Slope, provider of an eClinical Supply Chain Management platform, was recognized among ten vendors for Clinical Trial Resource Management in the 2022 report
Slope, provider of the first eClinical Supply Chain Management (eCSCM) platform, announced that it has been identified as a Sample Vendor in the 2022 Gartner Hype Cycle for Life Science Clinical Development, 2022. Slope was named in the Clinical Trial Resource Management category.[1] Slope provides an online eClinical Supply Chain Management (eCSCM) platform for sponsors and research sites collaborating on complex, sample-intensive, and early-phase clinical trials in areas such as oncology, gene therapy, and rare disease.
According to the report, “Although work on technology innovations and digital therapeutics has continued this past year, new medical innovations are driving the bulk of investments. Innovations include increased investment in science to develop cell and gene therapies, and biotechnology and oncology products that are focused on treating orphan and rare diseases. This “science first” approach has led CIOs to accelerate investments in life science clinical development optimization, speeding trials to gather insights and drive these new products to market.”[1]
“We are establishing the new product category—eClinical Supply Chain Management platform—by combining the data-driven supply chain expertise of our founders with the clinical trial experience of our Chief Clinical Officer’s team running clinical trials from both the research site and clinical operations perspective,” said Rust Felix, Slope CEO and cofounder. “We believe being named by Gartner as a Sample Vendor in the Slope of Enlightenment arc of the Hype Cycle reinforces our solution’s value to our customers and the industry.”
According to Gartner, “Clinical trial resource management systems are the technology capabilities used to manage the resources of a clinical trial, such as investigative sites, contract research organizations (CROs), clinical study staff, supplies, relationships and patients. Included are the capabilities to plan, manage and execute clinical study activities using tools that manage resource utilization and effectiveness, provide operational analytics, track study milestones and facilitate issue management.”[1]
Gartner continues in the report, “Linking planning and execution activities for clinical and operational support areas enables a higher degree of performance from clinical resources, which can drive faster trials at lower costs.”[1]
Visit AITechPark for cutting-edge Tech Trends around AI, ML, Cybersecurity, along with AITech News, and timely updates from industry professionals!
