Running applications that use your Snowflake AI Data Cloud healthcare data while keeping everything secure can be challenging. Even if it’s low, there’s always some chance of your data being compromised when removed from your Snowflake account. Ensuring its safety and privacy concerns of dealing with patients’ data are paramount. That’s exactly why Snowflake created Native Apps, which are applications that run directly in your own private Snowflake bubble. With this new application format, companies are publishing applications designed for use cases in Healthcare and Life Science (HCLS) in mind.
In this blog, we’ll explain Native Apps, some of the strongest for healthcare, and some great HCLS datasets from the Snowflake Marketplace.
What are Snowflake Native Apps?
Native Apps are a relatively new feature from Snowflake. Companies can build applications directly in Snowflake for seamless use with its core functionality. They are meant to provide users with new tools for data analysis, visualizations, or even checking if their account is running as efficiently as possible.
What Are The Best Native Apps For HCLS?
LandingLens by Landing AI
LandingLens is the industry-leading AI Computer Vision software platform from the people at Landing AI. It is an end-to-end software platform designed for domain professionals and AI experts to quickly develop and deploy visual classification systems. LandingLens’ best feature is that it allows you to create and test computer vision AI projects in minutes with low/no code, making it an accessible and intuitive platform for users. There is no need for complex programming or AI knowledge to begin building a custom computer vision model. And now LandingLens is available as a Native App for even faster setup in your Snowflake account.Â
By using LandingLens as a Native App, you get the added benefits of:
Loading images directly from Snowflake to LandingLens so they never leave the security of Snowflake
Manage access to the app using Snowflake’s RBAC model
Utilize Snowflake’s other AI applications, such as Cortex Copilot, to get additional insights
Computer Vision and AI can assist medical professionals and manufacturers by identifying threats in medical devices, pharmaceutical drugs, and even human cells. With strict compliance standards in place, companies use Landing AI’s workflows to prevent compromised products from leaving their factory floor.Â
Landing AI’s Medical/Biotech/Pharma Use Cases Include:Â
Vial Contamination Inspection and CountingÂ
Nano-scale Medical Device InspectionÂ
Medical Seal InspectionÂ
Disease Detection & Diagnosis
Cell SortingÂ
Tracking, CFR 2.11 Validation
Patient Treatment Optimizer
With AI models becoming more prevalent, data scientists are finding interesting ways to use them to create customized patient treatment plans based on historical patient data. However, creating these models can be challenging and requires advanced data science skills. NTT Data has created a Native App in Snowflake that allows even a layman in data science to use their pre-built models for custom treatment plans for Type 2 Diabetes patients.Â
The app is connected to the data residing in Snowflake, allowing you to use the models without compromising the security of your patient’s data. This model can be used to identify relevant treatments for individual patients or even evaluate treatments at a broader level to see which ones are the most effective for the population of patients.
Ingraph by Innovaccer
As mentioned above, AI is getting very good at customizing treatments for patients, but it isn’t at the doctor’s level for everything. With so much patient data available, it can be difficult for healthcare professionals to comb through it all. Having a one-stop dashboard on a patient’s data can help paint a picture of how they’re doing and what treatment the doctor should suggest.Â
Innovaccer has created a Native App called Ingraph. This analytics solution combines integrated data from your Snowflake account to enable trend analysis, reporting, and monitoring in an easy-to-read dashboard. The dashboards and visualizations are fully customizable to track any number of over 800 measures of your patient’s health.
Marketplace Datasets For HCLS
Applications aren’t the only thing available within the Snowflake Marketplace. The Marketplace has a plethora of datasets that can be used to augment your patient data for your analytical and AI/ML use cases. Here are just a few datasets that are worth taking into consideration:
LandingAI Sample Data
To get started with LandLens, Landing AI offers some sample datasets so you can use them to test the software and see how proper images should be fed into the system. A sample dataset can help you get used to labeling and segmenting your images to get the most out of LandingLens. This dataset, for instance, lets you practice your LandingLens skills on X-rays of normal patients and those with pneumonia to try and detect pneumonia in patients.
COVID-19 Epidemiological Data
The marketplace has health-related datasets that can enhance or augment your analytics and AI applications. For example, the above dataset contains epidemiological data for COVID-19, including cases, vaccinations, and healthcare resource availability for the patients. There are many more datasets that you can integrate into your system in just a few minutes.
How to Get Marketplace Datasets
Fortunately, these and all the other datasets on the Marketplace will not use up any space in your account when you want to utilize them. All Marketplace data is available through Data Shares. This means no data is copied into your account, so you don’t have to pay any storage costs; you just incur compute costs when querying the data. Data Shares only allow for reading the data, so cloning the share or making any changes is off the table.
Closing
Snowflake Native Apps offer a powerful solution for leveraging patient data within applications without compromising data security. By running directly within your Snowflake environment, these apps provide a secure and efficient way to access and analyze your data. Native Apps aren’t going anywhere, and as more companies build them, with the extra privacy concerns of patient data, use cases for healthcare and life sciences will surely be at the forefront.
Contact us today to learn how our expertise can help you leverage Snowflake Native Apps to transform patient care and drive meaningful innovation in your organization.
FAQs
Can I create my own Native App for others to use?
Yes, you can create your own Native App to be put on the Marketplace. Snowflake has a quick start tutorial for building and publishing your first app. Apps can be written with a Streamlit app, stored procedures, and functions using the Snowpark API, JavaScript, and SQL. Snowflake even includes a testing environment to ensure it works before sending it off for the world to install.
How much do Native Apps cost?
It depends on the application. phData’s Advisor Tool app is free, but some require a one-time or monthly subscription.
