Transforming healthcare analytics: the quest for healthy intelligence
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hoboken, New Jersey
Wiley
[2020]
|
Online-Zugang: | FHD01 |
Beschreibung: | 1 Online-Ressource (xix, 268 Seiten) |
ISBN: | 9781119613572 |
Internformat
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100 | 1 | |a Lewis, Michael N. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Transforming healthcare analytics |b the quest for healthy intelligence |c Michael N. Lewis, Tho H. Nguyen |
264 | 1 | |a Hoboken, New Jersey |b Wiley |c [2020] | |
300 | |a 1 Online-Ressource (xix, 268 Seiten) | ||
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505 | 8 | |a Cover -- Title Page -- Copyright -- Contents -- About the Authors -- Acknowledgments -- Disclaimer -- Foreword -- 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 -- Chapter 2 People -- The Ability to Produce Results -- What Types of Roles? | |
505 | 8 | |a What Job Roles Do You Need? -- What Capabilities Do You Need? -- Organizational Structures for your Company -- Roles to Execute your Data and Analytics Strategy -- Challenges to Getting the Right People -- The Ability to Consume Results -- The "Real Analytical Employee Cost" to an Organization -- Building a Resource Library -- Conclusion -- 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 | |
505 | 8 | |a What is the current process? -- 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 -- Chapter 5 Unifying People, Process, and Technology -- People Use Case -- Delivering Primary Care Predictive Risk Model | |
505 | 8 | |a 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 | |
505 | 8 | |a Virtual Reality -- Teaching, Education, Lab -- 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 -- EULA | |
700 | 1 | |a Nguyen, Tho H. |e Verfasser |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-119-61354-1 |
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Datensatz im Suchindex
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author | Lewis, Michael N. Nguyen, Tho H. |
author_facet | Lewis, Michael N. Nguyen, Tho H. |
author_role | aut aut |
author_sort | Lewis, Michael N. |
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bvnumber | BV046657425 |
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contents | Cover -- Title Page -- Copyright -- Contents -- About the Authors -- Acknowledgments -- Disclaimer -- Foreword -- 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 -- Chapter 2 People -- The Ability to Produce Results -- What Types of Roles? What Job Roles Do You Need? -- What Capabilities Do You Need? -- Organizational Structures for your Company -- Roles to Execute your Data and Analytics Strategy -- Challenges to Getting the Right People -- The Ability to Consume Results -- The "Real Analytical Employee Cost" to an Organization -- Building a Resource Library -- Conclusion -- 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? -- 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 -- 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 Virtual Reality -- Teaching, Education, Lab -- 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 -- EULA |
ctrlnum | (OCoLC)1150838676 (DE-599)BVBBV046657425 |
format | Electronic eBook |
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id | DE-604.BV046657425 |
illustrated | Not Illustrated |
index_date | 2024-07-03T14:18:32Z |
indexdate | 2024-07-10T08:50:28Z |
institution | BVB |
isbn | 9781119613572 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032068565 |
oclc_num | 1150838676 |
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owner | DE-1050 |
owner_facet | DE-1050 |
physical | 1 Online-Ressource (xix, 268 Seiten) |
psigel | ZDB-30-PQE ZDB-30-PQE FHD01_PQE_Kauf |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Wiley |
record_format | marc |
spelling | Lewis, Michael N. Verfasser aut Transforming healthcare analytics the quest for healthy intelligence Michael N. Lewis, Tho H. Nguyen Hoboken, New Jersey Wiley [2020] 1 Online-Ressource (xix, 268 Seiten) txt rdacontent c rdamedia cr rdacarrier Cover -- Title Page -- Copyright -- Contents -- About the Authors -- Acknowledgments -- Disclaimer -- Foreword -- 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 -- Chapter 2 People -- The Ability to Produce Results -- What Types of Roles? What Job Roles Do You Need? -- What Capabilities Do You Need? -- Organizational Structures for your Company -- Roles to Execute your Data and Analytics Strategy -- Challenges to Getting the Right People -- The Ability to Consume Results -- The "Real Analytical Employee Cost" to an Organization -- Building a Resource Library -- Conclusion -- 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? -- 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 -- 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 Virtual Reality -- Teaching, Education, Lab -- 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 -- EULA Nguyen, Tho H. Verfasser aut Erscheint auch als Druck-Ausgabe 978-1-119-61354-1 |
spellingShingle | Lewis, Michael N. Nguyen, Tho H. Transforming healthcare analytics the quest for healthy intelligence Cover -- Title Page -- Copyright -- Contents -- About the Authors -- Acknowledgments -- Disclaimer -- Foreword -- 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 -- Chapter 2 People -- The Ability to Produce Results -- What Types of Roles? What Job Roles Do You Need? -- What Capabilities Do You Need? -- Organizational Structures for your Company -- Roles to Execute your Data and Analytics Strategy -- Challenges to Getting the Right People -- The Ability to Consume Results -- The "Real Analytical Employee Cost" to an Organization -- Building a Resource Library -- Conclusion -- 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? -- 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 -- 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 Virtual Reality -- Teaching, Education, Lab -- 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 -- EULA |
title | Transforming healthcare analytics the quest for healthy intelligence |
title_auth | Transforming healthcare analytics the quest for healthy intelligence |
title_exact_search | Transforming healthcare analytics the quest for healthy intelligence |
title_exact_search_txtP | Transforming healthcare analytics the quest for healthy intelligence |
title_full | Transforming healthcare analytics the quest for healthy intelligence Michael N. Lewis, Tho H. Nguyen |
title_fullStr | Transforming healthcare analytics the quest for healthy intelligence Michael N. Lewis, Tho H. Nguyen |
title_full_unstemmed | Transforming healthcare analytics the quest for healthy intelligence Michael N. Lewis, Tho H. Nguyen |
title_short | Transforming healthcare analytics |
title_sort | transforming healthcare analytics the quest for healthy intelligence |
title_sub | the quest for healthy intelligence |
work_keys_str_mv | AT lewismichaeln transforminghealthcareanalyticsthequestforhealthyintelligence AT nguyenthoh transforminghealthcareanalyticsthequestforhealthyintelligence |