Case Studies
Taking Apps to Health Systems (and Integrating with EHRs)
You have clinical buy-in, now what?
Taking an App to a Health System is a unique mix of Tech, Standards, Compliance, Cyber Security, Enterprise IT, Admin and Clinical - and we're across all of it.
Expect security questionnaires, Systems Architecture and Data Governance reviews, requests for comprehensive documentation and a whole lot of emails and meetings.
We've done this more than a few times - view our Guide for more info.
SMART Health Cards and SMART Health Links Development
With its new pledge, CMS is supporting early adopters building real-world, patient-facing apps using SMART Health Cards and SMART Health Links. The goal: eliminate manual check-ins by enabling patients to share verified identity, insurance, and clinical history using FHIR-based QR codes or Health Links, and receive their visit summaries back the same way.
We’ve helped shape this space from the start. Patrick worked with The Commons Project, where he led efforts to support the Government of Japan in launching SMART Health Cards as their national vaccine credential, and later oversaw the launch of SMART Health Links with Docket®, enabling patients across the U.S. to securely share live-updating immunization records through passcode-protected URLs.
HIPAA Compliant Custom Software Development
CommonHealth is the leading Personal Health Record app for Android and Jupyter is renowned as the most widely used platform for data science and medical research. The JupyterHealth project bridges these two, enabling patients to securely share specific parts of their medical records with consented studies and researchers.
We built a FHIR server form the ground up and have been deeply involved in every phase of the project — from strategy and requirements analysis to RFC writing, architecture, development, deployment, and presentations. You can view the latest on GitHub.
AI & Machine Learning
We've collaborated closely with pediatric specialists at Sipple Care to develop an AI-powered app for detecting and diagnosing feeding disorders in infants. We've been involved in every step along the way — from curating the corpus and building the dataset to training machine learning models, engineering DSP pipelines, and managing a small offshore team to develop and deploy the mobile and web Apps.
Additionally we've leveraged LlamaIndex and ChatGPT to build a domain-specific chatbot designed to answer infant feeding questions.
HIPAA Compliant Workflow Automation with n8n
Mind & Motion had a complicated, labor-intensive manual workflow that spanned two disparate systems: an EHR for appointments and patient charts and a CRM/ERP for leads, billing and analytics.
To address this challenge, we leveraged n8n, a best-of-breed Open Source automation platform built on a modern, secure architecture that can be self-hosted to meet compliance requirements. Its Open Source nature allows for the efficient development and deployment of custom nodes.
Using n8n and developing custom FHIR and HL7v2 nodes, we seamlessly integrated the two systems and automated key workflows. The intuitive n8n GUI empowers the in-house IT team to manage and support the solution independently.
