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<p>Rapid growth in genetic testing usage resulted in declining availability of genetic counselors (GCs) per ordered tests, prolonging the waiting times for face-to-face (F2F) counseling. We evaluated the digital genetic assistant (DGA) for reproductive genetic carrier screening (RGCS) in a real-life clinical setting using a “couple-based” paradigm. The platform provides digital patient intake and automated counseling for low-risk individuals, as well as GC-facing tools that reduce administrative burden in patient-related activities. Among 225 couples undergoing RGCS during the study period, 4% had high-risk results requiring F2F counseling and an additional 4% of low-risk couples requested F2F counseling, suggesting that DGA use reduced GC-participant F2F interactions by 69.3%. GC evaluations revealed that the DGA triaging algorithm was accurate and surveys demonstrated high degrees of user comprehension and satisfaction. These results highlight the utility of digital platforms for patient intake and delivery of low-risk results in settings with limited genetic counseling resources.</p>

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Evaluation of the digital genetic assistant in technology assisted genetic counseling for genetic carrier screening

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月29日

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  • Yuval Yaron,
  • Vered Ofen Glassner,
  • Michal Berkenstadt,
  • Nurit Goldstein,
  • Haike Reznik Wolf,
  • Liat Ries Levavi,
  • Liat Abo Gutstein,
  • Yael Furman,
  • Mori Anouchi,
  • Galit Delmar,
  • Doron M. Behar,
  • Elon Pras,
  • Adi Reches,
  • Alina Kurolap,
  • Hagit Baris Feldman

摘要

Rapid growth in genetic testing usage resulted in declining availability of genetic counselors (GCs) per ordered tests, prolonging the waiting times for face-to-face (F2F) counseling. We evaluated the digital genetic assistant (DGA) for reproductive genetic carrier screening (RGCS) in a real-life clinical setting using a “couple-based” paradigm. The platform provides digital patient intake and automated counseling for low-risk individuals, as well as GC-facing tools that reduce administrative burden in patient-related activities. Among 225 couples undergoing RGCS during the study period, 4% had high-risk results requiring F2F counseling and an additional 4% of low-risk couples requested F2F counseling, suggesting that DGA use reduced GC-participant F2F interactions by 69.3%. GC evaluations revealed that the DGA triaging algorithm was accurate and surveys demonstrated high degrees of user comprehension and satisfaction. These results highlight the utility of digital platforms for patient intake and delivery of low-risk results in settings with limited genetic counseling resources.