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AI Clinical Data Intelligence Platform for Pharma R&D & Trial Analytics

Plavno developed an embedded analytics module that turns ECG (electrocardiogram) and digital stethoscope device data into structured, research-ready intelligence for pharma R&D teams.

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Overview

Key Metrics & Impact

This case reflects Plavno’s work as a specialized module development partner inside a broader healthcare and clinical technology ecosystem. The client’s core platform already existed, while Plavno delivered a dedicated intelligence layer for connected diagnostic devices. The solution processed ECG and digital stethoscope data, structured those outputs into usable research intelligence, and supported observational, clinical, and trial-related workflows where raw device signals needed to become more operationally useful.

  • Better use of connected clinical device data inside pharma and research workflows

  • More structured handling of ECG and digital stethoscope signals

  • Faster access to meaningful device-driven insights

  • Stronger support for pharma R&D, observational studies, and trial analytics

  • Higher platform value through advanced clinical data intelligence capabilities

Solutions
Challenges
Use Cases
Key Metrics & Impact
01

Problem

Pharma R&D and clinical research platforms often receive rich streams of device-generated data, but raw diagnostic outputs are not always easy to operationalize. Common challenges included:


  • Raw device signals were difficult to use inside broader trial workflows

  • ECG and stethoscope outputs needed clearer structuring and interpretation support

  • Research teams needed faster access to clinically relevant device signals

  • Diagnostic data existed, but was not always usable for downstream analytics

  • The platform needed stronger differentiation through advanced research intelligence capabilities


The client wanted to make device-generated clinical data more actionable inside the research environment without rebuilding the full platform core.

Problem
02

Challenge

The platform needed to:


  • Process ECG data inside the research platform

  • Process digital stethoscope data in the same environment

  • Convert device outputs into more structured and research-usable insights

  • Support pharma and clinical research workflows

  • Fit naturally into broader observational and trial-related processes

  • Remain modular and reusable as part of the existing platform ecosystem


There were also important constraints:


  • The core system already existed, so the analytics platform had to integrate rather than replace

  • The value had to come from improving how device data was used, not just displaying it

  • The solution needed to support researchers and clinical teams without disrupting workflows

  • The platform had to strengthen trial intelligence and R&D decision support through practical analytics capabilities

Challenge

Solution

Plavno’s AI Clinical Data Intelligence Platform

Transforming ECG and digital stethoscope data into an integrated intelligence layer for faster, more structured R&D and trial workflows

Product Highlights

    • Intelligence layer for ECG analytics

    • Intelligence layer for digital stethoscope analytics

    • Structured presentation of device-derived insights

    • Integration with pharma R&D and clinical research workflows

    • Better use of connected diagnostic device outputs

    • Reusable AI analytics capability inside the broader platform

    • Extensible foundation for future trial intelligence and device analytics use cases

User Flows

    • Capture Device Data: The platform receives ECG and digital stethoscope signals through connected device workflows.

    • Process and Structure Outputs: The intelligence layer transforms raw device data into a more structured and research-usable format.

    • Present Research Intelligence: Researchers and platform users access device-related insights inside the R&D environment.

    • Continue Trial Analytics Workflows: Structured outputs support downstream study, observational, and trial-related processes inside the platform.

Experience & Scalability

    • Suitable for pharma R&D and clinical research platforms using connected diagnostic devices

    • Supports research-facing workflows around ECG and auscultation data

    • Works as a modular enhancement inside a broader clinical or data platform

    • Improves product value without replacing the core system

    • Scalable for additional device analytics and trial intelligence use cases over time

Architecture Overview

Deep Dive: Project Architecture

  • Device Data Layer: The platform ingests data from ECG and digital stethoscope sources.

  • Signal Processing Layer: Raw outputs are transformed into a more usable and structured format for research workflows.

  • Intelligence Layer: The platform applies analytics logic to highlight clinically relevant and study-relevant device information.

