Medical Data Breakthrough: Google Aids PicnicHealth's Growth - Build What's Next
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Medical Data Breakthrough: Google Aids PicnicHealth’s Growth

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Explore how PicnicHealth leverages Google Workspace and Google Cloud to revolutionize healthcare data management, accelerate their growth, and optimize patient care across the US. Learn more...

In the fragmented world of U.S. healthcare, patients often have to wait in line or on hold, navigate multiple patient portals, and fill out numerous request forms—all in pursuit of their own medical history. Healthcare technology startup PicnicHealth is on a mission to put control back with the patient, where it belongs.

PicnicHealth’s growth, from closing successful venture rounds to winning machine learning (ML) competitions, speaks to not only improvements and opportunities in healthcare, but also how startups are leveraging Google Workspace and Google Cloud services to accelerate momentum.

The company does the heavy lifting of collecting records and leverages human-in-the-loop ML to transcribe and validate them with an abstraction team of medical professionals. The records are then structured into a complete medical history that patients can access and share with providers to get better care.

But PicnicHealth helps to improve patient health on more than one front. It allows patients to contribute their data to de-identified medical research, building high-quality, anonymized datasets that researchers and life sciences companies can use to better understand disease progression and treatment in the real world.

Google Workspace has been part of PicnicHealth from day one, helping the founders collaborate and shape the company’s vision using cloud-synced documents and spreadsheets to collaborate and model predictions. “I’ve had a Gmail account since 2006, and in college 100% of people worked out of Google Docs. Workspace continues to be the best choice for online collaboration, and that’s why it’s still the default standard for startups,” said Troy Astorino, CoFounder & CTO of PicnicHealth. “When we started PicnicHealth, my co-founder Noga Leviner was in San Francisco and I was in Southern California, and of course we used Workspace.”

Today, Google Workspace continues to play a central role in the company’s collaboration. “We create design documents in Google Docs, primarily for engineering and product changes, and get really healthy, vibrant discussions through comments,” noted Astorino. “This practice has grown beyond engineering and is used for everything from how the company operates to communication norms.”

Google Workspace offers everything the team needs to collaborate, no matter where employees are. PicnicHealth’s team has spread from San Francisco to being distributed across the country and around the world. Instant collaboration is crucial.

“We work in a complex domain where people need a lot of information to make good decisions,” said Astorino. “Google Workspace allows us to operate in a mode of default transparency, where people can easily get the information they need even if it wasn’t intentionally or directly shared with them. Whether it’s working in Docs or scheduling in Calendar, we can operate much more effectively than we could otherwise.”

By any measure, PicnicHealth’s trajectory is one of record success. The startup is a 2014 alumni of Y Combinator, a program that helped launch household names like Airbnb, DoorDash, and Dropbox. Three years later, the team went on to win the $1 million grand prize at Google’s Machine Learning Competition. And the momentum has continued— PicnicHealth has recently announced a $60 million Series C round, bringing the amount raised to date to over $100 million. With the Series C, PicnicHealth is investing in expanding its reach to more patients across over 30 diseases.

As a healthcare startup, PicnicHealth faced a very particular set of challenges, especially when working with and accessing data. Data fragmentation and interoperability are only some of the challenges of realizing the value of big data in the cloud. The healthcare industry is notoriously difficult to navigate due to sensitive data protection laws and regulations like the Health Insurance Portability and Accountability Act (HIPAA).

PicnicHealth started in the cloud on Amazon Web Services (AWS). However, after migrating over to Kubernetes and facing an expanding list of requirements for HIPAA compliance, the company started to explore alternatives.

“We needed to be HIPAA compliant, which was going to be painful on AWS, and we wanted to get away from managing and operating our own Kubernetes clusters,” recalled Astorino. “We had heard good things about GKE (Google Kubernetes Engine). And particularly valuable for us, — many technical requirements you need for HIPAA compliance are configured by default on Google Cloud.”

PicnicHealth would have had to implement a lot of changes and get specialized instance types to get their existing configuration to work. So, they began experimenting with Google Cloud and discovered a much smoother experience.

“It was a lot easier to manage in terms of product setup and developer experience,” said Astorino. “There is a sane product hierarchy of resources you can access and use through Google Cloud and the relationships between them, from coordinated IAM (identity and access management) to using Google Groups for granting permissions. Overall, it’s cleaner.”

