Patient Centric

Charting our path towards supporting holistic healthcare decision-making

Our patient-centered research revolves around creating patient-centered evidence, recognized by payers and regulators. As your trusted partner, we conduct preference studies (e.g., DCE), health utility studies, qualitative research, and clinical outcome assessments using innovative approaches. Choose us to achieve impactful, patient-focused outcomes.

Our Vision

Patient voices are instrumental at every step. They provide essential guidance, lending real-world perspectives to research and development. By actively involving patients/caregivers throughout the product lifecycle, we enhance our capacity to create healthcare solutions that are not only effective but also compassionate, respectful of individual needs, and patient-driven.

Patient centricity at every stage

We integrate patient perspectives throughout all development stages, ensuring their needs drive our strategies from pre-clinical to market access.


Identifying and understanding the unmet needs crucial for targeted product development.


Optimizing study design and capturing the relevant measures thought the clinical phases

Post-Market Access

Understanding the facilitators and barriers to support increased utilization/access

Regulatory / Market Access

Capturing utilities for economic evaluation, secondary analysis of trial data and/or RWD

How do we make a difference?

Our ultimate objective is to enhance patient outcomes, but achieving this goal hinges on active engagement and the seamless integration of patient perspectives. Without their input, our efforts lack the depth and precision needed to make a tangible difference in their lives. We go beyond the conventional methods and embrace cutting-edge approaches to integrate patient-centricity at every step, thus cultivating patient-centered evidence that resonates with payers, regulators, and healthcare providers. At ConnectHEOR, making a difference means prioritizing patients and delivering solutions that truly matter.

How we make a difference PCR

Everything you may need

Preference Studies


  • Discrete Choice Experiments (DCE)
  • Quantitative Risk Benefit Assessment (QBRA) using Multi Criteria Decision Analysis (MCDA)
  • Delphi panels

    Health Utility Studies


  • Utility estimation from existing tools (EQ-5D)
  • Utility mapping and generation
  • Uncertainty analysis
  • Q-TWIST analysis (Quality-adjusted Time Without Symptoms of disease and Toxicity)

    Clinical Outcome Assessment


  • Instrument design and development
  • Data analytics using diverse biostatistics applications
  • Scientific communication and dissemination

    Qualitative Research


  • In-depth interviews
  • Focused-group discussions
  • Patient-public involvement (PPI)
  • Mixed-methods studies
  • Qualitative evidence synthesis (literature reviews)
  • Patient journey studies


  • Case Study

    Assessing patient preferences to improve efficacy of treatment for Urinary Incontinence

    The Problem

    A pharmaceutical company specializing in urology and urogynecology, was faced with the challenge of improving their treatment for urinary incontinence. They aimed to gain a comprehensive understanding of patient preferences regarding treatment options, specifically focusing on the efficacy in reducing symptoms and the burden of adverse effects. The company wanted to understand the patient preferences for a specific treatment for urinary incontinence, to further modify the treatment and understand the unmet need with respect to symptom reduction, burden due adverse effects.

    The Solution

    To address this issue, we undertook a multifaceted research approach, combining mixed method research (surveys + in-depth interviews) and discrete choice experiment.

    01. Mixed-Method Research:

    A targeted literature review was conducted to gain insights into existing research on urinary incontinence treatments and patient preferences.

    To inform the discrete choice experiment, in-depth interviews were conducted with a select group of patients to qualitatively explore their experiences, concerns, and preferences regarding treatment options.

    Followed the NICE-accepted method guidance and sought clinical expert advice throughout the modelling process Conducted statistical (survival and utility data) analysis of patient-level trial data using R and R Knitr Assessed uncertainty around OS extrapolation by generating more than 120 scenarios in the model.

    02. Discrete Choice Experiment:

    A discrete choice experiment was conducted to quantitatively assess patient preferences for various treatment attributes.

    Treatment choices were detailed in terms of attributes such as efficacy in reducing symptoms and the likelihood of experiencing typical adverse events.

    A fractional orthogonal design was utilized to combine choice sets, ensuring efficient data collection and analysis.

    The conditional logit model was used for data analysis, allowing for the estimation of preference weights for different treatment attributes.

    Marginal rates of substitution were calculated to demonstrate the relative value of trade-offs between the various attributes, shedding light on the trade-offs patients were willing to make in their treatment choices.

    03. Online Survey on HRQOL Impact:

    To gain a deeper understanding of the Health-Related Quality of Life (HRQOL) impact of adverse events associated with treatment, an online survey was administered.

    The survey collected data on adverse event attributes and their impact on patients’ daily lives.

    Regression analysis was performed to analyze the relationships between adverse events and their effects on HRQOL.

