Making you ready for next-generation real-world evidence

Our unique virtual hospital solution allows virtual team building by doctors and researchers across the nation. This allows the team to synchronize the use of Dockares’ remote patient monitoring, symptom based alert and configurable e-CRF to measure real world evidence of various therapeutic areas.

Real World Data at your fingertips

Collate, Access, Analyse and create Insights rapidly from your real-world data across your patient’s record with a flick of your finger.

Clinical data points


ML based patient records assimilated


Patient safety data


Expandible data collection fields


Days to publish a clinical study


Case report form configurations

Dockare offers better Research Outcomes through Superior Patient Engagement

  • Real World Evidence (RWE) studies
  • Registries and outcome research
  • Smart & adaptive study designs
  • Technology-enabled e - platform
  • Intelligent data insights
  • Accelerated publications

Real world Real data

How does Dockare help overcome these challenges


Replicate the real-hospital scenario with superior patient- doctor engagement and structured care-giver network all under one roof. Creating a research team on Dockare has never been so easy.


Data collected digitally at source, with no manual transcription and hand-offs coupled with intelligent validations drive data to be of high quality and reliability. Increases the quality of insight generation. Stage-gated quality check using advanced ML algorithms help achieve high levels of specificity and accuracy.


Transform your study objectives and clinical endpoints to intuitive e-CRFs. Our e-CRFs are easily created and validated for accurate data collection and effective execution of RWE studies. Pick from out-of-the box templates using a wizard directed across purpose and therapeutic areas to quickly deploy these forms.


Our platform is designed on global standards of HL7 and FHR data structure making you ready for standard data import and export. Widening your data architecture across EHRs, clinical and multiple other disparate patient data sources making it wider, deeper and richer for generating high quality insights.


Dockares’ data structure is well-organized, making analysis less cumbersome, reducing cleaning efforts and providing our data scientists to look farther into outcomes. Dockares’ market-ready analytic plan allows you to reach insights faster and solving your complex business challenges with ease.


Over 100+ years of collective experience of our cross-functional team across clinical, hospital, regulatory, payer HTA assessors and clinical scientists makes Dockare to transform your strategies to reality by providing pointed insights and specific evidences to fulfil your business objectives.

Market-ready solutions | Position your product through data-driven & informed business strategy.

Think beyond regulatory, clinical and development to collect relevant real-world evidence from unrestricted access to millions of anonymized patient records to power your commercialization efforts. Partner with our consulting team to determine the most cost-effective methodology to accelerate product approval, enhance prescriptions and market access through our services:

Investigators can deploy their studies on Dockare platform for collection of IIS data across their study site. Once study is completed, analytics, reporting including publication of the study will be undertaken by Dockares’ team.
Designing an outcomes-based studies for any purpose- healthcare practice, treatments, surgical or other interventions that impact patient’s experienced end-result within the heath-care systems, can be achieved seamlessly on Dockare platform.
Generate evidence of therapeutics benefits for newer indications and convert off-label use to labelled product by conducting various research initiatives. RWE for Label expansion includes collation of patient data, analysing, and publishing various types of scientific articles – case studies, series and review articles using Dockares’ services.
EMRs with large pool of clinical grade data are harnessed to identify participants and enrol them through secure messaging (SM) into RWE studies. Dockare achieves this by keeping the end in mind and accurately identifying the patients qualifying to be a part of the study population.
Dockare uses multi-dimensional analysis using the Hybrid data models for RWE studies conducted for generating clinical effectiveness. This data model is designed using various attributes such as data types, constrains, relationships and metadata definitions for the data to be queries and extracted from a research database.
Emerging medical and surgical methods needs constant upgrade of standards of care, continuously re-evaluating the care systems by performing Standards of Care (SoC)-based studies to examine a new SOC versus an existing standard. Dockares’ platform is intuitive in providing comparative insights between clinical endpoints across the various standards of care.