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HUMAN-COMPUTER INTERACTION IN MEDICAL EDUCATION

Yıl 2021, Cilt: 4 Sayı: 1, 23 - 28, 31.01.2021

Öz

As a pivotal and critical constituent of medical education, notable Human-Computer Interaction (HCI) conduct emphasizes attention for building a domain in which each and every employee develops and excels. HCI, as is always an essential partner in medical field, is here understood as the central idea or the thematic statement of the study. The aim of this study is to summarize the analysis of the selected sample into a compound article that move within the circle of Human-Computer Interaction in medical education. The study was conducted as a review of 55 articles selected from refined 250 ones, within the concept of technology in medicine in a period of 3 years (2016-2019). Descriptive approach is used through an evaluative analysis, where literature review is considered as a tool for data collection.

Kaynakça

  • Alexandru, A. G., Radu, I. M., & Bizon, M. L. (2018). Big data in healthcare-opportunities and challenges. Informatica Economica, 22(2), 43-54.
  • Pavlović, A., Kalezić, N., Trpković, S., Videnović, N., & Šulović, L. (2018). The application of simulation in medical education-our experience “from improvisation to simulation”. Srpski Arhiv Za Celokupno Lekarstvo, 146(5-6), 338-344.
  • Amaro-Gahete, F., De-la-O, A., Jurado-Fasoli, L., Espuch-Oliver, A., & Gutierrez, A. (2018). Exercise training as S-Klotho protein stimulator in sedentary healthy adults: Rationale, design, and methodology. Contemporary Clinical Trials Communications, 11, 10-19.
  • Barr, M. (2018). Student attitudes to games-based skills development: Learning from video games in higher education. Computers in Human Behavior, 80, 283-294.
  • Bartholomeusz, M. D., Bolton, P., Callister, R., Skinner, V., & Hodgson, D. (2017). Design, rationale and feasibility of a multidimensional experimental protocol to study early life stress. Contemporary Clinical Trials Communications, 7, 33-43.
  • Batterham, P., Calear, A., Gulliver, A., & Farrer, L. (2019). Efficacy of a transdiagnostic, video-based online program for reducing depression, anxiety, and suicidal ideation in adults: Protocol for a randomised controlled trial. Contemporary Clinical Trials Communications, 14, 1-5.
  • Bhattacharya, A., Kolovson, S., Sung, Y.-C., Eacker, M., & Kientz, J. (2018). Understanding pivotal experiences in behavior change for the design of technologies for personal wellbeing. Journal of Biomedical Informatics, 79, 129-142.
  • Bote-Curiel L., Muñoz-Romero S., Gerrero-Curieses A. & Rojo-Álvarez J.L., (2019). Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners, Applied Science 2019, 9, 23-31.
  • Brunyé, T., Mercan, E., Weaver, D., & Elmore, J. (2017). Accuracy is in the eyes of the pathologist: The visual interpretive process and diagnostic accuracy with digital whole slide images. Journal of Biomedical Informatics, 66, 171-179.
  • Chung, J., Ozkaynak, M., & Demiris, G. (2017). Examining daily activity routines of older adults using workflow. Journal of Biomedical Informatics, 71, 82-90.
  • Chen, A., Wu, S., Tomasino, K., Lattie, E., & Mohr, D. (2019). A multi-faceted approach to characterizing user behavior and experience in a digital mental health intervention. Journal of Biomedical Informatics, 94, 1-13.
  • Christensen, B. J., Schmidt, J., Nielsen, M., Tækker, L., & Sjödin, A. (2018). Patient profiling for success after weight loss surgery (GO Bypass study): An interdisciplinary study protocol. Contemporary Clinical Trials Communications, 10, 121-130.
