Challenges in scaling AI-powered distributed software product : A case study of a healthcare organization

R. Gupta, B. Balaji, V. Mekanathan, J. FeroseKhan
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引用次数: 1

Abstract

Artificial intelligence (AI) is transforming care delivery and expanding precision medicine. This paper presents experiences of a 110-person, spread across three countries, involves multiple business units and external suppliers that successfully achieved multiple milestones. The product is an organization visionary software system, a mission-critical software system that conforms to stringent healthcare regulatory standards.We are practicing three styles of coordination practices that brings a solution to communication challenges. We are also describing our experiences of SAFe practices, Spotify like team culture, and ‘Psychological Safety’ that that helps in time-critical situations.The authors bring our experiences as a Program Manager, Project Manager, Quality Manager, and chief Architect who has been an integral part of the journey and establishing these practices over since the incubation stage of the referred product. These practices have helped to an extent where we have achieved regulatory acceptance and milestones successfully within aggressive time and taking steady steps towards where other business units are adopting our practices for managing multiple healthcare software systems.
扩展基于ai的分布式软件产品的挑战:一个医疗保健组织的案例研究
人工智能(AI)正在改变医疗服务,扩大精准医疗。本文介绍了一个110人的经验,分布在三个国家,涉及多个业务单位和外部供应商,成功地实现了多个里程碑。该产品是一个具有组织远见的软件系统,符合严格的医疗保健监管标准的关键任务软件系统。我们正在练习三种风格的协调实践,为沟通挑战带来解决方案。我们还描述了我们在SAFe实践、Spotify喜欢的团队文化和“心理安全”方面的经验,这在时间紧迫的情况下很有帮助。作者带来了我们作为项目经理、项目经理、质量经理和首席架构师的经验,这些人从所提到的产品的孵化阶段起就一直是旅程和建立这些实践的组成部分。这些实践在一定程度上帮助我们在积极的时间内成功地获得了监管认可和里程碑,并朝着其他业务部门采用我们的实践来管理多个医疗保健软件系统的方向稳步迈进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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