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Usability to Improve Healthcare
Published in Marcelo M. Soares, Francisco Rebelo, Tareq Z. Ahram, Handbook of Usability and User Experience, 2022
Christopher P. Nemeth, Jeremy C. Pamplin, Sena Veazey, Christopher Colombo
In accordance with an approved IRB protocol, we recruited and enrolled participants at San Antonio Military Medical Center (US Army Institute Surgical Research and Brooke Army Medical Center) (BAMC) and Madigan Army Medical Center (MAMC). We recruited active duty military clinicians with no formal surgical or anesthesia training such as family medicine, emergency medicine and internal medicine physicians, physician assistants or medics representing the types of clinicians likely to encounter PFC during military deployments. Our goal was to recruit at least 20 subjects per site (40 in all). Assuming a 20% dropout rate, 24 subjects would comprise the sample at each site (48 in all). We also used a survey to collect demographic information through a survey on the day before the simulation experiment. After providing consent, each subject was assigned a unique identifier and was assigned to a testing calendar.
Individual Variability in Clinical Decision Making and Diagnosis
Published in Pat Croskerry, Karen S. Cosby, Mark L. Graber, Hardeep Singh, Diagnosis, 2017
A gender difference in misdiagnosis is also suggested by data showing that male physicians are twice as likely to get sued during the course of their careers than female physicians, but factors other than medical error may be involved [31,32]. Studies in the United States [33,34] and Australia [35], for example, found differences in practice patterns, with female physicians seeing differing types of problems compared with males. In a U.S. study of patients visiting an emergency department, female patients were more satisfied with the care received by female physicians, rating them as more caring and willing to spend more time with them [36]. It has been observed, too, that communication is better between female physicians and their patients, and perhaps they are less likely to be sued for that reason alone. However, given the observation by Schiff et al. [37] implicating failure to order laboratory tests as a major contributor to diagnostic error, coupled with female physicians being more likely to order diagnostic tests [26], it appears that physician gender could be an important factor in diagnostic error. There is direct evidence of this. Patients in family medicine and internal medicine were less likely to get screening pap tests, breast exams, and mammograms from male than from female physicians [22,38] and therefore, would be less likely to be diagnosed with underlying disease. Further, given the tendency of males to be generally less risk-averse than females, it might be expected that male physicians would be inclined to take more risk in uncertain situations, but no studies have reported on this.
The Impact of Technology on Mental Health
Published in Bahman Zohuri, Patrick J. McDaniel, Electrical Brain Stimulation for the Treatment of Neurological Disorders, 2019
Bahman Zohuri, Patrick J. McDaniel
Physicians are using social networking sites with increasing frequency. Recent reviews of social media use by physicians indicate widespread use in medical education23 and for personal and professional purposes.24–26 A review of the characteristics of physicians using social media indicated a high use by those under 35 years old practicing internal medicine, pediatrics, obstetrics and gynecology, and family medicine.27
Inpatient discharge planning under uncertainty
Published in IISE Transactions, 2022
Maryam Khatami, Michelle Alvarado, Nan Kong, Pratik J. Parikh, Mark A. Lawley
This study focuses on a general internal medicine unit, which cares for patients with a wide range of acute non-cancer-related medical problems such as diabetes, heart disease, and other metabolic disorders. In this unit, mid-level physicians round every morning and write patient discharge plans a day ahead based on their assessments and discussions with patient physicians. The unit receives bed requests from the ED, direct admissions, and transfers from other units, with the majority of requests being from the ED. In our visits to the hospital, our partners in the office of performance improvement helped us get familiar with the inpatient discharge process and confirmed the patient flow and IU dynamics depicted in Figure 1 as sufficient for their unit.