Astorino added that the move has also opened the doors to taking advantage of other services in the Google Cloud ecosystem like Cloud SQL, BigQuery, and Cloud Composer. PicnicHealth also uses Security Command Center because it easily integrates with everything but also helps meet various compliance frameworks’ requirements, providing visibility, near-real-time asset discovery, and security information and event management.

But most importantly, the integrated ecosystem has simplified the work needed for PicnicHealth to create a secure environment for employees to use when working with sensitive medical records while still providing all the tools they need. For example, abstractors not only use Google Workspace but also have Chromebooks because they are easy to manage and secure.

Altogether, Google Cloud helps form a technology stack that has enabled the startup to build a massive labeled dataset containing over 100 million labeled medical data concepts. In turn, it accelerates PicnicHealth’s ability to generate highly-performant AI models and feed other ML pipelines, which has been vital for processing and reviewing data at scale.

To learn more about how Google Workspace and Google Cloud help startups like PicnicHealth accelerate their journey, visit our startups solutions pages for Google Workspace and Google Cloud.

E-book

MIT Cloud Security Confidence Report: An Evolution Worth Noting

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The age of unthinking fears about cloud security is over. Not only is cloud adoption rising steadily across geographies, industries and job functions, but confidence in cloud security is rising as well — to the point where increased security is a major reason enterprises opt for cloud solutions.

Gone are the days when organizations accessed applications and infrastructure over the internet only because it was the least expensive way to scale compute, storage and networking resources as business needs changed. The cloud today is a strategic necessity, with increased agility, integration and speed (as well as security) being the prime drivers of its increased adoption.

This MIT SMR survey of security professionals studies trends in security, which workloads are seeing the highest cloud utilization, the steady growth of comfort with cloud security–and interestingly paints a picture of the executives who are holding out with regards to cloud security.

Download the report now!

Explainer

What’s Google Cloud Firestore Database and What are it’s Benefits for Business and Developers?

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Cloud Firestore is a fast, fully managed, serverless, cloud-native NoSQL document database that simplifies storing, syncing, and querying data for your mobile, web, and IoT apps at global scale. Find out why businesses love it.

Cloud Firestore is a NoSQL document database that simplifies storing, syncing, and querying data for your mobile and web apps at global scale.

Cloud Firestore is a fast, fully managed, serverless, cloud-native NoSQL document database that simplifies storing, syncing, and querying data for your mobile, web, and IoT apps at global scale.

Its client libraries provide live synchronization and offline support, while its security features and integrations with Firebase and Google Cloud Platform (GCP) accelerate building truly serverless apps.

Here’s other stuff it’s good at:

Sync data across devices, on or offline

With Cloud Firestore, your applications can be updated in near real time when data on the back end changes. This is not only great for building collaborative multi-user mobile applications, but also means you can keep your data in sync with individual users who might want to use your app from multiple devices.

With Firebase Realtime Database, we felt we had built the best force-plate testing software on the market. Thanks to Cloud Firestore, in only two weeks, we built a system that’s significantly better and includes features we never thought possible to ship on Day 1.

Chris Wales, CTO, Hawkin Dynamics

Cloud Firestore has full offline support, so you can access and make changes to your data, and those changes will be synced to the cloud when the client comes back online. Built-in offline support leverages local cache to serve and store data, so your app remains responsive regardless of network latency or internet connectivity.

Simple and effortless

Cloud Firestore’s robust client libraries make it easy for you to update and receive new data while worrying less about establishing network connections or unforeseen race conditions. It can scale effortlessly as your app grows. Cloud Firestore allows you to run sophisticated queries against your data. This gives you more flexibility in the way you structure your data and can often mean that you have to do less filtering on the client, which keeps your network calls and data usage more efficient.

Enterprise-grade, scalable NoSQL

Cloud Firestore is a fast and fully managed NoSQL cloud database. It is built to scale and takes advantage of GCP’s powerful infrastructure, with automatic horizontal scaling in and out, in response to your application’s load. Security access controls for data are built in and enable you to handle data validation via a configuration language.

Case Study

Google Cloud and Univision Partnership to Up the Ante in UX for Spanish-speaking Audience

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Consumption of content from streaming platforms grew exponentially in the last year, driving entertainment and media platforms to make meaningful usage of audience data for personalization, better UX and enhanced viewing experience. Spanish-language content and media company, Univision leveraged Google Cloud's AI, ML and data analytics tools to unveil useful insights that enhance engagement of it's global, Spanish-speaking audience.

