scholarly journals Impact of inpatient caseload, emergency department duties, and online learning resource on General Medicine In-Training Examination scores in Japan

2015 ◽  
pp. 355 ◽  
Author(s):  
Kensuke Kinoshita ◽  
Yusuke Tsugawa ◽  
Taro Shimizu ◽  
Yusuke Tanoue ◽  
Ryota Konishi ◽  
...  
Keyword(s):  
Emergency Department ◽  
Online Learning ◽  
General Medicine ◽  
Learning Resource

The Effectiveness of Usage of Online Multiple Choice Questions on Student Performance in Introductory Accounting

2017 ◽  
Vol 32 (4) ◽  
pp. 1-17 ◽  
Author(s):  
Dianne Massoudi ◽  
SzeKee Koh ◽  
Phillip J. Hancock ◽  
Lucia Fung
Keyword(s):  
Online Learning ◽  
Student Performance ◽  
International Student ◽  
Multiple Choice ◽  
Financial Accounting ◽  
Accounting Students ◽  
Multiple Choice Questions ◽  
Learning Resource ◽  
Examination Performance ◽  
Introductory Accounting

ABSTRACT In this paper we investigate the effectiveness of an online learning resource for introductory financial accounting students using a suite of online multiple choice questions (MCQ) for summative and formative purposes. We found that the availability and use of an online resource resulted in improved examination performance for those students who actively used the online learning resource. Further, we found a positive relationship between formative MCQ and unit content related to challenging financial accounting concepts. However, better examination performance was also linked to other factors, such as prior academic performance, tutorial participation, and demographics, including gender and attending university as an international student. JEL Classifications: I20; M41.

Online Learning Resource Based on One ID Website for All Access (OIAA) as a Student Learning Assistance System

2020 ◽  
Author(s):  
Rizqi Fajar Pradipta ◽  
Frimha Purnamawati ◽  
Mohd Hanafi Mohd Yasin ◽  
Dimas Arif Dewantoro ◽  
Muchamad Irvan ◽  
...  
Keyword(s):  
Online Learning ◽  
Student Learning ◽  
Assistance System ◽  
Learning Resource ◽  
Learning Assistance

Care Coordination

2018 ◽  
pp. 163-167
Keyword(s):  
Emergency Department ◽  
Care Coordination ◽  
Medical Center ◽  
Academic Medical Center ◽  
General Medicine ◽  
Ethnically Diverse ◽  
Medicine Service ◽  
Academic Medical ◽  
Diverse Patient Population ◽  
Hospital Visits

This case focuses on improving care coordination for patients who have been discharged from the hospital by asking the question: Is it possible to reduce the rate of repeat emergency department and hospital visits after discharge by improving care coordination? The study group included adults admitted to the general medicine service of an urban, academic medical center that serves an “ethnically diverse patient population.” Patients were assigned to nurse discharge advocates who provided the patients with delineated services and assistance during the hospitalization The Project Reengineered Discharge (RED) program substantially reduced repeat emergency department and hospital visits by improving care coordination at the time of hospital discharge.

scholarly journals Quick diagnostic unit integrated in an emergency department setting reduces medical admissions – an observational study

2013 ◽  
Vol 3 (3) ◽  
pp. 17 ◽  
Author(s):  
Dan Brun Petersen ◽  
Thomas Andersen Schmidt
Keyword(s):  
Internal Medicine ◽  
Emergency Department ◽  
General Medicine ◽  
University Hospital ◽  
First Year ◽  
Special Focus ◽  
Diagnostic Study ◽  
Diagnostic Unit ◽  
Number Of Patients ◽  
The Impact

