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Revolutionizing ER Experience with AI: A TeleMedCo Case Study
技术
- 分析与建模 - 机器学习
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 水泥
- 医疗保健和医院
适用功能
- 产品研发
用例
- 施工管理
- 语音识别
服务
- 系统集成
挑战
目前，医疗保健行业的成本非常高：医生和医院通常会吃掉急诊室诊断和治疗阶段产生的费用，这反过来又增加了患者的成本。因为去急诊室的人中有 50-80% 处于非危急状态，这意味着医生需要相应地优先治疗。 TeleMedCo 认识到这一市场效率低下，并试图通过技术解决方案来缓解这一人类问题。
考虑到开发这个想法的团队没有软件、硬件或人工智能专业知识，他们需要一个能够完全掌握用例、可视化实际运行过程、构思诊断解决方案并将其烘焙到用于销售和演示目的的工作原型。
客户
远程医疗公司
关于客户
TeleMedCo是一家医疗保健通信技术创新者，其灵感来自于改善社会如何照顾数百万人的机会。
解决方案
在公司寻求种子资金的过程中，ENO8 开发了一个能够使整个急诊室“胸痛方案”自动化的工作原型。这将是实时版本中的数十个此类协议之一，但原型更多地用作安全支持的概念证明。
胸痛方案从 iPad 应用程序和患者之间的语音用户界面开始。 ENO8 将该应用程序与 IBM 的 Watson 集成，并训练 AI 分析和识别胸部 X 光片和/或 EKG 中的特定情况，以便 iPad 应用程序可以将患者转移到非重症监护协议或自动与医生视频会议如果 Watson 在 X 射线或 EKG 中发现异常。
运营影响
相关案例.
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