DDDouglas R. Danforth

Douglas R. Danforth

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

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Previous Organizations / Institutes

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Douglas R. Danforth has a total of 152 co-authors. Here are the top co-authors by number of shared publications:

  • Gary D. Hodgen

    The Jones Institute for Reproductive Medicine, Department of Obstetrics and Gynecology Eastern Virginia Medical School, Norfolk, Virginia 23510

    19 shared publications
  • Keith Gordon

    Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk 23507

    10 shared publications
  • Robert F. Williams

    The Jones Institute for Reproductive Medicine, Department of Obstetrics and Gynecology, Eastern Virginia Medical School, 601 Colley Avenue, Norfolk, VA 23507 USA

    8 shared publications
  • David B. Seifer

    Yale School of Medicine, New Haven, USA

    6 shared publications
  • Chad I. Friedman

    Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio 43210

    5 shared publications
  • Chad I Friedman

    4 shared publications

Latest Publications

  • Open Access

    Virtual Reality Simulation for Assessment of Hemorrhage Control and SALT Triage Performance: A Comparison of Prehospital to In-Hospital Emergency Responders

    by Nicholas Kman, David Way, Ashish R. Panchal, Jeremy Patterson, Jillian McGrath, Douglas Danforth, Ashutosh Mani, Dave Babbitt, Jacob Hyde, Brian Pippin, et al.

    Introduction: Targeted identification, effective triage, and rapid hemorrhage control are essential for optimal outcomes of mass-casualty incidents (MCIs). An important aspect of Emergency Medical Service (EMS) care is field triage, but this skill is difficult to teach, assess, and research. Study Objective: This study assessed triage efficacy and hemorrhage control of emergency responders from different professions who used the Sort, Assess, Life-Saving Treatment (SALT) triage algorithm in a virtual reality (VR) simulation of a terrorist subway bombing. Methods: After a brief just-in-time training session on the SALT triage algorithm, participants applied this learning in First VR esponder, a high-fidelity VR simulator (Tactical Triage Technologies, LLC; Powell, Ohio USA). Participants encountered eleven virtual patients in a virtual scene of a subway station that had experienced an explosion. Patients represented individuals with injuries of varying severity. Metrics assessed included triage accuracy and treatment efficiency, including time to control life-threatening hemorrhage. Independent Mann-Whitney analyses were used to compare two professional groups on key performance variables. Results: The study assessed 282 participants from the ranks of EMS clinicians and medical trainees. Most (94%) participants correctly executed both global SALT sort commands. Participants triaged and treated the entire scene in a mean time of 7.8 decimal minutes, (95%CI, 7.6-8.1; SD = 1.9 decimal minutes) with a patient triage accuracy rate of 75.8% (95%CI, 74.0-77.6; SD = 15.0%). Approximately three-quarters (77%) of participants successfully controlled all life-threatening hemorrhage, within a mean time of 5.3 decimal minutes (95%CI, 5.1-5.5; SD = 1.7 decimal minutes). Mean time to hemorrhage control per patient was 0.349 decimal minutes (SD = 0.349 decimal minutes). Overall, EMS clinicians were more accurate with triage (P ≤ .001) and were faster at triage, total hemorrhage control (P < .01), and hemorrhage control per patient (P < .004) than medical trainees. Conclusions: Through assessments using VR simulation, it was observed that more experienced individuals from the paramedic (PM) workforce out-performed less experienced medical trainees. The study also observed that the medical trainees performed acceptably, even though their only formal training in SALT triage was a 30-minute, just-in-time lecture. Both of these findings are important for establishing evidence that VR can serve as a valid platform for assessing the complex skills of triage and treatment of an MCI, including the assessment of rapid hemorrhage control.