  • Research Workflow Layer: Insights are presented in a way that fits observational, clinical, and trial-related platform usage.

  • Integration Layer: The solution connects to the broader clinical platform without replacing the core system.

  • Extension Layer: The architecture supports future device analytics, study intelligence, and broader AI-driven research capabilities.

Deep Dive: Project Architecture

Value

Quality & Fidelity

Delivering better use of clinical device data, clearer research workflows, and stronger analytics value for pharma platforms

Better Use of Clinical Signals

Better Use of Clinical Signals

The platform makes ECG and stethoscope data more actionable inside research workflows.

Clinical intelligence
Device data
Trial analytics
MVP
MVP
Better Research Usability

Better Research Usability

Outputs are structured for research and study workflows rather than left as raw technical signals.

Research workflows
Structured insights
Platform usability
MVP
MVP
Stronger Product Differentiation

Stronger Product Differentiation

The client platform gains more advanced intelligence capabilities without changing the core system.

Product enhancement
Pharma analytics
Embedded AI
MVP
MVP
Better Expansion Potential

Better Expansion Potential

The same architecture can support additional connected diagnostics and trial workflows over time.

Scalability
Module reuse
Trial intelligence growth
MVP
MVP

Benchmarks

Scale & Reliability

Built for connected clinical device workflows, repeatable analytics, and scalable pharma research platform integration

Device-Aware Platform Design

Device-Aware Platform Design

The solution supports multiple diagnostic device inputs inside one platform environment.

ECG
Digital stethoscope
Device integration
Stable Workflow Integration

Stable Workflow Integration

The platform works within existing research workflows instead of outside them.

Platform continuity
Workflow integration
Reliability
Reusable Intelligence Foundation

Reusable Intelligence Foundation

The architecture supports future clinical research and analytics modules.

Analytics platform
Modular design
Growth potential
Research-Scale Readiness

Research-Scale Readiness

The platform strengthens the product without requiring full system replacement.

Scalable platform value
Embedded AI
R&D operations

Data Protection

Security & Compliance

Controlled handling of clinical device workflows inside a governed R&D and healthcare data platform environment

Structured Device Data Handling

Structured Device Data Handling

Clinical device data is managed through the platform rather than disconnected tools.

Better Workflow Oversight

Better Workflow Oversight

The client gains stronger control over how analytics operate inside the product.

Secure Platform Integration

Secure Platform Integration

The intelligence layer is embedded into the broader platform with workflow continuity in mind.

Innovative Experience

Industries & Use Cases

Clinical data intelligence platforms for pharma R&D, clinical research, and trial analytics

Pharma R&D Platforms

Pharma R&D Platforms

Add higher-value analytics for connected clinical devices.

Observational and Trial Data Environments

Observational and Trial Data Environments

Make device outputs more useful across structured study workflows.

Clinical Research Systems

Clinical Research Systems

Improve how ECG and stethoscope data are used inside research workflows.

Healthcare Data Platform Expansion

Healthcare Data Platform Expansion

Use modular AI intelligence to improve product differentiation.

Delivery Crew

Project Team

High-performing developers for growing companies

Eugene Katovich

Eugene Katovich

Sales Manager

Need an AI clinical data intelligence platform for ECG, stethoscope, or connected device analytics?

Plavno builds embedded analytics solutions that help pharma and clinical platforms turn diagnostic device outputs into structured R&D and trial intelligence without replacing the core product.

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Competitive Ability

Key Performance Flow

Demonstrating how Plavno transforms raw clinical device signals into structured trial intelligence for pharma R&D

From connected device data to research-ready intelligence — everything happens through one integrated analytics platform inside the clinical environment.

01

Capture ECG and Stethoscope Data

The system receives device-generated signals through platform-connected workflows.

02

Process and Structure the Signals

The intelligence platform transforms raw outputs into a usable format.

03

Highlight Relevant Clinical Insights

Users gain faster access to meaningful device-related signals for research and study workflows.

