scholarly journals Dementia Patient Segmentation Using EMR Data Visualization: A Design Study

2019 ◽  
Vol 16 (18) ◽  
pp. 3438 ◽  
Author(s):  
Hyoji Ha ◽  
Jihye Lee ◽  
Hyunwoo Han ◽  
Sungyun Bae ◽  
Sangjoon Son ◽  
...  
Keyword(s):  
Medical Record ◽  
Visual Analysis ◽  
Qualitative Evaluation ◽  
Record Management ◽  
Radial Coordinate ◽  
Dementia Patient ◽  
Biomedical Data ◽  
Record System ◽  
Efficient Treatment ◽  
Domain Experts

(1) Background: The Electronic Medical Record system, which is a digital medical record management architecture, is critical for reliable medical research. It facilitates the investigation of disease patterns and efficient treatment via collaboration with data scientists. (2) Methods: In this study, we present multidimensional visual tools for the analysis of multidimensional datasets via a combination of 3-dimensional radial coordinate visualization (3D RadVis) and many-objective optimization (e.g., Parallel Coordinates). Also, we propose a user-driven research design to facilitate visualization. We followed a design process to (1) understand the demands of domain experts, (2) define the problems based on relevant works, (3) design visualization, (4) implement visualization, and (5) enable qualitative evaluation by domain experts. (3) Results: This study provides clinical insight into dementia based on EMR data via visual analysis. Results of a case study based on questionnaires surveying daily living activities indicated that daily behaviors influenced the progression of dementia. (4) Conclusions: This study provides a visual analytical tool to support cluster segmentation. Using this tool, we segmented dementia patients into clusters and interpreted the behavioral patterns of each group. This study contributes to biomedical data interpretation based on a visual approach.

New Medical Record System in Queen Elizabeth Hospital, Hong Kong

1994 ◽  
Vol 24 (4) ◽  
pp. 131-134 ◽  
Author(s):  
Karen W. H. Szeto
Keyword(s):  
Medical Record ◽  
Medical Records ◽  
Hospital Staff ◽  
Queen Elizabeth Hospital ◽  
Record Management ◽  
Record System ◽  
Medical Record System ◽  
Medical Records System ◽  
Complete Access ◽  
New System

During the 1980's, the medical record problems had been identified and it was not until 1991 that Queen Elizabeth Hospital was chosen to be the pilot hospital for the development of a new medical record management system for the Hospital Authority hospitals. The new medical records system was implemented in Queen Elizabeth Hospital in December, 1993. Six month after implementation, a pre-implementation and post-implementation review of the medical record services were conducted to compare the results of the new and old system. The results showed that there were significant improvements in the record retrieval and record integrity in the new system. New medical record services such as the delivery of readmission records to the ward, filing of medical records forms in pre-defined order and filing of loose sheets in the relevant hospital notes are able to facilitate the efficient, effective and complete access to patient information. The support and cooperation of the hospital staff are crucial to the success of the new system. Continuous review and improvement of the new system is essential in order to obtain the best results

The First Decade of Effort: Progress Toward a Hospital Information System at the UCLA Hospital, Los Angeles, California

1970 ◽  
Vol 09 (02) ◽  
pp. 75-80
Author(s):  
B. G. Lamson ◽  
W. S. Russell ◽  
J. Fullmore ◽  
W. E. Nix
Keyword(s):  
Los Angeles ◽  
Medical Record ◽  
Communication Systems ◽  
The United States ◽  
Computer Applications ◽  
Record Management ◽  
Successful Implementation ◽  
Accounting System ◽  
Accrual Accounting ◽  
Medical Specialties

