Literature DB >> 29512937

The future is now: Technology's impact on the practice of genetic counseling.

Erynn S Gordon1, Deepti Babu2, Dawn A Laney3.   

Abstract

Smartphones, artificial intelligence, automation, digital communication, and other types of technology are playing an increasingly important role in our daily lives. It is no surprise that technology is also shaping the practice of medicine, and more specifically the practice of genetic counseling. While digital tools have been part of the practice of medical genetics for decades, such as internet- or CD-ROM-based tools like Online Mendelian Inheritance in Man and Pictures of Standard Syndromes and Undiagnosed Malformations in the 1980s, the potential for emerging tools to change how we practice and the way patients consume information is startling. Technology has the potential to aid in at-risk patient identification, assist in generating a differential diagnosis, improve efficiency in medical history collection and risk assessment, provide educational support for patients, and streamline follow-up. Here we review the historic and current uses of technology in genetic counseling, identify challenges to integration, and propose future applications of technology that can shape the practice of genetic counseling.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  artificial intelligence; clinical decision-support system; genetic counseling; natural language processing; risk assessment; technology

Mesh:

Year:  2018        PMID: 29512937     DOI: 10.1002/ajmg.c.31599

Source DB:  PubMed          Journal:  Am J Med Genet C Semin Med Genet        ISSN: 1552-4868            Impact factor:   3.908


  10 in total

1.  Transformation to telephonic genetic counselling during SARS-CoV-2 pandemic: challenges and suggested protocol in Indian scenario.

Authors:  Shailesh Pande; Shiny Babu; Harshwardhan Gawde; Neha Minde
Journal:  J Genet       Date:  2022       Impact factor: 1.508

2.  ORCA, a values-based decision aid for selecting additional findings from genomic sequencing in adults: Efficacy results from a randomized trial.

Authors:  Elizabeth G Liles; Michael C Leo; Amanda S Freed; Kathryn M Porter; Jamilyn M Zepp; Tia L Kauffman; Erin Keast; Carmit K McMullen; Inga Gruß; Barbara B Biesecker; Kristin R Muessig; Donna J Eubanks; Laura M Amendola; Michael O Dorschner; Bradley A Rolf; Gail P Jarvik; Katrina A B Goddard; Benjamin S Wilfond
Journal:  Genet Med       Date:  2022-05-06       Impact factor: 8.864

3.  Genetic counselors on the frontline of precision health.

Authors:  Michael J Bamshad; Pilar L Magoulas; Karin M Dent
Journal:  Am J Med Genet C Semin Med Genet       Date:  2018-03-26       Impact factor: 3.908

4.  The Genetic Education for Men (GEM) Trial: Development of Web-Based Education for Untested Men in BRCA1/2-Positive Families.

Authors:  Beth N Peshkin; Mary Kate Ladd; Claudine Isaacs; Hannah Segal; Aryana Jacobs; Kathryn L Taylor; Kristi D Graves; Suzanne C O'Neill; Marc D Schwartz
Journal:  J Cancer Educ       Date:  2021-02       Impact factor: 2.037

5.  Pitfalls and challenges in genetic test interpretation: An exploration of genetic professionals experience with interpretation of results.

Authors:  Katherine E Donohue; Catherine Gooch; Alexander Katz; Jessica Wakelee; Anne Slavotinek; Bruce R Korf
Journal:  Clin Genet       Date:  2021-05       Impact factor: 4.296

6.  The rise of the genetic counseling profession in China.

Authors:  Liya Sun; Bo Liang; Liping Zhu; Yiping Shen; Lin He
Journal:  Am J Med Genet C Semin Med Genet       Date:  2019-03-12       Impact factor: 3.908

Review 7.  Genetic counseling in the context of Bangladesh: current scenario, challenges, and a framework for genetic service implementation.

Authors:  Mohammad Jakir Hosen; Saeed Anwar; Jarin Taslem Mourosi; Sourav Chakraborty; Md Faruque Miah; Olivier M Vanakker
Journal:  Orphanet J Rare Dis       Date:  2021-04-09       Impact factor: 4.123

8.  Patient Interactions With an Automated Conversational Agent Delivering Pretest Genetics Education: Descriptive Study.

Authors:  Daniel Chavez-Yenter; Kadyn E Kimball; Wendy Kohlmann; Rachelle Lorenz Chambers; Richard L Bradshaw; Whitney F Espinel; Michael Flynn; Amanda Gammon; Eric Goldberg; Kelsi J Hagerty; Rachel Hess; Cecilia Kessler; Rachel Monahan; Danielle Temares; Katie Tobik; Devin M Mann; Kensaku Kawamoto; Guilherme Del Fiol; Saundra S Buys; Ophira Ginsburg; Kimberly A Kaphingst
Journal:  J Med Internet Res       Date:  2021-11-18       Impact factor: 5.428

9.  Comparing models of delivery for cancer genetics services among patients receiving primary care who meet criteria for genetic evaluation in two healthcare systems: BRIDGE randomized controlled trial.

Authors:  Kimberly A Kaphingst; Wendy Kohlmann; Rachelle Lorenz Chambers; Melody S Goodman; Richard Bradshaw; Priscilla A Chan; Daniel Chavez-Yenter; Sarah V Colonna; Whitney F Espinel; Jessica N Everett; Amanda Gammon; Eric R Goldberg; Javier Gonzalez; Kelsi J Hagerty; Rachel Hess; Kelsey Kehoe; Cecilia Kessler; Kadyn E Kimball; Shane Loomis; Tiffany R Martinez; Rachel Monahan; Joshua D Schiffman; Dani Temares; Katie Tobik; David W Wetter; Devin M Mann; Kensaku Kawamoto; Guilherme Del Fiol; Saundra S Buys; Ophira Ginsburg
Journal:  BMC Health Serv Res       Date:  2021-06-02       Impact factor: 2.655

10.  Utilization of health information technology among cancer genetic counselors.

Authors:  Jordon B Ritchie; Caitlin G Allen; Heath Morrison; Michelle Nichols; Steven D Lauzon; Joshua D Schiffman; Chanita Hughes Halbert; Brandon M Welch
Journal:  Mol Genet Genomic Med       Date:  2020-05-28       Impact factor: 2.183

  10 in total

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