Difference between revisions of "Optimization and you"
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[[Category:Webcasts]] | [[Category:Webcasts]] | ||
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| + | ==Description== | ||
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| + | This webcast will take a look at the reasons to optimize as well as the areas to focus on as well as tools used to evaluate. | ||
| + | |||
==Webcast Materials== | ==Webcast Materials== | ||
[[Media:Optimization_and_You.pdf | Presented 2/27/15]] | [[Media:Optimization_and_You.pdf | Presented 2/27/15]] | ||
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| + | ==Q&A== | ||
| + | |||
| + | '''Q: How long does the Optimization Process take?''' | ||
| + | |||
| + | '''A:''' Depending on the size of the practice, between analysis, observation and review, coming up with the plan (and getting it approved) and then finally implementing that plan, it could take anywhere from a couple of months to a year. There are a lot of factors involved in determining the total length of time needed. | ||
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| + | '''Q: Can optimizing really set up a clinic for PCMH certification and how closely tied is it with MU?''' | ||
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| + | '''A:''' Well, first off, absolutely optimizing your clinic can set you up to obtain PCMH recognition. One of the important benefits of electronic health records (EHRs) and EHR optimization is that achieving meaningful use can position your organization at the forefront of the ever changing health care landscape. PCMH initiatives are not only closely aligned with components of the CMS Meaningful Use Program, there is actually considerable overlap between the meaningful use and the establishment of a patient centered medical home. | ||
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| + | '''Q: How did Galen develop these scripts used to gather the data?''' | ||
| + | |||
| + | '''A:''' In all honesty, it was Trial and Error. We have a great team that really understands the database side of the different applications. They had some ideas on what data could be pulled from the system, so that was used as the starting point. After the first few rounds of gathering data, some folks started thinking outside the box and found a way to break it down to the granular level that we use now. | ||
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| + | '''Q: When you break down the tasking by user, what is this data typically used for? Is this ever shared with the user?''' | ||
| + | |||
| + | '''A:''' For starters, on the optimization side it helps us get a better understanding of how an office may be doing with their tasking. If there is a large gap between users in the same office, it gives us an idea of what users may need a little more help getting comfortable in the system. | ||
| + | |||
| + | As for sharing this data with the user, that is an organizational decision. Some organizations have used this data to help with employee evaluations. Others have taken the reports, met with the staff individually, and then used the overall office averages in their team meetings. It really depends on how your organization best feels this information can be utilized. | ||
Latest revision as of 20:43, 16 September 2015
Description
This webcast will take a look at the reasons to optimize as well as the areas to focus on as well as tools used to evaluate.
Webcast Materials
Q&A
Q: How long does the Optimization Process take?
A: Depending on the size of the practice, between analysis, observation and review, coming up with the plan (and getting it approved) and then finally implementing that plan, it could take anywhere from a couple of months to a year. There are a lot of factors involved in determining the total length of time needed.
Q: Can optimizing really set up a clinic for PCMH certification and how closely tied is it with MU?
A: Well, first off, absolutely optimizing your clinic can set you up to obtain PCMH recognition. One of the important benefits of electronic health records (EHRs) and EHR optimization is that achieving meaningful use can position your organization at the forefront of the ever changing health care landscape. PCMH initiatives are not only closely aligned with components of the CMS Meaningful Use Program, there is actually considerable overlap between the meaningful use and the establishment of a patient centered medical home.
Q: How did Galen develop these scripts used to gather the data?
A: In all honesty, it was Trial and Error. We have a great team that really understands the database side of the different applications. They had some ideas on what data could be pulled from the system, so that was used as the starting point. After the first few rounds of gathering data, some folks started thinking outside the box and found a way to break it down to the granular level that we use now.
Q: When you break down the tasking by user, what is this data typically used for? Is this ever shared with the user?
A: For starters, on the optimization side it helps us get a better understanding of how an office may be doing with their tasking. If there is a large gap between users in the same office, it gives us an idea of what users may need a little more help getting comfortable in the system.
As for sharing this data with the user, that is an organizational decision. Some organizations have used this data to help with employee evaluations. Others have taken the reports, met with the staff individually, and then used the overall office averages in their team meetings. It really depends on how your organization best feels this information can be utilized.