Main Menu

ISPOR Europe 2024

ConnectHEOR is presenting & exhibiting at ISPOR Europe 2024

Meet us at booth #1400

ISPOR Europe 2024
17-20 NOVEMBER | Barcelona | Spain

We are delighted to announce that ConnectHEOR will be an exhibitor at ISPOR EU 2024. Come visit us at Booth #1400, where our team will be ready to connect and share the latest in healthcare innovation! 

Chat with our global experts and discover how we are pushing boundaries in health economic modelling, evidence synthesis, scientific communications, and patient-centric research. Whether you are curious about our innovation or interested in collaborating, we’d love to connect! 

Catch up with our team at ISPOR Europe 2024

TUSHAR SRIVASTAVA

DIRECTOR
HEOR

SHILPI SWAMI

VP
HTA & STRATEGY

ADAM BALL

BUSINESS
DEVELOPMENT

RADHA SHARMA

DIRECTOR
PATIENT CENTERED OUTCOMES RESEARCH

KATE REN

DIRECTOR
STATISTICS AND EVIDENCE SYNTHESIS

HUGO PEDDER

SENIOR CONSULTANT
STATISTICS AND EVIDENCE SYNTHESIS

RAJU GAUTAM

DIRECTOR
EVIDENCE REVIEW

JUDIT BANHAZI

VP
ACCESS AND VALUE

Our Scientific Dissemination

In addition to our exhibition, we’re excited to announce that ConnectHEOR will be hosting two existing speaking sessions at ISPOR EU this year.

Exhibit Hall Theatre on Generative AI: the frontier in health economic model conceptualization (November 18, 3:45 PM CET)

Educational Symposium on Indirect treatment comparison methodology: unlocking the essentials for robust analysis (November 19, 3.15 PM CET)

We are also excited to present 30+ posters covering various innovative topics, spanning several topics on Generative AI in health economic modelling and patient-centric research, advanced evidence synthesis methods, real-world data sources for Fabry disease, pragmatic approach for data extraction from single-arm real-world studies, health and economic impact of delayed access of cancer therapies, and structure expert elicitation.   

Let’s Connect

We are thrilled to welcome you to our booth. Lots of goodies are waiting for you with imprinted motto of ‘Kindness is Cost-EffectiveTM‘.

Wishing you a safe journey to Barcelona. See you soon!
Schedule a meeting with us to know more
Schedule a meeting

Program Details

A. Theatre Hall Presentation
Educational Symposium
S.no. Session Title Details Moderator Speakers Date & Time (CET)
01

Generative AI: The Next Frontier in Health Economic Model Conceptualization

In recent years, advances in artificial intelligence (AI), particularly with large language models (LLMs) such as the Generative Pre-trained Transformer 4 (GPT-4), have shown potential to revolutionize various domains by automating complex cognitive and reasoning tasks. The aim of this session is to discuss how LLMs can be utilised in HEOR reasoning problems, specifically related to conceptualising the natural history of the disease and recommending potential model structures. Click on the link for more details.
Shilpi Swami (ConnectHEOR)
Tushar Srivastava (ConnectHEOR),

Vladimir Babiy (Novartis)
Monday, 18th November
3.45 – 4.15 pm
S.no. Session Title Details Moderator Speakers Date & Time (CET)
01
Indirect Treatment Comparison Methodology Matters:
Unlocking the Essentials for Robust Analysis

This session will talk about innovations in indirect treatment comparison methodologies and introduce alternative approaches to matching-adjusted indirect comparison, including simulated treatment comparison and multilevel network meta-regression, with a special focus on applications to time-to-event outcomes. Click on the link for more details.
Shilpi Swami (ConnectHEOR)
Rhys Williams (BeiGene),

