Ebtsam Adel¹, Shaker El-sappagh², Mohammed Elmogy³, Sherif Barakat¹, Kyung-Sup Kwak^4,*

Intelligent Automation & Soft Computing, Vol.26, No.2, pp. 237-251, 2020, DOI:10.31209/2019.100000151

Abstract Information technology is a beneficial tool for the healthcare industry. Health informatics is concerned with using ICT within the healthcare system. Different electronic health record (EHR) systems independently store large amounts of medical data in various structures and formats. Achieving semantic interoperability in EHR environments will improve the healthcare industry. In our previous studies, we proposed a framework that identifies the different heterogeneous medical data sources. In this paper, we move towards implementing the first module of that framework. We expect our framework to be a step towards improving performance and reducing both human mediation and data losses. More >

Sarah A. Twichell¹, Corinna J. Rea¹, Patrice Melvin², Andrew J. Capraro¹, Joshua C. Mandel¹, Michael A. Ferguson¹, Daniel J. Nigrin¹, Kenneth D. Mandl¹, Dionne Graham², Justin P. Zachariah³

Congenital Heart Disease, Vol.12, No.4, pp. 484-490, 2017, DOI:10.1111/chd.12469

Abstract Background: Recognition of high blood pressure (BP) in children is poor, partly due to the need to compute age-sex-height referenced percentiles. This study examined the change in abnormal BP recognition before versus after the introduction of an electronic health record (EHR) app designed to calculate BP percentiles with a training lecture.
Methods and results: Clinical data were extracted on all ambulatory, non-urgent encounters for children 3–18 years old seen in primary care, endocrinology, cardiology, or nephrology clinics at an urban, academic hospital in the year before and the year after app introduction. Outpatients with at least 1 BP above the… More >

Jill M. Steiner¹, James N. Kirkpatrick¹, Susan R. Heckbert², Asma Habib¹, James Sibley³, William Lober³, J. Randall Curtis³

Congenital Heart Disease, Vol.13, No.1, pp. 65-71, 2018, DOI:10.1111/chd.12524

Abstract Introduction: There is relatively sparse literature on the use of administrative datasets for research in patients with adult congenital heart disease (ACHD). The goal of this analysis is to examine the accuracy of administrative data for identifying patients with ACHD who died.
Methods: A list of the International Classification of Diseases codes representing ACHD of moderate- or great-complexity was created. A search for these codes in the electronic health record of adults who received care in 2010–2016 was performed, and used state death records to identify patients who died during this period. Manual record review was completed to evaluate performance… More >

Darcy N. Marckini¹, Bennett P. Samuel¹, Jessica L. Parker², Stephen C. Cook^1,3

Congenital Heart Disease, Vol.14, No.3, pp. 356-361, 2019, DOI:10.1111/chd.12745

Abstract Background: Physician burnout has many undesirable consequences, including nega‐ tive impact on patient care delivery and physician career satisfaction. Electronic health records (EHRs) may exacerbate burnout by increasing physician workload.
Objective: To determine burnout in adult congenital heart disease (ACHD) specialists by assessing stress associated with EHRs.
Design: Electronic survey study of ACHD providers.
Setting: Canada and United States.
Participants: Three hundred eighty‐three ACHD specialists listed on the Adult Congenital Heart Association directory between February and April 2017.
Outcome Measures: Burnout was measured using the Maslach Burnout Inventory (MBI) to understand factors contributing to work life and EHR satisfaction. Chi‐… More >