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Ambulatory Systems
Published in Salvatore Volpe, Health Informatics, 2022
Curtis L. Cole, Adam D. Cheriff, J. Travis Gossey, Sameer Malhotra, Daniel M. Stein
Some form of a patient tracking system is often implemented in conjunction with PMSs to track all aspects of clinical workflow and patient throughput. Some systems can parse a variety of wait times such as time to room, time in room, time with registered nurse, and time with doctor. Some systems use radio frequency identification (RFID) or other technologies to automate patient tracking, though that is hardly mainstream. When used well, these tools provide practice administrators and clinicians the necessary data to optimize patient flow, maximize resource utilization, and improve patient satisfaction.
Impact of Social Media on Health:
Published in Connie White Delaney, Charlotte A. Weaver, Joyce Sensmeier, Lisiane Pruinelli, Patrick Weber, Nursing and Informatics for the 21st Century – Embracing a Digital World, 3rd Edition, Book 4, 2022
Because social media can reach a massive population in an instant, it can also serve to monitor disease outbreaks and respond to community health crises. Social media can be used to provide timely information to an unspecified majority as well as to a targeted segment of the population. An example is the tracking of COVID-19 in South Korea. The tracking starts with an extensive, technology-based, contact tracing that identifies the recent movements of the confirmed patients. The data are anonymized, limited in duration and scope, and carefully disclosed to the public, which others can use to determine whether they may have had contact with any confirmed case. To explain, based on information on the location and time of the person who had a positive result, messages were provided to residents in neighboring areas to disclose the route and to be inspected if the route overlaps. The identity of the person was kept private, minimizing the invasion of privacy. This tracking information is easily accessible through websites, smartphones or radio. In addition, it could track people who might have stayed in places where the COVID-19 patient stopped over to get KakaoTalk messages or to be tested for COVID-19.
Genetic testing and risk perception in the context of personalized medicine
Published in Ulrik Kihlbom, Mats G. Hansson, Silke Schicktanz, Ethical, Social and Psychological Impacts of Genomic Risk Communication, 2020
Sabine Wöhlke, Marie Falahee, Katharina Beier
People are increasingly able to access digitized data about their health, ranging from information provided by self-tracking and fitness apps to electronic patient records (Wöhlke et al. 2020; Rexhepi et al. 2018). Genetic information has become widely available, presenting people in both health care and commercial contexts with a variety of possibilities regarding the application and utility of sharing such information. Studies show that public interest in genetic information is high (Townsend et al. 2012). Genetic tests can confirm or rule out a suspected genetic condition, or determine a person’s chance of developing or passing on a genetic disorder, and in some cases, they provide relevant information that can be used to family members’ benefit (Burke 2014; Mendes et al. 2015).
Factors influencing adoption of antidote tracking system among healthcare providers in Malaysian hospital setting
Published in International Journal of Healthcare Management, 2023
Kor Zi Han, Balamurugan Tangiisuran, Yulita Hanum P. Iskandar
The finding from this study indicates that the drivers of adoption include factors from the technological dimension (perceived benefits, compatibility, complexity, security concern), organizational dimension (top management support, IS infrastructure, perceived cost), and environment dimension (vendor support). Surprisingly, the impact of hospital size and government regulation and support are not supported. Hence, it can be concluded that this study provides guidance and information on the significant determinations that are vital to influencing the decision of antidote tracking system in Malaysia’s hospitals. As a result, with the rapid emergence of tracking technologies, there is a need for Malaysia’s healthcare industry to keep up with it, and this study can serve as a guide for the development of a tracking system in the hospital context.
Length of Stay, Cost, and Outcomes related to Traumatic Subdural Hematoma in inpatient setting in the United States
Published in Brain Injury, 2022
Eshani J Choksi, Kumar Mukherjee, Khalid M Kamal, Steven Yocom, Richard Salazar
One limitation with using the NIS database is that the hospital discharge record is a unit of analysis and not the individual patient. This means that a single patient may be logged as multiple entries if hospitalized more than once during the study period. It is possible that a patient was admitted to one hospital for TSDH and had one outcome, and then was later admitted to another hospital for another TSDH and had a different outcome. The unavailability of inpatient data at a unique patient level limits the tracking of the individual patient during the study period. A second limitation is that the database further restricts the ability to provide causal explanation for various findings because of the observational nature of the data. A third limitation is that the NIS database is susceptible to coding errors, which may lead to potential misclassifications and inaccurate diagnosis. As there is a lag time for collection of data from the hospitals, the data used in this study is also not very current. Finally, the NIS database is unable to provide information about additional factors (e.g., GCS, pupil reactivity, hypotension, etc.), which could act as potential confounding variables in the analysis of inpatient death and complications. Availability of appropriate clinical variables would help to reduce residual confounding in the analysis.
Implementing a Patient Tracking System in a Large EMS System
Published in Prehospital Emergency Care, 2022
Andra M. Farcas, Hashim Q. Zaidi, Nicholas P. Wleklinski, Katie L. Tataris
Large scale incidents and disasters are common occurrences that affect morbidity and mortality worldwide. The United Nations estimates 1.3 million lives were lost and 4.4 billion lives were impacted by natural disasters alone in the past 20 years (1). Patient tracking is a vital component of managing a range of sizes and types of events including local planned events, unplanned incidents, and disasters. Well-designed patient tracking systems manage the patient location and triage condition during different points of the event. The ideal patient tracking system is easy to use, reliable, and integrated into the event operations. This information can be used by EMS systems to provide information to incident command in the prehospital and hospital setting to execute an effective event or disaster response (2).