{"id":607976,"date":"2024-06-07T05:00:08","date_gmt":"2024-06-07T09:00:08","guid":{"rendered":"https:\/\/platohealth.ai\/continuity-and-why-its-now-critical-for-successful-ophthalmic-clinical-trials\/"},"modified":"2024-06-07T05:00:08","modified_gmt":"2024-06-07T09:00:08","slug":"continuity-and-why-its-now-critical-for-successful-ophthalmic-clinical-trials","status":"publish","type":"post","link":"https:\/\/platohealth.ai\/continuity-and-why-its-now-critical-for-successful-ophthalmic-clinical-trials\/","title":{"rendered":"\u2018Continuity\u2019 and Why It\u2019s Now Critical for Successful Ophthalmic Clinical Trials","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Commentary Contributed by Dr. Amit Vasanji and Brett A. Hoover, Clario<\/b><\/p>\n

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June 7, 2024<\/b> | Ophthalmic clinical trials are expanding in global reach, incorporating a wide range of geographical areas, sites, personnel, and imaging technologies. Maintaining data integrity, imaging reliability, process efficiency, and regulatory compliance across these multi-faceted environments can be quite challenging\u2014and is why continuity across image collection, processing, and management is now a fundamental \u201cmust-have\u201d for ophthalmic clinical trial success. <\/p>\n<\/div>\n

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Continuity Ensures Cohesion and Consistency Throughout the Ophthalmic Clinical Trial Imaging Lifecycle <\/b><\/p>\n<\/div>\n

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In the context of ophthalmic clinical trials, continuity refers to the integrated and uninterrupted flow of imaging data across all of the trial\u2019s different stages, from the planning and design phase to image collection, data analysis, and reporting. It encompasses the connection and interaction between various scientific and software elements to create a secure, compliant, and contiguous data processing environment, enabling the trial to run as seamlessly as possible, without disruptions and with minimal regulatory compliance risk.\u202f <\/p>\n<\/div>\n

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The most effective way to achieve continuity in ophthalmic clinical trials is by using a consolidated closed-loop imaging management system that works end-to-end from site upload, image QC, and read straight through to data cleaning, reconciliation, and final delivery. Optimally, a system like this incorporates artificial intelligence (AI) throughout as a way to expedite image processing, streamline and guide reader workflows, and facilitate remote patient monitoring and real-time data collection. For this continuity to work well, the critical scientific elements of the study protocol and trial\u2019s desired medical outcomes must be key considerations in the development, delivery, and support of the clinical trial imaging management solution. <\/p>\n<\/div>\n

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To understand the concept of continuity in ophthalmic clinical trials more thoroughly, let\u2019s explore each of its different dimensions.\u202f <\/p>\n<\/div>\n

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Software Continuity Comprises Multiple Interrelated Components <\/b><\/p>\n<\/div>\n

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In terms of software continuity and the value it brings to an ophthalmic clinical trial, the whole is greater than the sum of its parts. Even so, it is beneficial to consider each of the interrelated elements, which can be sorted into five broad categories: <\/p>\n<\/div>\n

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