AI-Powered API for Chronic Disease Management

Clinician reviewing AI-generated chronic care recommendations
The new API processes complex health data in seconds, giving doctors more time with patients.

DigitalHealth.sg today unveiled an AI-powered API that equips healthcare providers with rapid, evidence-based insights for managing chronic conditions such as diabetes, hypertension, and hyperlipidaemia. Built in Singapore and refined over three years, the platform pairs advanced data extraction with region-specific clinical logic so providers can scale high-quality preventative care.

Solving the chronic care bottleneck

Chronic diseases affect roughly one in three adults worldwide, and many patients present with multiple comorbidities. Doctors must assimilate lab results, imaging, past notes, and risk scores before they can make confident recommendations. Every extra minute spent on data processing is a minute lost to meaningful patient conversation.

The new API automates the most time-consuming portion of this workflow. Hundreds of data points are ingested, analysed, and converted into actionable recommendations—often in under a minute. Clinicians receive summaries that highlight risk factors, suggest medication adjustments, and surface guideline-aligned follow-up plans.

Localised health processing units

Unlike generic AI engines, the DigitalHealth.sg platform ships with modular Health Processing Units (HPUs). Each HPU can be configured to reflect local guidelines from Singapore, the United States, or Europe. Providers in Vietnam, for instance, can activate a regional cardiovascular HPU that captures the nuances of stroke and metabolic risk prevalent in the Mekong Delta.

"Our AI-powered API is not just a bolt-on feature—it is a catalyst for better chronic care," said Dr. Jordan, founder of DigitalHealth.sg. "By standardising assessments and making complex cases manageable, we free up clinicians to focus on what matters most: the patient in front of them."

Fast, economical, and integration-friendly

  • Cost efficiency: Requests average just USD $0.10, keeping population-scale programs financially sustainable.
  • Time savings: Processing typically completes within 60 seconds, reducing chart review time by 10–15 minutes per patient.
  • Flexible architecture: The API complements existing clinic management systems, screening programs, telemedicine apps, and pharmacies. Front-end teams can embed results into existing dashboards or deploy Remedy AI—the company’s white-label telehealth interface that demonstrates the API in action.

To showcase real-world performance, DigitalHealth.sg has already integrated the API into its own telemedicine service. Clinics can offer subscription-style chronic care plans that maintain continuity and satisfaction for long-term patients.

Call for regional partners

DigitalHealth.sg is actively exploring partnerships in Vietnam and neighbouring markets to co-develop localised HPUs. Potential collaborators include telemedicine providers, hospitals, screening initiatives, and healthtech startups looking to embed clinical intelligence into their workflows.

Interested organisations can request API documentation, arrange a technical walkthrough, or trial Remedy AI with a demo login (Enquire with us). Tailored commercial packages are available for early adopters.

About DigitalHealth.sg

DigitalHealth.sg is a Singapore-based healthtech innovator founded by practicing family physician Dr. Jordan. The company builds AI-driven tools that make preventative health and chronic disease management more efficient, consistent, and patient-centric.

For media enquiries or partnership discussions, please email hello@digitalhealth.sg.

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