Sold by: Pharmacoevidence Private Limited
An enterprise AI platform that automates the full systematic literature review workflow—from dual-phase screening and conflict resolution to structured data extraction and NMA-ready report generation. Designed for HEOR and HTA submissions, it ensures PRISMA alignment, traceability, and audit-ready outputs at scale.
Overview
This AI‑powered Systematic Literature Review (SLR) service streamlines evidence‑synthesis workflows for HEOR, HTA, and regulatory teams. It supports dual‑phase screening (Title/Abstract and Full Text) with configurable Human‑AI, AI‑AI, or Human‑Human review models, ensuring consistent, defensible, and reproducible study selection across global submissions.
Automated conflict resolution highlights reviewer discrepancies and generates structured rationales for adjudication. Integrated quality‑control tracking maintains PRISMA alignment and full auditability throughout the screening process. All decisions are logged with traceability suitable for regulated environments, enabling transparent, inspection‑ready documentation.
A schema‑driven extraction engine converts unstructured scientific literature into analysis‑ready datasets that integrate seamlessly into downstream workflows such as Network Meta‑Analysis (NMA), Indirect Treatment Comparison (ITC), and health economic modeling. Structured outputs accelerate evidence synthesis and reduce the manual burden on cross‑functional teams.
Automated reporting capabilities generate PRISMA flow diagrams, study lists, methodology summaries, NMA feasibility assessments, and structured evidence reports—reducing coordination cycles while maintaining regulatory rigor and submission‑ready quality. The service provides a complete, audit‑ready evidence package aligned with global HTA and regulatory expectations.
This service is delivered on a secure, AWS‑native architecture. Pharmacoevidence’s SLR workflows use Amazon EC2 and Amazon EKS for scalable compute, Amazon RDS and Amazon S3 for evidence storage, and Amazon Bedrock for retrieval‑augmented generation. Monitoring, auditability, and security are supported through AWS CloudWatch, AWS CloudTrail, IAM, and VPC‑isolated environments with KMS encryption and Secrets Manager for credential governance. The architecture follows AWS best practices for regulated life sciences workloads.
Highlights
- Dual‑phase AI screening with automated conflict resolution and PRISMA‑aligned QC
- Structured evidence extraction exportable to Excel, NMA, ITC, and modeling workflows
- Automated PRISMA diagrams, study lists, and NMA feasibility reporting
Details
Delivery method
Deployed on AWS
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Support
Vendor support
Pharmacoevidence provides responsive, enterprise‑grade support for all AWS Marketplace buyers, including onboarding assistance, configuration guidance, and timely technical response. Our team is committed to ensuring a smooth experience from initial setup through ongoing use, with clear SLAs and an elevated support tier for organizations requiring deeper engagement.
99.5% uptime SLA
Dedicated onboarding and configuration support to ensure smooth setup and workflow alignment
Technical response within 24 business hours for all support inquiries
Enterprise support tier available, including priority response and quarterly performance reviews
Support Email: rajdeep.kaur@pharmacoevidence.com