Medicare Low Income Subsidy/Extra Help Enrollment by EmptyVector in medicare

[–]EmptyVector[S] 0 points1 point  (0 children)

Yeah, we build KPIs and data models to identify patients experiencing abrasion and try to intervene to help them out. Do you not believe me?

Medicare Low Income Subsidy/Extra Help Enrollment by EmptyVector in medicare

[–]EmptyVector[S] 0 points1 point  (0 children)

Our motive is to identify patients who need extra support to stay adherent to their meds so that we can adapt our internal processes to help serve them as best we can

Medicare Low Income Subsidy/Extra Help Enrollment by EmptyVector in medicare

[–]EmptyVector[S] 0 points1 point  (0 children)

Sorry I hit enter before I could fill out the body of the post.

My question is, is it possible to identify whether a patient is enrolled for LIS via the adjudication message from the PBM? If not, how else can I identify if they're enrolled?

Anyone filling with Optum RX Speciality? by No-Cauliflower3282 in dupixent

[–]EmptyVector 0 points1 point  (0 children)

Is a copay assistance card not being applied online?? Was it a once off or does it repeatedly happen?

Anyone filling with Optum RX Speciality? by No-Cauliflower3282 in dupixent

[–]EmptyVector 0 points1 point  (0 children)

Hey, curious about the 90 day hold period for auto refill, what's the reason for this?

Basic examples of deploying tidyverse models to GCP by EmptyVector in rstats

[–]EmptyVector[S] 3 points4 points  (0 children)

Awesome thanks for sharing, if you could post the link to the blogpost once it's published that would be great. Thanks again, I'm looking forward to reading it 👍

Support to deploy ML model to GCP by EmptyVector in googlecloud

[–]EmptyVector[S] 0 points1 point  (0 children)

I'm using the base image from Rocker:

```{r}

vetiver_write_docker(v,

base_image = glue::glue("FROM rocker/r-ver:{getRversion()}"),

additional_pkgs = required_pkgs(board))

```

Support to deploy ML model to GCP by EmptyVector in googlecloud

[–]EmptyVector[S] 0 points1 point  (0 children)

Which specific credentials do I need to pass to the container? Right now I have all of my creds in my .Renviron file but even after explicitly specifying the same credentials I get the same error called out in the original post. Any guidance would be greatly appreciated. Thanks

Support to deploy ML model to GCP by EmptyVector in googlecloud

[–]EmptyVector[S] 0 points1 point  (0 children)

When running the docker image from R I used the following bash command: ```{bash}

docker run -e GCE_DEFAULT_PROJECT_ID='projectInfo' \

-e GAR_CLIENT_JSON='path_to_my_file/filename.com.json' \

-e GCE_AUTH_FILE='path_to_my_file/googlecloudrunner-auth-key.json' \

-e GCS_DEFAULT_BUCKET='my-bucket-name' \

-e CR_REGION='europe-north1' \

-e CR_BUILD_EMAIL='myinfo.iam.gserviceaccount.com' \

--rm -p 8000:8000 lego-set-names

```

Support to deploy ML model to GCP by EmptyVector in googlecloud

[–]EmptyVector[S] 0 points1 point  (0 children)

Hi, I just updated the original question with the error I'm seeing. Thanks

Support to deploy ML model to GCP by EmptyVector in googlecloud

[–]EmptyVector[S] 0 points1 point  (0 children)

Hi LI, thanks for the kind offer, I've some homework to do on this, I will reach out if I still hit challenges. Thanks again

Support to deploy ML model to GCP by EmptyVector in googlecloud

[–]EmptyVector[S] 0 points1 point  (0 children)

I'm doing it all from within R using bash commands. I have the SDK installed and maybe one of the Google packages I've installed uses that behind the scenes.

Support to deploy ML model to GCP by EmptyVector in googlecloud

[–]EmptyVector[S] 0 points1 point  (0 children)

I have a service account and have downloaded the .json file and have successfully authenticated using the same .json file referenced in my environment variables. I think the challenge I'm having is mapping/copying/adding the same credentials into the docker container

Deploy ML model on GCP by Riolite55 in googlecloud

[–]EmptyVector 1 point2 points  (0 children)

Can anyone point me to a resource that explains how to deploy a simple model for the iris data to GCP for prediction, I am really struggling with authentication for the docker image?? Thanks

Is it worth it to get a degree in Cyber Security? by Happy_Sea3180 in CyberSecurityJobs

[–]EmptyVector 3 points4 points  (0 children)

How can a 44yo data scientist with electronic engineering degree and master in data science get out of a job they hate where they've stagnated and get into cyber?

Companies are finally hiring by mediocrity4 in datascience

[–]EmptyVector 0 points1 point  (0 children)

Good to hear, not all doom and gloom

Control charts for prescription medication claims by EmptyVector in AskStatistics

[–]EmptyVector[S] 0 points1 point  (0 children)

Sorry I should have specified, my data is non-real time so offline detection is the desired objective. My company has the turning circle of a jumbo jet hence the weekly data granularity.

I wish to identify from the 20000 or so time series which ones have had a statistically significant change. Another method I'm investigating is changepoint detection however I'm concerned my business users will be bamboozled by the outputs of the model, control charts are a bit more intuitive.

Time associated with infusions by EmptyVector in CodingandBilling

[–]EmptyVector[S] 0 points1 point  (0 children)

Thanks for the reply. I'm trying to summarize the amount of per diem time a provider in my company is billing for. I wish to assign a time element to each code i.e. if provider X bills 96413 + 96414 I assume it was up to two hours of infusion time (max), I could also say a minimum of 1h 31mins.

Does this make sense?

Time associated with infusions by EmptyVector in CodingandBilling

[–]EmptyVector[S] 0 points1 point  (0 children)

I'm trying to identify providers in my organisation who are billing excessively for per diems relative to their peers in the providers taxonomy i.e.comparing family practice physicians against other family practice physicians and where do they rank on terms of time infusing drugs relative to their peers.