goldsteinepi/validation_hcv: Data quality in electronic health record research: an approach for validation and quantitative bias analysis for imperfectly ascertained health outcomes via diagnostic codes.

3 × 3 Data Quality Assessment Tool Analysis for Electronic Health Records’ Secondary Use

Suler, Dennis J., Jr.

January 2019

This Delphi study includes an analysis of 3 × 3 data quality assessment (DQA), an electronic health ...

Flowchart of the data quality assessment.

Ki-Hoon Kim (9118382)
Seol Whan Oh (17419671)
Soo Jeong Ko (17419674)
Kang Hyuck Lee (1683661)
Wona Choi (13110145)
In Young Choi (6639794)

November 2023

Numerous studies make extensive use of healthcare data, including human materials and clinical infor...

A comprehensive framework for data quality assessment in CER

Erin Holve (moderator
Michael Kahn
Meredith Nahm
Patrick Ryan
Nicole Weiskopf

August 2016

The panel addresses the urgent need to ensure that comparative effectiveness research (CER) findings...

goldsteinepi/validation_hcv: Data quality in electronic health record research: an approach for validation and quantitative bias analysis for the data scientist.

Neal D. Goldstein

March 2021

Goldstein ND, Kahal D, Testa K, Burstyn I. Data quality in electronic health record research: an app...

goldsteinepi/validation_hcv: Accuracy of chronic Hepatitis C diagnosis in the electronic medical record: implications for bias correction approaches.

Neal D. Goldstein

September 2019

Goldstein ND, Kahal D, Testa K. Accuracy of chronic Hepatitis C diagnosis in the electronic medical ...

goldsteinepi/validation_hcv: Accuracy of chronic Hepatitis C diagnosis in the electronic medical record: implications for recalling patients for treatment.

Neal D. Goldstein

January 2020

Goldstein ND, Kahal D, Testa K, Burstyn I. Accuracy of chronic Hepatitis C diagnosis in the electron...

How to validate a diagnosis recorded in electronic health records

Nissen, Francis
Quint, Jennifer K.
Morales, Daniel R.
Douglas, Ian J.

March 2019

Systematic measurement errors in electronic health record databases can lead to large inferential er...

goldsteinepi/catchment: Inverse probability weighting for selection bias in a Delaware community health center electronic medical record study of community deprivation and hepatitis C prevalence.

Neal D. Goldstein

July 2020

Goldstein ND, Kahal D, Testa K, Burstyn I. Inverse probability weighting for selection bias in a Del...

Validating the Weiskopf 3x3 Data Quality Assessment Framework

Callahan, Tiffany J

December 2021

Electronic Health Record (EHR) data is often used to solve complicated clinical problems (Safran, Bl...

Automating Electronic Clinical Data Capture for Quality Improvement and Research: The CERTAIN Validation Project of Real World Evidence.

Devine, EB
Van Eaton, E
Zadworny, ME
Symons, R
Devlin, A
Yanez, D
Yetisgen, M
Keyloun, KR
Capurro, D
Alfonso-Cristancho, R
Flum, DR
Tarczy-Hornoch, P

May 2018

Background: The availability of high fidelity electronic health record (EHR) data is a hallmark of t...

How to validate a diagnosis recorded in electronic health records.

Nissen, Francis
Quint, Jennifer K
Morales, Daniel R
Douglas, Ian J

March 2019

Systematic measurement errors in electronic health record databases can lead to large inferential er...

goldsteinepi/catchment: Catchment and selection bias in an outpatient electronic medical record study of community deprivation and chronic Hepatitis C virus infection.

Neal D. Goldstein

January 2020

Goldstein ND, Kahal D, Testa K, Burstyn I. Catchment and selection bias in an outpatient electronic ...

Provider verification of electronic health record receipt and nonreceipt of direct-acting antivirals for the treatment of hepatitis C virus infection.

