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Accepted for/Published in: JMIR Medical Education

Date Submitted: Feb 8, 2023
Date Accepted: Feb 8, 2023

The final, peer-reviewed published version of this preprint can be found here:

Correction: Personalized Precision Medicine for Health Care Professionals: Development of a Competency Framework

Martin-Sanchez F, Lázaro M, López-Otín C, Andreu AL, Cigudosa JC, Garcia-Barbero M

Correction: Personalized Precision Medicine for Health Care Professionals: Development of a Competency Framework

JMIR Med Educ 2023;9:e46366

DOI: 10.2196/46366

PMID: 36802457

PMCID: 10013127

Correction: Personalized Precision Medicine for Health Care Professionals: Development of a Competency Framework

  • Fernando Martin-Sanchez; 
  • Martín Lázaro; 
  • Carlos López-Otín; 
  • Antonio Luis Andreu; 
  • Juan Cruz Cigudosa; 
  • Milagros Garcia-Barbero

ABSTRACT

Background:

Personalized precision medicine represents a paradigm shift and a new reality for the health care system in Spain, with training being fundamental for its full implementation and application in clinical practice. In this sense, health care professionals face educational challenges related to the acquisition of competencies to perform their professional practice optimally and efficiently in this new environment. The definition of competencies for health care professionals provides a clear guide on the level of knowledge, skills, and attitudes required to adequately carry out their professional practice. In this context, this acquisition of competencies by health care professionals can be defined as a dynamic and longitudinal process by which they use knowledge, skills, attitudes, and good judgment associated with their profession to develop it effectively in all situations corresponding to their field of practice.

Objective:

This report aims to define a proposal of essential knowledge domains and common competencies for all health care professionals, which are necessary to optimally develop their professional practice within the field of personalized precision medicine as a fundamental part of the medicine of the future.

Methods:

Based on a benchmark analysis and the input and expertise provided by a multidisciplinary group of experts through interviews and workshops, a new competency framework that would guarantee the optimal performance of health care professionals was defined. As a basis for the development of this report, the most relevant national and international competency frameworks and training programs were analyzed to identify aspects that are having an impact on the application of personalized precision medicine and will be considered when developing professional competencies in the future.

Results:

This report defines a framework made up of 58 competencies structured into 5 essential domains: determinants of health, biomedical informatics, practical applications, participatory health, and bioethics, along with a cross-cutting domain that impacts the overall performance of the competencies linked to each of the above domains. Likewise, 6 professional profiles to which this proposal of a competency framework is addressed were identified according to the area where they carry out their professional activity: health care, laboratory, digital health, community health, research, and management and planning. In addition, a classification is proposed by progressive levels of training that would be advisable to acquire for each competency according to the professional profile.

Conclusions:

This competency framework characterizes the knowledge, skills, and attitudes required by health care professionals for the practice of personalized precision medicine. Additionally, a classification by progressive levels of training is proposed for the 6 professional profiles identified according to their professional roles.


 Citation

Please cite as:

Martin-Sanchez F, Lázaro M, López-Otín C, Andreu AL, Cigudosa JC, Garcia-Barbero M

Correction: Personalized Precision Medicine for Health Care Professionals: Development of a Competency Framework

JMIR Med Educ 2023;9:e46366

DOI: 10.2196/46366

PMID: 36802457

PMCID: 10013127

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.