ArticleHealthcare informatics research2019
Integrating Genetic Data into Electronic Health Records: Medical Geneticists' Perspectives.
Article in Healthcare informatics research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional Requirements for Medical Data Integration into Knowledge Management Environments: Requirements Elicitation Approach Based on Systematic Literature Analysis.Journal of medical Internet research · 2023Pooled it
- The Polygenic Nature of Multiple Sclerosis: Genetic Variants, Immunological Modulation, and Environmental Connections.Endocrine, metabolic & immune disorders drug targets · 2025Review
- Disease coverage of human genome-wide association studies and pharmaceutical research and development.Communications medicine · 2024Article
- The Use of Precision Medicine to Support the Precision of Clinical Decisions in care delivery.Yearbook of medical informatics · 2024Article
- Integration of pharmacogenetic data in epic genomic module drives clinical decision support alerts.Frontiers in pharmacology · 2024Article
- US Residents' Preferences for Sharing of Electronic Health Record and Genetic Information: A Discrete Choice Experiment.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023Article
- Genomic medicine to reduce tobacco and related disorders: Translation to precision prevention and treatment.Addiction neuroscience · 2023Article
- Digital Health Equity: Addressing Power, Usability, and Trust to Strengthen Health Systems.Yearbook of medical informatics · 2022Review
- Dynamic Demand-Centered Process-Oriented Data Model for Inventory Management of Hemovigilance Systems.Healthcare informatics research · 2021Article
- Late-Onset Ornithine Transcarbamylase Deficiency and Variable Phenotypes in Vietnamese Females WithFrontiers in pediatrics · 2020Article
- Finding buried genetic test results in the electronic health record is inefficient and variable across institutions.Therapeutic advances in rare diseaseArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesGenetic disorders are the main causes of many other diseases. Integrating genetic data into Electronic Health Records (EHRs) can facilitate the management of genetic information and care of patients in clinical practices. The aim of this study was to identify the main requirements for integrating genetic data into the EHR system from the medical geneticists' perspectives.
methodsThe research was completed in 2018 and consisted of two phases. In the first phase, the main requirements for integrating genetic data into the EHR system were identified by reviewing the literature. In the second phase, a 5-point Likert scale questionnaire was developed based on the literature review and the results derived from the first phase. Then, the Delphi method was applied to reach a consensus about the integration requirements.
resultsThe findings of the first phase showed that data elements, including patients' and healthcare providers' personal data, clinical and genetic data, technical infrastructure, security issues and functional requirements, should be taken into account before data integration. In the second phase, a consensus was reached for most of the items (mean ≥3.75). The items with a mean value of less than 2.5 did not achieve a consensus and were removed from the final list.
conclusionsThe integration of genetic data into the EHRs can provide a ground for increasing accuracy and precision in the diagnosis and treatment of genetic disorders. Such integration requires adequate investments to identify users' requirements as well as technical and non-technical issues.
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