  • Collins, S., Ramirez, S., Tsivkin, K., Mar, P., & Rocha, R. (2017). Next generation terminology infrastructure to support interprofessional care planning. Journal of Biomedical Informatics, 75, 22-34.
  • Delgaty, L., Fisher, J., & Thomson, R. (2017). The ‘Dark Side’ of Technology in Medical Education. Retrieved from https://www.mededpublish.org/manuscripts/978 on 09 February 2020.
  • Didehbani, N., Allen, T., Kandalaft, M., Krawczyk, D., & Chapman, S. (2016). Virtual reality social cognition training for children with high functioning autism. Computers in Human Behavior, 62, 703-711.
  • Doiron-Cadrin, P., Kairy, D., Vendittoli, P.-A., Lowry, V., Desmeules, F., & Poitras, S. (2016). Effects of a tele-prehabilitation program or an in-person prehabilitation program in surgical candidates awaiting total hip or knee arthroplasty: Protocol of a pilot single blind randomized controlled trial. Contemporary Clinical Trials Communications, 4, 192-198.
  • Driver, S., Juengst, S., McShan, E. E., Bennett, M., Bell, K., & Dubiel, R. (2019). A randomized controlled trial protocol for people with traumatic brain injury enrolled in a healthy lifestyle program (GLB-TBI). Contemporary Clinical Trials Communications, 14, 1-9.
  • Dugan, S., Lange-Maia, B., Karavolos, K., Kazlauskaite, R., & Powell, L. (2016). Design of a lifestyle intervention to slow menopause-related progression of intra-abdominal adipose tissue in women: The Women in the Southside Health and Fitness (WISHFIT) study. Contemporary Clinical Trials Communications, 4, 74-83.
  • Dupuis, M., Khadeer, S., & Huang, J. (2017). “I Got the Job!”: An exploratory study examining the psychological factors related to status updates on facebook. Computers in Human Behavior, 73, 132-140.
  • Fleming, P., Watson, S., Patouris, E., Bartholomew, K., & Zizzo, D. (2017). Why do people file share unlawfully? A systematic review, meta-analysis and panel study. Computers in Human Behavior, 72, 535-548.
  • Foroudi, P., Gupta, S., Sivarajah, U., & Broderick, A. (2018). Investigating the effects of smart technology on customer dynamics and customer experience. Computers in Human Behavior, 80, 271-282.
  • Franklin, A., Gantela, S., Shifarraw, S., Johnson, T., & Okafor, N. (2017). Dashboard visualizations: Supporting real-time throughput decision-making. Journal of Biomedical Informatics, 71, 211-221.
  • Espinoza, J., Chen, A., Orozco, J., Deavenport-Saman, A., & Yin, L. (2017). Effect of personal activity trackers on weight loss in families enrolled in a comprehensive behavioral family-lifestyle intervention program in the federally qualified health center setting: A randomized controlled trial. Contemporary Clinical Trials Communications, 7, 86-94.
  • Garcia, D., Valdez, L., Bell, M., Humphrey, K., & Hooker, S. (2018). A gender- and culturally-sensitive weight loss intervention for Hispanic males: The ANIMO randomized controlled trial pilot study protocol and recruitment methods. Contemporary Clinical Trials Communications, 9, 151-163.
  • Georgsson, M., & Staggers, N. (2016). An evaluation of patients’ experienced usability of a diabetes mHealth system using a multi-method approach. Journal of Biomedical Informatics, 59, 115-129.
  • Grossman, B., Conner, S., Mosnaim, G., Albers, J., & Kenyon, R. (2017). Application of human augmentics: A persuasive asthma inhaler. Journal of Biomedical Informatics, 67, 51-58.