Shijie Ren (ConnectHEOR),

David Phillippo (University of Bristol)
Tuesday, 19th November
3.15 – 4.15 pm
C. Poster Presentations
S.no. Poster Title Authors Poster code Session # Date & Time (CET)
01
Human Vs. Machine: AI Frameworks and Recommendations in HEOR
Shilpi Swami, Tushar Srivastava
MSR41
1
Monday, 18th November
10.30 am – 1.30 pm
02
Can Gen-AI Plugins Work as a Savior for MS-Excel Based Health Economic Models?
Tushar Srivastava, Shilpi Swami,
MSR44
1
Monday, 18th November
10.30 am – 1.30 pm
03
Tackling Heterogeneity in Indirect Treatment Comparison (ITC): A Comparative Review of NICE Submissions in Oncology Versus Non-Oncology
Shijie Ren, Anurag Gupta, Raju Gautam, Tushar Srivastava
HTA67
1
Monday, 18th November
10.30 am – 1.30 pm
04
The Power of Listening: Reaffirming the Value of In-Depth Interviews with Patients in Healthcare Research
Radha Sharma, Shilpi Swami, Tushar Srivastava
PCR120
2
Monday, 18th November
4.00 – 7.00 pm
05
How Delays in Access Are Losing the Battle Against Cancer: The Impact on Patient and Economic Outcomes
Shilpi Swami, R Lakshmi, Radha Sharma, Leyla Mohseninejad
HTA146
2
Monday, 18th November
4.00 – 7.00 pm
06
Can excess hazard model enhance survival analysis in health technology assessment?
J Forsyth, Shubhodeep Mitra, R Wong, Tushar Srivastava, Shijie Ren
HTA112
2
Monday, 18th November
4.00 – 7.00 pm
07
Leveraging Large Language Models for Conceptualizing Health Economic Models: A Feasibility Study in Oncology
Tushar Srivastava, Shilpi Swami, Thai-son Tong
EE504
3
Tuesday, 19th November
10.30 am – 1.30 pm
08
Enhance Attribute Identification with AI: More Nuanced and Resource Efficient Patient Preference Research
Radha Sharma, Maithreyi Thamattoor, Shilpi Swami, Tushar Srivastava
PCR179
3
Tuesday, 19th November
10.30 am – 1.30 pm
09
Uncovering Worldwide Real-World Data Sources for Fabry Disease
Raju Gautam, Ratna Pandey, Shilpi Swami, Tushar Srivastava
SA72
3
Tuesday, 19th November
10.30 am – 1.30 pm
10
How do STC and ML-NMR compare in population adjustment for ITC? Insights and challenges
Hugo Peddar, Tushar Srivastava, Shijie Ren
MSR108
3
Tuesday, 19th November
10.30 am – 1.30 pm
11
Nudging Forward: Behavioral Economics and Artificial Intelligence as Catalysts in HEOR
Shilpi Swami, R Lakshmi, Tushar Srivastava
MSR176
4
Tuesday, 19th November
4.00 – 7.00 pm
12
A Pragmatic Data Extraction Approach for a Systematic Literature Review for Indirect Treatment Comparison Using Single-Arm Real-World Studies
Raju Gautam, Shijie Ren, Tushar Srivastava
SA95
4
Tuesday, 19th November
4.00 – 7.00 pm
13
Thinking Enough? Evaluating Advanced LLM Reasoning Algorithms in HEOR
Tushar Srivastava, Shilpi Swami
MSR233
5
Wednesday, 20th November
9.00 – 11.30 am
14
Can Gen-AI Assist in Interpreting the Health Economic Model Results As per Target Audience?
Shilpi Swami, Tushar Srivastava,
MSR228
5
Wednesday, 20th November
9.00 – 11.30 am
15
Enhancing expert elicitation in health technology assessment: practical insights and recommendations
Shijie Ren, J Forsyth
SA113
5
Wednesday, 20th November
9.00 – 11.30 am

And many more …

ConnectHEOR HEM-X™​

We bring to you a new Era of HEOR where human intelligence Connects Artificial Intelligence!

ConnectHEOR is proud to be at the forefront of integrating Generative AI for conceptualizing health economic models. Our recent presentation at ISPOR Atlanta 2024 received an overwhelming response, showcasing our proprietary platform HEM-X™, which is specifically trained for health economic model conceptualization and best practices.

HEM-X™ employs a Human Intelligence (HI) in-the-loop approach, combining the strengths of Large Language Models (LLMs) with critical oversight from human health economists.
To know more about our HEM-X™ tool or how we are integrating Gen-AI into modelling and other domains of HEOR, meet our team at out booth #1400.

Click here to know more about our services. Click here to read our latest publications.

Academy Buzz​

After the immense success and excellent feedback on our most popular live course Bootcamp10: Health Economic Modelling using MS-Excel, we are launching a ‘do at your own pace’ version soon in September. Register your interest for this training at our booth or email academy@connectheor.com for more information or questions.

To know more about our services Click Here 
Linkedin Youtube

© Copyright ConnectHEOR 2025 | All Rights Reserved

Contact Us

Locations

  • London, UK (Headquarters)
  • Alberta, Canada
  • Delhi, India

Legal

Judit Banhazi

Specialty
Value and Access

Role
Vice President

Degree
MD Medicine, JD Law

Judit Banhazi

MD Medicine, JD Law

Judit Banhazi, based in Basel, Switzerland, brings over 20 years of experience in HEOR, Market Access, and Health Policy.
She has led HEOR strategies in hematology and initiated EU HTA policy activities. Judit began her career as a physician and has worked at prime global pharma companies. Her academic prowess is excellent with a peculiar combination of an MD in Medicine and a JD in Law, she has been at forefront of health economics by being involved in HTA policy discussions with EFPIA and HTAi.
Known for her collaborative spirit and practical approach, Judit is passionate about learning and delivering quality work. Outside of work, she enjoys spending time with family and friends, travelling, and running.

Adam Ball

Specialty
Business Development Manager

 

Adam Ball

Business Manager

I am delighted to be part of the team here at ConnectHEOR. To tell you a bit about me, I have 10 years experience within Talent Acquisition within HEOR, RWE and Market Access. I have built a global network during this time and am excited to utilize this to help us grow as business. 

 

Outside of work I love sports, playing football and squash regularly, as well as going to the gym. I also enjoy watching sports mainly football and tennis. I have a new born daughter too so she is taking up a lot of my time and is a bundle of joy. I also play drums and like to think I have a broad taste in Music.

