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A Patient-Controlled Health Records Platform with AI-Assisted Care Coordination
Healthcare

A Patient-Controlled Health Records Platform with AI-Assisted Care Coordination

A consumer-facing health platform that centralizes medical records, lab results, appointments, and caregiver workflows.

24/7

Access to personal and family health records

1-click

From doctor’s paper note to a ready-to-book diagnostic task

100%

Of diagnostic documents automatically logged, dated, and tracked

Customer Stories

How to manage medical records, lab results, imaging, and appointments across multiple providers – without relying on disconnected hospital portals, emails, or paper documents.

Healthcare

Industry

Canada

Location

$50,000–$100,000

Budget

AI system design, Medical document processing, Workflow automation, Cloud infrastructure

Services

Challenge

Caregivers and families struggle with proxy access, longitudinal history, and coordinating care across dependants, labs, and providers- while existing tools remain siloed, institution-bound, or imaging-only

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Outcomes We Deliver

Solution

Developed platform consolidates personal and family health data into a single, AI-assisted application with automated intake, caregiver access, and direct LifeLabs integration.

Let’s talk about what’s possible
Dalriada
Tech Stack

To deliver AI-assisted application, Blackthorn AI applied:

Python
FastAP
PostgreSQL
React
TypeScript
OpenAI
AWS
Kubernetes
GitHub
Roadmap

Project duration

01 Month

Product scope validation & system architecture

Defined the core product scope around bring-your-own medical document intake, referral handling, and patient follow-up. Designed the system architecture with a focus on operating outside hospital portals, privacy compliance (PIPEDA), and mobile-first capture.

02 Month

Document ingestion & classification pipeline

Implemented secure upload and capture of PDFs and photos directly from mobile and web. Built the initial AI pipeline to classify documents (referrals, labs, prescriptions) and extract key metadata such as dates, providers, and document intent.

03 Month

Action orchestration & reminder logic

Developed workflow logic to automatically create action items from referrals and medical documents. Implemented timing-aware reminders based on clinic hours, user availability, and urgency preferences, replacing manual follow-up steps.

04 Month

Patient-facing application & role management

Built the core patient-facing web and mobile interface with dashboards, history views, and action tracking. Added secure role profiles (user, dependant) and sharing controls to support family and caregiver workflows.

05 Month

Compliance hardening & beta readiness

Aligned the platform with PIPEDA requirements, including consent flows, audit logging, and encrypted data storage. Prepared the system for beta rollout with real users, focusing on reliability, notification accuracy, and end-to-end referral completion.

Team Size

7 Qualified
AI Experts
2 x Backend Engineer
1 x AI / LLM Engineer
1 x Frontend Engineer
1 x Product Designer
1 x Cloud / DevOps Engineer
1 x QA / Automation Engineer

Delivering Impact

Beyond the values already highlighted, there’s even more to discover. Our commitment to innovation, client success, and impactful results sets us apart.

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24/7

Access

To personal and family health records

1

Click

From doctor’s paper note to a ready-to-book diagnostic task

100%

Of diagnostic documents

Automatically classified and tracked

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