  • Horsky, J., & Ramelson, H. Z. (2016, December). Development of a cognitive framework of patient record summary review in the formative phase of user-centered design. Journal of Biomedical Informatics, 64, 147-157.
  • Huh, J., Kwon, B. C., Kim, S.-H., Lee, S., Chooe, J., Kima, J. (2016). Personas in online health communities. Journal of Biomedical Informatics, 63, 212-225.
  • Krawcyk, R., Vinther, A., Petersen, N., Faber, J., & Kruuse, C. (2019). Home-based aerobic exercise in patients with lacunar stroke: Design of the HITPALS randomized controlled trial. Contemporary Clinical Trials Communications, 14, 1-9.
  • Kurowski, B., Stancin, T., Taylor, H., McNally, K., Kirkwoodf, M., & Cassedya, A. (2018). Comparative effectiveness of family problem-solving therapy (F-PST) for adolescents after traumatic brain injury: Protocol for a randomized, multicenter, clinical trial . Contemporary Clinical Trials Communications, 10, 111-120.
  • Lamy, J. B., Berthelot, H., Favre, M., Ugon, A., Duclosa , C., & Venot, A. (2017). Using visual analytics for presenting comparative information on new drugs. Journal of Biomedical Informatics, 71, 58-69.
  • Lee, J. Y., Donkers, J., Jarodzka, H., & Merriënboer, J. J. (2019). How prior knowledge affects problem-solving performance in a medical simulation game: Using game-logs and eye-tracking. Computers in Human Behavior, 99, 268-277.
  • Lopes, D. S., Parreira, P. D., Paulo, S. F., Nunes, V., Regode, P. A., & Nevesf, M. C. (2017). On the utility of 3D hand cursors to explore medical volume datasets with a touchless interface. Journal of Biomedical Informatics, 72, 140-149.
  • Norman, E., & Furnes, B. (2016). The relationship between metacognitive experiences and learning: Is there a difference between digital and non-digital study media? Computers in Human Behavior, 54, 301-309 .
  • Nuño, V. L., Wertheim, B., Murphy, B., Wahl, R., & Roe, D. (2019). Testing the efficacy of the Nurtured Heart Approach® to reduce ADHD symptoms in children by training parents: Protocol for a randomized controlled trial. Contemporary Clinical Trials Communications, 13, 1-6.
  • Robman, L., Guymer, R., Woods, R., & Ward, S. (2017). Age-related macular degeneration in a randomized controlled trial of low-dose aspirin: Rationale and study design of the ASPREE-AMD study. Contemporary Clinical Trials Communications, 6, 105-114.
  • Kim, S., Werner, P., Richardson, A., & Anstey, K. J. (2019). Dementia StigmaReduction (DESeRvE): Study protocol for a randomized controlled trial of an online intervention program to reduce dementia-related public stigmalo. Contemporary Clinical Trials Communications, 14, 1-11.
  • Martínez-Pernía, D., Núñez-Huasaf, J., Blanco, Á., Ruiz-Tagle, A., Velásquezg, J., & Gomeza, M. (2017). Using game authoring platforms to develop screen-based simulated functional assessments in persons with executive dysfunction following traumatic brain injury. Journal of Biomedical Informatics, 74, 71-84.
  • Meitz, T., Ort, A., Kalch, A., Zipfel, S., & Zurstiege, G. (2016). Source does matter: Contextual effects on online media-embedded health campaigns against childhood obesity. Computers in Human Behavior, 60, 565-574.
  • Noel, K., Yagudayev, S., Messin, C., Schoenfeld, E., & GeraldKelly, W. (2018). Tele-transitions of care. A 12-month, parallel-group, superiority randomizedcontrolled trial protocol, evaluating the use of telehealth versus standard transitions of care in the prevention of avoidable hospital readmissions. Contemporary Clinical Trials Communications, 12, 9-16.