Rentsch, Christopher T
Cartwright, Emily J
Gandhi, Neel R
Brown, Sheldon T
Rodriguez-Barradas, Maria C
Goetz, Matthew Bidwell
Marconi, Vincent C
Gibert, Cynthia L
Re, Vincent Lo
Fiellin, David A
Justice, Amy C
Tate, Janet P

August 2018

PURPOSE: Pharmacoepidemiologic studies using electronic health record data could serve an important ...

Study title, ethical approval, inclusion/exclusion criteria, study sites, study duration, sample size, number (percentage) of HCV positive patients and types of HCV infection.

Chau Le Ngoc (6453857)
Thanh Tran Thi Thanh (6453860)
Phuong Tran Thi Lan (6453863)
Trinh Nguyen Mai (6453866)
Trang Nguyen Hoa (6453869)
Ngoc Nghiem My (6453872)
Tan Le Van (321681)
Hung Le Manh (3322809)
Phuong Le Thanh (6453875)
Chau Nguyen Van Vinh (155634)
Guy Thwaites (155694)
Graham Cooke (136650)
Gabrielle M. Heilek (6453878)
Cecilia Shikuma (22963)
Thuy Le (103233)
Stephen Baker (30387)
Motiur Rahman (365784)

March 2019

Study title, ethical approval, inclusion/exclusion criteria, study sites, study duration, sample siz...

Evaluation research studies essential to ensuring health information systems meet the needs of users, including patients [editorial]

Callen, Joanne

January 2016

Electronic health records and the Internet will continue to transform how information is accessed an...

3 × 3 Data Quality Assessment Tool Analysis for Electronic Health Records’ Secondary Use

Suler, Dennis J., Jr.

January 2019

This Delphi study includes an analysis of 3 × 3 data quality assessment (DQA), an electronic health ...

Flowchart of the data quality assessment.

Ki-Hoon Kim (9118382)
Seol Whan Oh (17419671)
Soo Jeong Ko (17419674)
Kang Hyuck Lee (1683661)
Wona Choi (13110145)
In Young Choi (6639794)

November 2023

Numerous studies make extensive use of healthcare data, including human materials and clinical infor...

A comprehensive framework for data quality assessment in CER

Erin Holve (moderator
Michael Kahn
Meredith Nahm
Patrick Ryan
Nicole Weiskopf

August 2016

The panel addresses the urgent need to ensure that comparative effectiveness research (CER) findings...

goldsteinepi/validation_hcv: Data quality in electronic health record research: an approach for validation and quantitative bias analysis for the data scientist.

Neal D. Goldstein

March 2021

Goldstein ND, Kahal D, Testa K, Burstyn I. Data quality in electronic health record research: an app...

goldsteinepi/validation_hcv: Accuracy of chronic Hepatitis C diagnosis in the electronic medical record: implications for bias correction approaches.

Neal D. Goldstein

September 2019

Goldstein ND, Kahal D, Testa K. Accuracy of chronic Hepatitis C diagnosis in the electronic medical ...

goldsteinepi/validation_hcv: Accuracy of chronic Hepatitis C diagnosis in the electronic medical record: implications for recalling patients for treatment.

Neal D. Goldstein

January 2020

Goldstein ND, Kahal D, Testa K, Burstyn I. Accuracy of chronic Hepatitis C diagnosis in the electron...

How to validate a diagnosis recorded in electronic health records

Nissen, Francis
Quint, Jennifer K.
Morales, Daniel R.
Douglas, Ian J.

March 2019

Systematic measurement errors in electronic health record databases can lead to large inferential er...

goldsteinepi/catchment: Inverse probability weighting for selection bias in a Delaware community health center electronic medical record study of community deprivation and hepatitis C prevalence.

Neal D. Goldstein

July 2020

Goldstein ND, Kahal D, Testa K, Burstyn I. Inverse probability weighting for selection bias in a Del...

Validating the Weiskopf 3x3 Data Quality Assessment Framework

Callahan, Tiffany J

December 2021

Electronic Health Record (EHR) data is often used to solve complicated clinical problems (Safran, Bl...

