Taking Care of Yourself: Transforming Healthcare with Insight-Driven Analytics

Description

Real-life examples of how to apply innovative techniques and technology in the healthcare industry though analytics. Healthcare analyticsoffers insights for making better healthcare decisions. Identifying patterns and correlations contained in Big Data, analytics has applications in hospital management, patient records, diagnosis, operating and treatment costs, and more. Helping healthcare managers operate more efficiently and effectively,Taking Care of Yourselfprovides a real-world use case of a healthcare company that leverages people, process, and advanced analytics technology to deliver exemplary results. This book illustrates how healthcare professionals can transform the healthcare industry through analytics. Practical examples of innovative techniques and technology, such as model development, model deployment, deep learning, and augmented intelligence, show how unified analytics can deliver insight-driven decisions. The authors--a healthcare analytics expert and a finance executive specializing in analytics and data management--share their unique perspectives on modernizing data and analytics platforms to accommodate the complexity of the healthcare industry, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with capabilities to prepare for the future, and more. This book: Explores innovative technologies to overcome data complexity in healthcare Highlights how analytics can help with healthcare market analysis to gain competitive advantage Provides strategies for building a strong foundation for augmented (artificial and human) intelligence Examines managing data and analytics from end-to-end, from diagnosis, to treatment, to provider payment Discusses the use of clinical outcomes and encounter-based data to drive decisions in the healthcare industryTaking Care of Yourself: Transforming Healthcare with Insight-Driven Analyticsis an important source of information for CFO's, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions