You are previewing Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons.
O'Reilly logo
Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons

Book Description

Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons defines patient severity indices for risk adjustments and comparison of patient outcomes to assess quality factors. This Premier Reference Source examines the consequences of patient severity models and investigates the general assumptions required to perform standard severity adjustment.

Table of Contents

  1. Copyright
  2. Dedication
  3. Preface
  4. Introduction to Ranking Models
    1. INTRODUCTION
    2. BACKGROUND IN CODED INFORMATION
    3. REQUIREMENTS OF DATA PREPROCESSING
    4. PATIENT RISK MEASURES
    5. DATASETS USED
    6. NIS DATA
    7. DATA MINING AND HEALTHCARE DATABASES
    8. SAS PROGRAMMING AND DATA MINING
    9. FUTURE TRENDS
    10. DISCUSSION
    11. REFERENCES
  5. Data Visualization and Data Summary
    1. INTRODUCTION
    2. BACKGROUND
    3. KERNEL DENSITY ESTIMATION TO ESTIMATE PATIENT LENGTH OF STAY
    4. ANALYSIS OF EXAMPLE PROCEDURE OF CARDIOVASCULAR SURGERY
    5. PATIENT COMPLIANCE AND DATA SUMMARIES
    6. FUTURE TRENDS
    7. DISCUSSION
    8. REFERENCES
  6. Statistical Methods
    1. INTRODUCTION
    2. BACKGROUND
    3. THE CENTRAL LIMIT THEOREM AND THE ASSUMPTION OF NORMALITY
    4. LINEAR REGRESSION
    5. LOGISTIC REGRESSION
    6. FUTURE TRENDS
    7. DISCUSSION
    8. REFERENCES
  7. Predictive Modeling Versus Regression
    1. INTRODUCTION
    2. BACKGROUND
    3. PREDICTIVE MODELING IN SAS ENTERPRISE MINER
    4. MANY VARIABLES IN LARGE SAMPLES
    5. CHANGE IN SPLIT IN THE DATA
    6. ADDITION OF WEIGHTS FOR DECISION MAKING
    7. INTRODUCTION TO LIFT
    8. PREDICTIVE MODELING OF CONTINUOUS OUTCOMES
    9. PREDICTIVE MODELING TO RANK THE QUALITY OF PROVIDERS
    10. FUTURE TRENDS
    11. DISCUSSION
    12. REFERENCES
  8. The Charlson Comorbidity Index
    1. INTRODUCTION
    2. BACKGROUND
    3. STATISTICAL EXAMINATION OF THE CHARLSON INDEX
    4. CHANGE IN DISEASES TO DEFINE NEW INDEX
    5. VALIDATION
    6. USE OF THE CHARLSON INDEX TO RANK PROVIDERS
    7. FUTURE TRENDS
    8. DISCUSSION
    9. REFERENCES
  9. The All Patient Refined Diagnosis Related Group
    1. INTRODUCTION
    2. BACKGROUND
    3. COMPARISON OF APRDRG INDEX TO PATIENT OUTCOMES
    4. COMPARISON TO THE CHARLSON INDEX
    5. PREDICTION OF APRDRG USING PATIENT DIAGNOSES
    6. PREDICTIVE MODELING OF PROVIDER QUALITY
    7. FUTURE TRENDS
    8. DISCUSSION
    9. REFERENCES
  10. Risk Adjustment Based Upon Resource Utilization
    1. INTRODUCTION
    2. BACKGROUND
    3. RESOURCES IN THE MEPS DATA
    4. COMPARISONS OF THE RESOURCE DEMAND LEVEL TO PATIENT OUTCOMES
    5. DISEASE STAGING COMPARED TO OUTCOMES
    6. PREDICTIVE MODELING FOR QUALITY RANKING
    7. FUTURE TRENDS
    8. DISCUSSION
    9. REFERENCES
  11. Text Mining and Patient Severity Clusters
    1. INTRODUCTION
    2. BACKGROUND
    3. TEXT ANALYSIS OF DIAGNOSIS CODES
    4. CLUSTERING IN SAS TEXT MINER
    5. COMPARISON TO CHARLSON INDEX
    6. COMPARISON TO APRDRG
    7. COMPARISON TO RESOURCE UTILIZATION
    8. USING TEXT MINER TO COMPARE PROVIDER QUALITY RANKINGS
    9. USING PATIENT SEVERITY TO PREDICT OUTCOMES FOR INTERVENTION
    10. FUTURE TRENDS
    11. DISCUSSION
    12. REFERENCES
  12. Working from Claims Data
    1. INTRODUCTION
    2. BACKGROUND
    3. MEPS DATA
    4. MEDPAR DATA
    5. CLAIMS DATA
    6. FUTURE TRENDS
    7. DISCUSSION
    8. REFERENCES
  13. Use of Risk Adjustment Models for Provider Reimbursements
    1. INTRODUCTION
    2. BACKGROUND
    3. EXAMINATION OF THE NUMBER AND IMPORTANCE OF DIAGNOSIS CODES
    4. EXAMPLE OF CARDIOVASCULAR SURGERY
    5. NOSOCOMIAL INFECTION
    6. FUTURE TRENDS
    7. DISCUSSION
    8. REFERENCES
  14. How to Check Measures for Adequacy
    1. INTRODUCTION
    2. BACKGROUND
    3. SUMMARY
    4. FUTURE TRENDS
    5. DISCUSSION
    6. REFERENCES
  15. About the Author
  16. Index