Leveraging Clinical Decision Support and Integrated Medical-Dental Electronic Health Records to Implementing Precision in Oral Cancer Risk Assessment and Preventive Intervention

被引:2
|
作者
Rindal, Donald B. [1 ]
Mabry, Patricia L. [1 ]
机构
[1] HealthPartners Inst, Minneapolis, MN 55425 USA
来源
JOURNAL OF PERSONALIZED MEDICINE | 2021年 / 11卷 / 09期
关键词
oral cancer risk; oropharyngeal cancer risk; precision medicine; screening; SBIRT; prevention; clinical practice; artificial intelligence in health care; implementation; TOBACCO-CESSATION; HPV INFECTION; ARTIFICIAL-INTELLIGENCE; HUMAN-PAPILLOMAVIRUS; NATIONAL PREVALENCE; US; ALCOHOL; PART; CARE;
D O I
10.3390/jpm11090832
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Introduction: Precision medicine is focused on serving the unique needs of individuals. Oral and oropharyngeal cancer risk assessment identifies individual risk factors while providing support to reduce risk. The objective is to examine potential current and future strategies to broadly implement evidence-based oral and oropharyngeal cancer risk assessment and screening in dental practices throughout the United States. Methods: Feasible and effective oral cancer risk assessment and risk reduction strategies, ripe for implementation in dental practice, were identified in the published literature. Results: The Screening, Brief Intervention, Referral for Treatment (SBIRT) model is a feasible approach to assessing individual oral cancer risk and providing risk reducing interventions in the dental setting. HPV is a more recently identified risk factor that dentistry is well positioned to address. Evidence supporting the utilization of specific risk assessment tools and risk reduction strategies is summarized and future opportunities discussed. Discussion: Current knowledge of risk factors for oral and oropharyngeal cancers support the recommendation for dental providers to routinely assess all patients for risk factors, educate them about their personal level of cancer risk, and recommend actions to reduce relevant risk factors. Individuals ages 9-26 should be asked about their HPV vaccination status, educated about HPV and oropharyngeal cancer and receive a recommendation to get the HPV vaccination.
引用
收藏
页数:11
相关论文
共 15 条
  • [1] Clinical Decision Support for Hyperbilirubinemia Risk Assessment in the Electronic Health Record
    Petersen, John D.
    Lozovatsky, Margaret
    Markovic, Daniela
    Duncan, Ray
    Zheng, Simon
    Shamsian, Arash
    Kagele, Sonya
    Ross, Mindy K.
    ACADEMIC PEDIATRICS, 2020, 20 (06) : 857 - 862
  • [2] Outcomes Assessment of Implementing the Women's Health Assessment Tool and Clinical Decision Support Toolkit (WHAT/CDS) within an Integrated Delivery System
    Silvestrin, Terry
    Steenrod, Anna
    Coyne, Karin
    Gross, David
    Esinduy, Canan
    Kodsi, Angela
    Slifka, Gayle
    Abraham, Lucy
    Araiza, Anna
    Bushmakin, Andrew
    Luo, Xuemei
    MENOPAUSE-THE JOURNAL OF THE NORTH AMERICAN MENOPAUSE SOCIETY, 2015, 22 (12): : 1400 - 1401
  • [3] Development and Implementation of Electronic Health Record-Integrated Model-Informed Clinical Decision Support Tools for the Precision Dosing of Drugs
    Vinks, Alexander A.
    Peck, Richard W.
    Neely, Michael
    Mould, Diane R.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2020, 107 (01) : 129 - 135
  • [4] Implementing an Electronic Medical Recorded-Based Clinical Decision Support Tool Did Not Improve Cardiovascular Risk Screening in Rheumatoid Arthritis Patients
    Kumthekar, Anand
    Alevizos, Michail
    Jordan, Nicole
    Broder, Anna R.
    ARTHRITIS & RHEUMATOLOGY, 2015, 67
  • [5] Using Electronic Health Record-Based Clinical Decision Support to Provide Social Risk-Informed Care in Community Health Centers: Protocol for the Design and Assessment of a Clinical Decision Support Tool
    Gold, Rachel
    Sheppler, Christina
    Hessler, Danielle
    Bunce, Arwen
    Cottrell, Erika
    Yosuf, Nadia
    Pisciotta, Maura
    Gunn, Rose
    Leo, Michael
    Gottlieb, Laura
    JMIR RESEARCH PROTOCOLS, 2021, 10 (10):
  • [6] Primary care physician experiences utilizing a family health history tool with electronic health record–integrated clinical decision support: an implementation process assessment
    Amy A. Lemke
    Jennifer Thompson
    Peter J. Hulick
    Annette W. Sereika
    Christian Johnson
    Lauren Oshman
    Henry M. Dunnenberger
    Journal of Community Genetics, 2020, 11 : 339 - 350
  • [7] Primary care physician experiences utilizing a family health history tool with electronic health record-integrated clinical decision support: an implementation process assessment
    Lemke, Amy A.
    Thompson, Jennifer
    Hulick, Peter J.
    Sereika, Annette W.
    Johnson, Christian
    Oshman, Lauren
    Dunnenberger, Henry M.
    JOURNAL OF COMMUNITY GENETICS, 2020, 11 (03) : 339 - 350
  • [8] A Semantic Extraction and Sentimental Assessment of Risk Factors (SESARF): An NLP Approach for Precision Medicine A Medical Decision Support Tool for Early Diagnosis from Clinical Notes
    Sabra, Susan
    Mahmood, Khalid
    Alobaidi, Mazen
    2017 IEEE 41ST ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 2, 2017, : 131 - 136
  • [9] Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial
    Lorenzo Moja
    Alessandro Passardi
    Matteo Capobussi
    Rita Banzi
    Francesca Ruggiero
    Koren Kwag
    Elisa Giulia Liberati
    Massimo Mangia
    Ilkka Kunnamo
    Michela Cinquini
    Roberto Vespignani
    Americo Colamartini
    Valentina Di Iorio
    Ilaria Massa
    Marien González-Lorenzo
    Lorenzo Bertizzolo
    Peter Nyberg
    Jeremy Grimshaw
    Stefanos Bonovas
    Oriana Nanni
    Implementation Science, 11
  • [10] Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial
    Moja, Lorenzo
    Passardi, Alessandro
    Capobussi, Matteo
    Banzi, Rita
    Ruggiero, Francesca
    Kwag, Koren
    Liberati, Elisa Giulia
    Mangia, Massimo
    Kunnamo, Ilkka
    Cinquini, Michela
    Vespignani, Roberto
    Colamartini, Americo
    Di Iorio, Valentina
    Massa, Ilaria
    Gonzalez-Lorenzo, Marien
    Bertizzolo, Lorenzo
    Nyberg, Peter
    Grimshaw, Jeremy
    Bonovas, Stefanos
    Nanni, Oriana
    IMPLEMENTATION SCIENCE, 2016, 11