  • Payne, K., Keith, M. J., Schuetzler, R. M., & Giboney, J. S. (2017). Examining the learning effects of live streaming video game instruction over Twitch . Computers in Human Behavior, 77, 95-109.
  • Perry, B., Geoghegan, C., Lin, L., McGuire, F., Nidoe , V., & Grabert, B. (2019). Patient preferences for using mobile technologies in clinical trials. Contemporary Clinical Trials Communications, 15, 1-9.
  • Reinares-Lara, E., Olarte-Pascual, C., & Pelegrín-Borondo, J. (2018). Do you want to be a cyborg? The moderating effect of ethics on neural implant acceptance. Computers in Human Behavior, 85, 43-53.
  • Rios, A., & Kavuluru, R. (2017). Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores. Journal of Biomedical Informatics, 75, 85-93.
  • Roth, C., Payne, P., Weier, R., Shoben, A., Foraker, R., & Fletcherc, E. (2016). The geographic distribution of cardiovascular health in the stroke prevention in healthcare delivery environments (SPHERE) study. . Journal of Biomedical Informatics, 60, 95- 103.
  • Ruiz, L. M., Bønes, E., Asunción, E. d., Gabarron, E., Gabarronab, E., & Aviles-Solis, J. C. (2017). Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers. Journal of Biomedical Informatics, 74, 104-122.
  • Schnall, R., Rojas, M., Bakken, S., Brown, W., & Travers, J. (2016). A user-centered model for designing consumer mobile health (mHealth) applications (apps). Journal of Biomedical Informatics, 60, 243-251.
  • Streimann, K., Trummal, A., Klandorf, K., Akkermann, K., & Selart, A. (2017). Effectiveness of a universal classroom-based preventive intervention (PAX GBG): A research protocol for a matched-pair cluster-randomized controlled trial. Contemporary Clinical Trials Communications, 8, 75-84.
  • Taylor, J., Keating, S., Leveritt, M., Holland, D., Gomersall, S., & Coombes, J. (2017). Study protocol for the FITR Heart Study: Feasibility, safety, adherence, andefficacy of high intensity interval training in a hospital-initiated rehabilitation program for coronary heart disease. Contemporary Clinical Trials Communications, 8, 181-191.
  • Tinati, R., Roesch, M. L., Simperl, E., & Hall, W. (2017). An investigation of player motivations in Eyewire, a gamified citizen science project. Computers in Human Behavior, 73, 527-540.
  • Tuarob, S., Tucker, C., Kumara, S., Giles, C., & Ram, N. (2017). How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information. Journal of Biomedical Informatics, 68, 1-19.
  • Vuijk, R., F. A. de Nijs, P., Deen, M., Vitalee, S., Simons-Spronga , M., & Hengeveld, M. (2018). Temperament and character in men with autism spectrum disorder: A reanalysis of scores on the Temperament and Character Inventory by individual case matching. Contemporary Clinical Trials Communications, 12, 55-59.
  • Warriner, A., Foster, P., Mudano, A., Wright, N., & Saag, K. (2016). A pragmaticrandomized trial comparing tablet computer informed consent to traditional paper-based methods for an osteoporosis study. Contemporary Clinical Trials Communications, 3, 32-38.
  • Yen, N., Hung, J., Chen, C.-C., & Jin, Q. (2019). Design of a computational model for social learning support and analystics . Computers in Human Behavior, 92, 547-561.
  • Zhang, Y.-f., Gou, L., Zhou, T.-s., Lin, D.-n., & Lia, J.-s. (2017). An ontology-based approach to patient follow-up assessment for continuous and personalized chronic disease management. Journal of Biomedical Informatics, 72, 45-59.
Yıl 2021, Cilt: 4 Sayı: 1, 23 - 28, 31.01.2021

