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Unified clinical trial software

Unified clinical trial software for cardiovascular, renal, and metabolic (CVRM) trials

oomnia centralizes clinical operations for CVRM trials, enabling teams to manage data-heavy studies with streamlined workflows and connected systems

ISO 27001 SOC 2 FDA 21 CFR Part 11 GDPR & HIPAA

INDUSTRY CONTEXT

Why CVRM trials are hard to run

CVRM trials present unique operational and scientific challenges, driven by chronic disease progression, large patient populations, and interconnected clinical outcomes.

Common challenges include:

Long study durations and event-driven timelines that require sustained oversight across extended follow-up periods

Complex patient eligibility and comorbidity patterns across cardiovascular, renal, and metabolic conditions

Heavy reliance on continuous and device-generated data from wearables, remote monitoring tools, and imaging platforms

Large, geographically dispersed trials involving diverse site networks and multi-country patient populations

High operational load at the site level due to frequent assessments, data entry requirements, and safety monitoring

Strict safety oversight and monitoring requirements for adverse events including major adverse cardiovascular events (MACE)

UNIFIED PLATFORM

Why unified clinical trial software matters for CVRM trials

CVRM trials rely on multiple disconnected systems to manage clinical data, imaging, laboratory results, and real-world data streams.

This fragmented setup increases reconciliation effort, delays insight generation, and makes it harder to maintain consistency across long-duration, multi-site studies.

A unified clinical trial platform, built as a Clinical Research Information System (CRIS), connects all study components within one environment. This enables consistent data flow, improved data quality, and centralized oversight across large-scale CVRM programs.

Why unified clinical trial software matters for CVRM trials
Area Modular eClinical system Unified clinical trial software (oomnia)
Data sources Clinical, imaging, lab, and wearable data across separate systems All CVRM data unified in one system
Data consistency Inconsistencies across sites and vendors Standardized data across all study components
Reconciliation Manual alignment of lab, imaging, and clinical data Reduced reconciliation effort
Patient monitoring Delayed visibility into disease progression and events Near real-time monitoring of longitudinal patient data
Endpoint tracking Complex tracking of events like MACE across systems Centralized tracking of endpoints and outcomes
Study execution Disconnected workflows across partners Unified workflows across sites, CROs, and vendors
Oversight Limited visibility across large CVRM programs Centralized, real-time portfolio-level oversight
Scalability Difficult to manage large, global trials Scalable across multi-country CVRM studies

CRIS ARCHITECTURE

One unified clinical trial platform solution for CVRM trials

oomnia brings together multiple clinical trial functions into a unified Clinical Research Information System (CRIS), providing CVRM teams with infrastructure designed for large-scale, longitudinal, and event-driven studies

One shared data model across clinical, operational, and real-world data, keeping all CVRM study components aligned from enrollment through database lock

Supports cardiometabolic trials with diverse data sources and endpoints, including MACE, hospitalization, renal decline, and metabolic progression

Configuration-based updates enable protocol changes without system rebuilds, allowing studies to adapt to evolving clinical guidelines and endpoint definitions

Reduces fragmentation by replacing disconnected tools with one environment, simplifying collaboration across sites, sponsors, CROs, and data vendors

ECOSYSTEM INTEGRATION

How oomnia fits in the CVRM sponsor ecosystem

oomnia serves as a central operational and data hub for CVRM trials, connecting key systems and stakeholders across the study ecosystem

It connects with:

Site electronic health record (EHR) systems, enabling access to longitudinal patient data across cardiovascular, renal, and metabolic care pathways
Central and specialty laboratories capturing key biomarkers including lipid profiles, glycemic indicators, and renal function measures
Imaging providers supporting cardiovascular assessment through echocardiography, CT, MRI, and vascular imaging
Connected devices and digital health solutions generating continuous real-world data such as heart rate, rhythm, activity, and glucose levels
Safety, risk management, and pharmacovigilance platforms for monitoring adverse events across CVRM populations
Sponsor analytics, outcomes research, and reporting systems focused on endpoints such as MACE, hospitalizations, and disease progression

KEY CAPABILITIES

Core capabilities for CVRM trials

Study configuration and long-term outcome management

  • Supports event-driven and longitudinal CVRM study designs focused on endpoints such as MACE, hospitalization, and disease progression
  • Adapts efficiently to evolving clinical guidelines, endpoint definitions, and protocol refinements over extended trial durations
  • Maintains study continuity during amendments, minimizing disruption across large, multi-country patient populations

