产品
- QualityCare ConnectSM
- H2O Driverless AI
技术栈
- Natural Language Processing (NLP)
- Machine Learning
- Big Data
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 分析与建模 - 自然语言处理 (NLP)
适用行业
- 医疗保健和医院
适用功能
- 人力资源
用例
- 对话机器人
- 临床图像分析
服务
- 数据科学服务
关于客户
ArmadaHealth is a health data science and services company founded to help people access the right physician or expert for them. Their unique solution, QualityCare ConnectSM, combines big data and expert clinical insights which they aim straight at the root cause of healthcare access problems. ArmadaHealth does this by applying sentiment analysis on customer reviews and advanced analysis of experts’ wisdom to understand the consumers, objectively matching to their needs and preferences, preparing them, and delivering timely access to a choice of the most appropriate physicians for their condition.
挑战
Finding the right specialist is the first step to receiving the right care. However, consumers are not equipped to navigate the complex and confusing healthcare system. It can be challenging for patients to discover which specialist they should approach for different health situations and, even with a referral from a primary physician, it can still be a long process until they find the right specialist who can accurately treat them while also providing a satisfactory patient experience. Finding the right match between patient and doctor can solve major problems and save lives.
解决方案
H2O Driverless AI is an essential part of reaching Armada Health’s goal of delivering accurate patient-expert matches. By using our automatic machine learning platform, the company is able to build and train a Natural Language Processing (NLP) model to identify the sentiment (positive, negative, neutral) in each customer review. The company looks at three main aspects in each review: treatment outcome, communication, and attitude. These three aspects are critical to finding the best expert that matches customer preferences. Driverless AI is also key to understanding characteristics derived from the data and its NLP features and interpretability features make it easier to analyze sentiment.
运营影响
数量效益
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