  • Open Access

    Learner evaluation of an immersive virtual reality mass casualty incident simulator for triage training

    by David P. Way, Ashish R. Panchal, Alan Price, Vita Berezina-Blackburn, Jeremy Patterson, Jillian McGrath, Douglas Danforth, Nicholas E. Kman

    Background: To minimize loss of life, modern mass casualty response requires swift identification, efficient triage categorization, and rapid hemorrhage control. Current training methods remain suboptimal. Our objective was to train first responders to triage a mass casualty incident using Virtual Reality (VR) simulation and obtain their impressions of the training’s quality and effectiveness. We trained subjects in a triage protocol called Sort, Assess, Lifesaving interventions, and Treatment and/or Transport (SALT) Triage then had them respond to a terrorist bombing of a subway station using a fully immersive virtual reality simulation. We gathered learner reactions to their virtual reality experience and post-encounter debriefing with a custom electronic survey. The survey was designed to gather information about participants’ demographics and prior experience, including roles, triage training, and virtual reality experience. We then asked them to evaluate the training and encounter and the system’s potential for training others. Results: We received 375 completed evaluation surveys from subjects who experienced the virtual reality encounter. Subjects were primarily paramedics, but also included medical learners as well as other emergency medical service (EMS) professionals. Most participants (95%) recommended the experience for other first responders and rated the simulation (95%) and virtual patients (91%) as realistic. Ninety-four percent (94%) of participants rated the virtual reality simulator as “excellent” or “good.” We observed some differences between emergency medical service and medical professionals regarding their prior experience with disaster response training and their opinions on how much the experience contributed to their learning. We observed no differences between subjects with extensive virtual reality experience and those without. Conclusions: Our virtual reality simulator is an automated, customizable, fully immersive virtual reality system for training and assessing personnel in the proper response to a mass casualty incident. Participants perceived the simulator as an adequate alternative to traditional triage and treatment training and believed that the simulator was realistic and effective for training. Prior experience with virtual reality was not a prerequisite for the use of this system.


  • Artificial intelligence in virtual standardized patients: Combining natural language understanding and rule based dialogue management to improve conversational fidelity

    by Kellen R. Maicher, Adam Stiff, Marisa Scholl, Michael White, Eric Fosler-Lussier, William Schuler, Prashant Serai, Vishal Sunder, Hannah Forrestal, Lexi Mendella, et al.

    Advances in natural language understanding have facilitated the development of Virtual Standardized Patients (VSPs) that may soon rival human patients in conversational ability. We describe herein ...


  • Using virtual standardized patients to accurately assess information gathering skills in medical students

    by Kellen R. Maicher, Laura Zimmerman, Bruce Wilcox, Beth Liston, Holly Cronau, Allison Macerollo, Lifeng Jin, Evan Jaffe, Michael White, Eric Fosler-Lussier, et al.

    Introduction: Practicing a medical history using standardized patients is an essential component of medical school curricula. Recent advances in technology now allow for newer approaches for practicing and assessing communication skills. We describe herein a virtual standardized patient (VSP) system that allows students to practice their history taking skills and receive immediate feedback. Methods: Our VSPs consist of artificially intelligent, emotionally responsive 3D characters which communicate with students using natural language. The system categorizes the input questions according to specific domains and summarizes the encounter. Automated assessment by the computer was compared to manual assessment by trained raters to assess accuracy of the grading system. Results: Twenty dialogs chosen randomly from 102 total encounters were analyzed by three human and one computer rater. Overall scores calculated by the computer were not different than those provided by the human raters, and overall accuracy of the computer system was 87%, compared with 90% for human raters. Inter-rater reliability was high across 19 of 21 categories. Conclusions: We have developed a virtual standardized patient system that can understand, respond, categorize, and assess student performance in gathering information during a typical medical history, thus enabling students to practice their history-taking skills and receive immediate feedback.


  • Open Access

    Virtual Antenatal Encounter and Standardized Simulation Assessment (VANESSA): Pilot Study

    by Patrick Motz, Megan Gray, Taylor Sawyer, Jennifer Kett, Douglas Danforth, Kellen Maicher, Rachel Umoren

    A multidisciplinary journal on gaming and gamification for health education/promotion, teaching and social change.


