NearPoint Real World Evidence Expertise
Expertise with you from start to finish
Synopsis ideation, data analysis and protocol development, with the data in mind. One expert, from your first idea to the final report.
One scientist who stays with your study, start to finish
At NearPoint, one expert carries your question, protocol and results from the first idea to the final report. We focus on fewer studies, so that each one gets the focus so that we define the parameters so the study delivers results.
Your ideas, our execution
You communicate with the scientist who holds on to your idea and works alongside you to develop the design, from first concept through to the population and outcome definition, through to the actual analysis to the final report. We partner with you as one team to unlock the insights that you need. As your single touchpoint from start to finish, we are with you every step of the way, giving us motivation to get the job done well.
To ensure your idea is embedded into the research, we minimise the distance to travel, instead of losing fidelity through layers of junior and mid-level scientists, consultants and commercial teams billing time, our direct model directly works with you as a partner.
Real world evidence studies using retrospective databases need iteration in more than 80% of projects as the population, variables and outcomes that are recorded differ from the standard in clinical trials. On top of this, adherence, multimorbidity and health behaviour all shape how a treatment performs in routine care, and understanding those differences takes sustained focus and experience. We are focused on the data sources where our experience is deepest, so our expertise handles the groundwork so your budget answers the scientific question rather than endless feasibility.
Decades of expertise, automated for consistent quality
We have automated decades of experience in reviewing protocols, code, analyses and documents. Every study passes through the same rigorous checks, so quality is consistent and every client receives our full attention.
Protocol checks
The protocol is checked for internal consistency and against the research question before any analysis begins.
Code list checks
Code lists are reviewed for completeness and consistency with the definitions in the protocol.
Analysis code checks
Analysis code is tested automatically so that the analysis performed is the analysis specified.
Synthetic data checks
Synthetic datasets with a planted answer confirm that our pipelines recover the true result.
Result checks
Figures, tables and text are checked against each other and against the source output.
Clinical relevance review
A medical expert reviews the study design, code lists, representativeness and study population to confirm the study is clinically sound and relevant.
Experienced scientists on every study
Your study is led and reviewed by experts with long experience in real world evidence, including the clinical review of relevance.
Dr. Yau Ming
A physician and senior real-world evidence scientist with over 20 years of experience with healthcare data, spanning biopharmaceutical companies and consultancy. Combines clinical expertise, advanced data science and methodological rigour to design and lead complex studies using electronic health records and brings a distinctive combination of scientific depth and technical capability.
Dr. Anne Marie PhD
>15 years of real world evidence across academia, consultancy and pharma. She is an expert at SAS programming and has published extensively using German, Swedish and UK data. Combining her epidemiology experience and analytical programming, she translates complex healthcare insights into meaningful evidence generation.