scholarly journals Examine the impact of the implementation of an electronic medical record system on operating theatre efficiency at a teaching hospital in Australia

2019 ◽  
Vol 6 (5) ◽  
pp. 1453 ◽  
Author(s):  
Tzu-Yi (Arron) Chuang ◽  
Nathan Yii ◽  
Masimba Nyandowe ◽  
Ramesh Iyer
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Delay Time ◽  
Electronic Medical Record System ◽  
Operating Theatre ◽  
Average Delay ◽  
Record System ◽  
Average Delay Time ◽  
Medical Record System ◽  
The Impact

Background: The utilization of electronic medical record (EMR) system has become the mainstay of healthcare system in developed countries. In the last five years, Queensland Health has gradually implemented EMR system for hospitals in Queensland, Australia. As far as we are aware, no study has been conducted to assess the impact of the EMR implementation on operating theatre efficiency in Australia.Methods: A retrospective review of general surgery operating room on time start data was performed for a period of 2 months prior and 2 months following implementation of the EHR. A delay was defined as the time between the scheduled start time and “first in” times. Outcomes measured included the total number of sessions run, number of sessions starting late, average delay time and case cancellations.Results: During the EMR training period, the number of sessions which had delayed increased from 13.2％ to 31.0%. Following implementation of the EMR, delays were present for 88% of sessions for the first month with an average delay time of 21.8 minutes. The second month showed an overall improvement with 69% of sessions delayed and a reduced average delay time of 10.4mins.Conclusions: The implementation of a new electronic medical record system is associated with delays in theatre start times especially during the training period and first month of use. Evidence of recovery of service efficiency however is seen by the second month post-implementation with further expected improvement if trends continue.

How an Electronic Medical Record System Facilitates and Demonstrates Effective Psychosocial Screening in Pediatric Primary Care

2019 ◽  
Vol 59 (2) ◽  
pp. 154-162
Author(s):  
Alexy Arauz-Boudreau ◽  
Alexa Riobueno-Naylor ◽  
Haregnesh Haile ◽  
Juliana M. Holcomb ◽  
Cara M. Lucke ◽  
...  
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Electronic System ◽  
Electronic Medical Record System ◽  
Administrative Claims ◽  
Record System ◽  
Psychosocial Screening ◽  
Medical Record System ◽  
The Impact

Using questionnaires, administrative claims, and chart review data, the current study explored the impact of using an electronic medical record system to administer, score, and store the Pediatric Symptom Checklist (PSC-17) during annual pediatric well-child visits. Within a sample of 1773 Medicaid-insured outpatients, the electronic system demonstrated that 90.5% of cases completed a PSC-17 screen electronically, billing codes indicating a screen was administered agreed with the existence of a questionnaire in the chart in 98.8% of cases, the classification of risk based on PSC-17 scores agreed with the classification of risk based on the Current Procedural Terminology code modifiers in 72.9% of cases, and 90.0% of clinicians’ progress notes mentioned PSC-17 score in treatment planning. Using an electronic approach to psychosocial screening in pediatrics facilitated the use of screening information gathered during the clinical visit and allowed for enhanced tracking of outcomes and quality monitoring.

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.

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