    Connect with us

    Model Conceptualization and Data Analytics

    Senior Consultant

    PhD – Health Economics

    Thai-Son Tong

    PhD. Health Economics

    Thaison Tong has extensive work experience in health economics, decision modelling and big data analysis. He has a unique mix of experience in HEOR and RWE related research in academia and pharmaceutical industry. His expertise lies in health technology assessments (HTA), health economic modelling, simulation modelling, big data analytics and decision analysis. He has hands-on experience in a range of software and programming languages including R, R Shiny, R Markdown, Python, MS Excel, VBA, and Simul8. He has substantial experience of the health care system in the UK and other European countries. 

    Thaison has direct experience in building cost-effectiveness models from scratch and conducting big data analysis in several disease areas including dementia, vascular disease, and cancer. 

    Thaison’s PhD focus was to develop a de novo patient level model for the evaluation of different cognitive screening tests for early detection of dementia and mild cognitive impairment in primary care. He also looked at different methods for conducting economic evaluation in health care taking a broader/societal perspective. In addition, he investigated the use of Multiple Criteria Decision Analysis (MCDA) for economic evaluation.

    Thaison also holds Academic Researcher position in School of Health and Related Research (ScHARR), University of Sheffield, UK and Honorary Researcher position in University of Bristol, UK.

    Thaison’s likes to meditate, and play badminton, basketball and tennis.

    Consulting and strategy

    Vice President

    MSc. International Economics

    Shilpi Swami

    MSc. International Economics

    Shilpi Swami is a seasoned Health Economics and Outcomes Research (HEOR) expert with experience spanning across multiple healthcare systems and therapy areas. At her current role of Vice President, HTA and Strategy, ConnectHEOR, she provides technical and strategic leadership. Additionally, Shilpi serves as the Member Engagement Co-Chair at ISPOR Oncology Special Interest Group.

    Shilpi has a comprehensive track record of leading HTA submissions and devising market access strategies on a global scale, including the EU-5, Canada, US, Latin America, Australia, and Asia. Shilpi has worked across various sectors within health economics, including academia, consulting, and biopharma. This multidimensional experience equips her with a unique ability to offer strategic insights from various stakeholders’ perspectives.

    Formerly a Research Fellow at the University of York, Shilpi has made significant contributions to public health projects and the development of best practices in the academic side of health economics. In her professional endeavours, she remains dedicated to improving healthcare through data-driven insights and evidence-based research.

    Health Technology Assessment

    Scientific HTA Advisor

    Ph.D, MBA, Stockholm School of Economics

    Prof. Egon Jonsson

    PhD Economics

    Professor Jonsson has more than 25 years of experience as a leader and researcher at national and international organizations on Health Technology Assessment (HTA) including Health Economics. He is very knowledgeable of the regulatory requirements of pharmaceuticals, medical devices and other health technologies and services, in many of the European countries, Canada, and US, as well as of several Asian countries. He has performed many syntheses of scientific findings through systematic reviews, cost-effectiveness, cost-benefit, and budget impact analyses, modelling studies, meta-analyses, RWE and HEOR studies. He is known for his ability to engage with decision makers in agencies and at the ministerial levels, and with clinicians in primary health services and hospital care as well as with patient organizations and the general public. He is good at presenting scientific findings along with their economic, medical, social and quality of life implications in such a way that it supports the uptake of effective technologies and services provided by the life sciences industry.  He has a huge international network of researchers, HTA experts, clinicians and decision makers in Governments, Academia and Industry.

    Professor Jonsson received his Ph.D. and MBA from the Stockholm School of Economics in Sweden and further training at Harvard School of Public Health in the U.S. He was one of the founders of HTAi, its Society, and scientific Journal of which he was a long time Co-Editor -The International Journal of Technology Assessment in Health Care. He successfully has taken on several major roles as manager and leader of organizations in evidence-based health care; such as being the CEO of the Swedish Agency for Health Technology Assessment (, the Leader of the WHO Health Evidence Network (WHO. Int.Hen), and as the CEO of the Institute of Health Economics in Edmonton, Canada ( He has done several hundreds of HTAs. His publications include more than 90 peer reviewed manuscripts, and as Editor of about 20 books on a variety of diseases and disorders. He has served as a long-time advisor to Ministers and Ministries of Health in Sweden, Vietnam and of the Government of Alberta.

    Professor Jonsson has been a consultant in HTA in many countries of Europe, Asia and the former Republics of the Soviet Union, on behalf of the European Commission, WHO, the World Bank, and the Swedish Medical University Karolinska Institute.

    Besides, Professor Jonsson has award on his name – ‘The Egon Jonsson Award’. This award was established in 2010, and is given annually by HTAi to the authors of an outstanding paper in the society’s official journal published over the past year.

