scholarly journals The Association Between Non-Suicidal Self-Injury of Adolescents and the COVID-19: The Lesson We Should Notice

2021 ◽  
Author(s):  
Na Du ◽  
Yingjie Ouyang ◽  
Yu Xiao ◽  
Yunge Li
Keyword(s):  
Mobile Phone ◽  
Medical Record ◽  
Influencing Factors ◽  
Binary Logistic Regression ◽  
Electronic Medical Record System ◽  
Binary Logistic Regression Model ◽  
Record System ◽  
Mobile Phone Use ◽  
Self Injury ◽  
Medical Record System

Abstract Background: Non-suicidal self-injury (NSSI) in psychiatric hospitalized adolescents keeps growing after the outbreak of COVID-19. This study aims to explore the relationship between the pandemic and the NSSI among adolescents, focusing on the underlying reasons. Methods: Through the retrospective analysis of medical record data retrieved from the electronic medical record system from January 2016 to March 2021, 609 medical records of adolescents were obtained. The main potential influencing factors were determined by the method of inductive content analysis. Results: Among the 609 adolescents, 420 subjects had NSSI, while 189 did not. We found the percentage of NSSI adolescents in 2016 was only 29.2% (7/24), reaching 34.5% (29/55) in 2017, 45.7% (42/92) in 2018, 61.3% (76/124) in 2019, 92.5% (196/212) in 2020, and 95.9% (70/73) in 2021. In the Binary logistic regression model, gender (OR=0.075), age (OR=1.215), single parent (OR=7.751) , experienced trauma (OR=2.214), social isolation (OR=8.313), body bully (OR=3.116), mobile phone overused (OR=4.199), committed suicide (OR=9.276), and before/after pandemic (OR=5.421) were significantly associated with NSSI. When comparing the differences in influencing factors between the pre-pandemic and the post-pandemic group, the results showed that experiencing trauma and suffering body bullying played less role in the appearance of NSSI, while the family constitution, relationship with parents, mobile phone use, and stressful learning have become the important factors. Conclusions: The pandemic has increased the risk of NSSI among adolescents and changed the influencing factors of this behavior. Tailored intervention gearing toward the changed risk factors should be formulated.

scholarly journals Forecast of Outpatient Visits to a Tertiary Eyecare Network in India Using the EyeSmart Electronic Medical Record System

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 749
Author(s):  
Gumpili Sai Prashanthi ◽  
Nareen Molugu ◽  
Priyanka Kammari ◽  
Ranganath Vadapalli ◽  
Anthony Vipin Das
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Time Series Data ◽  
Resource Planning ◽  
Healthcare Services ◽  
Electronic Medical Record System ◽  
Series Data ◽  
Record System ◽  
Outpatient Visits ◽  
Medical Record System

India is home to 1.3 billion people. The geography and the magnitude of the population present unique challenges in the delivery of healthcare services. The implementation of electronic health records and tools for conducting predictive modeling enables opportunities to explore time series data like patient inflow to the hospital. This study aims to analyze expected outpatient visits to the tertiary eyecare network in India using datasets from a domestically developed electronic medical record system (eyeSmart™) implemented across a large multitier ophthalmology network in India. Demographic information of 3,384,157 patient visits was obtained from eyeSmart EMR from August 2010 to December 2017 across the L.V. Prasad Eye Institute network. Age, gender, date of visit and time status of the patients were selected for analysis. The datapoints for each parameter from the patient visits were modeled using the seasonal autoregressive integrated moving average (SARIMA) modeling. SARIMA (0,0,1)(0,1,7)7 provided the best fit for predicting total outpatient visits. This study describes the prediction method of forecasting outpatient visits to a large eyecare network in India. The results of our model hold the potential to be used to support the decisions of resource planning in the delivery of eyecare services to patients.

scholarly journals A simple electronic medical record system designed for research

JAMIA Open ◽  
2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Andrew J King ◽  
Luca Calzoni ◽  
Mohammadamin Tajgardoon ◽  
Gregory F Cooper ◽  
Gilles Clermont ◽  
...  
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
User Interfaces ◽  
Information Seeking ◽  
Vital Signs ◽  
Electronic Medical Record System ◽  
Record System ◽  
Laboratory Test Results ◽  
Medical Record System ◽  
Open Source Software Package

Abstract With the extensive deployment of electronic medical record (EMR) systems, EMR usability remains a significant source of frustration to clinicians. There is a significant research need for software that emulates EMR systems and enables investigators to conduct laboratory-based human–computer interaction studies. We developed an open-source software package that implements the display functions of an EMR system. The user interface emphasizes the temporal display of vital signs, medication administrations, and laboratory test results. It is well suited to support research about clinician information-seeking behaviors and adaptive user interfaces in terms of measures that include task accuracy, time to completion, and cognitive load. The Simple EMR System is freely available to the research community and is on GitHub.

Osteoporosis Screening as a Model for Effective  Preventive Healthcare in Concierge Medicine

2019 ◽  
Author(s):  
Caleb Wheeless ◽  
Scott W Yates ◽  
M Keith Schrader
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Systematic Approach ◽  
The United States ◽  
Electronic Medical Record System ◽  
Published Data ◽  
Preventive Healthcare ◽  
Record System ◽  
Osteoporosis Screening ◽  
Medical Record System

Abstract Background : Annually, 2 million osteoporosis-related fractures result in 400,000 deaths and cost $12-17 billion in the United States. We examined the rate of bone density screening in our concierge medicine practice and compared this with previously published data for other patient populations. Methods : Using our electronic medical record system, we conducted a retrospective review of all patients followed in our group practice to determine the proportion of eligible patients who have been screened for osteoporosis. We present these results along with data for comparator populations. Results : In our population of 112 women age 50 or greater, 106 (94.6%) had been screened and of 63 women age 65 or greater, 61 (96.8%) had been screened. Our screening rate in Medicare age women (96.8%) compares favorably with previously published screening rates for Medicare HMO, Medicare PPO and MDVIP patients (74.2, 78.5 and 90.3% respectively). Conclusions : These data support our notion that limiting patient population size and effectively using a comprehensive electronic medical record in a systematic approach to prevention results in higher rates of osteoporosis screening.

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