January 2026
We extend our appreciation to the 16 team members who (so far) have participated in the AI/HopGPT challenge. We received 19 submissions from across IT@JH — ranging from tools for coding, studying, and clinical documentation to solutions that could reduce workload and improve enterprise support.
IT@JH should lead in helping Johns Hopkins adopt and leverage AI. For that reason, we are extending the AI/HopGPT challenge deadline to March 2. Look at your work and your customers’ work, and imagine where AI could accelerate what we do.
As examples of the sorts of applications we are looking for, please review the executive summaries of these three proposals:
- Sightline FAQ Agent, Alex Quigley & Olga Sankova, Sightline
The team designed and tested a Microsoft Copilot agent using historical program responses and vetted knowledge sources. The agent saves time spent manually digging through spreadsheets or repetitively asking functional experts for answers. It also creates one consistent voice coming from many Sightline representatives to strengthen and professionalize responses. The Sightline FAQ agent is a template for handling Q&A with other complex initiatives supported by large teams.
- Clinical Documentation Improvement Scalable AI Project, Ebony Williams, Health IT
Incomplete and fragmented clinical documentation in Epic contributes to patient safety risk, coder and biller inefficiency, lost revenue, and high audit findings. We propose a phased, AI-enabled documentation support layer embedded directly in Epic. This solution is designed to improve documentation completeness and clarity in real-time, reduce clinician burden, and ensure the narrative supports accurate coding, billing, and regulatory requirements without making autonomous decisions or disrupting care. This strategic investment safeguards revenue, improves compliance, and creates a scalable platform for ongoing innovation.
- Software Asset Management & Governance Engine (SAGE), Nitin Ale, Enterprise Business Solutions
There is no single system of record for software assets across IT or the enterprise. SAGE (Software Asset Management & Governance Engine) is an AI-assisted intelligence layer that consolidates fragmented software data into a single decision view. It does not alter governance or automate approvals — its purpose is to provide clear, consistent context so teams can make better-informed decisions about purchasing new software solutions.
Here is a reminder of the proposal submission guidelines: Write a summary of your project and submit it to your respective IT Cabinet member (the senior leader on this page who your team reports to).
- Your submission should focus on an actual application of AI, rather than a proposal for something you want to try.
- It’s acceptable to frame your work as a proof of concept that may require funding to achieve its full benefit.
- Ideally, projects will leverage HopGPT. If using other systems, please ensure you have budget approval for any additional costs associated with using those resources.
After March 2, we will evaluate all the applications we have received and will determine next steps for the most highly rated ideas. Our leadership team is excited by what has been submitted so far and we look forward to the next wave of ideas.
