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از ساعت 7 صبح تا 10 شب
ویرایش: [1 ed.]
نویسندگان: Kevin Masick. Eric Bouillon
سری:
ISBN (شابک) : 0367461447, 9780367461447
ناشر: Routledge
سال نشر: 2020
تعداد صفحات: 192
[193]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 18 Mb
در صورت تبدیل فایل کتاب Storytelling with Data in Healthcare به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب داستان پردازی با داده ها در مراقبت های بهداشتی نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Cover Half Title Title Page Copyright Page Table of contents Author biography Preface Acknowledgments 1 Introduction Introduction Evolution of Healthcare Analytics Know Your Numbers Develop Behavioral Interventions Set Goals to Drive Change Conclusion Discussion Questions 2 Research Methodology Introduction Reliability Inter/Intrarater Reliability Internal Consistency/Coefficient Alpha/Cronbach’s Alpha Validity External Validity Construct Validity Statistical Conclusion and Internal Validity Scales of Measurement Qualitative Scales of Measurement Nominal Scale Ordinal Scale Quantitative Scales of Measurement Interval Scale Ratio Scales Scales of Measurement Discussion Sampling Techniques Probability Sampling Non-probability Sampling Research Methodology Non-experimental Research Quasi-experimental Research Experimental Research Survey Research Research Methodology Discussion Discussion Questions 3 Statistics Introduction Alpha and Type I Error Beta and Type II Error Power Statistical Significance vs. Clinical Significance Descriptive/Inferential Statistics Measures of Central Tendency Measures of Dispersion Parametric/Non-parametric Statistics Regression Logistic Regression Linear Regression Bridging the Gap between Statistical Methods and Healthcare Rates Index Ratio Rate, Index, and Ratio Trended Over Time Run Charts Control Charts Confidence Intervals Percentiles/Percentile Ranks Odds Ratio Conclusion Discussion Questions 4 Mortality and Readmission Introduction Run/Control Chart Contradiction Methodologically Testing Your Creativity with Data Run Charts Methodology Run Chart Results Control Chart Methodology Control Chart Results Discussion Discussion Questions 5 Patient Experience Introduction Press Ganey Patient Experience Behaviors and State of Mind Survey Methodology Survey Questions Response Scales HCAHPS Survey Statistical Method Review Results Creating Graphs Discussion Discussion Questions 6 AHRQ Safety Survey Introduction Why Focus on Patient Safety? Survey Methodology Sample Responding Survey Items AHRQ Hospital Survey Methodology Results Discussion Discussion Questions 7 Past, Present, and Future: The Evolution of Initiatives Introduction Partnership for Patients Patient Protection and Affordable Care Act Pay for Performance Value-Based Purchasing Hospital Readmissions Reduction Program Hospital-Acquired Condition Reduction Program Bundled Payments for Care Improvement Core Measures and Bundled Treatments Methodology Infection/Safety Domain Methodology Results Discussion Resistors to Change Discussion Questions 8 CMS Star Rating Introduction Composite and Summary Scores Process and Outcome Metrics CMS Star Rating Methodology External Validity Construct Validity Statistical Concepts CMS Star Statistical Methodology K-Means Clustering Step 1: Conversion of Raw Score into z-Scores Step 2: Statistical Technique: Latent Variable Modeling Step 3: K-Means Clustering Box-and-Whiskers Plot Results Discussion Discussion Questions 9 CMS Hospital Compare Introduction Methodology Methodology of Data Definitions Methodology of Statistics Results DEFINE the Metric Focus on the FACTS of What Is Presented STOP and Ask Questions to Plan for Improvement Discussion Discussion Questions 10 Turn Data Into Action Introduction The Art of a Question Step 1: Step Back and Don’t Jump to Conclusions Step 2: Think Methodologically Step 3: Analyze the Metric Step 4: Test Your Creativity with Understanding the Data Step 5: Insights – Use the Skills Learned to Question What You See Step 6: Search for the Critical Questions to Ask Step 7: Trending Data to Understand Past, Present, and Future Step 8: Inquire Others to Have a Complete Picture of What is Happening Step 9: Conclusions – Use All Available Information to Derive Conclusions Step 10: Sustainable Solutions – Create Solutions Discussion Questions Glossary References Index