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Tag: Florence

  • Florence Launches 8 AI Workflows to Speed Up and Simplify Clinical Trials

    Florence Launches 8 AI Workflows to Speed Up and Simplify Clinical Trials

    A scientist in a lab coat examines samples under a microscope, while a digital representation of a brain and microorganisms is featured in the background.

    Clinical trials have long been slowed by manual processes, scattered data, and inefficient oversight. Florence Healthcare is changing that with the rollout of eight AI-assisted workflows set to launch in October 2025.

    These innovations aim to streamline every phase of research, from site selection to monitoring, while boosting compliance and collaboration.

    Here are the eight ways Florence’s AI workflows promise to transform clinical research:

    1. Smarter Site Identification
      Sponsors can instantly filter sites by geography, therapeutic area, and real-time performance metrics, making it easier to pick the right partners for a successful trial.
    2. AI-Powered Feasibility Surveys
      Surveys will be tailored to each study protocol, and sites can lean on AI to provide context-specific responses that highlight their qualifications.
    3. Accelerated Contract Negotiations
      AI-assisted tools will simplify back-and-forth contract reviews, reducing delays and ensuring compliance with both sponsor and site requirements.
    4. Streamlined Document Exchange
      An automated system will connect directly with site eISFs, allowing documents to be customized by region or network and eliminating the risks of lost files and version confusion.
    5. Simplified Study Start-Up
      By removing repetitive manual steps, AI workflows will cut down the time wasted in emails, spreadsheets, and portals, speeding up the critical launch phase of trials.
    6. Remote Monitoring With AI Insights
      Sponsors will receive enhanced reports with deeper visibility into site-level progress, reducing the need for expensive and time-consuming physical visits.
    7. Interoperability Across Systems
      The workflows come with APIs built for CTMS, eTMF, and identity platforms, ensuring seamless integration instead of relying on fragmented tools.
    8. Compliance-Ready Infrastructure
      Florence’s AI tools are built on a validated, GxP-compliant platform with audit traceability and 21 CFR Part 11 support, trusted already by over 37,000 research sites worldwide.

    Florence COO Shankar Jagannathan said the focus goes beyond automation: “We’re creating a shared, AI-augmented experience between sponsors and sites to reduce manual work, increase capacity, and minimize risk.”

    With this launch, Florence positions itself at the forefront of clinical trial innovation, helping research teams move faster, collaborate better, and stay inspection-ready.

  • Florence Announces AI-Assisted Workflows to Transform Clinical Trials

    Florence Announces AI-Assisted Workflows to Transform Clinical Trials

    A scientist examining samples through a microscope in a laboratory setting, with a visualization of AI technology and colorful microorganisms in the background.

    Ahead of its premier life science event advancing Clinical Trial technology and innovation, Research Revolution , Florence Healthcare today announced its upcoming AI-centric workflows aimed at transforming clinical trials conducted across the study life-cycle. These solutions will significantly accelerate and enhance site identification, feasibility, start up, study conduct and remote monitoring for both sites and sponsors.

    Built in collaboration with top sponsors, CRO partners, and hundreds of research sites; these new Human-in-loop (HITL) AI capabilities are built to supercharge clinical trial professionals as they tackle some of the most persistent challenges in the industry:

    • Limited Visibility Into Site Performance: Sponsors struggle to identify the right research sites, relying on disparate and stagnant data sources that provide limited visibility into true site capacity and performance.
    • Inefficient Study Start-Up Processes: Timelines are bogged down by manual and fragmented workflows and communication across stakeholders. Meaning critical data and documents are trapped in email chains, portals, and spreadsheets- causing version control issues, compliance risks, and inefficiencies.
    • Fragmented Oversight & Monitoring: Fragmented data and documents means that sponsor oversight is limited. Disparate systems prevent monitors from having real-time visibility into trial progress. As a consequence, costly physical site visits are still needed.

    AI Assisted workflows will be available to Sponsors, CROs and Research Sites in October 2025

    Florence Healthcare will introduce modules to directly address the challenges listed above. These will include:

    • Site Identification & Feasibility: Utilizing these new workflows, Sponsors will be able to quickly search across site profiles according to therapeutic area, geography, and real-time performance criteria to pick the right sites for study startup. From there they can deliver protocol-specific feasibility surveys, focusing on questions that are informative rather than repetitive. Sites will then be able to leverage an AI-driven workflow to accelerate survey completion with context-specific responses highlighting Site qualifications for the specific study.
    • Study Start-Up: New AI-driven contract negotiations will accelerate time to startup, in compliance with Site and Sponsor guidelines for contracts. In addition, a fully automated document exchange with Site eISF will provide the flexibility to tailor documents to specific Site networks or regions. The enhanced AI workflows will also simplify document management across startup and trial conduct, reducing administrative work for sites and sponsors.
    • Remote Monitoring: Remote Monitoring will also receive an AI upgrade. New reports providing deeper insights into Study progress across Sites or at specific sites will be available, allowing for quick intervention and remediation to keep trials on track, and obviating the need for physical site visits.

    These AI-centric product workflows will enter limited availability in October 2025 for early adopters. These workflows are built on Florence’s validated and GxP-compliant infrastructure-trusted by over 37,000 research sites globally. They include full audit traceability, 21 CFR Part 11 support, and interoperability APIs for CTMS, eTMF, and identity systems.

    “We’re not just automating the trial conduct for speed,” said Shankar Jagannathan, COO at Florence. “We’re creating a shared, AI-augmented experience between sponsors and sites to reduce manual work and increasing capacity, while minimizing risk -one that’s more intelligent, scalable, and efficient.”

    About Florence Healthcare

    Florence is a purpose-built platform that connects sponsors and sites to accelerate clinical trials, improve operational capacity, and reduce risk. Designed for scale, Florence streamlines workflows, enhances collaboration, and delivers real-time visibility across studies-empowering research teams to move faster, stay inspection-ready, and increase trial throughput with fewer resources.

    For more information, visit www.florencehc.com