数字化工作流程增强社会服务
公司规模
Mid-size Company
地区
- Pacific
国家
- New Zealand
产品
- FlowForma Process Automation
技术栈
- Microsoft 365
- SharePoint
- Microsoft Power BI
- Microsoft Azure
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
- Digital Expertise
技术
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 医疗保健和医院
- 城市与自治市
适用功能
- 人力资源
- 商业运营
用例
- 过程控制与优化
- 质量预测分析
- 网络安全
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
Tui Ora 是新西兰北岛西海岸塔拉纳基地区最大的社区健康和社会服务提供商。该组织致力于改善当地居民的健康、福祉和生活质量，包括几个世纪以来一直居住在该地区的毛利人。作为一个非营利组织，Tui Ora 在紧张的预算下运营着 35 多个服务和项目。该组织一直面临着让每一分钱都物有所值的压力，并寻找节省时间和金钱的新方法。Tui Ora 的服务都是基于转诊的，初始患者信息从全科医生、自我转诊或任何社会服务组织等各种来源汇集到一个中央团队，该团队将人们引导到适当的护理点。
挑战
Tui Ora 是新西兰塔拉纳基地区最大的社区医疗和社会服务提供商，它一直苦于低效的纸质流程和复杂的 SharePoint 工作流。该组织的服务都是基于转诊的，初始患者信息来自各种来源。然而，现有系统复杂、维护成本高、缺乏可视性，阻碍了持续改进。该组织面临着充分利用每一分钱的压力，并寻找节省时间和金钱的新方法。ICT 团队发现，改进组织中的流程和文书工作方式是提高效率的一种方法。
解决方案
Tui Ora 选择 FlowForma 流程自动化工具来改进和验证其与当地社区的合作。该工具是一个“无代码”应用程序，位于 SharePoint 之上，易于使用和部署。团队中有五人参加了 SureStart 课程，即 FlowForma 的入职培训计划，在此期间他们构建了第一个流程。推荐流程被选为第一个要改进的流程，因为它是最复杂和最关键的工作流程。FlowForma 流程自动化工具管理所有流程安全性的能力是确保敏感个人数据隐私的关键。在接下来的四个月里，又审查、整合和迁移了 11 个流程。该应用程序的易用性是其快速部署和采用的关键。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Turning A Stadium Into A Smart Building
Honeywell created what it called the “intelligent system” for the National Stadium in Beijing, China, turning the venue for the opening and closing events at the 2008 Summer Olympics into a “smart building.” Designed by highly controversial artist Ai Weiwei, the “Bird’s Nest” remains one of the most impressive feats of stadium architecture in the world. The 250,000 square meter structure housed more than 100,000 athletes and spectators at a time. To accommodate such capacity, China turned to Honeywell’s EBI Integrated Building Management System to create an integrated “intelligent system” for improved building security, safety and energy efficiency.
.png)
Case Study
Smart Street Light Network (Copenhagen)
Key stakeholders are taking a comprehensive approach to rethinking smart city innovation. City leaders have collaborated through partnerships involving government, research institutions and solution providers. The Copenhagen Solutions Lab is one of the leading organizations at the forefront of this movement. By bringing together manufacturers with municipal buyers, the Copenhagen Solutions Lab has catalyzed the development and deployment of next-generation smart city innovations. Copenhagen is leveraging this unique approach to accelerate the implementation of smart city solutions. One of the primary focus areas is LED street lighting.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
