Clinical Intelligence Infrastructure

Healthcare doesn’t stop between visits. Neither should intelligence.

Arvelant is developing clinical intelligence technology to help care teams recognize emerging patient needs, identify potential gaps in care, and coordinate timely follow-up between visits.

Our first focus is maternal health. We're seeking U.S. clinical partners to help shape, pilot, and evaluate how longitudinal intelligence can support pregnancy and postpartum care.

TIME →Clinical recordsPatient-reportedCare interactionsContextual signals

Illustrative visualization — not patient data.

The Challenge

Care is episodic. Patient health is continuous.

Clinical encounters provide important snapshots of a patient’s health. But meaningful changes can emerge between visits, across care settings, and through everyday patient experiences.

Information may be fragmented across clinical records, patient-reported symptoms, care interactions, and other sources.

As a result, care teams may struggle to maintain a timely, longitudinal understanding of emerging needs and gaps in care.

Fragmented Information

Patient signals are distributed across disconnected systems and interactions.

Limited Between-Visit Visibility

Important changes may emerge outside scheduled encounters.

Reactive Workflows

Care teams often lack timely, organized information to support proactive follow-up.

Our Approach

From fragmented signals to meaningful clinical intelligence.

A reusable intelligence architecture designed to connect information, build longitudinal context, and surface insights for clinical review.

01

Connect

Bring together relevant clinical, patient-reported, and contextual information across time and care settings.

02

Understand

Organize longitudinal signals and interpret changes within the appropriate clinical context.

03

Recognize

Identify potential changes, emerging needs, and care gaps that may warrant clinical attention.

“Designed to support clinical judgment—not replace it.”

Intelligence that works within care.

Information can come from compatible patient-facing applications and other supported digital health solutions — and is always reviewed by the care team.

Step 1

Patient Experience

via compatible patient-facing applications

  • Check-ins
  • Symptom reporting
  • Education
  • Appointment support
  • Care navigation

Step 2

Arvelant Intelligence

  • Longitudinal signal organization
  • Contextual interpretation
  • Potential care-gap recognition
  • Prioritized information for review

Step 3

Care Team

  • Clinical review
  • Patient outreach
  • Triage
  • Escalation
  • Coordinated follow-up
Clinical decisions and follow-up inform ongoing care — every action remains under defined clinical oversight.

Built for Scale

One intelligence foundation. Multiple clinical applications.

Arvelant is being designed as a condition-agnostic platform, with reusable capabilities that can support different clinical domains through specialized intelligence modules.

Initial focus

Maternal Health

First application — pregnancy and postpartum care.

Future potential

Chronic Care

Potential future applications in longitudinal condition management.

Future potential

Additional Clinical Domains

A foundation designed to support future clinical use cases.

Where We Begin

Bringing greater continuity to maternal care.

Pregnancy and postpartum care involve changing needs, evolving risk factors, and critical transitions between clinical encounters.

Arvelant’s initial application focuses on helping maternal care teams organize between-visit information, recognize potential changes and care gaps, and support timely, coordinated follow-up.

  1. 1Pregnancy
  2. 2Prenatal Care
  3. 3Birth
  4. 4Postpartum
  5. 5Ongoing Care

Between-visit symptom visibility

Maternal care-gap identification

Postpartum continuity

Care coordination and follow-up

Clinical workflow support

Potential use cases under development and evaluation.

Clinical Application

Recognizing what changes between visits.

During pregnancy and postpartum recovery, important changes can emerge between scheduled appointments. Arvelant is being designed to help care teams organize available information, recognize potential concerns, and support appropriate clinical follow-up.

Stage 1

Patient-reported information

A pregnant patient reports new swelling and elevated home blood-pressure readings between scheduled prenatal visits.

Stage 2

Arvelant Intelligence

Available patient-reported and clinical information is organized longitudinally to highlight a potential change requiring clinical attention.

Stage 3

Clinical Review and Follow-up

An authorized clinician reviews the information and determines whether patient outreach, further assessment, or escalation is appropriate.

Illustrative workflow representing intended functionality. Clinical capabilities remain subject to development, evaluation, and applicable regulatory requirements.

Platform Architecture

Designed to work with the tools healthcare organizations already use.

Patient-Facing Applications

Compatible digital health applications, symptom reporting tools, patient engagement solutions, and other appropriate information sources.

Clinical Information Systems

Electronic health records and other relevant clinical information sources, subject to technical and organizational integration requirements.

Arvelant Intelligence

The clinical intelligence infrastructure designed to organize longitudinal information, interpret contextual signals, and identify potential changes and care gaps for clinical review.

Care Team Workflows

Support for clinical review, patient outreach, triage, escalation, and coordinated follow-up.

Compatible information sources

Patient-facing applications & clinical information systems

connect
↔

Arvelant Intelligence

Organized for clinical review

Arvelant is designed for modular deployment and compatibility with existing healthcare technologies. Integration capabilities and deployment requirements will be evaluated with participating clinical partners.

Building with Clinical Partners

The future of clinical intelligence must be built with clinicians.

We're inviting select U.S. healthcare organizations to collaborate in shaping and evaluating Arvelant's first maternal health clinical intelligence application. Our goal is to work alongside clinical teams to understand real-world workflows, assess feasibility, and explore how better between-visit visibility can support continuity of care.

Clinical Pilot Partners

Help shape the future of continuous maternal care.

We're seeking FQHCs, OB/GYN practices, maternal health programs, and health systems interested in co-designing and evaluating technology that supports between-visit visibility, recognition of potential care gaps, and coordinated follow-up.

  • Clinical workflow discovery and co-design
  • Feasibility and usability evaluation
  • Structured clinical pilot development

Research Collaborators

Support rigorous evidence generation and evaluation.

Technology Partners

Explore integrations with patient-facing applications, clinical systems, and complementary technologies.

Strategic Partners

Explore distribution, commercialization, and broader platform applications.

Better intelligence. More connected care.

We’re building Arvelant with the clinical and technology partners who believe healthcare should be more continuous, contextual, and proactive.

Contact

Start a conversation.

Tell us about your organization and how you’d like to collaborate — clinical pilots, research, technology integration, or strategic partnership.

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