Data aggregation and consistency

  • Enables continuous data capture and validation across diverse CVRM sources, including clinical visits, laboratory results, imaging, and real-world data streams
  • Unifies data across systems such as EDC, CTMS, ePRO/eCOA, eSource, eConsent, and safety platforms within a single framework
  • Reduces the need for manual data reconciliation by harmonizing inputs from sites, vendors, and digital health technologies

Patient monitoring and engagement

  • Supports hybrid trial models with both site-based and remote data collection, reflecting chronic disease management in CVRM populations
  • Integrates patient-reported outcomes alongside continuous monitoring data from connected devices and wearables such as activity, heart rate, and glucose levels
  • Uses automated reminders and structured workflows to improve adherence in long-duration studies

Operational oversight and endpoint tracking

  • Provides centralized dashboards combining clinical data, safety signals, and event tracking across global CVRM programs
  • Helps quickly identify and review cardiovascular and metabolic events for safety monitoring and interim analysis
  • Delivers structured, submission-ready datasets aligned with regulatory expectations for FDA, EMA, and global authorities

Imaging, biomarkers, and digital data integration

  • Incorporates cardiovascular and renal imaging data such as echocardiography, CT, MRI, and renal ultrasound alongside clinical and laboratory datasets
  • Links cardiometabolic biomarkers including lipids, glycemic markers, and renal function with outcomes and safety monitoring
  • Integrates data from digital health technologies and remote monitoring tools to provide a comprehensive view of patient status over time

Designed to support large-scale, longitudinal CVRM studies focused on outcomes such as cardiovascular events, renal decline, and metabolic progression

Built on a unified data architecture that connects clinical, operational, and real-world data across extended study timelines

Flexible configuration enables protocols to adapt to evolving endpoints, clinical guidelines, and regulatory expectations without system rework

Simplifies collaboration across sites, sponsors, CROs, and data vendors in complex, multi-country CVRM programs

Replaces fragmented systems with a single coordinated environment, reducing operational burden and improving data consistency

VALUE PROPOSITION

Why sponsors choose oomnia for CVRM trials

Client Testimonials

Collaboration built on trust and innovation

Centinel Spine logo
Wemedoo's technology, expertise, and intimate engagement with our team in the development of the EDC, site/patient interface, and metric capabilities are unique. They provided insight and challenged the underlying assumptions to ensure the study's goals and objectives were clearly defined and the operating structure matched with the study's intent. Their system is not a one-size-fits-all and they adapt to the needs of the sponsor, sites, physicians, and the study requirements into a system that merges health information/data and can then become not only informative but actionable.

James Kuras

Vice President of Clinical Affairs and Operations at Centinel Spine

Oxular logo
Wemedoo's cross-functional, integrated teams capture EDC set-up, go-live, data capture, data cleaning, and finally data analysis in a globally compliant fashion supporting trials in different geographies including the US. Their speed of addressing customer needs sets in my personal experience industry benchmark whilst keeping these data solutions lean and affordable. Besides the great proprietary systems they use, their integrated team approach with personal responsibility and honest commitment to targeting outcomes differentiates the Wemedoo team from other providers. Wemedoo only made Oxular's key initial trial, a device-drug trial possible, as based on some pre-work, the Wemedoo team could substantially adapt and update the first EDC ideas for a trial under a US FDA IND. The Wemedoo team worked extremely focused on familiarizing US trial sites and clinical CROs with the use of their system, which turned out to be a key success factor of the respective trial. The highly professional and up-to-date capabilities in data sciences were mirrored by customer-centricity and super fast timelines of integrating mandatory adaptations to the data systems.

Friedrich Asmus

Former Chief Medical Officer at OXULAR

Appletree CI Group AG logo
All jobs, both large and small, are performed with the same dedication to quality, detail, innovative thinking, and rigor. It is always a pleasure to work with the Wemedoo team.

Georg Mathis, PhD

CEO at Appletree CI Group AG

Marti Farm Ltd logo
Wemedoo embodies all the traits desired in a partner in the clinical trial industry – expertise, innovation, reliability, compliance, and attention to detail.

Martina Diminic Smetisko, DMD

Managing Director at Marti Farm Ltd

Polpharma SA logo
Their dedication to, and support of, our projects has resulted in clear quality deliverables. They are always there to answer any questions with expertise in a timely manner. I am looking forward to our next project together.

Volodymyr Stus, MD

Biopharmaceutics and Clinical Research Department Manager at Polpharma SA

Velocious Clinical Research logo
Complex adaptive trials demand speed, precision, and system stability. With oomnia, Wemedoo's unified clinical trial software maintained continuous drug supply oversight, real-time data capture above 99%, and zero Randomization and Trial Supply Management (RTSM) dispensing errors throughout the study. The study reached database lock within 3 days after Last Patient Last Visit (LPLV), a direct result of integrated EDC–RTSM execution and proactive technical support. Wemedoo's technology and team responsiveness played a key role in meeting aggressive milestones.

