Nancy A Dreyer

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[Table, Case Example for Chapter 6].

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Table 7-1, Summary of Privacy Rule and Common Rule requirements

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Case Example 5, Selecting data elements for a registry

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

The Certainty Framework for Assessing Real‐World Data in Studies of Medical Product Safety and Effectiveness

Nancy A Dreyer, Wei Zhou, Noelle M Cocoros, 2020, Clinical pharmacology and therapeutics.

WHAT IMPACTS THE QUALITY OF COMPARATIVE-EFFECTIVENESS RESEARCH: A CLASSIFICATION AND REGRESSION TREE ANALYSIS USING THE GRACE CHECKLIST

S. Viswanathan, Nancy A Dreyer, Allison Bryant, 2016 .

Table 18–1, Types of databases used for retrospective database studies, and their typical advantages and disadvantages

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Case Example 40, Integrating data from multiple sources with patient ID matching

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

[Table, Case Examples for Chapter 10].

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Figure 15–2, Retrieve form for data capture diagram

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Case Example 25, Using audits to monitor data quality

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Case Example 24, Developing a performance-linked access system

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Figure 17–1, Basic process flow with patient identifier cross-referencing

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Case Example 4, Designing a registry to address unique patient enrollment challenges

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Table 5–2, Example of guidelines for PRO incorporation into product-labeling claims in oncologya

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

PHP91 Using Observational Comparative Effectiveness Studies to Inform Decision Making: The Need for a Two-Phase Approach to Assessing Quality and Appropriateness

Nancy A Dreyer, Michelle B Leavy, Priscilla Velentgas, 2012 .

Table 3–1, Considerations for study design

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Figure 15–1, A building-block approach to interoperability

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Table 3–2, Overview of registry purposes

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Table 11–2, Data activities performed during registry coordination

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Case Example 53, Using recognition measures to develop a data set

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Table 4–2, Examples of possible baseline data elements

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Table 6–1, Key data sources—strengths and limitations

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Case Example 41, Using patient identity management methods to combine health system data

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Table 22–1, Common quality improvement tools

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Figure 17–2, Data flow through a health information exchange

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Table 3–3, Examples of research questions and key exposures and outcomes

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Table 4–1, Standard terminologies

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Case Example 34, Creating a Registry Interface To Incorporate Data From Multiple Electronic Health Records

Richard E Gliklich, Nancy A Dreyer, 2010 .

Table 22–2, Quality improvement tools implemented in three registries

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Table 11–1, Registry functionalities

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Principles of Registry Ethics, Data Ownership, and Privacy

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Registries for robust evidence.

Nancy A Dreyer, Sarah Garner, N. Dreyer, 2009, JAMA.

Why observational studies should be among the tools used in comparative effectiveness research.

Nancy A Dreyer, N. Dreyer, R. Gliklich, 2010, Health affairs.

21st Century Patient Registries: Registries for Evaluating Patient Outcomes: A User’s Guide: 3rd Edition, Addendum

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2018 .

Balancing the Interests of Patient Data Protection and Medication Safety Monitoring in a Public-Private Partnership

Shahrul Mt-Isa, Nancy A Dreyer, N. Dreyer, 2015, JMIR medical informatics.

Data Collection and Quality Assurance

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

Planning a Registry

Richard E Gliklich, Nancy A Dreyer, Michelle B Leavy, 2014 .

GRACE principles: recognizing high-quality observational studies of comparative effectiveness.

Richard E Gliklich, Nancy A Dreyer, Sebastian Schneeweiss, 2010, The American journal of managed care.

Characterization of Missing Data in Clinical Registry Studies

J Rick Turner, Nancy A Dreyer, Zhaohui Su, 2015, Therapeutic innovation & regulatory science.