Clinical content tracking system: an efficient request tracking via a graphical user interface

The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.Title from title screen of research.pdf file (viewed on March 28, 2008)Includes bibliographical references.Thesis (M.S.) University of Missouri-Columbia 2007.Dissertations, Academic -- University of Missouri--Columbia -- Computer science.We propose a new system called Clinical Content Tracking System (CCTS) that is a pre-component of a Computerized Physician Order Entry (CPOE) system. CCTS is a tool that helps physicians build clinical contents, in an electronic format, that will be then used in the CPOE system. This system allows users to track their orders, at which stage the order stands, and the current status of the order. This system records every possible action, approval, and rejection made to any order made by the physician. Moreover, a working product can be made of a request in a relatively faster pace. CCTS, the ability of gathering, computing and analyzing data with just a few clicks is very feasible. This will facilitate gathering information and transform data in the system to statistics and hence, maximize efficiency on the managerial level. The main motivation behind this research is to develop an adaptive system that can be configured or customized to meet the needs of various health institutes

Understanding intensive care unit clinical communication using knowledge representation

Title from PDF of title page (University of Missouri--Columbia, viewed on June 4, 2012).The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.Dissertation advisor: Dr. Yang GongVita.Ph. D. University of Missouri-Columbia 2011."December 2011"Medical errors are a major cause of death among Americans, and clinical miscommunication is considered the leading cause of medical errors. The aim of this study was to analyze clinical communication behaviors and interruptions by further understanding Human-Human and Human-computer interactions. A systematic literature search was conducted to identify and extract reported medical error cases caused by clinical communication problem. An ICU observational study was combined with medical error reported cases to better understand communication. Researchers shadowed the ICU team, for 55 hours during patient rounds, to capture 6 main communication factors. Simultaneously, 242 reported communication errors were collected from literature, 279 patient visit was observed at the ICU, and 147 survey responses were gathered. As to the observation data, the most frequent communicator during ICU patient rounds was the Attending Physicians. The ratio of interruptions caused by clinicians to technology-aided devices was 3:1 per patient visit. To further understand clinical communication, primary and secondary data were collected and analyzed and as a result, human-human and human-computer interaction models were developed to build a communication framework that puts into perspective the various factors involved in the communication process among care givers.Includes bibliographical reference

Evaluating the Telehealth Experience of Patients With COVID-19 Symptoms: Recommendations on Best Practices

Positive patient experiences are associated with illness recovery and adherence to medication. To evaluate the virtual care experience for patients with COVID-19 symptoms as their chief complaints. We conducted a cross-sectional study of the first cohort of patients with COVID-19 symptoms in a virtual clinic. The main end points of this study were visit volume, wait times, visit duration, patient diagnosis, prescriptions received, and satisfaction. Of the 1139 total virtual visits, 212 (24.6%) patients had COVID-19 symptoms. The average wait time (SD) for all visits was 75.5 (121.6) minutes. The average visit duration for visits was 10.5 (4.9) minutes. The highest volume of virtual visits was on Saturdays (39), and the lowest volume was on Friday (19). Patients experienced shorter wait times (SD) on the weekdays 67.1 (106.8) minutes compared to 90.3 (142.6) minutes on the weekends. The most common diagnoses for patients with COVID-19 symptoms were upper respiratory infection. Patient wait times for a telehealth visit varied depending on the time and day of appointment. Long wait times were a major drawback in the patient experience. Based on patient-reported experience, we proposed a list of general, provider, and patient telehealth best practices

Analyzing COVID-19 Rates Between Residents and Staff in Correctional Facilities: A Telemedicine Opportunity

To evaluate the relationship of COVID-19 infection rates between residents and staff members in prison facilities. We collected historical data on daily COVID-19 counts for California, Florida, and Wisconsin residents and staff. We analyzed 78,250 COVID-19 cases among residents and 25,392 cases among staff. Strong positive associations were found in the rates of COVID-19 cases between residents and staff, suggesting telemedicine can help reduce outbreaks

Protocol for a scoping review to examine the usability, acceptance and implementation of Artificial Intelligence (AI) in surgical coaching and training.

The current surgical training paradigm in the United States is shifting to a competency-based system. Artificial Intelligence (AI) also can assist in competency-based learning by eliminating biases that may exist in surgical coaching and training. This scoping review aims to examine studies (1) that evaluate implementation and/or bias of AI in surgical videos (2) studies examining user acceptance of this technology for surgical training or coaching, and (3) studies examining the impact on surgical outcomes with the use of AI applied to surgical videos. Our approach will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines and checklist. Results will be charted and synthesized to understand outcomes

Digital Health Experiences of Incarcerated Populations Using Telemedicine in North Carolina Prisons

More than 1.2 million adults are incarcerated in the United States and hence, require health care from prison systems. The current delivery of care to incarcerated individualss is expensive, logistically challenging, risk fragmenting care, and pose security risks. The purpose of this study was to evaluate the association of patient characteristics and experiences with the perceived telemedicine experiences of incarcerated individuals during the pandemic. We conducted a cross-sectional study of incarcerated individuals in 55 North Carolina prison facilities seeking medical specialty care via telemedicine. Data collection took place from June 1, 2020 to November 30, 2020. Of the 482 patient surveys completed, 424 (88%) were male, 257 (53.3%) were over 50 years of age, and 225 (46.7%) were Black or African American and 195 (40.5%) were White, and 289 (60%) no prior telemedicine experience. There were 3 strong predictors of how patients rated their telemedicine experience: personal comfort with telemedicine (P-value < .001), wait time (P-value < .001), and the clarity of the treatment explanation by the provider (P-value < .001). There was a relationship between telemedicine experiences and how patient rated their experience. Also, patients who were less satisfied with using telemedicine indicated their preference for an in-clinic visit for their next appointment

Usability Testing of Two Ambulatory EHR Navigators

Despite widespread electronic health record (EHR) adoption, poor EHR system usability continues to be a significant barrier to effective system use for end users. One key to addressing usability problems is to employ user testing and user-centered design