 

Eleni Tente

Specialty
Medical writing, Evidence planning

Role
Consultant, Medical writer

Degree
PhD – Molecular biology and genetics

Eleni Tente

PhD – Molecular biology and genetics

Eleni Tente is an experienced medical writer with proven ability to translate complex scientific information into clear, concise, and impactful content to diverse audiences. She has a strong background in integrated evidence planning, publications, internal communications and e-learning development, complemented by an understanding of various therapeutic areas.

Eleni holds a PhD in molecular biology and genetics from the University of Cambridge and an MSc in plant genetic manipulation from the University of Nottingham.

In her free time, Eleni enjoys diving into a good book, fishing along the coast, or planning her next thrilling scuba diving adventure to swim with sharks.

Syed Salleh

Specialty
HTA Modelling and Discrete-event Simulation

Role
Consultant, Modeling & Analytics

Degree
PhD – Health & Related Research

Syed Salleh

PhD. Health & Related Research

Syed Salleh brings extensive experience in HTA modeling, having successfully led the development of both de novo and adaptation models for HTA listings across multiple countries, including Malaysia, Philippines, and the UK. His work spans key therapeutic franchises such as oncology, cardiometabolic, and respiratory. Syed has also delivered critical insights to healthcare professionals through MYSPOR, ITTP, and IKN virtual CME events and numerous publications.

He holds a PhD in Health and Related Research from the School of Health and Related Research (ScHARR) at the University of Sheffield, UK, with a specialization in HTA and operational research, specifically in discrete-event simulation (DES) technique.

During his time in a leading pharmaceutical company, Syed played a key role in securing the listing of several key products in the Malaysia Ministry of Health Formulary and served as the primary contact for DES-related projects.

Besides work, Syed enjoys traveling, listening to music, and spending quality time with his family.

Thai-Son Tong

Specialty
Model Conceptualization and Data Analytics

Role
Senior Consultant

Degree
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.

Shilpi Swami

Specialty
Consulting and strategy

Role
Vice President

Degree
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 endeavors, she remains dedicated to improving healthcare through data-driven insights and evidence-based research

Hugo Pedder

Specialty Statistical Analysis and Evidence Synthesis

Role Senior Consultant

Degree PhD – Statistical Modelling

Hugo Pedder

PhD – Statistical Modelling

Hugo brings in a wealth of experience to ConnectHEOR from his extensive work in academia, focusing primarily on evidence synthesis and meta-analysis. Hugo holds PhD in Statistical Modelling from University of Briston and MSc in Medical Statistics from the London School of Hygiene and Tropical Medicine, and his background in neuroscience remains a passionate interest. Alongside working with ConnectHEOR, Hugo continues to part of NICE committee. His expertise includes advanced indirect treatment comparisons technique and has extensive experience of working with the NICE in UK. 

Beyond professional endeavors, Hugo is an enthusiastic outdoor adventurer, particularly enjoying mountain activities, climbing and ski mountaineering. From building rafts to exploring rivers in north of Sweden, he has lived an adventurous life outside of work and plans to continue to do so.

Kunal Hriday

Specialty
Data science and Strategy

Role
Senior Consultant

Degree
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, product lifecycle 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. 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 environmental economics and related theories of welfare optimization.

Raju Gautam

Specialty
Evidence Review

Role
Principal Consultant

Degree
PhD (Pharmacy)

Raju Gautam

PhD Pharmacy

Raju Gautam spearheads evidence review at ConnectHEOR and  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.

Radha Sharma

Specialty:
Patient preference research, survey, In-depth interviews, COA, Evidence review and conceptualisation of study

Role:
Director – Patient-Centered Outcomes Research

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

Radha Sharma

PhD (Global Public Health)

Radha Sharma spearheads Patient-Centered Outcomes Research at ConnectHEOR. She has a background in medicine, public health, and epidemiology.

Her expertise includes global health research, preference elicitation, mixed-method studies, consensus workshops, qualitative health research, epidemiological analysis of big data sets, RWE study design, scientific writing, and literature reviews. Her primary focus is integrating patient perspectives into all stages of health technology assessment (HTA) and healthcare decision-making processes.

Her extensive expertise in mixed-method studies and active patient/stakeholder engagement ensures that her research is methodologically rigorous and patient-centric. Radha is an avid hiker and enjoys exploring the beautiful Canadian Rockies.

Kate Ren

Specialty
Statistical Analysis and Evidence Synthesis

Role
Director of Statistics

Degree
Ph.D Probability and Statistics

Kate Ren

PhD Probability and Statistics

Kate spearheads Statistics and Evidence Synthesis at ConnectHEOR. She has more than 10 years of experience in conducting statistical analysis in HTA. 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, STC, ML-NMR etc. Besides working with ConnectHEOR, she is also a part of NICE Committee and University of Sheffield.

Tushar Srivastava

Specialty
Decision Modelling and AI Initiatives

Role
Director and Principal Consultant

Degree
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.”

In ConnectHEOR, Tushar spearhead all HEOR activities.

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.

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