  • Open Access

    Virtual Antenatal Encounter and Standardized Simulation Assessment (VANESSA): Pilot Study (Preprint)

    by Patrick Motz, Megan Gray, Taylor Sawyer, Jennifer Kett, Douglas Danforth, Kellen Maicher, Rachel Umoren

    BACKGROUND Prenatal counseling at the limits of newborn viability involves sensitive interactions between neonatal providers and families. Empathetic discussions are currently learned through practice in times of high stress. Decision aids may help improve provider communication but have not been universally adopted. Virtual standardized patients are increasingly recognized as a modality for education, but prenatal counseling simulations have not been described. To be valuable as a tool, a virtual patient would need to accurately portray emotions and elicit a realistic response from the provider. OBJECTIVE To determine if neonatal providers can accurately identify a standardized virtual prenatal patient’s emotional states and examine the frequency of empathic responses to statements made by the patient. METHODS A panel of Neonatologists, Simulation Specialists, and Ethicists developed a dialogue and identified empathic responses. Virtual Antenatal Encounter and Standardized Simulation Assessment (VANESSA), a screen-based simulation of a woman at 23 weeks gestation, was capable of displaying anger, fear, sadness, and happiness through animations. Twenty-four neonatal providers, including a subgroup with an ethics interest, were asked to identify VANESSA’s emotions 28 times, respond to statements, and answer open-ended questions. The emotions were displayed in different formats: without dialogue, with text dialogue, and with audio dialogue. Participants completed a post-encounter survey describing demographics and experience. Data were reported using descriptive statistics. Qualitative data from open ended questions (eg, “What would you do?”) were examined using thematic analysis. RESULTS Half of our participants had over 10 years of clinical experience. Most participants reported using medical research (18/23, 78%) and mortality calculators (17/23, 74%). Only the ethics-interested subgroup (10/23, 43%) listed counseling literature (7/10, 70%). Of 672 attempts, participants accurately identified VANESSA’s emotions 77.8% (523/672) of the time, and most (14/23, 61%) reported that they were confident in identifying these emotions. The ethics interest group was more likely to choose empathic responses (P=.002). Participants rated VANESSA as easy to use (22/23, 96%) and reported that she had realistic dialogue (15/23, 65%). CONCLUSIONS This pilot study shows that a prenatal counseling simulation is feasible and can yield useful data on prenatal counseling communication. Our participants showed a high rate of emotion recognition and empathy in their responses.

  • Developing a Conversational Virtual Standardized Patient to Enable Students to Practice History-Taking Skills

    by Kellen Ms/Mfa Maicher, Douglas Danforth, Alan Mfa Price, Laura Zimmerman, Bruce B.A. Wilcox, Beth Liston, Holly Cronau, Laurie Do Belknap, Cynthia Ledford, David Way, et al.

    Introduction: Although traditional virtual patient simulations are designed to teach and assess clinical reasoning skills, few employ conversational dialogue with the patients. The virtual standardized patients (VSPs) described herein represent standardized patients that students interview using natural language. Students take histories and develop differential diagnoses of the VSPs as much as they would with standardized or actual patients. The student-VSP interactions are recorded, creating a comprehensive record of questions and the order in which they were asked, which can be analyzed to assess information-gathering skills. Students document the encounter in an electronic medical record created for the VSPs. Methods: The VSP was developed by integrating a dialogue management system (ChatScript) with emotionally responsive 3D characters created in a high-fidelity game engine (Unity). The system was tested with medical students at the Ohio State University College of Medicine. Students are able to take a history of a VSP, develop a differential diagnosis, and document the encounter in the electronic medical record. Results: Accuracy of the VSP responses ranged from 79% to 86%, depending on the complexity of the case, type of history obtained, and skill of the student. Students were able to accurately develop an appropriate differential diagnosis on the basis of the information provided by the patient during the encounter. Conclusions: The VSP enables students to practice their history-taking skills before encounters with standardized or actual patients. Future developments will focus on creating an assessment module that will automatically analyze VSP sessions and provide immediate student feedback.


