Transforming Healthcare Analytics

Transforming Healthcare Analytics
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Описание книги

Real-life examples of how to apply intelligence in the healthcare industry through innovative analytics Healthcare analytics offers intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications in hospital management, patient records, diagnosis, operating and treatment costs, and more. Helping healthcare managers operate more efficiently and effectively. Transforming Healthcare Analytics: The Quest for Healthy Intelligence shares real-world use cases 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 modern techniques and technology show how unified analytics with data management can deliver insight-driven decisions. The authors—a data management and analytics specialist and a healthcare finance executive—share their unique perspectives on modernizing data and analytics platforms to alleviate the complexity of the healthcare, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with intelligence 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 healthcare intelligence Examines managing data and analytics from end-to-end, from diagnosis, to treatment, to provider payment Discusses the future of technology and focus areas in the healthcare industry Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important source of information for CFO’s, CIO, CTO, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions.

Оглавление

Michael N. Lewis. Transforming Healthcare Analytics

Table of Contents

List of Tables

List of Illustrations

Guide

Pages

Wiley and SAS Business Series

Transforming Healthcare Analytics. The Quest for Healthy Intelligence

About the Authors

Acknowledgments

DISCLAIMER

Foreword

NOTE

CHAPTER 1 Introduction

PURPOSE OF THIS BOOK

HEALTH DATA DEFINED

HEALTHCARE CHALLENGES AND FOCUS AREAS

AUDIENCE FOR THIS BOOK

HOW TO READ THIS BOOK

STATE OF HEALTHCARE

HEALTH TECHNOLOGY

HEALTH RESEARCH

MEDICAL PROCEDURES

GROWTH IN HEALTHCARE

HEALTHCARE DATA

MULTIFACETED AND SILOED DATA

UNSTRUCTURED DATA

STRICT REGULATIONS

VALUE OF ANALYTICS

NOTES

CHAPTER 2 People

THE ABILITY TO PRODUCE RESULTS

WHAT TYPES OF ROLES?

WHAT JOB ROLES DO YOU NEED?

What Capabilities Do You Need?

Quantitative Analytics

Leveraging Data

Visualization and Communication

Business Acumen

ORGANIZATIONAL STRUCTURES FOR YOUR COMPANY

ROLES TO EXECUTE YOUR DATA AND ANALYTICS STRATEGY

CHALLENGES TO GETTING THE RIGHT PEOPLE

THE ABILITY TO CONSUME RESULTS

Leadership Curriculum

THE “REAL ANALYTICAL EMPLOYEE COST” TO AN ORGANIZATION

BUILDING A RESOURCE LIBRARY

CONCLUSION

NOTES

CHAPTER 3 Process

WHAT IS CULTURE?

WHAT IS DESIGN THINKING?

WHAT IS LEAN?

WHAT IS AGILE?

DESIGN THINKING, LEAN, AND AGILE DEFINITIONS

CREATING A DATA MANAGEMENT AND ANALYTICS PROCESS FRAMEWORK

CHANGING THE ANALYTICS JOURNEY

WHAT IS THE CURRENT PROCESS?

NOTES

CHAPTER 4 Technology

STATUS QUO

IN-DATABASE PROCESSING

Cost of In-Database Processing

IN-MEMORY PROCESSING

Need for Speed

Benefits with In-Memory Processing

How to Get Started

Requirements

Cost of In-Memory Processing

OPEN SOURCE TECHNOLOGY

HADOOP

SPARK

Data Preparation and Integration

In-Stream Processing

Prescriptive Analytics

Interactive Insights

PYTHON

R

OPEN SOURCE BEST PRACTICES

NOTES

CHAPTER 5 Unifying People, Process, and Technology

PEOPLE USE CASE – DELIVERING PRIMARY CARE PREDICTIVE RISK MODEL

PROCESS USE CASE – RATE REALIZATION MODEL

TECHNOLOGY USE CASE – POPULATION HEALTH MANAGEMENT APPLICATION

INTEGRATING PEOPLE, PROCESS, AND TECHNOLOGY – ENHANCING CLEVELAND CLINIC WEEKLY OPERATIONAL MEETINGS/CORPORATE STATISTICS DASHBOARDS

CASE STUDY TAKEAWAYS

CONCLUSION

CHAPTER 6 The Future in Healthcare

CLOUD

Cloud Deployment Options

Cloud Computing Benefits

Disadvantages of Cloud Computing

SECURITY

New Targets for Heightened Risks

INTERNET OF THINGS

AI – ARTIFICIAL (AND AUGMENTED) INTELLIGENCE

AI Use Cases in Healthcare

Challenges with AI

3D PRINTING

VIRTUAL REALITY – TEACHING, EDUCATION, LAB

NOTES

CHAPTER 7 Final Thoughts

FINAL THOUGHTS

INDUSTRY TRANSFORMATION

JOURNEY TO VALUE-BASED CARE

INVESTMENT VS. RETURNS ON TECHNOLOGY AND INNOVATION

APPLYING AUGMENTED INTELLIGENCE TO SUPPORT CLINICAL, OPERATIONAL, AND FINANCIAL OUTCOMES

ENGAGEMENT ON THE HEALTHCARE DELIVERY MODEL TO UNDERSTAND EXPERIENCES AND VIEWPOINTS TO CREATE TRUST BETWEEN PROVIDERS AND PATIENTS

CONCLUSION

KEY TAKEAWAYS

Index

WILEY END USER LICENSE AGREEMENT

Отрывок из книги

The Wiley and SAS Business Series presents books that help senior-level managers with their critical management decisions.

Titles in the Wiley and SAS Business Series include:

.....

Statistical Thinking: Improving Business Performance (Second Edition) by Roger W. Hoerl and Ronald D. Snee

Strategies in Biomedical Data Science: Driving Force for Innovation by Jay Etchings

.....

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