Electronic Health Record-Based Registries: Clinical Research Using Registries in Colon and Rectal Surgery

被引:1
|
作者
Carlson, Jacob [1 ]
Laryea, Jonathan [1 ]
机构
[1] Univ Arkansas Med Sci, Dept Surg, 4301 W Markham St,Slot 520, Little Rock, AR 72205 USA
关键词
Electronic Health Records; registries; interoperability; clinical research; outcomes; colorectal surgery; MEDICAL-RECORDS; INFORMATION-TECHNOLOGY; CANCER; CARE;
D O I
10.1055/s-0038-1673358
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Electronic health records (EHRs) or electronic medical records (EMRs) contain a vast amount of clinical data that can be useful for multiple purposes including research. Disease registries are collections of data in predefined formats for population management, research, and other purposes. There are differences between EHRs and registries in the data structure, data standards, and protocols. Proprietary EHR systems use different coding systems and data standards, which are usually kept secret. For EHR data to flow seamlessly into registries, there is the need for interoperability between EHR systems and between EHRs and registries. The levels of interoperability required include functional, structural, and semantic interoperability. EHR data can be manually mapped to registry data, but that is a tedious, resource-intensive endeavor. The development of data standards that can be used as building blocks for both EHRs and registries will help overcome the problem of interoperability.
引用
收藏
页码:82 / 90
页数:9
相关论文
共 50 条
  • [31] United States Administrative Databases and Cancer Registries for Thoracic Surgery Health Services Research
    Groth, Shawn S.
    Habermann, Elizabeth B.
    Massarweh, Nader N.
    ANNALS OF THORACIC SURGERY, 2020, 109 (03): : 636 - 644
  • [32] Electronic health record-based disease surveillance systems: A systematic literature review on challenges and solutions
    Aliabadi, Ali
    Sheikhtaheri, Abbas
    Ansari, Hossein
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2020, 27 (12) : 1977 - 1986
  • [33] An Electronic Health Record-Based Strategy to Address Child Tobacco Smoke Exposure
    Mahabee-Gittens, E. Melinda
    Dexheimer, Judith W.
    Tabangin, Meredith
    Khoury, Jane C.
    Merianos, Ashley L.
    Stone, Lara
    Meyers, Gabe T.
    Gordon, Judith S.
    AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2018, 54 (01) : 64 - 71
  • [34] A pragmatic method for electronic medical record-based observational studies: developing an electronic medical records retrieval system for clinical research
    Yamamoto, Keiichi
    Sumi, Eriko
    Yamazaki, Toru
    Asai, Keita
    Yamori, Masashi
    Teramukai, Satoshi
    Bessho, Kazuhisa
    Yokode, Masayuki
    Fukushima, Masanori
    BMJ OPEN, 2012, 2 (06):
  • [35] Context and Approach in Reporting Evaluations of Electronic Health Record-Based Implementation Projects
    Haynes, R. Brian
    del Fiol, Guilherme
    Michelson, Matthew
    Iorio, Alfonso
    ANNALS OF INTERNAL MEDICINE, 2020, 172 : S73 - S78
  • [36] A National, Electronic Health Record-Based Study of Perinatal Hemorrhagic and Ischemic Stroke
    Fraser, Stuart
    Levy, Samantha M.
    Talebi, Yashar
    Savitz, Sean I.
    Zha, Alicia
    Zhu, Gen
    Wu, Hulin
    JOURNAL OF CHILD NEUROLOGY, 2023, 38 (3-4) : 206 - 215
  • [37] Granite: Diversified, Sparse Tensor Factorization for Electronic Health Record-Based Phenotyping
    Henderson, Jette
    Ho, Joyce C.
    Kho, Abel N.
    Denny, Joshua C.
    Malin, Bradley A.
    Sun, Jimeng
    Ghosh, Joydeep
    2017 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI), 2017, : 214 - 223
  • [38] Nordic Health Registry-Based Research: A Review of Health Care Systems and Key Registries
    Laugesen, Kristina
    Ludvigsson, Jonas F.
    Schmidt, Morten
    Gissler, Mika
    Valdimarsdottir, Unnur Anna
    Lunde, Astrid
    Sorensen, Henrik Toft
    CLINICAL EPIDEMIOLOGY, 2021, 13 : 533 - 554
  • [39] Inverse Probability of Treatment Weighting and Confounder Missingness in Electronic Health Record-based Analyses: A Comparison of Approaches Using Plasmode Simulation
    Vader, Daniel T.
    Mamtani, Ronac
    Li, Yun
    Griffith, Sandra D.
    Calip, Gregory S.
    Hubbard, Rebecca A.
    EPIDEMIOLOGY, 2023, 34 (04) : 520 - 530
  • [40] Common inpatient hypoglycemia phenotypes identified from an automated electronic health record-based prediction model
    Choi, Yoonyoung
    Staley, Ben
    Soria-Saucedo, Rene
    Henriksen, Carl
    Rosenberg, Amy
    Winterstein, Almut G.
    AMERICAN JOURNAL OF HEALTH-SYSTEM PHARMACY, 2019, 76 (03) : 166 - 174