  • Open Access

    Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System

    by Evan Jaffe, Michael White, William Schuler, Eric Fosler-Lussier, Alex Rosenfeld, Douglas Danforth


    • 15 April 2014
      • Vol. 59, 103-9

    Effect of gonadotropin-releasing hormone antagonist on primordial follicle survival in the primate ovary.

    by Jill Attaman, Laura K Arbogast, Chad I Friedman, Douglas R Danforth

    To examine the effects of gonadotropin-releasing hormone (GnRH) antagonist on primordial follicle reserve in the primate ovary. A prospective basic research study in which 10 juvenile cynomolgus monkeys (Macaca fascicularis) had 1 ovary surgically removed. Six animals were then treated with the GnRH antagonist antide (1.0 mg/kg/day) for 14 days, and 4 animals were treated with vehicle. After treatment the contralateral ovary was removed and both ovaries were prepared for assessment of primordial, primary, and secondary follicle numbers. Antide treatment resulted in a modest (13%) but significant decrease in primordial follicle number in juvenile macaques (p = 0.048, n = 6). Three animals demonstrated a marked reduction in primordial follicles (19%, 25%, 36%) and 3 animals had no (< 5%) change in primordial follicles after antide treatment. Control animals demonstrated no change in primordial follicle number following vehicle treatment. Antide had no effect on primary, secondary, or early antral follicle numbers and did not affect circulating estradiol concentrations. In contrast to mice, in which GnRH antagonist treatment markedly reduces primordial follicle reserve, the effect of antide in nonhuman primates was less dramatic and somewhat variable. These data suggest there may be a subset of animals susceptible to the adverse effects of GnRH antagonist on primordial follicle survival.


  • Open Access

    Using Second Life Virtual Simulation Environment for Mock Oral Emergency Medicine Examination

    by Jillian Schwaab, Nicholas Kman, Rollin Nagel, David Bahner, Daniel R. Martin, Sorabh Khandelwal, John Vozenilek, Douglas R. Danforth, Richard Nelson

    ACADEMIC EMERGENCY MEDICINE 2011; 18:559–562 © 2011 by the Society for Academic Emergency Medicine Objectives:  Oral examination is a method used to evaluate emergency medicine (EM) residents and is a requirement for board certification of emergency physicians. Second Life (SL) is a virtual three‐dimensional (3‐D) immersive learning environment that has been used for medical education. In this study we explore the use of SL virtual simulation technology to administer mock oral examinations to EM residents.Methods:  This was a prospective observational study of EM residents who had previously completed mock oral examinations, participating in a similar mock oral examination case scenario conducted via SL. EM residents in this training program completed mock oral examinations in a traditional format, conducted face to face with a faculty examiner. All current residents were invited to participate in a similar case scenario conducted via SL for this study. The examinee managed the case while acting as the physician avatar and communicated via headset and microphone from a remote computer with a faculty examiner who acted as the patient avatar. Participants were surveyed regarding their experience with the traditional and virtual formats using a Likert scale.Results:  Twenty‐seven EM residents participated in the virtual oral examination. None of the examinees had used SL previously. SL proved easy for examinees to log into (92.6%) and navigate (96.3%). All felt comfortable communicating with the examiner via remote computer. Most examinees thought the SL encounter was realistic (92.6%), and many found it more realistic than the traditional format (70.3%). All examinees felt that the virtual examination was fair, objective, and conducted efficiently. A majority preferred to take oral examinations via SL over the traditional format and expressed interest in using SL for other educational experiences (66.6 and 92.6%, respectively).Conclusions:  Application of SL virtual simulation technology is a potential alternative to traditional mock oral examinations for EM residents.