Hiive Health, a leader in clinical workflow automation, today announced a strategic partnership with CliniOps, a pioneer in providing decentralized clinical trial solutions. This collaboration enables seamless integration between Electronic Medical Records (EMRs) and CliniOps’ Unified clinical trial platform, transforming how trials are designed, executed, and managed.
Traditional clinical trials often struggle with fragmented workflows, inefficient data exchange, and low patient engagement, leading to delays and increased costs. This partnership addresses these challenges head-on by integrating EMRs with decentralized trial technologies.
By combining Hiive Health’s low/no-code clinical workflow automation with CliniOps’ electronic data capture (EDC), electronic patient-reported outcomes (ePRO), clinical trial management system (CTMS), and eConsent capabilities, this partnership delivers an innovative solution that:
Accelerates Study Startup
Enables rapid protocol setup and real-time workflow modifications without IT dependency.
Improves Patient Engagement & Compliance
Allows patients to track symptoms directly within their EMR, reducing trial dropout rates.
Enables Seamless Data Exchange
Automates the transfer of patient-reported outcomes (ePRO), consent forms (eConsent), and clinical data across systems.
Supports Decentralized & Hybrid Trials
Integrates telehealth workflows, enabling remote patient monitoring and site coordination.
Enhances Regulatory Compliance & Data Integrity
Provides real-time oversight of trial processes, reducing risks and audit burdens.
“This partnership is a breakthrough for clinical research,” said Jesse O’Gorman, CEO at Hiive Health. “By integrating our adaptive workflow automation with CliniOps’ decentralized trial technology, we’re enabling sponsors and CROs to conduct more efficient, patient-centric, and regulatory-compliant studies.”
CliniOps CEO Avik Pal added, “As clinical trials become increasingly complex, traditional workflows can’t keep up. Our collaboration with Hiive Health allows research teams to rapidly configure and modify workflows, ensuring seamless data flow across systems and delivering a superior experience for both patients and investigators.”
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