Öz

Kaynakça

  • Alexandru, A. G., Radu, I. M., & Bizon, M. L. (2018). Big data in healthcare-opportunities and challenges. Informatica Economica, 22(2), 43-54.
  • Pavlović, A., Kalezić, N., Trpković, S., Videnović, N., & Šulović, L. (2018). The application of simulation in medical education-our experience “from improvisation to simulation”. Srpski Arhiv Za Celokupno Lekarstvo, 146(5-6), 338-344.
  • Amaro-Gahete, F., De-la-O, A., Jurado-Fasoli, L., Espuch-Oliver, A., & Gutierrez, A. (2018). Exercise training as S-Klotho protein stimulator in sedentary healthy adults: Rationale, design, and methodology. Contemporary Clinical Trials Communications, 11, 10-19.
  • Barr, M. (2018). Student attitudes to games-based skills development: Learning from video games in higher education. Computers in Human Behavior, 80, 283-294.
  • Bartholomeusz, M. D., Bolton, P., Callister, R., Skinner, V., & Hodgson, D. (2017). Design, rationale and feasibility of a multidimensional experimental protocol to study early life stress. Contemporary Clinical Trials Communications, 7, 33-43.
  • Batterham, P., Calear, A., Gulliver, A., & Farrer, L. (2019). Efficacy of a transdiagnostic, video-based online program for reducing depression, anxiety, and suicidal ideation in adults: Protocol for a randomised controlled trial. Contemporary Clinical Trials Communications, 14, 1-5.
  • Bhattacharya, A., Kolovson, S., Sung, Y.-C., Eacker, M., & Kientz, J. (2018). Understanding pivotal experiences in behavior change for the design of technologies for personal wellbeing. Journal of Biomedical Informatics, 79, 129-142.
  • Bote-Curiel L., Muñoz-Romero S., Gerrero-Curieses A. & Rojo-Álvarez J.L., (2019). Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners, Applied Science 2019, 9, 23-31.
  • Brunyé, T., Mercan, E., Weaver, D., & Elmore, J. (2017). Accuracy is in the eyes of the pathologist: The visual interpretive process and diagnostic accuracy with digital whole slide images. Journal of Biomedical Informatics, 66, 171-179.
  • Chung, J., Ozkaynak, M., & Demiris, G. (2017). Examining daily activity routines of older adults using workflow. Journal of Biomedical Informatics, 71, 82-90.
  • Chen, A., Wu, S., Tomasino, K., Lattie, E., & Mohr, D. (2019). A multi-faceted approach to characterizing user behavior and experience in a digital mental health intervention. Journal of Biomedical Informatics, 94, 1-13.
  • Christensen, B. J., Schmidt, J., Nielsen, M., Tækker, L., & Sjödin, A. (2018). Patient profiling for success after weight loss surgery (GO Bypass study): An interdisciplinary study protocol. Contemporary Clinical Trials Communications, 10, 121-130.
  • Collins, S., Ramirez, S., Tsivkin, K., Mar, P., & Rocha, R. (2017). Next generation terminology infrastructure to support interprofessional care planning. Journal of Biomedical Informatics, 75, 22-34.
  • Delgaty, L., Fisher, J., & Thomson, R. (2017). The ‘Dark Side’ of Technology in Medical Education. Retrieved from https://www.mededpublish.org/manuscripts/978 on 09 February 2020.
  • Didehbani, N., Allen, T., Kandalaft, M., Krawczyk, D., & Chapman, S. (2016). Virtual reality social cognition training for children with high functioning autism. Computers in Human Behavior, 62, 703-711.
  • Doiron-Cadrin, P., Kairy, D., Vendittoli, P.-A., Lowry, V., Desmeules, F., & Poitras, S. (2016). Effects of a tele-prehabilitation program or an in-person prehabilitation program in surgical candidates awaiting total hip or knee arthroplasty: Protocol of a pilot single blind randomized controlled trial. Contemporary Clinical Trials Communications, 4, 192-198.
  • Driver, S., Juengst, S., McShan, E. E., Bennett, M., Bell, K., & Dubiel, R. (2019). A randomized controlled trial protocol for people with traumatic brain injury enrolled in a healthy lifestyle program (GLB-TBI). Contemporary Clinical Trials Communications, 14, 1-9.
  • Dugan, S., Lange-Maia, B., Karavolos, K., Kazlauskaite, R., & Powell, L. (2016). Design of a lifestyle intervention to slow menopause-related progression of intra-abdominal adipose tissue in women: The Women in the Southside Health and Fitness (WISHFIT) study. Contemporary Clinical Trials Communications, 4, 74-83.
  • Dupuis, M., Khadeer, S., & Huang, J. (2017). “I Got the Job!”: An exploratory study examining the psychological factors related to status updates on facebook. Computers in Human Behavior, 73, 132-140.