The past year has given everyone lots to think about—about our priorities as people and as businesses. As the world retreated behind closed doors, we saw how shared interests and experiences can bring us together. As the world grappled with a common enemy, we witnessed just how differently individuals, communities and indeed entire countries can experience a situation. And as we faced seemingly unending obstacles to making it through the pandemic, we saw how making smart decisions based on data can drive meaningful solutions—fast.

That’s why we here at Google Cloud are so proud to partner Univision, the country’s leading Spanish-language content and media company. By partnering with Google Cloud, Univision will be able to accelerate growth across its portfolio of properties, deliver an enhanced user experience for Spanish-speaking audiences and provide the enterprise solutions needed to create the Spanish-language media company of the future.

According to Instituto Cervantes, there are over 580 million Spanish language speakers worldwide. Those viewers, like people everywhere, are avid consumers of streaming content. In Q4 of 2020 alone, viewing time for that content increased by 44%1, and in 2020, from 50%2 more sources. With that surge in demand, Univision needed a cloud provider whose infrastructure could reach Hispanic viewers around the world. With two-plus decades spent building out its network and data centers, as well as global content-delivery capabilities, Google Cloud has the infrastructure Univision needs to reach viewers across the Spanish-speaking world.

At the same time, with such a diverse audience for their content, Univision needs to target that content to viewers’ specific preferences. By applying Google Cloud’s artificial intelligence (AI) and machine learning (ML) technology across its content, Univision intends to personalize content based on shows users have previously watched, enhancing their engagement and viewing experience. 

And as Univision transforms the user experience, it can use Google Cloud’s data and analytics suite to garner deeper insights into its audience and forge stronger relationships with them on an individual basis. With Looker and BigQuery, Univision employees will have access to real-time data to help them make business decisions about programming.

Univision will also migrate video distribution and production operations to Google Cloud, where we’ll help them streamline media workflows and develop innovative new capabilities. Meanwhile, Google Cloud’s tight business and technical integration with other Google services will help ensure Univision reaches viewers on the device of their choice, wherever they are in the world. For example, in the coming years, Univision will expand its global YouTube partnership and will integrate with entertainment features on Google Search that help people better discover TV shows and movies. The company will also use Google Ad Manager for global ad decisioning and Google’s Dynamic Ad Insertion for PrendeTV and future video-on-demand offerings. Finally, Univision will distribute its content and services on Google Play across Android phones and tablets, as well as Google TV and other Android TV OS devices.

We’re thrilled to partner with Univision to help them reach the Spanish-speaking world with their content. With our cloud portfolio, we can help them reach individual viewers around the world, with personalized content that they can consume however they see fit. Best of all, together, we can help them achieve this vision fast, leveraging established cloud, content delivery, and data analytics technologies. You can learn more about the partnership here.

Case Study

Grofers Turns to Google Cloud for Building Delivery System

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The number of deliveries Grofers fulfilled was growing at the rate of 10 times a month, and its delivery system was struggling under the stress. It then turned to Google Cloud Platform and built a new backend for its delivery system using Google App Engine and achieved stunning results.

About Grofers

Grofers is an India-based local mobile e-commerce platform that delivers groceries, fruits and vegetables, cosmetics and electronics. Customers use Grofers’ mobile app to shop for products from local stores in 17 cities in India.

Industries: Services
Location: India

Google Cloud Results

  • Scaled from 10,000 orders to more than 70,000 orders a day
  • Increased the average number of deliveries per driver from five to nearly 15
  • Maintains 100 percent uptime
Scale quickly to keep up with its rapid growth.

India-based Grofers is a hyperlocal mobile platform that delivers groceries, fruits and vegetables, cosmetics and electronics. Customers use Grofers’ mobile app to shop for products from local stores in 17 cities in India.

In 2015, the number of deliveries Grofers fulfilled was growing at the rate of 10 times a month, and its delivery system struggled under the stress. When traffic spiked on weekends, its database frequently crashed. Fulfilling and delivering orders depended on manual processes such as telephone calls. Grofers needed a solution that would allow it to quickly scale and improve its delivery process.

