Shipping 30+ clinical trial sites on time, every time
eClinical platform with API integrations for clinical trial management, 100% on-time go-live rate across 12-week implementation lifecycles.
The setup
Florence Healthcare sells eClinical SaaS to research sites and sponsors running trials. The product suite (eTMF, CTMS, Study Startup, and eReg/ISF) sits in the middle of how clinical documents, monitoring visits, and regulatory binders flow end-to-end. Client mix ranged from tier-1 academic medical centers to commercial research networks.
Getting a new research site live is less about installation and more about choreography: configuration, migration from legacy systems, SOP alignment, and training coordinators and site managers who already have a full clinical workload.
What was broken
Each site implementation was a 12-week lifecycle covering requirements workshops, configuration, data migration, training, and go-live. Slipping a go-live meant pushed trial milestones and strained sponsor relationships.
Sites came in with wildly different legacy systems and SOP maturity, some from paper binders, some from generic document management tools, so the migration path had to be diagnosed per engagement rather than templated.
Coordinators and site managers needed to leave training workshops confident enough to run eTMF, CTMS, Study Startup, and eReg/ISF on day one, not after a month of internal stumbling.
What I did
- End-to-end 12-week lifecycle ownership Led technical implementations for 30+ clinical research sites from kickoff through go-live, owning scope, configuration, migration, and sign-off.
- Requirements workshops + gap analyses Ran discovery workshops to map each site's trial portfolio, document flows, and regulatory obligations, producing gap analyses that fed directly into the configuration plan.
- Multi-product configuration Configured eTMF, CTMS, Study Startup, and eReg/ISF per site, study builds, user roles, workflow templates, monitoring visit structures, and eReg binder layouts.
- Hands-on training workshops Delivered workshops for site managers and coordinators covering system configuration and clinical workflow best practices, so teams walked out able to run their own studies.
- Customer-onboarding artifact redesign Redesigned the artifacts the implementation team used to track each engagement, kickoff workbook, configuration plan, gap-analysis matrix, training-readiness checklist, go-live cutover doc. The new set cut handoffs between team members and made every site's progress visible to leadership in real time. Result: ~60% reduction in implementation time, accelerating customer time-to-value and pulling revenue recognition forward.
- Adjacent-vendor integration Managed contract negotiation, integration scoping, and invoicing with adjacent eClinical vendors (onCore, Velos) when sponsors required interoperability between Florence's stack and the site's existing CTMS.
What moved
Implementation time reduction across the customer-onboarding lifecycle, driven by the artifact redesign that tracked the path and cut handoffs.
On-time go-live rate across 12-week implementation lifecycles for 30+ clinical research sites.
Customer satisfaction (CSAT) improvement driven by hands-on training and configuration quality.
eTMF, CTMS, Study Startup, and eReg/ISF configured per engagement, spanning the trial document lifecycle.
Built with
What I learned
- Seek input and define success first. Identify every stakeholder group (site coordinator, study manager, CRO monitor, sponsor PM), ask each what they want this technology to do, and convert the answers into measurable outcomes with baseline data before configuration starts. Without this, "successful go-live" means six different things.
- Configure against priorities, not features. Build a small "tiger team", doesn't need a rep from every stakeholder group, but has to make every decision with each group's priorities in mind. When a config choice favors one group over another, share the options and the reasoning. Trust comes from transparent trade-offs.
- Communicate ahead of change. Tell people what's coming and why it improves their day before the tiger team's done deciding. Adjust the messaging per stakeholder. Recruit champions from inside each org, info from a peer lands harder than info from the vendor.
- Train for the learning style, not the curriculum. No single mode works for everyone. I ran live virtual sessions in a lead-and-chat-helper pattern (one demoing live, one dropping resources in chat), Loom for async, tip sheets for the readers, role-specific paths everywhere. The first impression of the tool is set in training.
- Roll out in phases. Either a pilot group (test the plan, adjust, then go wide) or crawl-walk-run (basic functionality first, advanced features once the team's comfortable). The instinct to flip the switch all at once is almost always wrong.
- Design the post-go-live support plan before go-live. Decide who answers what, who routes to the vendor, who's the internal admin. A clear path beats a fast answer.
- Evaluate against the original metrics, not vibes. Revisit the metrics from step one. Did you hit them? Are they still right? The work isn't done at go-live; it's done when the sponsor, site, and CRO all see the value they were promised.
- The thing that changed across 30 engagements. Early on I optimized for shipping the configuration. By the last few, I was optimizing for the coordinator's first Monday alone with the system, because that's when adoption actually wins or loses. The implementation team's job isn't to install software. It's to make sure no one feels abandoned at 9am on the first day after go-live.