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Healthtech

Delivering a

customizable and configurable data platform

for healthcare service providers

Services Rendered

Product Design

Product Engineering

Continuing Design

Tech stack

REST, GraphQL, Amazon Web Services (AWS), Github workflows, Terraform, Cypress, TestRail, and Karate.

30% of world’s data is produced by the healthcare industry

Zemoso enabled the build and launch of a unified data platform for the healthcare industry that can integrate and standardize patient data access across healthcare systems. This powerful health data platform could then be layered with patient relationship management applications, scheduling widgets, and more to empower healthcare providers to deliver better patient outcomes.

iNDUSTRY CHALLENGE

The healthcare industry faces significant barriers to data interoperability. Information lives in silos for service providers, different caregivers, and insurance companies. Healthcare produces about 30% of the world’s data, which is expected to grow at a 36% CAGR by 2025.

Due to this lack of interoperability, individual nodes across caregiving organizations lack access to comprehensive patient information, which limits their ability to impact outcomes. This challenge results in time-consuming data collection processes such as filling out physical forms and entering patient details, leaving clinicians reliant on fragmented or outdated information, negatively impacting care quality and patient outcomes.

These inefficiencies create additional stress for healthcare teams, drive up operational costs, and ultimately hinder the delivery of timely, high-quality care. A scalable solution that integrates data from multiple sources and simplifies workflows is urgently needed to bridge these gaps, especially as significant parts of caregiving are spread across remote health monitoring, telehealth engagements, and multiple specialists and testing bases.

Zemoso Labs Partnership Challenge

The solution to this industry challenge was to build a health data platform that centralizes patient data, standardizes complex datasets, and facilitates real-time care coordination. It was built on a HIPAA-compliant FHIR-native infrastructure by integrating data via APIs, embedded components, and direct electronic health record (EHR) connections. This solution enables running efficient workflows, eliminates redundancies, and empowers collaboration across healthcare ecosystems. With tools like a Universal Patient Index and CDA-to-FHIR parser, the product ensured secure, actionable, and enriched patient profiles, helping providers deliver better outcomes across service providers.

Impact created

Zemoso enabled our customer to test the appetite for a solution like this with industry experts and users, healthcare service providers. Our customer was able to start quantifying the value of this health data platform with a functioning design prototype in 2 weeks and a minimum viable product (MVP) in under 4 months.

What are our clients saying?

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How did we do this?

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Connect the Dots: As part of the Connect the Dots program, we co-created a high-fidelity prototype in 2 weeks using Zemoso's adaptation of Google Ventures Design Sprint, Amazon's Working Backwards, and JTBD

Self-organized pods: Zemoso provided the customer with a self-organized pod who partnered with the customer to deliver engineering, product management, project management, and design capabilities as needed. 

The Solution

Zemoso built a patient relationship management (PRM) system with a headless EHR where the PRM and the EHR components work together in a decoupled, flexible, and customizable way. A PRM system that can pull patient health records, treatment histories, and other data from headless EHR through APIs helped personalize patient interactions with caregivers and healthcare providers. The headless EHR itself would make it easy to scale the system, update the features, and integrate new sources of information without having to overhaul the system. The solution could ensure that primary care physicians, specialists, testing facilities, pharmacies, long-term care providers, rehabilitation centers, telehealth care providers, admin staff, and everyone else involved in the caregiving workflow are always on the same page. 

Some of the features in the solution included:

  1. Enabling caregivers to design personalized dashboards using drag-and-drop widgets.
  2. Widgets for task tracking, patient feeds, scheduling, and communication, ensuring that workflows align with staff roles and priorities.
  3. Integrated chat and messaging features allow care teams to collaborate efficiently with each other.
  4. Integrated chat, calls, and in-person meetings records so that patients can connect with the care team easily
  5. Template-based fields so that staff can create individualized care plans, add attachments, assign tasks, and designate team members, all within a structured modal layout.

Solution Details

Product components: The first iteration of the product included a headless EHR system, a communication application, and a caregiver application. The headless EHR system connects with multiple EHR platforms, aggregating and processing data for use by the PRM system. A flexible communication platform enables patients and caregivers to interact directly and securely. Meanwhile, a caregiver application supports customizable workflows, individual care plans, and long-term monitoring.

The team built the PRM application to be configurable using low-code/no-code frameworks so hospitals and healthcare providers can easily customize interface elements without coding. They can create widgets, customize layouts, and set up branding guidelines. Microfrontend architecture and atomic design enable modular development with reusable components, ensuring scalability and smooth customization.

Architecture: A microservices architecture on AWS underpins the system, delivering efficiency and flexibility. The frontend uses React, Material UI, a GraphQL client for streamlined communication, and a widget framework for secure, modular UI components aligned with atomic design and micro frontend principles.

UI Framework and Workflows: Zemoso developed a base UI framework that was extensible and evolutionary, allowing plug-and-play functionality for users and developers. The client’s team used the same design system to build their front end from an extensive library of forms, widgets, workspaces, and SDKs. The Zemoso pod also introduced features and tools to support user engagement workflows for PRM-related applications, enabling care providers to interact with patients through messaging and interactive chat. For the communication system, REST and GraphQL were used to stitch data from multiple microservices together.

Backend: Zemoso employed backend-for-frontend (BFF) services to deliver underlying application services and meet front-end needs using GraphQL for the application facade. REST and GraphQL services enable selective data extraction across microservices, all powered by Node.js. A HAPI FHIR wrapper manages interactions with the FHIR medical database, while Postgres serves as the primary data store.

Testing Tools: Cypress handles QA and frontend testing, and TestRail organizes and tracks test cases. Datadog provides monitoring, including log checks and synthetic tests, while Karate is used for API testing.

DevOps and CI/CD: Zemoso provided a dedicated Sandbox environment to support safe feature testing, and automated feature deployment by implementing continuous delivery to quickly promote changes without manual interventions, using AWS, GitHub workflows, and Terraform. AWS services (multi-region deployment, load balancing, and accounts) form the core infrastructure, with AWS Amplify for UI hosting. GitHub workflows automate CI/CD pipelines, and Terraform manages infrastructure provisioning. Sentry provides logging and monitoring, while Docker and Kubernetes handle containerization and orchestration.

Security & Compliance: HIPAA compliance is strictly followed, with data sovereignty rules enforced to keep healthcare data within authorized regions. FHIR fields remain masked until consent is granted, and stringent data access controls safeguard patient privacy. Auth0 secures user authentication and access, ensuring sensitive healthcare data remains protected.

Tracking: Mixpanel enables detailed analytics, offering insights into user behavior and feature adoption.

Messaging and Notifications: PubNub handles real-time chat messaging and notifications, ensuring timely communication between patients and caregivers.

How did Zemoso deliver excellence?

An agile engineering, design, and product team collaborated closely with the customer’s internal team, self-organizing on priorities and staying accountable for iterative, accelerated delivery. By leveraging a mix of near-shore and off-shore resources, Zemoso provided round-the-clock support, enabling our customer to launch much faster. To learn more about our Connect the Dots program or our engagement models, please fill out our form here.

P.S. We have strict nondisclosure agreements (NDAs) with many of our clients. The data, insights, and capabilities discussed in this case study have been anonymized to protect our client’s identity and don’t include any proprietary information.

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