  • Fleming, P., Watson, S., Patouris, E., Bartholomew, K., & Zizzo, D. (2017). Why do people file share unlawfully? A systematic review, meta-analysis and panel study. Computers in Human Behavior, 72, 535-548.
  • Foroudi, P., Gupta, S., Sivarajah, U., & Broderick, A. (2018). Investigating the effects of smart technology on customer dynamics and customer experience. Computers in Human Behavior, 80, 271-282.
  • Franklin, A., Gantela, S., Shifarraw, S., Johnson, T., & Okafor, N. (2017). Dashboard visualizations: Supporting real-time throughput decision-making. Journal of Biomedical Informatics, 71, 211-221.
  • Espinoza, J., Chen, A., Orozco, J., Deavenport-Saman, A., & Yin, L. (2017). Effect of personal activity trackers on weight loss in families enrolled in a comprehensive behavioral family-lifestyle intervention program in the federally qualified health center setting: A randomized controlled trial. Contemporary Clinical Trials Communications, 7, 86-94.
  • Garcia, D., Valdez, L., Bell, M., Humphrey, K., & Hooker, S. (2018). A gender- and culturally-sensitive weight loss intervention for Hispanic males: The ANIMO randomized controlled trial pilot study protocol and recruitment methods. Contemporary Clinical Trials Communications, 9, 151-163.
  • Georgsson, M., & Staggers, N. (2016). An evaluation of patients’ experienced usability of a diabetes mHealth system using a multi-method approach. Journal of Biomedical Informatics, 59, 115-129.
  • Grossman, B., Conner, S., Mosnaim, G., Albers, J., & Kenyon, R. (2017). Application of human augmentics: A persuasive asthma inhaler. Journal of Biomedical Informatics, 67, 51-58.
  • Horsky, J., & Ramelson, H. Z. (2016, December). Development of a cognitive framework of patient record summary review in the formative phase of user-centered design. Journal of Biomedical Informatics, 64, 147-157.
  • Huh, J., Kwon, B. C., Kim, S.-H., Lee, S., Chooe, J., Kima, J. (2016). Personas in online health communities. Journal of Biomedical Informatics, 63, 212-225.
  • Krawcyk, R., Vinther, A., Petersen, N., Faber, J., & Kruuse, C. (2019). Home-based aerobic exercise in patients with lacunar stroke: Design of the HITPALS randomized controlled trial. Contemporary Clinical Trials Communications, 14, 1-9.
  • Kurowski, B., Stancin, T., Taylor, H., McNally, K., Kirkwoodf, M., & Cassedya, A. (2018). Comparative effectiveness of family problem-solving therapy (F-PST) for adolescents after traumatic brain injury: Protocol for a randomized, multicenter, clinical trial . Contemporary Clinical Trials Communications, 10, 111-120.
  • Lamy, J. B., Berthelot, H., Favre, M., Ugon, A., Duclosa , C., & Venot, A. (2017). Using visual analytics for presenting comparative information on new drugs. Journal of Biomedical Informatics, 71, 58-69.
  • Lee, J. Y., Donkers, J., Jarodzka, H., & Merriënboer, J. J. (2019). How prior knowledge affects problem-solving performance in a medical simulation game: Using game-logs and eye-tracking. Computers in Human Behavior, 99, 268-277.
  • Lopes, D. S., Parreira, P. D., Paulo, S. F., Nunes, V., Regode, P. A., & Nevesf, M. C. (2017). On the utility of 3D hand cursors to explore medical volume datasets with a touchless interface. Journal of Biomedical Informatics, 72, 140-149.
  • Norman, E., & Furnes, B. (2016). The relationship between metacognitive experiences and learning: Is there a difference between digital and non-digital study media? Computers in Human Behavior, 54, 301-309 .
  • Nuño, V. L., Wertheim, B., Murphy, B., Wahl, R., & Roe, D. (2019). Testing the efficacy of the Nurtured Heart Approach® to reduce ADHD symptoms in children by training parents: Protocol for a randomized controlled trial. Contemporary Clinical Trials Communications, 13, 1-6.
  • Robman, L., Guymer, R., Woods, R., & Ward, S. (2017). Age-related macular degeneration in a randomized controlled trial of low-dose aspirin: Rationale and study design of the ASPREE-AMD study. Contemporary Clinical Trials Communications, 6, 105-114.
  • Kim, S., Werner, P., Richardson, A., & Anstey, K. J. (2019). Dementia StigmaReduction (DESeRvE): Study protocol for a randomized controlled trial of an online intervention program to reduce dementia-related public stigmalo. Contemporary Clinical Trials Communications, 14, 1-11.
  • Martínez-Pernía, D., Núñez-Huasaf, J., Blanco, Á., Ruiz-Tagle, A., Velásquezg, J., & Gomeza, M. (2017). Using game authoring platforms to develop screen-based simulated functional assessments in persons with executive dysfunction following traumatic brain injury. Journal of Biomedical Informatics, 74, 71-84.