Automating Electronic Clinical Data Capture for Quality Improvement and Research: The CERTAIN Validation Project of Real World Evidence.

Devine, EB
Van Eaton, E
Zadworny, ME
Symons, R
Devlin, A
Yanez, D
Yetisgen, M
Keyloun, KR
Capurro, D
Alfonso-Cristancho, R
Flum, DR
Tarczy-Hornoch, P

May 2018

Background: The availability of high fidelity electronic health record (EHR) data is a hallmark of t...

How to validate a diagnosis recorded in electronic health records.

Nissen, Francis
Quint, Jennifer K
Morales, Daniel R
Douglas, Ian J

March 2019

Systematic measurement errors in electronic health record databases can lead to large inferential er...

goldsteinepi/catchment: Catchment and selection bias in an outpatient electronic medical record study of community deprivation and chronic Hepatitis C virus infection.

Neal D. Goldstein

January 2020

Goldstein ND, Kahal D, Testa K, Burstyn I. Catchment and selection bias in an outpatient electronic ...

Provider verification of electronic health record receipt and nonreceipt of direct-acting antivirals for the treatment of hepatitis C virus infection.

Rentsch, Christopher T
Cartwright, Emily J
Gandhi, Neel R
Brown, Sheldon T
Rodriguez-Barradas, Maria C
Goetz, Matthew Bidwell
Marconi, Vincent C
Gibert, Cynthia L
Re, Vincent Lo
Fiellin, David A
Justice, Amy C
Tate, Janet P

August 2018

PURPOSE: Pharmacoepidemiologic studies using electronic health record data could serve an important ...

Study title, ethical approval, inclusion/exclusion criteria, study sites, study duration, sample size, number (percentage) of HCV positive patients and types of HCV infection.

Chau Le Ngoc (6453857)
Thanh Tran Thi Thanh (6453860)
Phuong Tran Thi Lan (6453863)
Trinh Nguyen Mai (6453866)
Trang Nguyen Hoa (6453869)
Ngoc Nghiem My (6453872)
Tan Le Van (321681)
Hung Le Manh (3322809)
Phuong Le Thanh (6453875)
Chau Nguyen Van Vinh (155634)
Guy Thwaites (155694)
Graham Cooke (136650)
Gabrielle M. Heilek (6453878)
Cecilia Shikuma (22963)
Thuy Le (103233)
Stephen Baker (30387)
Motiur Rahman (365784)

March 2019

Study title, ethical approval, inclusion/exclusion criteria, study sites, study duration, sample siz...

Evaluation research studies essential to ensuring health information systems meet the needs of users, including patients [editorial]

Callen, Joanne

January 2016

Electronic health records and the Internet will continue to transform how information is accessed an...

3 × 3 Data Quality Assessment Tool Analysis for Electronic Health Records’ Secondary Use

Suler, Dennis J., Jr.

January 2019

This Delphi study includes an analysis of 3 × 3 data quality assessment (DQA), an electronic health ...

Flowchart of the data quality assessment.

Ki-Hoon Kim (9118382)
Seol Whan Oh (17419671)
Soo Jeong Ko (17419674)
Kang Hyuck Lee (1683661)
Wona Choi (13110145)
In Young Choi (6639794)

November 2023

Numerous studies make extensive use of healthcare data, including human materials and clinical infor...

A comprehensive framework for data quality assessment in CER

Erin Holve (moderator
Michael Kahn
Meredith Nahm
Patrick Ryan
Nicole Weiskopf

August 2016

The panel addresses the urgent need to ensure that comparative effectiveness research (CER) findings...

goldsteinepi/validation_hcv: Data quality in electronic health record research: an approach for validation and quantitative bias analysis for imperfectly ascertained health outcomes via diagnostic codes.

Abstract

Extracted data

goldsteinepi/validation_hcv: Data quality in electronic health record research: an approach for validation and quantitative bias analysis for imperfectly ascertained health outcomes via diagnostic codes.

Abstract

Extracted data

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