Background: Hospitals in countries with public health systems have recently adopted organizational changes to improve efficiency and resource allocation, and reducing inappropriate hospitalizations has been established as an important goal, as well as avoiding or buffering overcrowding in Emergency Departments (EDs). Aims: Our goal was to describe the impact of a Quick Diagnostic Unit established on January 1, 2012, integrated in an ED setting in a Danish public university hospital following its function for the first year. Design: Observational, descriptive and comparative study. Methods: Our sample comprised the total number of patients being admitted and discharged from the Department of Internal Medicine in 2011 and 2012, with special focus on the General Medicine Ward. Results: Compared with 2011 the establishment of the Quick Diagnostic Unit integrated in the Emergency Department resulted in the admittance and discharge of fewer patients (40%; p < .0001) to the hospital’s General Medicine Ward and 11.6% (p < .0001) fewer patients in the whole Department of Internal Medicine. Conclusions: A Quick Diagnostic Unit integrated in an ED setting represents a useful and fast track model for the diagnostic study and treatment of patients with simple internal medicine ailments, and also serves as a buffer for overcrowding of the ED.

scholarly journals Predicting 30-Day Readmissions: Performance of the LACE Index Compared with a Regression Model among General Medicine Patients in Singapore

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Lian Leng Low ◽  
Kheng Hock Lee ◽  
Marcus Eng Hock Ong ◽  
Sijia Wang ◽  
Shu Yun Tan ◽  
...  
Keyword(s):  
Emergency Department ◽  
Regression Model ◽  
White Cell Count ◽  
Model Performance ◽  
General Medicine ◽  
Emergency Department Visits ◽  
Index Admission ◽  
Machine Learning Techniques ◽  
Discriminative Ability ◽  
Readmission Risk

The LACE index (length of stay, acuity of admission, Charlson comorbidity index, CCI, and number of emergency department visits in preceding 6 months) derived in Canada is simple and may have clinical utility in Singapore to predict readmission risk. We compared the performance of the LACE index with a derived model in identifying 30-day readmissions from a population of general medicine patients in Singapore. Additional variables include patient demographics, comorbidities, clinical and laboratory variables during the index admission, and prior healthcare utilization in the preceding year. 5,862 patients were analysed and 572 patients (9.8%) were readmitted in the 30 days following discharge. Age, CCI, count of surgical procedures during index admission, white cell count, serum albumin, and number of emergency department visits in previous 6 months were significantly associated with 30-day readmission risk. The final logistic regression model had fair discriminative abilityc-statistic of 0.650 while the LACE index achievedc-statistic of 0.628 in predicting 30-day readmissions. Our derived model has the advantage of being available early in the admission to identify patients at high risk of readmission for interventions. Additional factors predicting readmission risk and machine learning techniques should be considered to improve model performance.

scholarly journals The use of Filmora and Youtube in creating learning video contents

2021 ◽  
Vol 6 (8) ◽  
pp. 1427-1430
Author(s):  
Ny. Ayni Suwarni Herry ◽  
Perani Rosyani ◽  
Rinna Rachmatika ◽  
Kecitaan Harefa ◽  
Joko Priambodo
Keyword(s):  
Elementary School ◽  
Online Learning ◽  
Community Service ◽  
Learning Process ◽  
Teaching And Learning ◽  
The State ◽  
Learning Activities ◽  
Learning Resource ◽  
Digital Contents ◽  
Quality Learning

The advent of the COVID-19 pandemic witnessed a significant consumption of digital contents. Teaching and learning activities, including at the State Elementary School, Pamulang, Barat, shifted to online domains. Whatsapp was consequently the initial means of engaging the students, but eventually appeared relatively monotonous and boring. This community service intends to provide a quality learning resource on the creation of video contents, using Filmora and Youtube applications. Ultimately, the overall goal is to produce highly creative and innovative teachers. These materials were delivered using sound or captivating animations. Consequently, teachers were sufficiently equipped to generate interesting videos that potentially increase students’ interest and interaction during the online learning process.

scholarly journals Student’s Responses on Learning in the Early COVID-19 Pandemic

2020 ◽  
Vol 5 (1) ◽  
pp. 141-153 ◽  
Author(s):  
Wildana Wargadinata ◽  
Iffat Maimunah ◽  
Eva Dewi ◽  
Zainur Rofiq
Keyword(s):  
Qualitative Research ◽  
Online Learning ◽  
Learning Process ◽  
Large Data ◽  
Learning Resource ◽  
Microsoft Word ◽  
Online Lectures ◽  
Descriptive Qualitative