04

Support Downstream Trial Analytics

Structured outputs become part of broader R&D, observational, and clinical platform processes.

Delivery & Automation

Delivery & Automation

    • Device workflow support

    • Platform connectivity

    • Trial workflow integration

    • Reusable analytics architecture

Throughput & Scale

Throughput & Scale

    • Connected device support

    • Extendable intelligence foundation

    • Scalable trial analytics value

    • R&D platform fit

Clinical Intelligence Quality Stack

Clinical Intelligence Quality Stack

    • ECG analytics

    • Stethoscope signal handling

    • Structured signal outputs

    • Research-facing insights

Results

Measurable outcomes delivered by an AI clinical data intelligence platform

Faster Access to Clinical Signals

Faster Access to Clinical Signals

Teams reach meaningful device-related insights more efficiently.

Better Device Data Usability

Better Device Data Usability

Raw outputs become more useful inside research and trial workflows.

Stronger Trial Workflow Support

Stronger Trial Workflow Support

The platform improves how diagnostic information fits into study operations.

Better Product Value

Better Product Value

The system gains advanced analytics capabilities without replacing the core platform.

Scalable & Extensible Foundation

Scalable & Extensible Foundation

The modular architecture enables future expansion into additional device types and broader AI-assisted trial intelligence use cases.

Tools We Used

Technology stack

Device Data Layer

Device Data Layer

ECG inputs
Digital stethoscope signals
Device workflows
Research Integration

Research Integration

Clinical workflows
Trial-facing presentation
Platform connectivity
Backend

Backend

Python
Node.js
API orchestration
Infrastructure

Infrastructure

Cloud deployment
Monitoring
Scalable platform architecture
Intelligence Layer

Intelligence Layer

Signal processing
Structured outputs
Clinical analytics

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Frequently Asked Questions

Quick Answers

Find answers to your common concerns

Did Plavno build the full platform?

No. Plavno developed the analytics intelligence layer integrated into the client’s broader platform.

Which device data did the platform support?

It was built around ECG and digital stethoscope workflows.

Was this just visualization?

No. The platform was designed to make device outputs more structured and more useful inside research-oriented workflows.

Can this approach be extended to other clinical device analytics?

Yes. The architecture is suitable for broader connected diagnostic and trial intelligence expansion.

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“They really understand what we need. They’re very professional.”

The 3D configurator has received positive feedback from customers. Moreover, it has generated 30% more business and increased leads significantly, giving the client confidence for the future. Overall, Plavno has led the project seamlessly. Customers can expect a responsible, well-organized partner.

Sergio Artimenia

Commercial Director, RNDpoint

Sergio Artimenia

“We appreciated the impactful contributions of Plavno.”

Plavno's efforts in addressing challenges and implementing effective solutions have played a crucial role in the success of T-Rize. The outcomes achieved have exceeded expectations, revolutionizing the investment sector and ensuring universal access to financial opportunities

Thien Duy Tran

Product Manager, T-Rize Group

Thien Duy Tran

“We are very satisfied with their excellent work”

Through the partnership with Plavno, we built a system used by more than 40 million connected channels. Throughout the engagement, the team was communicative and quick in responding to our concerns. Overall, we were highly satisfied with the results of collaboration.

Michael Bychenok

CEO, MediaCube

Michael Bychenok

“They have a clear understanding of what the end user needs.”

Plavno's codes and designs are user-friendly, and they complete all deliverables within the deadline. They are easy to work with and easily adapt to existing workflows, and the client values their professionalism and expertise. Overall, the team has delivered everything that was promised.

Helen Lonskaya

Head of Growth, Codabrasoft LLC

Helen Lonskaya

“The app was delivered on time without any serious issues.”

The MVP app developed by Plavno is excellent and has all the functionality required. Plavno has delivered on time and ensured a successful execution via regular updates and fast problem-solving. The client is so satisfied with Plavno's work that they'll work with them on developing the full app.

Mitya Smusin

Founder, 24hour.dev

Mitya Smusin

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