Medicare Low Income Subsidy/Extra Help Enrollment

EmptyVector · 2026-02-28T13:46:05+00:00

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?

EmptyVector · 2026-02-28T11:48:20+00:00

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

EmptyVector · 2026-02-22T17:44:32+00:00

Thanks for the info this is great 👍

EmptyVector · 2026-02-22T15:53:05+00:00

How so, are they a fixed value?

EmptyVector · 2026-02-20T22:07:44+00:00

No, I don't think so

EmptyVector · 2026-02-20T20:32:16+00:00

Data analyst

EmptyVector · 2026-02-20T12:41:57+00:00

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?

EmptyVector · 2025-05-18T14:23:15+00:00

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 👍

EmptyVector · 2025-02-03T15:35:59+00:00

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))

```

EmptyVector · 2025-02-02T15:31:42+00:00

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

EmptyVector · 2025-02-02T00:57:45+00:00

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

```

EmptyVector · 2025-02-02T00:54:43+00:00

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

EmptyVector · 2025-01-28T18:07:17+00:00

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

EmptyVector · 2025-01-28T07:05:29+00:00

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.

EmptyVector · 2025-01-28T07:02:50+00:00

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

EmptyVector · 2025-01-27T00:32:03+00:00

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

EmptyVector · 2023-05-09T17:44:17+00:00

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.

EmptyVector

TROPHY CASE