You are previewing International Journal of Privacy and Health Information Management (IJPHIM) Volume 3, Issue 2.
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International Journal of Privacy and Health Information Management (IJPHIM) Volume 3, Issue 2

Book Description

The International Journal of Privacy and Health Information Management (IJPHIM) publishes original research and reviews on all aspects of privacy and health information management. The journal serves as a unique venue for researchers as well as practitioners interested in reviewing the latest research on application of computational methods to various aspects of privacy and the management of healthcare information. Aspects of interest can cover such diverse topics as technological, medical, social, ethical, and legal aspects of healthcare data. The journal publishes three types of rigorous and high quality articles: research articles, research notes, and research reviews. Research articles are full papers presenting innovative findings that make substantial theoretical and empirical contributions to knowledge in the field by using various theoretical and methodological approaches. Research notes are novel, complete and concise high quality research articles; they may include exploratory studies, extensions of articles previously published in IJPHIM and summaries of doctoral theses in related areas. Research reviews are insightful and carefully crafted articles that conceptualize research areas, synthesize previous innovative findings, advance the understanding of the field, and identify and develop future research directions. Authors are welcome to submit manuscripts that qualify for any of these three categories.

This issue contains the following articles:

  • Publicness, Goal Ambiguity and Patient Safety: Exploring Organizational Factors in Hospital Practice
  • Health Expenditure: Short and Long-Term Relations in Latin America, 1995-2010
  • Cost Effective Design of an RFID Based Healthcare Service System
  • Segmentation of Lung Nodules in CT Scan Data: A Review
  • Sentiment Analysis for Health Care
  • Analysis of Valuable Techniques and Algorithms Used in Automated Skin Lesion Recognition Systems

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Special Issue on Multidisciplinary Approaches to Handling Complexity in Healthcare
    1. REFERENCES
  5. Publicness, Goal Ambiguity and Patient Safety:
    1. ABSTRACT
    2. INTRODUCTION: PATIENT SAFETY AND HEALTH CARE ORGANIZATIONS
    3. BACKGROUND: PATIENT SAFETY AND ORGANIZATIONAL FACTORS
    4. PUBLIC-PRIVATE DIFFERENCES IN HEALTHCARE ORGANIZATIONS
    5. PUBLICNESS IN HEALTHCARE ORGANIZATIONS
    6. PUBLICNESS AND ORGANIZATIONAL PERFORMANCE
    7. IMPACT OF PUBLICNESS ON PERFORMANCE
    8. GOAL AMBIGUITY AND ORGANIZATIONAL PERFORMANCE
    9. PUBLICNESS AND GOAL AMBIGUITY
    10. CONCLUSION: PUBLICNESS, GOAL AMBIGUITY AND PATIENT SAFETY
    11. REFERENCES
    12. ADDITIONAL READINGS
  6. Health Expenditure:
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. VARIABLES
    5. ECONOMETRIC METHODS
    6. PANEL CROSS SECTION FIXED EFFECTS
    7. GOVERNMENT HEALTH EXPENDITURE
    8. OUT-OF-POCKET PAYMENTS
    9. DYNAMIC MODEL
    10. DYNAMIC TOTAL HEALTH EXPENDITURE
    11. DYNAMIC GOVERNMENT HEALTH EXPENDITURE
    12. DYNAMIC OOP
    13. SHORT AND LONG-RUN DYNAMICS
    14. CONCLUSION
    15. REFERENCES
  7. Cost Effective Design of an RFID Based Healthcare Service System
    1. ABSTRACT
    2. INTRODUCTION
    3. PERFORMANCE ANALYSIS
    4. PRIVACY AND SECURITY CONCERNS
    5. RIFD LIMITATIONS
    6. CONCLUSION
    7. REFERENCES
  8. Segmentation of Lung Nodules in CT Scan Data:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BACKGROUND
    4. 3. LITERATURE REVIEW
    5. 4. PERFORMANCE COMPARISON OF EXISTING NODULE DETECTION METHODS
    6. 5. CONCLUSION
    7. REFERENCES
  9. Sentiment Analysis for Health Care
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. HEALTH CARE SENTIMENT DATA
    5. HEALTH CARE ANALYSIS
    6. OUTCOME OF SENTIMENT ANALYSIS
    7. NLP CHALLENGES
    8. ASPECT BASED SENTIMENT ANALYSIS
    9. DISCUSSION AND RECOMMENDATIONS
    10. FUTURE RESEARCH DIRECTIONS
    11. CONCLUSION
    12. REFERENCES
  10. Analysis of Valuable Techniques and Algorithms Used in Automated Skin Lesion Recognition Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. FEATURES USED FOR MAKING CLASSIFIER COMPARISON
    4. CONCLUSION
    5. REFERENCES
  11. Call For Articles