公司规模
Large Corporate
地区
- Europe
国家
- France
产品
- Dataiku’s Deep Belief program
技术栈
- Natural Language Processing (NLP)
- AI-based solution
- Dynamic Dashboard
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 自然语言处理 (NLP)
适用行业
- 医疗保健和医院
服务
- 数据科学服务
关于客户
Malakoff Humanis 是法国领先的非营利性团体健康保险公司。它为公司、员工、个体经营者和单一付款人提供补充健康、福利和养老金合同。作为补充健康保险,该共同基金除了法国社会保障外,还涵盖医疗报销,并指导客户选择护理机构。该公司拥有 11,000 名合作者、426,000 家客户企业和 65 亿欧元的股权。它有一个专门的数据科学和分析部门,由首席数据官领导。数据部门由四个主要分支组成,每个分支负责数据科学和分析、数据治理、数据架构和云以及人工智能和数据可视化。
挑战
Malakoff Humanis 是法国领先的非营利性团体健康保险公司,在满足客户需求和提供优质客户服务方面面临着越来越大的挑战。该公司为公司、员工、个体经营者和单一付款人提供补充健康、福利和养老金合同。除了法国社会保障外,它还涵盖医疗报销,并指导客户选择护理机构。该公司有一个专门的数据科学和分析部门,由首席数据官领导。数据部门由四个主要分支组成,每个分支负责数据科学和分析、数据治理、数据架构和云以及人工智能和数据可视化。然而,该公司在有效管理客户索赔和改善电话客户协助方面遇到了困难。
解决方案
为了应对挑战,Malakoff Humanis 求助于 Dataiku 的 Deep Belief 项目,该项目提供咨询服务以解决雄心勃勃的 AI 项目。通过该项目,Malakoff Humanis 与 Dataiku 的数据科学家合作开展了两个先进的自然语言处理 (NLP) 项目。第一个项目是一个基于 AI 的解决方案,它通过 NLP 分类算法帮助理解在线索赔的主题,并自动将索赔发送给相应的客户服务团队。第二个项目是分析客户电话的内容(主题和语气),以确定电话协助的改进领域。该项目的主要目标是改善电话协助管理,缩短通话时间,减少重复呼叫,减轻客户支持团队的压力,并提高客户满意度。为评估电话语气而构建的情绪分析 NLP 模型可以预测整体语气、对话中各个句子的语气以及对话开始和结束时的情绪。
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
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.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Case Study
Harnessing real-time data to give a holistic picture of patient health
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.