Total information and communication systems within hospitals have been designed, but successful complete implementation, to date, has not been achieved. Limited applications with both patient medical data, notably in the clinical laboratories, and in the hospital accounting offices have been numerous. Although total programs are not yet a reality, it is apparent that the computer will serve ultimately many communication requirements, both medical and financial, within the hospital.Sound hospital management requires that costs of all component operations be known in order that value judgments concerning worth and efficiency may be made. Accrual accounting systems which match revenue and expense over the same time period are a prerequisite. Cash and modified cash hospital accounting cannot provide current reliable data for sound decision making.Costs of hospital operations cannot be evaluated unless related to the characteristics of the patient service load. Average per diem costs mean little except when large similar populations of patients are being compared. A modern hospital accrual accounting system should be able to provide information concerning the costs of caring for specific diseases in patients with known age and sex and disease severity characteristics. Without information of this type, it will not be possible to objectively evaluate alternative systems of financing and organizing patient care.Medical record management offers the promise of prospective use of patient disease information in the planning and scheduling of facilities. The prose content of medical record summaries, such as diagnostic statements in tissue pathology, radiology, and admission and discharge diagnoses, may be susceptible to non-coded, full prose input into computer controlled diagnostic files. Thesauri in the several medical specialties will be necessary for this achievement.There is little immediate prospect for complete hospital communication systems that can be made available as a package to any hospital without substantial local alteration. Pilot projects in teaching centers should be viewed for the time being as opportunities to define objectives, evaluate feasibility, and determine degree of risk and expense.A brief survey of applications in the United States which have been successfully implemented or which appear suitable for successful implementation is recorded.Eleven general principles which have been associated with successful implementation of computer applications within the UCLA Hospital are enumerated.

scholarly journals NE-Motion: Visual Analysis of Stroke Patients Using Motion Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4482
Author(s):  
Rodrigo Colnago Contreras ◽  
Avinash Parnandi ◽  
Bruno Gomes Coelho ◽  
Claudio Silva ◽  
Heidi Schambra ◽  
...  
Keyword(s):  
Visual Analysis ◽  
Treatment Strategies ◽  
Motion Capture Data ◽  
Motion Sensors ◽  
Healthy Individuals ◽  
Stroke Patients ◽  
Close Collaboration ◽  
Domain Experts ◽  
Bedside Test ◽  
Detailed Assessment

A large number of stroke survivors suffer from a significant decrease in upper extremity (UE) function, requiring rehabilitation therapy to boost recovery of UE motion. Assessing the efficacy of treatment strategies is a challenging problem in this context, and is typically accomplished by observing the performance of patients during their execution of daily activities. A more detailed assessment of UE impairment can be undertaken with a clinical bedside test, the UE Fugl–Meyer Assessment, but it fails to examine compensatory movements of functioning body segments that are used to bypass impairment. In this work, we use a graph learning method to build a visualization tool tailored to support the analysis of stroke patients. Called NE-Motion, or Network Environment for Motion Capture Data Analysis, the proposed analytic tool handles a set of time series captured by motion sensors worn by patients so as to enable visual analytic resources to identify abnormalities in movement patterns. Developed in close collaboration with domain experts, NE-Motion is capable of uncovering important phenomena, such as compensation while revealing differences between stroke patients and healthy individuals. The effectiveness of NE-Motion is shown in two case studies designed to analyze particular patients and to compare groups of subjects.

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.

TV-MV Analytics: A visual analytics framework to explore time-varying multivariate data

2019 ◽  
Vol 19 (1) ◽  
pp. 3-23
Author(s):  
Aurea Soriano-Vargas ◽  
Bernd Hamann ◽  
Maria Cristina F de Oliveira
Keyword(s):  
Visual Analytics ◽  
Visual Analysis ◽  
Multivariate Data ◽  
Visual Exploration ◽  
Data Sets ◽  
Time Varying ◽  
Domain Experts ◽  
Data Mining Algorithms ◽  
Temporal Relationships ◽  
Visualization Techniques

We present an integrated interactive framework for the visual analysis of time-varying multivariate data sets. As part of our research, we performed in-depth studies concerning the applicability of visualization techniques to obtain valuable insights. We consolidated the considered analysis and visualization methods in one framework, called TV-MV Analytics. TV-MV Analytics effectively combines visualization and data mining algorithms providing the following capabilities: (1) visual exploration of multivariate data at different temporal scales, and (2) a hierarchical small multiples visualization combined with interactive clustering and multidimensional projection to detect temporal relationships in the data. We demonstrate the value of our framework for specific scenarios, by studying three use cases that were validated and discussed with domain experts.

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