Performance Improvement Project Proposal
Your proposal needs to include enough basic information that I can judge the feasibility of your project, its specific area of focus, anticipate potential pitfalls and obstacles for you, and supply cogent feedback.
To give you an idea of how this might be accomplished, consider that I am proposing a PI project related to outpatient hospital and physician coding in Tricare and ChampVA lines of business. You would need to know more about my proposal to have any real sense of what I’m studying and why I suspect (or perhaps know) quality improvement opportunities exist in this process.
If I supply background, this helps to contextualize the proposal.
Background: The Health Information Management (HIM) department recently obtained responsibility for all professional coding services for Tricare and ChampVA physician and outpatient hospital services. So far our department has been unable to consistently measure the accuracy of our coding for these lines of business. Since coding accuracy is considered a high-visibility regulatory affair, and because for our facility Tricare and ChampVA are also high-volume, the possibility of error and unmitigated risk deserve closer inspection.
Next, I supply a general framework for how coding accuracy might be measured. (Keep in mind that this process may not be as straightforward for your study. This is a proposal, so that leaves the possibility for details or methods to change as we go along.)
This performance improvement proposal means to draw on the plethora of diagnostic and procedural coding data for the past six months, which corresponds with the length of time HIM has held direct oversight of the duties and processes. For each month of the past six, an aggregate coding accuracy rate will be calculated. Trends and patterns of coding errors will be tracked by month and eventually included as part of the final report. A conglomerate coding accuracy rate will be calculated from all six months of data, and this will represent current performance.
Also, take note that in these brief statements, I’ve been able to point toward the justifications of the PI project. I discuss the high visibility and high volume nature and surmise that error and risk are not yet known–a reason for conducing this study. Now, you may need to explain why your PI topics are error-prone, high-risk, high-visibility, or high-volume; in fact, there is no requirement that your PI project be any of those things. Still, you should attempt to justify why the project is worthwhile. (Incidentally, for workers in administrative health care functions my claim that coding accuracy is high visibility is self-evident, so I don’t need to further support those claims.)
If you have additional information on your PI topic, feel free to include it. You don’t have to reference benchmarks, as you may not know where to find those yet. You may also not know exactly what to use as a “performance measure,” though you should probably allude to the possibilities.
To give you an idea of how this might be accomplished, consider that I am proposing a PI project related to outpatient hospital and physician coding in Tricare and ChampVA lines of business. You would need to know more about my proposal to have any real sense of what I’m studying and why I suspect (or perhaps know) quality improvement opportunities exist in this process.
If I supply background, this helps to contextualize the proposal.
Background: The Health Information Management (HIM) department recently obtained responsibility for all professional coding services for Tricare and ChampVA physician and outpatient hospital services. So far our department has been unable to consistently measure the accuracy of our coding for these lines of business. Since coding accuracy is considered a high-visibility regulatory affair, and because for our facility Tricare and ChampVA are also high-volume, the possibility of error and unmitigated risk deserve closer inspection.
Next, I supply a general framework for how coding accuracy might be measured. (Keep in mind that this process may not be as straightforward for your study. This is a proposal, so that leaves the possibility for details or methods to change as we go along.)
This performance improvement proposal means to draw on the plethora of diagnostic and procedural coding data for the past six months, which corresponds with the length of time HIM has held direct oversight of the duties and processes. For each month of the past six, an aggregate coding accuracy rate will be calculated. Trends and patterns of coding errors will be tracked by month and eventually included as part of the final report. A conglomerate coding accuracy rate will be calculated from all six months of data, and this will represent current performance.
Also, take note that in these brief statements, I’ve been able to point toward the justifications of the PI project. I discuss the high visibility and high volume nature and surmise that error and risk are not yet known–a reason for conducing this study. Now, you may need to explain why your PI topics are error-prone, high-risk, high-visibility, or high-volume; in fact, there is no requirement that your PI project be any of those things. Still, you should attempt to justify why the project is worthwhile. (Incidentally, for workers in administrative health care functions my claim that coding accuracy is high visibility is self-evident, so I don’t need to further support those claims.)
If you have additional information on your PI topic, feel free to include it. You don’t have to reference benchmarks, as you may not know where to find those yet. You may also not know exactly what to use as a “performance measure,” though you should probably allude to the possibilities.
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