Clinical Workflow Automation Case Study: 5x Growth in Digital Prescriptions
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The customer is a U.S.-based digital health provider founded by clinicians and technology specialists seeking to address persistent challenges in healthcare access, scalability, patient engagement, and continuity of care.
Its digital health platform brings together mobile applications, patient education, remote monitoring, virtual care, and electronic health record data. This enables healthcare organizations to prescribe digital care resources and engage patients beyond traditional clinical settings.
As demand increased, the provider needed a secure and scalable technology foundation capable of supporting large patient populations, diverse clinical workflows, and expansion into multiple markets.
Business Challenge
Patients spend most of their time outside hospitals and clinics. This limits a provider’s visibility into treatment adherence, symptom changes, health behaviors, and emerging risks between appointments.
Digital health applications can help close this gap, but the rapid growth of disconnected apps creates another challenge. Providers may struggle to select appropriate tools, connect them with clinical information, monitor patient participation, and incorporate digital interventions into existing workflows.
The customer needed to unify these fragmented experiences.
Its platform had to combine patient records, claims, remote monitoring information, engagement data, and digital health resources without creating additional complexity for clinical teams.
Scalability was equally important. The provider wanted to move from supporting individual programs to engaging millions of patients while maintaining performance, security, privacy, and regulatory alignment. Building and operating a large on-premises infrastructure would have required substantial investment and an extensive DevOps operation. A flexible cloud foundation was therefore essential.
Solution Details: Azure-Based Clinical Workflow Automation
The provider selected Microsoft Azure as the foundation for its digital health unification and clinical workflow automation software.
The resulting platform connects digital health resources with patient information to support three core activities: activating digital care, curating suitable resources, and monitoring patient engagement and outcomes.
Healthcare professionals can prescribe approved digital tools directly to a patient’s mobile device. Educational content, applications, surveys, remote monitoring, secure messaging, and telehealth experiences can then be organized into coordinated digital care pathways.
An Azure-based integration layer combines general patient information with corresponding electronic health record data to create a more complete patient profile.
Azure API for FHIR accelerates connections among platform databases, EHR systems, and research databases. Support for HL7 enables the platform to exchange healthcare information with existing clinical systems.
Azure Logic Apps helps automate workflows, while Power BI provides analytics and dashboards. Azure Bot Service supports conversational patient engagement, and serverless Azure services reduce infrastructure complexity.
This architecture allows healthcare organizations to deliver digital interventions at scale while giving clinical teams better visibility into patient activity outside the clinic.
Key Features of the Clinical Workflow Automation Software
The platform brings together:
Clinical Workflows Automated
Business Benefits
| Benefit | Detail |
|---|---|
| 5x growth in digital prescriptions | The platform expanded from 500,000 digital prescriptions to 2.5 million. |
| Rapid population outreach | A public-health chatbot and digital care pathway were launched in approximately two weeks. |
| More than one million people reached | The program delivered changing health guidance to a large urban population during a critical period. |
| 55,000 enrollments in eight weeks | Automated engagement enabled thousands of people to join the digital health program rapidly. |
| Potential savings of $1 million per service line | Better procedure preparation and fewer no-shows demonstrated the potential for an average health system to save approximately $1 million per service line. |
| Improved patient outcomes | Early implementations reported better patient activation and procedure-completion rates, along with reductions in readmissions, hospital stays, and missed appointments. |
| Greater scalability | Azure enabled the provider to expand digital care without building and maintaining a large on-premises infrastructure. |
| Stronger clinical visibility | Integrated monitoring and engagement data gave healthcare teams more insight into what happened between patient visits. |
| Simplified interoperability | Azure API for FHIR and HL7 support helped connect digital workflows with existing healthcare systems. |
Overall, the solution created a scalable foundation for continuous patient engagement, clinical workflow automation, and data-driven care delivery.
Frequently Asked Questions
Streebo can help healthcare organizations design secure, connected, and scalable clinical automation experiences powered by Microsoft Azure and enterprise AI.
Our Custom Healthcare AI Solution Development services support patient engagement, appointment preparation, clinical knowledge access, remote monitoring, care navigation, conversational assistance, and human escalation.
We integrate AI solutions with EHRs, patient portals, contact centers, knowledge repositories, and enterprise systems while incorporating secured guardrails, source grounding, analytics, and human oversight.
Ready to simplify clinical workflows and extend patient engagement beyond the clinic?
Connect with us to develop clinical workflow automation software tailored to your organization’s care model, technology environment, and operational priorities.
