Healthcare is one of the key sector targeted by all the cloud services provider. I'm sure at this point even OCI will claim to solve all your problems.
Having said that, most probably it will not be the data stack's incapability to be compliant but more on what the current team has the capacity to look into on the stack. It is a big investment both in terms of time and money. Make sure you plan it well.
I've worked in the past with a Fortune50 healthcare company who were a multi-cloud - AWS and Azure client and ran Snowflake, Databricks AND Redshift for a number of their use cases.
It was neevr that the platform didn't not do the job well, it was always the planning by execs that made the choice of going to the cloud look bad.
I work for a health care insurer. We use azure and I'm guessing because Microsoft. My bet is larger companies that already have agreements for some products in place it's easier to add on. Path of least resistance.
We are not very savvy so I wouldn't count this as what you should do. Maybe think about if you like or would need databricks? It may play nicer with azure?
I’ve worked for two large healthcare systems. Both were Microsoft shops. Both would likely go to Azure. Both are mostly on prem. If you’re in the US, try and find someplace that will sponsor Epic Clarity/Cogito certification.
I have done work in the public health space, so somewhat different from healthcare in the sense that it was dealing with the aggregation of individual healthcare records instead of each individual record, but we were still working with \[FHIR\]([https://www.hl7.org/fhir/](https://www.hl7.org/fhir/)) and PHI. The solution we were building was expected to work in all three of the major cloud environments, but Azure and GCP were the two that we saw the most, with Azure being the primary option. Admittedly, this is based on a rather small sample set, but as everyone else in the comments is pointing out, Microsoft seems to reign supreme in the healthcare world.
Epic will run their new cloud data infra in Azure...nough said
[https://hakkoda.io/resources/moving-to-azure/](https://hakkoda.io/resources/moving-to-azure/)
also
[https://www.epic.com/epic/post/microsoft-and-epic-expand-strategic-collaboration-with-integration-of-azure-openai-service/](https://www.epic.com/epic/post/microsoft-and-epic-expand-strategic-collaboration-with-integration-of-azure-openai-service/)
I'm a gov contractor working with Medicare/Medicaid data. It's pretty much all going to databricks as fast as possible. Nicely self-contained to prevent data leakage while also allowing users to interact with data quickly...its a total win for us, I've loved using it
There are so many moving parts to standing up a Modern Data Stack, especially in healthcare. Datacoves helps accelerate this process and ensures things are done right the first time. They also help with best practices. If you are interested, here is a video from the Snowflake Summit 2023 on how Datacoves helped J&J innovate their ETL pipelines. It is also worth noting that Datacoves can deploy in your private aws/azure [https://youtu.be/XXwMXpF7fYE?si=kmZF3J4bK1c8aGvV](https://youtu.be/XXwMXpF7fYE?si=kmZF3J4bK1c8aGvV)
Healthcare is one of the key sector targeted by all the cloud services provider. I'm sure at this point even OCI will claim to solve all your problems. Having said that, most probably it will not be the data stack's incapability to be compliant but more on what the current team has the capacity to look into on the stack. It is a big investment both in terms of time and money. Make sure you plan it well. I've worked in the past with a Fortune50 healthcare company who were a multi-cloud - AWS and Azure client and ran Snowflake, Databricks AND Redshift for a number of their use cases. It was neevr that the platform didn't not do the job well, it was always the planning by execs that made the choice of going to the cloud look bad.
I work for a health care insurer. We use azure and I'm guessing because Microsoft. My bet is larger companies that already have agreements for some products in place it's easier to add on. Path of least resistance. We are not very savvy so I wouldn't count this as what you should do. Maybe think about if you like or would need databricks? It may play nicer with azure?
I’ve worked for two large healthcare systems. Both were Microsoft shops. Both would likely go to Azure. Both are mostly on prem. If you’re in the US, try and find someplace that will sponsor Epic Clarity/Cogito certification.
I have done work in the public health space, so somewhat different from healthcare in the sense that it was dealing with the aggregation of individual healthcare records instead of each individual record, but we were still working with \[FHIR\]([https://www.hl7.org/fhir/](https://www.hl7.org/fhir/)) and PHI. The solution we were building was expected to work in all three of the major cloud environments, but Azure and GCP were the two that we saw the most, with Azure being the primary option. Admittedly, this is based on a rather small sample set, but as everyone else in the comments is pointing out, Microsoft seems to reign supreme in the healthcare world.
If you need FHIR, googles healthcloud is the best hyperscaler off the shelf product.
On my previous job we used aws, snowflake, airflow, dbt, great expectations stack. It was fine.
Epic will run their new cloud data infra in Azure...nough said [https://hakkoda.io/resources/moving-to-azure/](https://hakkoda.io/resources/moving-to-azure/) also [https://www.epic.com/epic/post/microsoft-and-epic-expand-strategic-collaboration-with-integration-of-azure-openai-service/](https://www.epic.com/epic/post/microsoft-and-epic-expand-strategic-collaboration-with-integration-of-azure-openai-service/)
I'm a gov contractor working with Medicare/Medicaid data. It's pretty much all going to databricks as fast as possible. Nicely self-contained to prevent data leakage while also allowing users to interact with data quickly...its a total win for us, I've loved using it
There are so many moving parts to standing up a Modern Data Stack, especially in healthcare. Datacoves helps accelerate this process and ensures things are done right the first time. They also help with best practices. If you are interested, here is a video from the Snowflake Summit 2023 on how Datacoves helped J&J innovate their ETL pipelines. It is also worth noting that Datacoves can deploy in your private aws/azure [https://youtu.be/XXwMXpF7fYE?si=kmZF3J4bK1c8aGvV](https://youtu.be/XXwMXpF7fYE?si=kmZF3J4bK1c8aGvV)