“Our customer experience and reputation were taking a hit because our logistics system couldn’t keep up with the number of orders being placed. We chose Google Cloud Platform because it scales instantly from one thousand orders to one million orders while offering tools for quickly developing powerful apps.”
-Rohit Prakash, Associate Vice President of Engineering, Grofers

Building an entire backend in two weeks

When Grofers launched in 2013, the logistics system was entirely manual. Staff at the headquarters called delivery drivers with order details and delivery addresses. Drivers then decided what order to pick up goods from local merchants. With a small number of customers and orders, that wasn’t a problem. But the manual system couldn’t handle growth. Grofers recognized it had to automate the system.

To do that, it turned to Google Cloud Platform. Grofers built a new backend for its delivery system using Google App Engine. When an order arrives, the new system looks at the status of all drivers — including their current location, the order he’s completing, and the pickup and delivery locations on the route. Based on that information, the system calculates the optimal driver for each order and sends the driver the order via a mobile app.

The system also takes advantage of Google Cloud Endpoints, which generates libraries for Javascript, iOS and Android. Grofers used Google Cloud Endpoints to create mobile apps to communicate with its delivery staff.

“In only two weeks, I built the entire backend, including the mobile apps, using Google App Engine. It’s extremely easy to use and has no learning curve. I didn’t have to hire dedicated app experts, which saved us time and money.”
-Rohit Prakash, Associate Vice President of Engineering, Grofers

Scaling fast, dramatically improving delivery metrics

With the new backend and mobile apps, Grofers can scale quickly to keep up with its rapid growth. Grofers now delivers 70,000 orders per day, up from 10,000 before the GCP deployment, and has had 100 percent uptime. Each driver handles an average of 15 orders per day, compared to only five previously, letting Grofers handle more work with less staff. All this has been accomplished at very low cost: Prakash says that GCP costs account for only two percent of the company’s infrastructure spending. Without GCP, Prakash says the backend would be far more expensive and account for up to 50 percent of the company’s infrastructure expenses.

“With Google Cloud Platform we had a very small learning curve and no setup time. We now have a low-cost platform that can handle 70,000 orders per day and more no matter how large we grow.”
-Rohit Prakash, Associate Vice President of Engineering, Grofers
Blog

Consumption Packs Shorten’s Customers Transition to Google Cloud and Boosts Partners’ Financial Growth

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Google Cloud took partners' feedback to create packages that are custom-built to accelerate customers' journey to the cloud and make partner collaboration simpler. With the launch of purpose-built Consumption Pack to tailor client-focused approach!

When we launched Partner Advantage, we committed to making it predictable and easy for partners to drive business with us. Since launch, those commitments have been validated by channel experts like CRN, which gave Partner Advantage a 5-Star award for 2022, and by the fact that our partners have seen impressive growth* across virtually every facet of their business.

I am pleased to announce that our commitments endure today with the launch of Consumption Packs for Deal Acceleration Funds and Partner Services Funds (DAF and PSF for partners). Inspired by partner feedback, these new packages are designed to accelerate all stages of a customer’s journey to the cloud, and make it even easier and faster for partners to do business with us.

Consumption Packs are purpose-built so that partners can plan and initiate customer projects much more quickly, with predictable funding. They include assets and templates that allow partners to deliver Google Cloud designed and validated infrastructure, application migration and modernization plans to customers faster than ever–particularly for customers beginning their journey to the cloud. Based on learnings gathered from thousands of customer deployments, these turnkey packs have been designed by our partners and Google Cloud Partner Engineering and Professional Services’ teams.

Here’s a brief look at Consumption Packs in action:

  • Consumption Packs offer pre-approved, curated templates and assets to simplify and shorten the process for most common projects.
  • For Deal Acceleration Funds (DAF), packages include everything partners need to conduct assessments, workshops and proofs-of-concept so they can quickly meet customers where they are on their journey to the cloud.
  • For Partner Services Funds (PSF), packages are structured so that partners can develop cloud ready foundation and migration plans that align with Google Cloud priority solution areas.
  • Packages have pre-determined funding levels to enable faster deployments.

Partners still have the option to engage with Google Cloud Partner Advantage and their customers through customized requests, as they always have. This is ideally suited for projects that require a tailored approach to meet unique customer requirements.

We are launching nine consumption packs today focused on key enterprise workloads, with a vision toward introducing additional packages to cover more solutions. Partners can explore Consumption Packs now by visiting the Partner Advantage portal.

We welcome your continued feedback and suggestions, and look forward to helping our customers achieve new levels of growth and success, together.

See you in the cloud.

  • The Google Cloud Business Opportunity For Partners, a commissioned Total Economic Impact™ study conducted by Forrester Consulting, October 2021

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