Chariot Solutions

10/28/2026

Almost every health tech org we meet is sitting on the same problem: HL7 v2 feeds nobody wants to touch, a data warehouse that was modern a decade ago, and an analytics team working around both instead of on top of clean data.

This is the unglamorous work, and it's also the prerequisite for everything people actually want to talk about — AI, real-time analytics, agentic workflows. None of that holds up on a shaky data foundation. Modernizing doesn't have to mean a multi-year rip-and-replace; it means figuring out what's actually consuming the data before you re-architect how it's stored.

On AWS, that usually looks like HealthLake, Glue, and Lake Formation working together — a real migration path rather than a fresh rebuild. We've moved clients off legacy warehouses onto exactly this kind of stack, and the sequencing matters more than the tooling.

10/14/2026

CMS interoperability requirements don't leave much room for interpretation. But the architecture decisions underneath them do, and that's where most of the complexity lives.

Bulk export at scale, event-driven sync instead of nightly batch jobs, and authentication that satisfies both security and compliance teams aren't edge cases anymore. They're baseline requirements for organizations working with clinical data.

Whatever stack you're on, the questions are the same: Where does your event bus fit? What's actually going through your API layer versus a private path? How do you keep bulk export from becoming a scheduled outage?

On AWS, HealthLake provides a foundation for FHIR without having to build a server from scratch, while EventBridge supports event-driven workflows.

At Chariot Solutions, we've built this pattern for clients who needed it to hold up under audit, not just look clean in an architecture diagram.

Working through your own interoperability or healthcare data architecture challenges? Let's talk about building solutions that are secure, scalable, and designed for the realities of clinical data.

Start a conversation with our team: https://ow.ly/O22850ZXGM2

10/08/2026

Engineers want to use AI. Organizations have plenty of reasons to hesitate.

Cost, data security, IP protection, and concerns about how AI will change engineering roles are all shaping how quickly companies adopt these tools.

In this clip, Our Chief AI Officer, Sujan Kapadia, explains why those concerns are understandable, and why experienced engineers become more important, not less, as AI takes on a larger role in software development.

Watch the clip to hear Sujan's perspective on what's really holding AI adoption back.

09/30/2026

A pattern we keep seeing in health tech: teams reach for a chatbot when what they actually need is an agent that can act.

Answering a patient’s question about their appointment is a chatbot problem. Rebooking the appointment, verifying identity, and updating the provider’s daily brief is a workflow problem, and it requires different infrastructure.

We’ve been evaluating tools like Amazon Connect Health for exactly this reason. It’s built to support the workflow, not just the conversation.

As an AWS partner working in health data infrastructure, this is the kind of shift we spend a lot of time helping clients think through. The question is not simply, “Should we use AI?” It’s, “Where does an agent need to interact with a real system, and what needs to be in place for that interaction to be safe?”

09/25/2026

For years, the healthcare data strategy was simple: collect more, centralize more, build a bigger warehouse.

AI is starting to challenge that assumption.

What if the better approach isn't bringing every piece of data into one massive repository, but giving specific healthcare roles secure access to the right data and AI capabilities at the moment they're needed?

That's the idea behind Beyond the Data Warehouse: Rethinking AI Enablement in Healthcare.

On October 14, Cliff Cavanaugh, founder of Healthjump, will join the Philadelphia AWS User Group and Tech Talks for HealthTech to explore what this alternative looks like in practice, including transformation pipelines, AWS data infrastructure, governance, and Bedrock.

Wednesday, October 14 from 6:00 to 8:00 PM
HealthVerity | 1818 Market St, Philadelphia

If you're thinking about how AI actually fits into healthcare data architecture, this should be a great conversation. Free to attend. Registration is required.

Register here:

Healthcare's next AI bet isn't a bigger data warehouse, t's role-specific, swappable-LLM pipelines on AWS.

09/23/2026

Chariot Solutions is heading back to G2E in Las Vegas!

