A webinar sponsored by Astrix   

Date: September 16, 2026

Time: 10:00 AM ET

Presented by: Anees Kolappurath, Associate Director, Client Solutions & Innovation, Astrix & Haris Khan, Sr. Manager, Client Solutions & Innovation, Astrix

Overview:

Most labs have good systems and broken workflows. The ELN is built to be the best possible ELN, the LIMS to be the best possible LIMS, and neither is built for what happens between them. Science does not respect those boundaries, so the scientist becomes the integration layer: copying, reformatting and reconciling by hand, while the intent and metadata that gave the data meaning stay behind. Around 40% of their time goes on data plumbing rather than discovery. The usual response is more training and firmer mandates, and the shadow spreadsheets come back anyway.

This session argues that adoption is a symptom of design quality rather than a change management problem, and shows what changes when the workflow, not the screen, becomes the unit of design. We walk through where collaboration actually breaks, which is the handoff and where the scientific narrative crosses a system boundary.

Attendees leave with a way to map end-to-end scientific workflows, a test for whether their own tools are designed for scientists or for systems, and the honest signals that reveal adoption failure before it becomes a training budget.

About Astrix

Astrix is the global leader in delivering innovative strategies and solutions to the life sciences industry. Powered by world-class people, proven processes, and advanced technology, Astrix partners with clients to drive measurable improvements in business performance, scientific advancement, and clinical outcomes—ultimately driving towards a goal of improving quality of life. Founded by scientists to address the industry’s most complex challenges, Astrix provides a growing portfolio of strategic and technical services that deliver immediate impact while enabling long-term digital transformation. Our deep expertise spans strategic planning, data strategy, AI/ML readiness and technologies, lab informatics, and modern clinical operations and eClinical platforms so we can successfully deliver solutions that have high impact and drive better outcomes for everyone.