
Founder & Chief Knowledge Officer, Utkarsh Research Network Pvt. Ltd. | Editor, URN Insight | Cochrane Collaboration Member | Global Burden of Disease (GBD) Research Network Contributor | The Lancet Published Author | AI & Health Systems Expert | Epidemiologist | Biostatistician

11th Jan 2026

10:30 AM

Online – Live Interactive Sessions
Stop Conducting Scattered Research—Master Systematic Reviews & Meta-Analysis to Transform Evidence into High-Impact, Published Research


Screening thousands of papers manually, struggling with systematic organization

Manuscripts rejected for PRISMA non-compliance, methodological gaps, or poor reporting

Risk of bias, missing critical data points, quality assessment challenges

SRMA projects stretching 12-18 months with limited team capacity

Confused by meta-analysis methods, heterogeneity interpretation, forest plot analysis

Unsure how to leverage automation without compromising scientific rigor


Conduct rigorous systematic reviews in a fraction of the time – Using AI-assisted literature screening and automated data extraction without compromising scientific rigor.

Transform raw evidence into publication-ready manuscripts – Following GRADE guidelines and international standards that journals actually accept on first submission

Screen thousands of papers accurately in hours, not weeks – Leveraging NLP-powered tools to identify relevant studies while maintaining PRISMA compliance

Earn recognition as an evidence synthesis expert – Publishing in high-impact journals, securing grants, and establishing credibility in your field
BUSINESS MASTERY SUMMIT EVIDENCE SYNTHESIS MASTERY SUMMIT — Where India's Leading Researchers Transform Evidence into Impact


More hours = More success

Do what others are doing

Reduce expenses everywhere

Micromanage for control

Focus = Exponential results

Create your competitive advantage

Increase value per customer

🎯 Stop Guessing. Start Growing with Tested Systems.

A practical learning session where researchers explore real-world data, apply systematic review methods, and gain the confidence to publish evidence-based findings.

Dr. Paramjot Panda conducting a Corporate Training Session on Evidence-Based Research and Systematic Review Methods.

Dr. Paramjot Panda leads an interactive session on Systematic Review and Meta-Analysis, inspiring students to explore the art of evidence-based research. Through practical demonstrations and mentorship, he transforms complex methods into meaningful learning experiences.

An engaging discussion on Systematic Review Methodology fosters teamwork, analytical thinking, and evidence-based understanding. The session emphasizes critical appraisal and practical application of research methods in real-world contexts.


A postgraduate scholar or PhD researcher struggling to structure your systematic review or meta-analysis for your thesis

An academic faculty member looking to enhance your research portfolio with high-impact publications in indexed journals

A healthcare professional or clinician seeking to integrate evidence-based practice into clinical decision-making and policy recommendations

A policy researcher or government health official needing rigorous evidence synthesis to inform public health interventions and program design

Curious about AI integration but unsure how to leverage automation without compromising scientific rigor and methodological standards

Dreamers who never take action (“wantrepreneurs”).

People chasing shortcuts or get-rich-quick formulas.

Those unwilling to put in consistent effort.

Anyone expecting overnight results without real work.

People waiting endlessly for the “perfect moment” to begin.


– Ready-to-use, PRISMA 2020-compliant protocol framework you can immediately apply to your research project

– Standardized forms, bias assessment checklists (ROB 2, ROBINS-I), and quality scoring templates

Step-by-step guide integrating Rayyan.ai, NLP tools, and automation for efficient paper screening

Pre-built Excel/R templates for forest plots, funnel plots, heterogeneity testing, and subgroup analysis

Practical manual for leveraging ChatGPT, ScholarAI, and automation platforms without compromising scientific rigor


Continue manually screening thousands of papers over 3-6 months

Miss opportunities for high-impact publications that advance careers

Spend months revising based on reviewer feedback you could have anticipated

Remain isolated in academic silos instead of joining the evidence-to-action movement

Your peers gain publication advantages, career advancement, and policy influence
The choice is simple: Keep struggling, or take the leap and level up.

Absolutely. We design the curriculum to accommodate all levels—from those who've never conducted a systematic review to experienced researchers looking to integrate AI automation. Our step-by-step approach ensures everyone builds solid foundational understanding before advancing to complex topics like meta-analysis and policy translation.
This intensive one-day workshop provides comprehensive overview, essential frameworks, and practical tools to get you started immediately. Our extended Mission SRMA program offers deeper immersion with hands-on project work, weekly mentorship sessions, and publication support. Think of this workshop as your foundation—many participants later join our extended programs for advanced guidance.
Both. We balance conceptual understanding with practical application. You'll receive templates, tools, and workflows you can implement immediately. We use real case studies, worked examples, and interactive demonstrations to ensure you leave with actionable skills, not just theoretical knowledge.
Basic understanding of research methodology is helpful but not required. We teach meta-analysis statistics in practical context, making concepts like heterogeneity, forest plots, and effect sizes accessible to non-statisticians. If you can understand mean, standard deviation, and confidence intervals, you'll follow along comfortably.
No programming experience required. We introduce user-friendly tools like RevMan, Rayyan.ai, and Excel-based templates that don't require coding. For those interested, we provide optional resources for R-based meta-analysis, but it's not mandatory for the workshop.
We cover industry-standard platforms including RevMan (Cochrane's meta-analysis software), Rayyan.ai (AI-assisted screening), GRADEpro (evidence assessment), Excel/Google Sheets (data extraction), and AI tools like ChatGPT for protocol development. All tools we demonstrate have free or institutional access options.
Yes, if you want to follow along with demonstrations and practice exercises. However, if you prefer to observe and take notes, that's perfectly fine—you'll receive all templates and resources digitally for later implementation.
You'll have the frameworks, templates, and methodology to start your systematic review confidently. Most participants successfully initiate their protocols within 2-3 weeks post-workshop. For complex projects or publication support, we offer optional extended mentorship packages.
This workshop focuses on standard pairwise meta-analysis, which covers 90% of systematic review needs. We introduce concepts like subgroup analysis and meta-regression. For specialized techniques like network meta-analysis or individual patient data meta-analysis, we recommend our advanced modules or one-on-one consultation.
No. This is a LIVE-only experience. We want you fully present and engaged during the event. Recordings will not be provided.
Yes. All participants receive a QR-coded digital certificate with CPD (Continuing Professional Development) recognition valid across India and internationally. The certificate includes workshop curriculum details, duration, and URN's institutional credentials.
Don’t let 2025 be another year of missed opportunities.