40% Faster Deployments: Digitizing Healthcare With AI & Cloud

AI-driven automation, cloud-based infrastructure, and microservices helped streamline digital healthcare services, reduce system downtime, and improve patient engagement, ensuring faster and more reliable access to medical care.

40%

Faster deployments: Enhanced infrastructure accelerated feature rollouts.

30%

Less downtime: Microservices and cloud infrastructure minimized system downtime.

20%

Reduction in cost: Streamlined digital processes reduced operational expenses in the first year.

IndustryHealthcare
Company typeEnterprise
CountryUnited States
Services usedTuring Intelligence
40% Faster Deployments Digitizing Healthcare With AI & Cloud OG

About the client

A leading healthcare provider offering primary, multi-specialty, and urgent care services across traditional clinics, in-home consultations, and virtual appointments. The organization leverages data-driven insights and value-based care models to enhance patient outcomes and operational efficiency, serving millions of patients nationwide.

The problem

The client’s legacy healthcare system limited digital patient engagement and hindered scalability and operational efficiency. Key challenges included:

  • Limited digital presence: Patients lacked mobile and web platforms for appointment scheduling and real-time consultations.
  • Manual scheduling processes: Long wait times and phone-based scheduling reduced accessibility and frustrated patients.
  • Scalability constraints: Dependence on physical clinics restricted market expansion and service availability.
  • Lack of personalized patient engagement: No centralized CRM or analytics to support targeted healthcare services.

These inefficiencies delayed care delivery, increased operational costs, and limited patient engagement.

The solution

Turing implemented an AI-driven, cloud-based healthcare platform, modernizing patient engagement, scheduling, and digital health services.

Mobile app development:

  • Developed native Android and iOS applications for daily health monitoring and patient engagement.
  • Integrated electronic health record (EHR) systems to provide patients with access to their medical history and test results.
  • Expanded features to include appointment scheduling, direct provider messaging, and real-time health updates.

Web application development:

  • Built a public scheduler for non-registered users to easily book appointments.
  • Developed a secure web portal for existing patients to manage their healthcare interactions.
  • Integrated HubSpot for content management, ensuring dynamic updates and personalized user experiences.

Backend system enhancement:

  • Transitioned to a microservices architecture, improving scalability and system performance.
  • Migrated backend infrastructure to AWS cloud services, ensuring resilient, scalable, and secure operations.
  • Implemented DevOps methodologies, including continuous integration and deployment (CI/CD) for seamless feature updates.

Third-party integrations and analytics:

  • Integrated Salesforce CRM for advanced patient relationship management.
  • Deployed Google Analytics and Countly to track user behavior, feature adoption, and engagement metrics.
  • Migrated key functionalities to Flutter, enhancing cross-platform performance and development efficiency.

The result

  • 40% faster deployments, ensuring rapid feature rollouts and system updates.
  • 30% reduction in downtime, improving system reliability and accessibility.
  • 20% lower operational costs, reducing dependency on physical clinics.
  • 15% increase in patient retention, driven by personalized engagement and targeted healthcare services.
  • 85,000 active users engaged on the platform post-launch, demonstrating high adoption rates.

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