Prospective Validation of Central Line–Days Derived From an Electronic Medical Record System

2015 ◽  
Vol 36 (9) ◽  
pp. 1098-1099
Author(s):  
John M. Boyce ◽  
George Paci ◽  
Carl Feidner ◽  
Lori Hubbard ◽  
Laurie Devin ◽  
...  
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Electronic Medical Record System ◽  
Central Line ◽  
Record System ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Daily Report ◽  
Medical Record System ◽  
A Prospective Study

Validation of the number of central line–days by hospitals is required by the National Healthcare Safety Network. A prospective study that compared a daily report of such days generated by an electronic medical record with observational audits by nurses revealed that the report was 100% sensitive and 99.9% specific.Infect. Control Hosp. Epidemiol. 2015;36(9):1098–1099

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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