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AI Driven Review for Scientific Accuracy in Life Sciences

AI Driven Review for Scientific Accuracy in Life Sciences
人工智能驱动的生命科学科学准确性审查
批准号:
10043734
负责人:
金额:
$6.17万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

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中文摘要
翻译
英国的生命科学行业遵循道德准则,规范所有材料和活动的合规准则,以确保以负责任、专业、透明的方式交付,并适合使用。守则包括向医疗保健专业人员和其他决策者推广药品和设备,以确保他们了解患者可获得的最新治疗方法。获得准确的最新信息对于正确使用至关重要,所有活动和材料的批准都遵循标准操作程序。虽然代码是自我监管的,但行业给予了强有力的支持,任何针对公司的投诉都被视为严重问题,不仅可能导致声誉损害,还可能导致巨额罚款和公司全面审计。每项活动都必须检查医疗事实的准确性,并获得批准使用的最终医疗签字人。一家公司从事的活动越多,需要审查和批准的项目就越多,这就增加了合规审批制度的压力。目前这是一个基于人工的过程,它使用了高技能人员的大量时间。AI Driven Review for Science Accuracy in Life Science项目将由一段编写的伪代码组成,它将使我们能够与软件公司合作,作为其已建立的软件的螺栓模块来实施。在根据英国业务守则确定了一些风险因素后,我们将编写代码来确定宣传材料中的风险因素。每段代码将识别一个风险元素,例如,它将识别并匹配工作包代码,确保没有悬而未决的比较,检查特定的法规要求,如黑色三角形,确保图像不包含性图像等。这不仅将加快过程,还将减少任何人为错误。通过将这项服务自动化,公司将能够更好地管理其高技能员工在为其业务提供最大价值的项目上的时间。简化合规审查和审批流程将使行业能够快速跟踪活动和材料,这将意味着更快地进入市场并提供灵活性,同时减少以前因人为压力而错过的机会或延迟。
英文摘要
The life science industry in the United Kingdom operates by codes of ethics which govern set compliance guidelines for all materials and activities to ensure they are delivered in a responsible, professional, transparent manner and are appropriate for use. Codes cover promotion of medicines and devices to healthcare professionals and other decision makers to ensure they are kept up-to-date on the latest treatments available for patients. The availability of accurate up-to-date information is vital for appropriate use and approvals of all activities and materials adhere to standard operating procedures.Although codes are self-regulating, there is strong support given by the industry and any complaint made against a company is treated as a serious matter which can result in not only reputational damage but also hefty fines and full company audits.Each activity must be checked for medical factual accuracy and obtain a final medical signatory for approval of use. The more activities a company undertakes, the more items will require review and approval which creates an increase of pressure on the compliance approval system. Currently this is a manual based process which uses a vast amount of time from highly-skilled individuals.The AI Driven Review for Scientific Accuracy in Life Sciences project will consist of a written master piece of Pseudocode which will enable us to partner with a software company to implement as a bolt on module to their established software. Having identified a number of risk elements based on the UK Code of Practice we will write code to identify risk elements within a piece of promotional material. Each piece of code will identify a risk element e.g. it will identify and match job bag codes, ensure no hanging comparisons, check specific regulatory requirements such as the black triangle, ensure images do not contain sexual imagery etc. Not only will this speed up the process, it will also reduce any human based errors. By automating this service it will allow companies to better manage their highly-skilled employees time on projects where they provide the most value to their business. Streamlining the compliance review and approval process will enable the industry to fast track activities and materials which will mean a quicker entry to market and provide agility, whilst reducing missed opportunities or postponements previously caused by human based pressures.
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information