Data-guided healthcare decision making / Ramalingam Shanmugam
"How does data evidence matter in decision making in healthcare? How do healthcare professionals implement and maintain cost-effective healthcare operations? Do decision trees sharpen decision making? This book answers these questions by clearly showing how to analyze data and how to interpret the results - vital skills for anyone who works in health administration in hospitals, in clinics, or in the pharmaceutical and insurance industries. Written by an expert in health and medical informatics, this book introduces readers to the fundamentals of operational decision making by illustrating the ideas and tools to reach optimal healthcare, drawing on numerous healthcare data sets from multiple sources. Aimed at an audience of graduate students and lecturers in healthcare administration and business administration courses and heavily illustrated throughout, this book includes up-to-date concepts, new methodologies, and interpretations using widely available software: Microsoft Excel, Microsoft Math Solver, and JASP"--.
| Medienart: |
Buch |
|---|
| Erscheinungsjahr: |
2022 |
|---|---|
| Erschienen: |
Cambridge, United Kingdom New York, NY: Cambridge University Press ; 2022 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Shanmugam, Ramalingam [VerfasserIn] |
|---|
| ISBN: |
|---|
| Nlm: |
W 26.55.D2 |
|---|---|
| Themen: |
Decision Support Techniques |
| Anmerkungen: |
Includes bibliographical references and index |
|---|
| Umfang: |
pages cm |
|---|
| Förderinstitution / Projekttitel: |
|
|---|
| PPN (Katalog-ID): |
1813135428 |
|---|
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| 500 | |a Includes bibliographical references and index | ||
| 505 | 8 | 0 | |a Why and how healthcare decisions are made -- Are data guided healthcare decisions superior? -- Software : EXCEL, microsoft mathematics and JASP -- How to collect authentic data -- Uncertainties and their impact on healthcare decision -- Why models are important in healthcare -- How healthcare decision trees emerge and function -- How are group decisions practiced in healthcare? -- Tracing and remedying root causes of adversities -- Healthcare decision making for cost-effectiveness -- Risk analysis in healthcare decision making -- Evaluation of healthcare programs -- Six sigma and lean management in healthcare sectors -- Forecasting in healthcare sectors. |
| 520 | |a "How does data evidence matter in decision making in healthcare? How do healthcare professionals implement and maintain cost-effective healthcare operations? Do decision trees sharpen decision making? This book answers these questions by clearly showing how to analyze data and how to interpret the results - vital skills for anyone who works in health administration in hospitals, in clinics, or in the pharmaceutical and insurance industries. Written by an expert in health and medical informatics, this book introduces readers to the fundamentals of operational decision making by illustrating the ideas and tools to reach optimal healthcare, drawing on numerous healthcare data sets from multiple sources. Aimed at an audience of graduate students and lecturers in healthcare administration and business administration courses and heavily illustrated throughout, this book includes up-to-date concepts, new methodologies, and interpretations using widely available software: Microsoft Excel, Microsoft Math Solver, and JASP"-- | ||
| 650 | 2 | |a Health Services Administration |x statistics & numerical data | |
| 650 | 2 | |a Decision Support Techniques | |
| 650 | 2 | |a Probability | |
| 650 | 2 | |a Models, Statistical | |
| 650 | 2 | |a Mathematical Computing | |
| 650 | 4 | |a MEDICAL / Epidemiology | |
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