Integrating pharmacogenomics into electronic health records with clinical decision support

被引:105
|
作者
Hicks, J. Kevin
Dunnenberger, Henry M. [1 ]
Gumpper, Karl F. [2 ]
Haidar, Cyrine E. [3 ]
Hoffman, James M. [3 ]
机构
[1] NorthShore Univ HealthSyst, Ctr Mol Med, Evanston, IL USA
[2] Boston Childrens Hosp, Dept Pharm, Boston, MA USA
[3] St Jude Childrens Res Hosp, Dept Pharmaceut Sci, 332 N Lauderdale St, Memphis, TN 38105 USA
基金
美国国家卫生研究院;
关键词
clinical decision support systems; Clinical Pharmacogenetics Implementation Consortium (CPIC); electronic health records; pharmacogenomics; precision medicine; IMPLEMENTATION CONSORTIUM GUIDELINES; HLA-B GENOTYPE; CPIC GUIDELINES; PERSONALIZED MEDICINE; GENOMIC DATA; 2014; UPDATE; PREEMPTIVE PHARMACOGENOMICS; TECHNICAL DESIDERATA; KNOWLEDGE RESOURCES; PRECISION MEDICINE;
D O I
10.2146/ajhp160030
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Purpose. Existing pharmacogenomic informatics models, key implementation steps, and emerging resources to facilitate the development of pharmacogenomic clinical decision support (CDS) are described. Summary. Pharmacogenomics is an important component of precision medicine. Informatics, especially CDS in the electronic health record (EHR), is a critical tool for the integration of pharmacogenomics into routine patient care. Effective integration of pharmacogenomic CDS into the EHR can address implementation challenges, including the increasing volume of pharmacogenomic clinical knowledge, the enduring nature of pharmacogenomic test results, and the complexity of interpreting results. Both passive and active CDS provide point-of-care information to clinicians that can guide the systematic use of pharmacogenomics to proactively optimize pharmacotherapy. Key considerations for a successful implementation have been identified; these include clinical workflows, identification of alert triggers, and tools to guide interpretation of results. These considerations, along with emerging resources from the Clinical Pharmacogenetics Implementation Consortium and the National Academy of Medicine, are described. Conclusion. The EHR with CDS is essential to curate pharmacogenomic data and disseminate patient-specific information at the point of care. As part of the successful implementation of pharmacogenomics into clinical settings, all relevant clinical recommendations pertaining to gene drug pairs must be summarized and presented to clinicians in a manner that is seamlessly integrated into the clinical workflow of the EHR. In some situations, ancillary systems and applications outside the EHR may be integrated to augment the capabilities of the EHR.
引用
收藏
页码:1967 / 1976
页数:10
相关论文
共 50 条
  • [1] Integrating Electronic Health Records in Clinical Decision Support Systems
    Sanchez, Eider
    Toro, Carlos
    Grana, Manuel
    [J]. INNOVATION IN MEDICINE AND HEALTHCARE 2015, 2016, 45 : 407 - 416
  • [2] Integrating genomic-based clinical decision support into electronic health records
    Al Mallah, Amr
    Guelpa, Paul
    Marsh, Sharon
    van Rooij, Tibor
    [J]. PERSONALIZED MEDICINE, 2010, 7 (02) : 163 - 170
  • [3] Electronic Health Records and Use of Clinical Decision Support
    Mills, Sherri
    [J]. CRITICAL CARE NURSING CLINICS OF NORTH AMERICA, 2019, 31 (02) : 125 - +
  • [4] Impact of Integrating Public Health Clinical Decision Support Alerts Into Electronic Health Records on Testing for Gastrointestinal Illness
    Wu, Winfred Y.
    Hripcsak, George
    Lurio, Joseph
    Pichardo, Michelle
    Berg, Rachel
    Buck, Michael D.
    Morrison, Frances P.
    Kitson, Kwame
    Calman, Neil
    Mostashari, Farzad
    [J]. JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE, 2012, 18 (03): : 224 - 227
  • [5] Electronic Health Records, Clinical Decision Support, and Blood Pressure Control
    Samal, Lipika
    Linder, Jeffrey A.
    Lipsitz, Stuart R.
    Hicks, LeRoi S.
    [J]. AMERICAN JOURNAL OF MANAGED CARE, 2011, 17 (09): : 626 - 632
  • [6] Integrating pharmacogenetic information and clinical decision support into the electronic health record
    Goldspiel, Barry R.
    Flegel, Willy A.
    DiPatrizio, Gary
    Sissung, Tristan
    Adams, Sharon D.
    Penzak, Scott R.
    Biesecker, Leslie G.
    Fleisher, Thomas A.
    Patel, Jharana J.
    Herion, David
    Figg, William D.
    Lertora, Juan J. L.
    McKeeby, Jon W.
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2014, 21 (03) : 522 - 528
  • [7] Use of Electronic Health Records and Clinical Decision Support Systems for Antimicrobial Stewardship
    Forrest, Graeme N.
    Van Schooneveld, Trevor C.
    Kullar, Ravina
    Schulz, Lucas T.
    Phu Duong
    Postelnick, Michael
    [J]. CLINICAL INFECTIOUS DISEASES, 2014, 59 : S122 - S133
  • [8] Electronic Health Records in Sweden: From Administrative Management to Clinical Decision Support
    Kajbjer, Karin
    Nordberg, Ragnar
    Klein, Gunnar O.
    [J]. HISTORY OF NORDIC COMPUTING 3, 2011, 350 : 74 - +
  • [9] Economic impact of clinical decision support interventions based on electronic health records
    Lewkowicz, Daniel
    Wohlbrandt, Attila
    Boettinger, Erwin
    [J]. BMC HEALTH SERVICES RESEARCH, 2020, 20 (01)
  • [10] Economic impact of clinical decision support interventions based on electronic health records
    Daniel Lewkowicz
    Attila Wohlbrandt
    Erwin Boettinger
    [J]. BMC Health Services Research, 20