The coronavirus disease (COVID-19) pandemic forced many universities to apply online learning. The purpose of this study was to break down the online learning process in the early pandemic as well as effective and optimal online learning. The design of this research is descriptive qualitative research. The data were collected through observation, questionnaires, interviews, and documentation. Interestingly, this study found online learning using the WhatsApp Group to be the most effective in the early COVID-19 pandemic. WhatsApp is easy, simple, and does not require a large data quota package. Through WhatsApp accounts, learning took place optimally because students and lecturers could communicate and share PowerPoint files, Microsoft Word files, JPGs, Voice Notes, Videos, and other learning resource links. The study recommends that other researchers uncover the solution to obstacles experienced by students in online learning and the development of other media to implement effective online lectures.

scholarly journals The Impact of an Automated Patient Digital Engagement Platform on Revisit Reduction

Iproceedings ◽  
10.2196/15091 ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. e15091
Author(s):  
Adam Beck ◽  
Caroline Robinson
Keyword(s):  
Emergency Department ◽  
Patient Engagement ◽  
Information Exchange ◽  
Negative Impact ◽  
Statistical Significance ◽  
General Medicine ◽  
Inpatient Setting ◽  
Hospital Inpatient ◽  
Digital Platform ◽  
The Impact

Background Revisits within 30 days to an emergency department (ED), observation care unit, or inpatient setting following patient discharge continues to be a challenge, especially in urban settings. In addition to the consequences for the patient, these revisits have a negative impact on a health system’s finances in a value based care or global budget environment. Objective The objective was to evaluate the effectiveness of a customized automated digital patient engagement application (GetWell Loop) to prevent 30-day revisits after home discharge from an ED or hospital inpatient setting. Methods The LifeBridge Health Innovation Team collaborated with the GetWell Network to customize their patient engagement platform (GetWell Loop) with automated check-in questions and resources. An application link was emailed to adult patients discharged home from the ED. A retrospective study of ED visits for patients treated for general medicine and cardiology conditions (accounting for 24% of our adult ED discharges) between August 1, 2018, and December 31, 2018, was conducted using CRISP, Maryland’s state-designated health information exchange. We used this database to identify the index visits that experienced an emergency department visit, inpatient admission, or observation stay at any Maryland facility within 30 days of discharge. We also used data within GetWell Loop to track patient activation and engagement. The primary endpoint was a comparison of ED patients that experienced a 30-day revisit and who did or did not activate their GetWell Loop account. Secondary end points included overall activation rate and the rate of engagement as measured by the number of logins, alerts, and comments generated by patients through the platform. Statistical significance was calculated using the Fisher’s exact test with a P<.05. Results ED discharges who were treated for general medicine conditions (n=787) and activated their GetWell Loop account experienced a 30-day revisit rate of 18.9% compared to 25.2% who did not activate their account (P=.06). For patients treated for cardiology conditions (n=722), 10.5% of patients who activated their GetWell account experienced a 30-day revisit compared to 17.4% not activating their account (P=.02). During the course of this study, 26% of patients receiving an invite to use the digital platform activated their account (n=1652) logged in a total of 4006 times, generated 734 alerts, and submitted 297 open ended comments/questions. Conclusions These results indicate the potential value of digital health platforms to improve 30-day revisit rates. The strongest impact was observed amongst cardiology patients where the revisit rate is 39.8% lower for patients using GetWell Loop compared to general medicine patients where the relative difference is 25.2%. The results also indicate patients are willing to utilize a digital platform postdischarge to proactively engage in their own care. We attempted to control for potential selection bias that may impact this analysis given patient adoption and use of a digital platform by looking for differences in the subpopulations who did and did not activate the platform. LifeBridge Health is proving healthcare systems can leverage automated mobile platforms to successfully impact clinical outcomes at scale without compromising customer service and patient experience.

Sign in / Sign up

Export Citation Format

Share Document