Virtual poster abstracts counseling are increasingly important. However, clinicians are challenged by a growing body of information and time constraints. Digital-interactive education aids can deliver information to patients in a consistent, interactive manner and alleviate clinician time demands. Previous studies of digital-interactive education aids may not have included content on cfDNA testing or compared a mobile phone chatbot with non-digital education. Methods: A systematic literature review was performed to identify current challenges in the delivery and receipt of pretest education. Based on these findings, we examined the benefits and limitations of different digital platforms and designed a mobile application to deliver relevant patient education for prenatal testing options. Results: A chatbot was created in partnership with an internal software development team, and will be available as a smartphone application compatible with iOS and Android operating systems. This application includes images and videos, interactive buttons and a majority of content at a reading level of 8th grade or below. The information, which was compiled by a team of experienced clinical prenatal genetic counselors, obstetricians and perinatologists, is grouped into key topics: chromosomes, conditions and tests. The application can provide information about time spent and frequency of topic, image and video selections to determine the most commonly-used features. Conclusions: A randomised controlled trial comparing the digital education aid to non-digital education is under way to evaluate the utility of this alternate delivery model. The chatbot digital interactive aid has the potential to increase patient knowledge about prenatal testing options by providing individualised, interactive learning and decreasing clinician counseling time. VP34.21 Machine learning of the basic obstetric ultrasound examination: validation of the standardised six-step approach Objectives: In low-income settings women have limited access to antenatal ultrasound. A combination of low-cost ultrasound devices, simple imaging protocols and intelligent image analysis could enable less skilled operators to perform basic obstetric scans reliably. We assess the validity of the six-step protocol (6SP), designed for sonographer use, for machine learning purposes. Methods: Pregnant women at 19 to 36 weeks were enrolled prospectively and the 6SP undertaken by trained sonographers. Retrospective ultrasound video analysis assessed if the first five steps could independently and accurately confirm presentation, viability, multiple pregnancy, placentation and amniotic fluid. Results: 230 videos were recorded from 1 twin and 79 singleton pregnancies. Placental location could not be confirmed by any step in 11/80 cases. Step 1 could not confirm fetal presentation in 31/77 cases and Step 2 could not confirm viability in 15/77 cases. If all other steps were considered, presentation and viability could be confirmed in 100% and 99%, respectively. There was one case of oligohydramnios, correctly identified by the 6SP. Conclusions: In clinical studies, the 6SP has one step for each objective. We show that meaningful, overlapping clinical information can be obtained from different steps of the 6SP. Just as humans do not interpret single scan sweeps in isolation, this study suggests there may be benefits for automated decision-making algorithms to be based on scanning protocols in their entirety. A way to better visualise the placenta is needed. Objectives: This study aimed to explore MSc Ultrasound students' experiences of using simulation-based training for transvaginal ultrasound practice (TVUS). The study explored the students' views in the TV learning environments of both simulation-based training and clinical-based training. Methods: A phenomenological qualitative study was conducted at University College Dublin, Republic of Ireland, in 2018 and 2019 which included 16 participants (ten midwives and six radiographers). Individual phone-based interviews were completed and the thematic method was employed for analysis. Member checking (respondent validation) was used to ensure the credibility of both the collected data and the thematic synthesis of the results.
CITATION STYLE
Chen, K., Su, B., Jones, R., Schmid, M., De Maria, A., & Kostenko, E. (2020). VP34.20: Development of a chatbot education aid for prenatal testing options. Ultrasound in Obstetrics & Gynecology, 56(S1), 201–202. https://doi.org/10.1002/uog.22853
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