Health and Human Services Cloud Resources

Medicaid agencies usually don’t have a problem collecting data. Their problem is figuring out how to use it—to access it, to centralize it in a way it can be compared, and to use it to inform actionable insights.

AWS works with agencies to identify the outcomes they’re looking for and then, working backwards from those outcomes, design a data strategy that will meet their needs. We can also offer recommendations about data patterns that can help deliver on that new strategy.

Medicaid agencies are under a lot of pressure to achieve better outcomes. But without an approach that connects tech goals to program goals, big shifts like modularity can feel like an annoyance instead of an enabler.

AWS can help connect the dots between roadmaps and missions. That might look like figuring out how to get new kinds of support in place or brainstorming ways to better align existing teams.

Medicaid policy changes often, and agencies need to be able to respond to those changes fast. But changing a Medicaid IT system often requires long lead times, change orders, and amended contracts. In other words, lots of time and money that could be better spent on beneficiary care.

Being on the cloud can unlock the ability to take a more agile approach, whether that’s making system updates or experimenting with improving usability.

Beneficiaries expect the same digital experiences they get from the private sector, but most of what Medicaid offers is handled manually, in person, or on the phone.

Modern call centers, services, and platforms can help agencies earn more trust with the providers they work with and the communities they serve.

Hotlines are losing staff and these roles are hard to backfill and train. Amazon Connect, our easy-to-use omnichannel cloud contact center, automates processes and helps prepare hotline workers before they even pick up the phone.

From intake to case management, adoption to independent living, child welfare runs on paper processes. Services like Amazon Textract and Amazon Comprehend use artificial intelligence, natural language processing, and machine learning to extract text and tables from written documents, keeping important data together and ready for analysis.

Across the country, child welfare agencies are modernizing their Statewide Automated Child Welfare Information Systems (SACWIS) into modern Comprehensive Child Welfare Information System (CCWIS) systems. We can help move legacy data to the cloud or work with agencies to develop an incremental roadmap forward.

Documentation is key to determining eligibility. But every hour workers spend scanning and indexing, is an hour they can’t spend supporting their clients.

Intelligent document management and robotic process automation minimize manual work. Even handwritten content can be extracted, parsed, and synthesized.

Most support for benefits programs is handled manually, in person, or on the phone. That means workers waste time using tools that don’t manage benefits well, while clients have no meaningful way of tracking their applications or recertifications.

Modern call centers, services, and platforms—like those powered by Amazon Connect and Amazon Pinpoint—can help agencies earn more trust with the communities they serve.

Agencies usually don’t have a problem collecting data. Their problem is figuring out how to use it—to access it, to centralize it in a way it can be compared, and to use it to inform actionable insights.

Unlocking access to even basic data—even facts about spend or benefits— lets agencies answer questions more quickly and improve the ways they do business. That’s good for clients but also for workers, who end up scrambling when political leaders have questions.

Benefits systems need to be nimble—especially those that handle big volumes of sensitive data like claims. But sometimes making changes is easier said than done.

Lift and shifts can make a real difference. Just being on the cloud can unlock the ability to take a more agile approach, whether that’s making system updates or experimenting with improving usability.

Thanks to an influx of new leadership in public health, agencies are looking for holistic visions for modernization—but balancing day-to-day business with future planning can be a challenge.

Working side-by-side with agencies, we help think through issues like what they want their infrastructure to look like, what business cases they’re trying to solve for, and what they’ll need to set themselves up for success.

Breaking down data silos is often the first part of any public health agency’s strategic plan. But accomplishing that can take sophisticated data infrastructure and a huge amount of data processing power, which can be tough to come by on-premise.

We've built solutions to help jurisdictions bring different types of data together and be ready for analytics—quickly. Cloud-native technology makes adding new data sources easy.

In the peak of the COVID-19 pandemic, agencies received so much data that even quadrupling their on-prem server capacity wasn’t enough. Counties had to rely on state systems that they had no ability to control, or else devise their own solutions to close the gap.

Agencies need flexible systems that can handle fluctuations and disruptions whenever they come. We can help modernize disease surveillance systems, electronic laboratory reporting systems, immunization information systems, and more.

The COVID-19 pandemic made it clear just how brittle some legacy systems could be. And while the pandemic crunch may be over, UI systems across the country still need to be better, smarter, and faster.

AWS’s artificial intelligence and machine learning services help. Amazon Lex can build conversational, multi-channel interfaces; Amazon SageMaker can speed adjudication with artificial intelligence; and Amazon Fraud Detector can help prevent fraud and misuse.

People applying for unemployment insurance are already having a bad day. Modern systems designed around user experience, not compliance, help minimize the burden on claimants.

Our user-friendly front-end services like Amazon Connect improve claimant experience. Plus, Amazon Pinpoint can manage text and email messaging, unlocking new channels for claimants.

Health information exchange systems are looking for the next generation of MPIs. Solutions that leverage machine learning (ML) can dramatically reduce costs, improve accuracy, and deliver the flexibility needed to expand services for new customers.

Health information systems build their businesses on their ability to move and manage multiple data sets and produce insights based on stakeholders’ needs. Data lakes provide HIEs the ability to easily bring together diverse data sets and manage them according to stakeholders’ needs.

Trust is essential for health information systems. Building and maintaining trust requires reliable, flexible solutions able to meet strict service-level agreements.

Many HIEs still rely on on-premise data centers to manage data and services for their stakeholders. That limits their ability to quickly scale for new services, leads to high costs, and offers less than optimal reliability. Migrating to AWS can improve an HIE’s sustainability and allow the business to focus on expansion.

Some health information systems need help implementing new technologies. Managed services allow HIEs to expand their team with technical competency and bandwidth.