Dhiraj Patel, Dr.

Director at Velocious Clinical Research

REGULATORY READINESS

Regulatory and data ecosystem readiness for CVRM trials

oomnia delivers a compliance-aligned data environment tailored to the demands of cardiovascular, renal, and metabolic research, supporting complex, long-duration studies and diverse data sources

21 CFR Part 11–compliant records

21 CFR Part 11–compliant records with complete audit trails and secure electronic signatures to ensure data integrity across extended CVRM trial timelines

Risk-Based Quality Management

Risk-based quality management (ICH E6(R3)) embedded into everyday study operations, supporting continuous oversight in large, event-driven CVRM trials

CDISC-compliant data standards

CDISC-compliant data standards, including CDASH for data collection and SDTM-ready outputs for streamlined analysis and submission across CVRM programs

Global regulatory support

Designed to support regulatory submissions to FDA, EMA, and global authorities across multinational cardiovascular, renal, and metabolic programs

Get Started

Advance your next CVRM study with clarity

Bring clinical, imaging, laboratory, and real-world data into one unified environment to improve oversight, reduce operational complexity, and support efficient execution across global CVRM programs

Talk to our team

Frequently asked questions

What is unified clinical trial software for CVRM trials?

Unified clinical trial software for cardiovascular, renal, and metabolic (CVRM) research is a solution that brings together study data, operational workflows, and trial systems into a single clinical research information system (CRIS), enabling coordinated execution across large, long-duration studies.

Why do CVRM trials require a unified clinical research information system (CRIS)?

CVRM trials involve extended follow-up periods, large patient populations, and data from multiple sources, including clinical visits, imaging, labs, and real-world monitoring. A unified CRIS ensures consistent data flow, reduces fragmentation, and supports ongoing oversight across global programs.

How does oomnia support event-driven and evolving CVRM trial designs?

oomnia enables flexible study configuration for event-driven protocols and long-term outcome studies, allowing teams to adjust endpoints, patient cohorts, and study parameters without disrupting ongoing trial operations.

What systems does oomnia unify for CVRM trial execution?

oomnia integrates electronic data capture (EDC), clinical trial management system (CTMS), randomization and trial supply management (RTSM), electronic patient-reported outcomes/electronic clinical outcome assessments (ePRO/eCOA), electronic trial master file (eTMF), electronic source data (eSource), and electronic consent (eConsent) into one connected CRIS, ensuring consistent data flow across all CVRM trial activities and data sources.

How does oomnia reduce delays associated with protocol changes?

By managing updates through configurable settings rather than system redevelopment, oomnia allows CVRM studies to adapt to evolving clinical guidelines and endpoint definitions with minimal operational disruption.

Can oomnia handle the scale and diversity of CVRM data?

Yes. oomnia is designed to manage large, multi-source datasets typical of CVRM trials, including clinical data, imaging, laboratory results, and real-world data from connected devices, with real-time validation and integration.

How does oomnia improve site experience in CVRM studies?

oomnia consolidates multiple tools into a single interface, reducing manual data entry, minimizing queries, and simplifying workflows for sites managing long-term, high-enrollment CVRM studies.

Does oomnia support global, multi-site CVRM trials?

Yes. oomnia provides centralized oversight across regions, vendors, and sites, helping sponsors manage variability in patient populations, site performance, and operational execution in global CVRM programs.

Is oomnia compliant with regulatory requirements for CVRM trials?

Yes. oomnia aligns with 21 CFR Part 11, ICH E6(R3), and CDISC standards, supporting regulatory submissions to FDA, EMA, and other global authorities.

Can oomnia integrate imaging, biomarkers, and real-world data used in CVRM research?

oomnia connects cardiovascular imaging, laboratory biomarkers such as lipids, glucose, and renal markers, and data from digital health technologies into a unified dataset, enabling a comprehensive view of patient outcomes.

How does a unified CRIS accelerate CVRM trial timelines?

A unified CRIS reduces data silos, automates data exchange, and minimizes reconciliation efforts, helping sponsors accelerate study startup, improve enrollment tracking, and streamline database lock in long-duration CVRM trials.

Who benefits most from oomnia's CVRM capabilities?

Emerging and mid-size biopharma companies, cardiovascular and metabolic research teams, and CROs conducting large-scale, longitudinal, or event-driven CVRM trials benefit most from oomnia's unified CRIS approach.

Need one system to manage clinical, imaging, and real-world data in CVRM trials?