Real-World Evidence & Patient Insights
PATIENT-CENTERED INSIGHTS FOR LIFE SCIENCESUnderstanding how patients and caregivers experience disease, treatment pathways, and healthcare systems is essential for developing meaningful therapies, improving patient outcomes, and supporting evidence-based healthcare decisions. MadeAi’s Patient & Real-World Insights services combine AI-enabled analytics with expert research methodologies to help life sciences organizations uncover authentic patient perspectives across real-world data sources.
By analyzing patient conversations, lived experiences, and caregiver perspectives, MadeAi helps pharmaceutical and biotech teams better understand treatment journeys, unmet needs, and the real-world impact of disease—supporting more patient-centered research, development, and engagement strategies.
AI-Powered Patient Insights
60%
Faster Screening & Extraction
50-60%
Operational Cost Savings
>99%
SME + AI Accuracy
100%
Scalable & Repeatable Success
Explore our ROI White Paper to learn how these results were measured, benchmarked, and validated, with detailed methodology and real-world outcomes.
Unlock Patient & Real-World Insights with AI-Driven Research
Our platform and expert services support multiple methodologies designed to capture and analyze real-world patient perspectives, including:
Patients increasingly share their healthcare experiences through online communities, forums, and social platforms. Healthcare Social Media Listening services enable organizations to analyze these conversations to understand how patients discuss symptoms, treatments, side effects, and quality-of-life impacts.
MadeAi applies AI-powered natural language processing to analyze large volumes of patient conversations across digital platforms while identifying emerging themes, treatment perceptions, and evolving patient concerns.
Social media listening is commonly used for:
- Identifying emerging patient concerns and unmet needs
- Understanding real-world treatment experiences
- Monitoring patient sentiment and therapy perception
- Detecting trends in disease discussions and support communities
Payers, regulators, and HTA bodies increasingly expect evidence drawn from routine clinical practice, not only from the controlled trial setting.
MadeAi synthesizes observational studies, registries, and published literature to show how a therapy performs in practice and how it compares with existing options, with every finding traceable to its source.
Real-world evidence research is commonly used for:
- Building comparative effectiveness evidence
- Supporting payer and HTA submissions
- Closing trial-to-practice evidence gaps
- Informing lifecycle and indication strategy
Patient-reported outcomes capture how a treatment affects symptoms, functioning, and daily life in the patient’s own words, and now carry real weight in regulatory and value discussions.
MadeAi helps teams appraise validated PRO instruments, synthesize published PRO evidence across studies, and turn the results into submission-ready summaries for regulatory and market access audiences.
Patient-reported outcomes research is commonly used for:
- Selecting fit-for-purpose PRO instruments
- Synthesizing published PRO evidence
- Supporting label claims and value messaging
- Strengthening patient-centered endpoints
Patient journey mapping analyzes the full pathway patients take from symptom onset through diagnosis, treatment decisions, and long-term disease management.
MadeAi helps life sciences teams map real-world treatment pathways by combining patient-reported insights, social listening data, and scientific evidence to identify critical decision points and barriers to care.
Patient journey mapping is commonly used for:
- Understanding diagnostic delays and care pathways
- Identifying barriers to treatment access or adherence
- Improving patient engagement strategies
- Supporting patient-centered drug development
Tailored Stakeholder Reports
Our team delivers evidence tailored to the specific needs of regulatory, market access, clinical, and scientific stakeholders.
Health Technology Assessment & Market Access
Evidence structured for the HTA submissions and payer conversations that decide access.
Clinical & Evidence Strategy
Landscape, comparator, and evidence gap analysis to inform development and positioning decisions.
Scientific Publications & Medical Communications
Peer-reviewed manuscripts, congress materials, and scientific narratives built on synthesized evidence.
Regulatory & Compliance
Submission-ready documentation with every claim linked back to its source.
Compliance & Good Practices
MadeAi supports model and dossier development aligned with recognized HEOR, evidence synthesis, and market access standards. Economic models follow ISPOR good-practice recommendations, while reporting adheres to CHEERS 2022 standards. Systematic reviews strictly apply PRISMA 2020 principles, and US formulary dossiers align with AMCP Format 4.1/5.0.
We tailor each deliverable to the specific methodological and submission requirements of key health technology assessment (HTA) bodies—including NICE, IQWiG, Canada’s Drug Agency (CDA-AMC), PBAC, and the EU Joint Clinical Assessment (JCA) framework.
Human Expertise, Enhanced by AI
Our team combines therapeutic knowledge, regulatory experience, and AI expertise to deliver high-quality, reliable outputs.
Therapeutic Area Experts
Deep clinical expertise across a wide range of therapeutic areas, including oncology, rare diseases, and immunology.
Regulatory & Market Access
Hands-on submission experience across NICE, EMA, FDA, and global payer bodies.
AI-Skilled Domain Specialists
Subject matter experts skilled in AI workflows, combining human judgment with AI efficiency.
MD, PhD & PharmD Professionals
Credentialed clinicians and pharmacologists ensuring clinical validity and scientific rigor at every stage.
Cross-Functional Collaboration
Integrated expertise across clinical, regulatory, and commercial functions to keep evidence aligned and decision-ready.
Choose the Right Engagement Model
Do-It-Yourself
Software as a Service
Done-For-You
Hybrid: Software + SME
Build-Operate-Transfer
Customized Version
Choose which option or combination of support models works best for your business.
Case Studies & Scientific Research
See what our products can do for you
Book a demo today to see how our Patient & Real-World Insights services can transform your workflows and drive success. Our experts are ready to support your unique research needs, so schedule your personalized demo now.
FAQ
MadeAi Patient & Real-World Insights Services combine AI analytics with expert research methodologies to gather authentic patient and caregiver perspectives from real-world data sources. The services support patient-centered drug development, value demonstration, and engagement strategies in pharmaceutical and biotech organizations.
MadeAi applies AI-powered natural language processing to analyze large volumes of patient conversations across forums and social platforms. It identifies emerging unmet needs, treatment perceptions, side effects, and sentiment trends with full traceability.
AI-driven patient journey mapping reveals diagnostic delays, treatment barriers, adherence issues, and critical decision points. Life sciences teams use these insights to improve patient engagement, support programs, and patient-centered clinical development.
MadeAi analyzes patient narratives and caregiver feedback to quantify the physical, emotional, and financial burden of disease. The resulting insights strengthen value dossiers, identify opportunities for innovation, and support evidence generation for Pricing and Reimbursement.
Caregiver research provides a complete picture of disease impact, especially in chronic conditions. MadeAi’s AI-assisted caregiver insights help design better support programs and strengthen patient-centered value stories for HTA and payers.
MadeAi combines AI-analyzed patient conversations with clinical literature and Real-World Evidence (RWE) to create comprehensive patient journey maps and burden analyses. The hybrid approach delivers actionable, evidence-based insights with scientific rigor.
Key use cases include identifying unmet needs, mapping treatment pathways, quantifying disease burden, informing clinical development priorities, and strengthening patient engagement strategies for HEOR, Medical Affairs, and Pharmaceutical Market Access teams.
MadeAi pairs AI natural language processing with expert qualitative research methods and human validation. Every insight is traceable and integrated with peer-reviewed evidence, meeting the standards required for regulatory and payer submissions.