    Big Data Analytics

    Senior Consultant

    MSc. Quantitative Economics

    Kunal Hriday

    MSc. Quantitative Economics

    Kunal Hriday is a business strategy and data science professional with experience in helping organizations crack through notorious business challenges. Kunal is proficient in business analytics, data analytics, database management and business development. Working as a Data analytics consultant he has spent time in problem solving across variety of industries including Banking, logistics and Health and is now fully dedicated to HEOR related analytics. Kunal has hands on experience in various statistical programming tools and languages like R, Python, SAS, Excel VBA, Data Robot and data visualization tools like Power BI, Tableau and SAS VA.

    Kunal also holds a Masters in Quantitative Economics from Indian Statistical Institute and a bachelors degree in Business Economics. Excellent in business communication, he is passionate about studying economics and welfare optimization theories.

    Review and Scientific Communication

    Principal Consultant

    PhD (Pharmacy)

    Raju Gautam

    PhD. Pharmacy

    Raju Gautam has extensive work experience in evidence review and synthesis, value communications, scientific publications, medical writing and project management.
    His expertise lies in systematic and targeted literature reviews, meta-analyses, network meta-analyses, value communications (AMCP and Global Value Dossiers), RWE study design and publications (manuscripts, posters, and abstracts).
    He has experience working in Global pharma companies, consulting and CRO environment for several therapy areas including Cardiovascular, Oncology, Neurology, Respiratory, Ophthalmic, Rare Diseases, and Vaccines. He has more than 40 publications in international journals as an author.
    Raju also likes jogging, yoga and meditation.

    Scientific Writing, Literature Reviews, Evidence Synthesis, Meta-analysis, Real World Evidence

    Senior Consultant (Director) – (Review and Patient-Centric Research)

    MBBS (Bachelor of Medicine and Bachelor of Surgery), PhD (Global Public Health) – University of York

    Radha Sharma

    MBBS, PhD (Global Public Health)

    Radha Sharma is an evidence synthesis scientist with a background in medicine, public health and epidemiology. Her expertise includes global health research, epidemiological analysis of big data sets, RWE study design, literature reviews, meta-analysis, scientific writing, and qualitative health research.

    With a unique combination of clinical and academic skills, Radha facilitates Health Technology Assessment (HTA) reimbursement submissions and value dossiers by conducting systematic reviews, writing and reviewing clinical sections, and effectively communicating scientific findings.

    Her experience in conducting statistical and econometrics analyses, along with her in-depth knowledge of global health research and qualitative health research, ensures that the results of her systematic reviews and meta-analyses are robust and accurate.
    Radha is an avid hiker and enjoys exploring the beautiful Canadian Rockies.

    She also often spends her time painting on large canvases with acrylics.

    Statistical Analysis and Evidence Synthesis

    Director of Statistics

    Ph.D Probability and Statistics

    Kate Ren

    PhD Probability and Statistics

    Dr. Ren is our senior statistical expert and spearheads department of Statistics at ConnectHEOR. She has more than 10 years of experience in conducting statistical analysis in HTA. Kate is also a Senior Research Fellow at School of Health and Related Research (ScHARR), University of Sheffield. Kate has PhD in Probability and Statistics specialising in Bayesian methods in clinical trial design. She specializes in Bayesian methods in health economics and the elicitation of experts’ beliefs and has extensive experience of conducting evidence synthesis, including, meta-analysis, network meta-analysis, MAIC, etc.

    Kate has extensive experience for critiquing network meta-analysis methods in single technology appraisals (STAs) and undertaking network meta-analyses for multi technology appraisals (MTAs) for NICE.

    Decision Modelling and AI Initiatives

    Director and Principal Consultant

    MSc – Statistics and Computing

    Tushar Srivastava

    MSc – Statistics and Computing

    Endorsed as a ‘Global Talent’ by prestigious ‘The Royal Society, UK’, Tushar is dynamic and  enjoys approaching complex problems with a holistic approach. He also holds an MSc. in Statistics and has authored a handbook on higher Mathematics, “A concise handbook of vector space theory and field theory, Srivastava T.”

    Tushar’s technical expertise lies in different techniques including cost-effectiveness modelling, budget impact modelling, simulation modelling, statistical modelling and indirect comparisons analysis. He brings a unique blend of academic research, technical modelling and statistical skills and industry professionalism to support the life science industry at every stage of the product life cycle. He has a good experience in statistical analyses, including survival analysis and health related quality of life data analysis from clinical trials.

    Tushar has worked in multiple  disease areas including oncology, CVD, infectious diseases, rare-diseases such as Fabry disease, ulcerative colitis, Crohn’s disease, and multiple sclerosis. He has extensive experience of product launch in countries in Europe, the United States, Latin America, and Australia. He also holds an Academic Researcher position in ScHARR, University of Sheffield, UK.

    Besides work, Tushar enjoys playing badminton, jogging, and meditating.