  • Meitz, T., Ort, A., Kalch, A., Zipfel, S., & Zurstiege, G. (2016). Source does matter: Contextual effects on online media-embedded health campaigns against childhood obesity. Computers in Human Behavior, 60, 565-574.
  • Noel, K., Yagudayev, S., Messin, C., Schoenfeld, E., & GeraldKelly, W. (2018). Tele-transitions of care. A 12-month, parallel-group, superiority randomizedcontrolled trial protocol, evaluating the use of telehealth versus standard transitions of care in the prevention of avoidable hospital readmissions. Contemporary Clinical Trials Communications, 12, 9-16.
  • Payne, K., Keith, M. J., Schuetzler, R. M., & Giboney, J. S. (2017). Examining the learning effects of live streaming video game instruction over Twitch . Computers in Human Behavior, 77, 95-109.
  • Perry, B., Geoghegan, C., Lin, L., McGuire, F., Nidoe , V., & Grabert, B. (2019). Patient preferences for using mobile technologies in clinical trials. Contemporary Clinical Trials Communications, 15, 1-9.
  • Reinares-Lara, E., Olarte-Pascual, C., & Pelegrín-Borondo, J. (2018). Do you want to be a cyborg? The moderating effect of ethics on neural implant acceptance. Computers in Human Behavior, 85, 43-53.
  • Rios, A., & Kavuluru, R. (2017). Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores. Journal of Biomedical Informatics, 75, 85-93.
  • Roth, C., Payne, P., Weier, R., Shoben, A., Foraker, R., & Fletcherc, E. (2016). The geographic distribution of cardiovascular health in the stroke prevention in healthcare delivery environments (SPHERE) study. . Journal of Biomedical Informatics, 60, 95- 103.
  • Ruiz, L. M., Bønes, E., Asunción, E. d., Gabarron, E., Gabarronab, E., & Aviles-Solis, J. C. (2017). Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers. Journal of Biomedical Informatics, 74, 104-122.
  • Schnall, R., Rojas, M., Bakken, S., Brown, W., & Travers, J. (2016). A user-centered model for designing consumer mobile health (mHealth) applications (apps). Journal of Biomedical Informatics, 60, 243-251.
  • Streimann, K., Trummal, A., Klandorf, K., Akkermann, K., & Selart, A. (2017). Effectiveness of a universal classroom-based preventive intervention (PAX GBG): A research protocol for a matched-pair cluster-randomized controlled trial. Contemporary Clinical Trials Communications, 8, 75-84.
  • Taylor, J., Keating, S., Leveritt, M., Holland, D., Gomersall, S., & Coombes, J. (2017). Study protocol for the FITR Heart Study: Feasibility, safety, adherence, andefficacy of high intensity interval training in a hospital-initiated rehabilitation program for coronary heart disease. Contemporary Clinical Trials Communications, 8, 181-191.
  • Tinati, R., Roesch, M. L., Simperl, E., & Hall, W. (2017). An investigation of player motivations in Eyewire, a gamified citizen science project. Computers in Human Behavior, 73, 527-540.
  • Tuarob, S., Tucker, C., Kumara, S., Giles, C., & Ram, N. (2017). How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information. Journal of Biomedical Informatics, 68, 1-19.
  • Vuijk, R., F. A. de Nijs, P., Deen, M., Vitalee, S., Simons-Spronga , M., & Hengeveld, M. (2018). Temperament and character in men with autism spectrum disorder: A reanalysis of scores on the Temperament and Character Inventory by individual case matching. Contemporary Clinical Trials Communications, 12, 55-59.
  • Warriner, A., Foster, P., Mudano, A., Wright, N., & Saag, K. (2016). A pragmaticrandomized trial comparing tablet computer informed consent to traditional paper-based methods for an osteoporosis study. Contemporary Clinical Trials Communications, 3, 32-38.
  • Yen, N., Hung, J., Chen, C.-C., & Jin, Q. (2019). Design of a computational model for social learning support and analystics . Computers in Human Behavior, 92, 547-561.
  • Zhang, Y.-f., Gou, L., Zhou, T.-s., Lin, D.-n., & Lia, J.-s. (2017). An ontology-based approach to patient follow-up assessment for continuous and personalized chronic disease management. Journal of Biomedical Informatics, 72, 45-59.
Toplam 55 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Eğitim Üzerine Çalışmalar
Bölüm Articles
Yazarlar

Mustafa M. A. Mohamed Bu kişi benim

Hatem A. M. Darabee Bu kişi benim

Emrah Soykan Bu kişi benim

Yayımlanma Tarihi 31 Ocak 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 4 Sayı: 1

Kaynak Göster

APA Mohamed, M. M. A., Darabee, H. A. M., & Soykan, E. (2021). HUMAN-COMPUTER INTERACTION IN MEDICAL EDUCATION. Near East University Online Journal of Education, 4(1), 23-28.