Clinical Research Services
Ruisra Software Solutions supports healthcare and pharmaceutical research with Clinical Research Services spanning data management, biometrics, statistics, real world data, and trial technology. The work is practical: keep study data organised, analysis-ready, and usable for the teams who depend on it.
01
Structured handling of clinical study data from collection through review. Support can include CRF and data query tracking, data processing (including double data entry), and coding of diagnoses, adverse events, and drugs.
02
Combined biometrics and data management support so research teams can identify experienced professionals and keep development programmes moving. This includes analysis dataset support aligned with CDISC ADaM where required.
03
Real-World Data is information collected from sources associated with outcomes in everyday settings — including registries, prescribing databases, and electronic medical records. Analysis of RWD can inform protocol design, site selection, patient profiling, and a clearer view of how therapies are used outside tightly controlled trials.
04
Traditional trials can lose participants to travel burden, extend timelines when sites under-enrol, and add cost when paper records must be moved into electronic systems. Virtual trials — also described as decentralized, remote, or site-less — offer a more patient-centric alternative for studies where the design allows it.
05
Biostatistical consulting for study design and protocol development, including statistical analysis plans, DSMB output coordination, interim and final statistical reporting, clinical study report support, CDISC SDTM and ADaM analysis datasets, and randomization support.
06
Programming support for analysis datasets, tables, listings, and figures — so statistical work can be reproduced and reviewed with less friction.
07
Medical and clinical data analysis that helps teams review quality, spot issues earlier, and prepare study information for scientific and operational use.
08
Technology support around trial data capture, transfer, and review — reducing the gap between operational documents and usable electronic datasets.
09
Query management, consistency checks, and review workflows that help keep study data in a state teams can trust before analysis begins.
10
AI-enabled support for clinical data review, document handling, and analytical workflows. These tools assist research teams; they do not replace scientific judgement or regulatory responsibility.
Tell us about the study, the data work, or the specialist support you need. We will confirm next steps by email.