This year, Rod Biresch, Director of Engineering, and Grant Hartman, Director of Client Engagement, will be representing Chariot and connecting with leaders from across the gaming industry to talk about the technology shaping what comes next.

From AI and data engineering to cloud infrastructure and custom software, gaming organizations are navigating increasingly complex technology decisions while looking for new ways to improve operations and the player experience.

We're looking forward to hearing what's top of mind for the industry and sharing what we're seeing from the engineering side.

September 28 – October 1, 2026
The Venetian Expo | Las Vegas

Will you be at G2E 2026? Rod and Grant would love to connect while you're in Vegas.

09/16/2026

For years, healthcare organizations have been told the same thing: centralize more data, build a bigger warehouse, and eventually you'll have what you need to unlock AI.

What if that's no longer the right approach?

Join the Philadelphia AWS User Group and Tech Talks for HealthTech for Beyond the Data Warehouse: Rethinking AI Enablement in Healthcare.

Cliff Cavanaugh, founder of Healthjump, will explore a different approach to healthcare AI: enabling specific roles and workflows with secure, transactional data pipelines instead of relying on massive centralized repositories.

Using AWS technologies including Glue, Lake Formation, data lake infrastructure, and Bedrock, Cliff will walk through what a secure, auditable, role-specific AI architecture can look like in practice.

October 14 from 6:00 to 8:00 PM
HealthVerity | 1818 Market St #700, Philadelphia, PA 19103

If you're working at the intersection of healthcare, data, cloud, or AI, this is a conversation you won't want to miss.

Save your spot: https://www.eventbrite.com/e/beyond-the-data-warehouse-rethinking-ai-enablement-in-healthcare-tickets-2000210076182?aff=oddtdtcreator&keep_tld=true

09/09/2026

When us-east-1 sneezes, the Internet calls in sick.

AWS is remarkably reliable. But major outages still happen, and when they do, the impact can ripple across thousands of businesses and services.

The question is: Will your systems stay running?

Join Keith Gregory for a practical look at disaster recovery and resiliency on AWS, including the techniques and services that can help organizations prepare before an outage becomes an all-hands-on-deck event.

Keith will explore the technical tradeoffs behind resilient architecture, what AWS provides to help, and the financial reality of designing systems that can remain available when others aren't.

Because once an outage starts, it's already too late to build your disaster recovery strategy.

Thursday, September 24 | 6:00–7:30 PM EDT
Certara | 4 Radnor Corporate Center, Suite 350, 100 Matsonford Road | Radnor, PA

Register here:

AWS is a remarkably stable platform. I have personally seen EC2 instances that have been running for over five years. Companies large and small rely on it for just this rea

09/02/2026

CMS interoperability requirements don't leave much room for interpretation, but the architecture decisions underneath them do and that's where most of the pain lives.

Bulk export at scale, event-driven sync instead of nightly batch jobs, auth that satisfies both security and compliance teams: these aren't edge cases anymore, they're baseline requirements for anyone touching clinical data. Whatever stack you're on, the questions are the same — where does your event bus fit, what's actually going through your API layer versus a private path, how do you keep bulk export from becoming a scheduled outage.

On AWS specifically, HealthLake gives teams a real anchor for FHIR instead of hand-rolling a server from scratch, paired with EventBridge for the event-driven pieces. We've built this pattern for clients who needed it to hold up under audit, not just look clean in a diagram.

Working through your own interoperability or healthcare data architecture challenges?
Talk to our team about building a solution designed for the realities of clinical data.

08/26/2026

Your LLM costs are growing. Do you know where the money is going?

In his latest post, Rod Biresch, Chariot Solutions' Director of Engineering, shares practical ways engineering teams can get ahead of AI spend with better visibility, smarter model selection, and the right guardrails.

From LLM gateways and scoped budgets to model tiering, these are steps teams can take today before the API bill becomes the problem.

Read the full post: https://ow.ly/eopV50ZFFQ6