified

Process figure 2: Locations by Two or More PROS 

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Understanding the bar graph

This graph displays the percent of MIPS eligible patient cases where 2 or more PROS were completed by location.

Data Criteria Filters: 

  • age: Greater than 17
    •  Filter out adolescent patients
  • disqualified: Is False (Equals 0)
    •  Filters out patients who aren’t qualified

Process figure 3: Number of cases 2 or more PROS, no PROs, and one PRO by Practitioner 

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Understanding the tables

These tables present the total MIPS eligible patient cases by practitioners that have no PROS completed, one PROS completed, and two or more PROS completed. 

Data Criteria Filters: 

  • age: Greater than 17
    •  Filter out adolescent patients
  • disqualified: Is False (Equals 0)
    •  Filters out patients who aren’t qualified

Process figure 4: No PROS Completed Cases

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Understanding the table

This table replicates the information available in the Process Reports: patients with no completed PRO. The patients on this report are negatively impacting the compliance and the progression populations and should be used to intervene and ensure a first PRO is gathered.

Data Criteria Filters: 

  • age: Greater than 17
    •  Filter out adolescent patients
  • disqualified: Is False (Equals 0)
    •  Filters out patients who aren’t qualified 
  • proms completed: Equals 0
    • Filter for patients with 0 pros completed

Process figure 5: One PROS Completed Cases 

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Understanding the table:

Similarly, this table replicates the information available in the Process Reports: patients with 1 completed PRO. The patients on this report are negatively impacting the compliance and the progression populations and should be used to intervene and ensure a subsequent PRO is gathered.

Data Criteria Filters: 

  • age: Greater than 17
    •  Filter out adolescent patients
  • disqualified: Is False (Equals 0)
    •  Filters out patients who aren’t qualified 
  • proms completed: Equals 1
    • Filter for patients with 1 pro completed
Failure to Progress (FTP) Performance
The Failure to Progress by Patient will highlight performance by measure. 
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Understanding the bar and table data
The visuals on the left display each patient’s average score change by measure and the measure’s MCID. The tables on the right present the same information in addition to the classification answer, the first questionnaire completed date, the last questionnaire completed date, score change, and MCID.
FTP For Dash: Data Criteria Filters
  • measure: include DASH 
    • Ensure that the visual-only include patients related to the measure DASH
  • age: Greater than 17
    • Ensures all patients shown are adults
  • proms completed: Greater than 1
    • Includes all patients that have two plus proms completed
  • disqualified: Equals 0
    • Ensure that no disqualified patients are displayed on the dash

FTP for KOS: Data Criteria Filters 

  • measure: include KOS -Knee 
    • Ensure that the visual-only include patients related to the measure DASH
  • age: Greater than 17
    • Ensures all patients shown are adults
  • proms completed: Greater than 1
    • Includes all patients that have two plus proms completed
  • disqualified: Equals 0
    • Ensure that no disqualified patients are displayed on the dash

FTP for LEFS: Data Criteria Filters 

  • measure: include LEFS 
    • Ensure that the visual-only include patients related to the measure DASH
  • age: Greater than 17
    • Ensures all patients shown are adults
  • proms completed: Greater than 1
    • Includes all patients that have two plus proms completed
  • disqualified: Equals 0
    • Ensure that no disqualified patients are displayed on the dash

 FTP for MDQ: Data Criteria Filters

  • measure: include MDQ 
    • Ensure that the visual-only include patients related to the measure DASH
  • age: Greater than 17
    • Ensures all patients shown are adults
  • proms completed: Greater than 1
    • Includes all patients that have two plus proms completed
  • disqualified: Equals 0
    • Ensure that no disqualified patients are displayed on the dash

 FTP for NDI: Data Criteria Filters

  • measure: include NDI -Neck  
    • Ensure that the visual-only include patients related to the measure DASH
  • age: Greater than 17
    • Ensures all patients shown are adults
  • proms completed: Greater than 1
    • Includes all patients that have two plus proms completed
  • disqualified: Equals 0
    • Ensure that no disqualified patients are displayed on the dash
 
Individual Numbers

Use this report to see the case level details that make up individual MIPS reporting data.

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Understanding the table: 

This table displays data by the organization, location, patient, practitioner, and Episode of care. (Formerly known as Episode of Care Report (2020) & All Patient Performance (2019)

Data Criteria Filters: 

  • age: Greater than 17
    •  Filter out adolescent patients
  • proms completed: Greater than 1
    • Filters for all patients with more than 1 pro completed
  • disqualified: Equals 0
    • Filter out all disqualified patients (If the patient is disqualified they will not show up)
Improvement Activities
Use this report to identify the improvement activities your organization has currently satisfied. and the table measures participation in activities that improve clinical practice. 
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Understanding the data table
This table shows weight, activity ID, activity, activity name, activity description, and if the performance has been met.
Outcomes Average Change
This is a non-MIPS based report to help your organization understand how its average score change by measure is compared to MCID
Outcomes figure 1: Score Change by Organization vs Practioner 
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Understanding the bar graph

This visual graph will compare your organization’s average score change to the MCID score.

Data Criteria Filter:

  • age: Greater than 17
    •  Filter out adolescent patient
  • proms completed: Greater than 1
    • Filtering for patients with 2 or more pros completed
  • disqualified: Is False (Equals 0)
    •  Filters out patients who aren’t qualified

Outcomes figure 2: Change by Practitioner Table 

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Understanding the table

This visual allows you to view the same average score change for different practitioners’ and locations’ for each measure and classification as well as displaying the MCID score. Keet Outcomes Dashboard’s pivot table feature allows users to focus on different practitioners, and expand information about them.

Data Criteria Filters: 

  • age: Greater than 17
    •  Filter out adolescent patients
  • proms completed: Greater than 1
    • Filtering for patients with 2 or more pros completed
  • disqualified: Is False (Equals 0)
    •  Filters out patients who aren’t qualified