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AI
Developments of AI in Healthcare
To try and predict how useful AI may prove in healthcare, it is useful to first understand the types of problems were it may be helpful. There are a number of ways in which scientist and engineers can classify problems, but the four most important for this discussion
1) whether we have a good understanding of the problem (i.e., can we model it mathematically),
2) how many variables there are,
3) whether there is an underlying structure to the data, and
4) how much data we have on a given problem and it's quality.
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Medical Devices and Applications
Regulation and Safety of Medical Apps
At the time of writing, there are probably around 500,000 medical "apps" (i.e., software tools) on the 'market' (in quotes, since some may be free, albeit nothing is really free). Some are designed to be used by patients, others by clinicians. This article assesses the regulatory environment and evidence on their safety w.r.t. privacy and data integrity. While current regulations seem to be enough to ensure data integrity at the healthcare provider level, the weak link seems to be in third party apps that allow patients to interact with the providers data.
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FDA Recalls
Coding
Place of Service Code 31 vs Place of Service Code 32
Place of Service Code 31 vs Place of Service Code 32
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Coding
Update for the Appropriate Use of the JZ Modifier
The JZ modifier will show Medicare if providers are using pharmaceuticals efficiently by identifying the amount of unused and discarded drugs from single-dose containers or single-use packages. One way to remember the correct use of these drugs is waste vs zero-waste.
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MIPS
Medicare has published the finalized Policy Changes to MIPS for 2024
A number of proposed changes were finalized, and some were not finalized.
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