scholarly journals Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions (Preprint)

2017 ◽  
Author(s):  
Lina Bouayad ◽  
Anna Ialynytchev ◽  
Balaji Padmanabhan
Keyword(s):  
Health Care ◽  
Data Storage ◽  
Time Series Data ◽  
Data Access ◽  
Series Data ◽  
Health Record ◽  
Review Of The Literature ◽  
Data Types ◽  
Future Directions ◽  
Patient Health

BACKGROUND A new generation of user-centric information systems is emerging in health care as patient health record (PHR) systems. These systems create a platform supporting the new vision of health services that empowers patients and enables patient-provider communication, with the goal of improving health outcomes and reducing costs. This evolution has generated new sets of data and capabilities, providing opportunities and challenges at the user, system, and industry levels. OBJECTIVE The objective of our study was to assess PHR data types and functionalities through a review of the literature to inform the health care informatics community, and to provide recommendations for PHR design, research, and practice. METHODS We conducted a review of the literature to assess PHR data types and functionalities. We searched PubMed, Embase, and MEDLINE databases from 1966 to 2015 for studies of PHRs, resulting in 1822 articles, from which we selected a total of 106 articles for a detailed review of PHR data content. RESULTS We present several key findings related to the scope and functionalities in PHR systems. We also present a functional taxonomy and chronological analysis of PHR data types and functionalities, to improve understanding and provide insights for future directions. Functional taxonomy analysis of the extracted data revealed the presence of new PHR data sources such as tracking devices and data types such as time-series data. Chronological data analysis showed an evolution of PHR system functionalities over time, from simple data access to data modification and, more recently, automated assessment, prediction, and recommendation. CONCLUSIONS Efforts are needed to improve (1) PHR data quality through patient-centered user interface design and standardized patient-generated data guidelines, (2) data integrity through consolidation of various types and sources, (3) PHR functionality through application of new data analytics methods, and (4) metrics to evaluate clinical outcomes associated with automated PHR system use, and costs associated with PHR data storage and analytics.

scholarly journals Modelling the dynamics of a public health care system: evidence from time-series data

2011 ◽  
Vol 44 (23) ◽  
pp. 2955-2968 ◽  
Author(s):  
Fabrizio Iacone ◽  
Steve Martin ◽  
Luigi Siciliani ◽  
Peter C. Smith
Keyword(s):  
Public Health ◽  
Health Care ◽  
Time Series ◽  
Health Care System ◽  
Time Series Data ◽  
Public Health Care ◽  
Series Data ◽  
Public Health Care System ◽  
Care System

The Digital Earth Viewer: A new visualization approach for geospatial time series data

2021 ◽  
Author(s):  
Valentin Buck ◽  
Flemming Stäbler ◽  
Everardo Gonzalez ◽  
Jens Greinert
Keyword(s):  
Time Series Data ◽  
Environmental Data ◽  
Series Data ◽  
Multiple Sources ◽  
Data Types ◽  
New Approach ◽  
Digital Earth ◽  
Spatio Temporal ◽  
Diverse Data

<p>The study of the earth’s systems depends on a large amount of observations from homogeneous sources, which are usually scattered around time and space and are tightly intercorrelated to each other. The understanding of said systems depends on the ability to access diverse data types and contextualize them in a global setting suitable for their exploration. While the collection of environmental data has seen an enormous increase over the last couple of decades, the development of software solutions necessary to integrate observations across disciplines seems to be lagging behind. To deal with this issue, we developed the Digital Earth Viewer: a new program to access, combine, and display geospatial data from multiple sources over time.</p><p>Choosing a new approach, the software displays space in true 3D and treats time and time ranges as true dimensions. This allows users to navigate observations across spatio-temporal scales and combine data sources with each other as well as with meta-properties such as quality flags. In this way, the Digital Earth Viewer supports the generation of insight from data and the identification of observational gaps across compartments.</p><p>Developed as a hybrid application, it may be used both in-situ as a local installation to explore and contextualize new data, as well as in a hosted context to present curated data to a wider audience.</p><p>In this work, we present this software to the community, show its strengths and weaknesses, give insight into the development process and talk about extending and adapting the software to custom usecases.</p>

A comparison of benchmark task and insight evaluation methods for information visualization

2011 ◽  
Vol 10 (3) ◽  
pp. 162-181 ◽  
Author(s):  
Chris North ◽  
Purvi Saraiya ◽  
Karen Duca
Keyword(s):  
User Interfaces ◽  
Time Series Data ◽  
Evaluation Methodology ◽  
Series Data ◽  
Task Structure ◽  
Graph Visualization ◽  
Data Types ◽  
Match Task ◽  
Visual Grouping ◽  
Multiple Data

This study compares two different empirical research methods for evaluating information visualizations: the traditional benchmark-task method and the insight method. The methods are compared using criteria such as the conclusions about the visualization designs provided by each method, the time participants spent during the study, the time and effort required to analyse the resulting empirical data, and the effect of individual differences between participants on the results. The study compares three graph visualization alternatives that associate bioinformatics microarray time series data to pathway graph vertices in order to investigate the effect of different visual grouping structures in visualization designs that integrate multiple data types. It is confirmed that visual grouping should match task structure, but interactive grouping proves to be a well-rounded alternative. Overall, the results validate the insight method’s ability to confirm results of the task method, but also show advantages of the insight method to illuminate additional types of tasks. Efficiency and insight frequently correlate, but important distinctions are found. Categories: H.5.2 [Information Interfaces and Presentation]: User Interfaces – evaluation/methodology.

scholarly journals Efficient and secure attribute-based heterogeneous online/offline signcryption for body sensor networks based on blockchain

2019 ◽  
Vol 15 (9) ◽  
pp. 155014771987565 ◽  
Author(s):  
Jawaid Iqbal ◽  
Arif Iqbal Umar ◽  
Noorul Amin ◽  
Abdul Waheed
Keyword(s):  
Sensor Networks ◽  
Universal Access ◽  
Security Analysis ◽  
Data Access ◽  
Base Station ◽  
Wireless Channel ◽  
Patient Data ◽  
Body Sensor Networks ◽  
Health Record ◽  
Patient Health

In body sensor networks, both wearable and implantable biosensors are deployed in a patient body to monitor and collect patient health record information. The health record information is then transmitted toward the medical server via a base station for analysis, diagnosis, and treatment by medical experts. Advancement in wireless technology although improves the patient health–monitoring mechanism, but still there are some limitations regarding security, privacy, and efficiency due to open wireless channel and limited resources of body sensor networks. To overcome these limitations, we have proposed an efficient and secure heterogeneous scheme for body sensor networks, in which biosensor nodes use a certificate-less cryptography environment to resolve the key escrow and certificate-management problems, while MS uses a public key infrastructure environment to enhance the scalability of the networks. Furthermore, we design an online/offline signcryption method to overcome the burden on biosensor nodes. We split the signcryption process into two phases: offline phase and online phase. In the offline phase, the major operations are computed without prior knowledge of patient data. While in online phase, the minor operations are computed when patient data are known. Besides, we have used a new hybrid blockchain technology approach for the secure transmission of patient information along with attributes stored in the medical server toward the cloud that provides ease of patient data access remotely from anywhere by the authorized users and data backup in case of medical server failure. Moreover, hybrid blockchain provides advantages of interoperability, transparency traceability, and universal access. The formal security analysis of the proposed scheme is proved in the standard model, and informal security assures that our scheme provides resistance against possible attacks. As compared to other existing schemes, our proposed scheme consumes fewer resources and efficient in terms of processing cost, transmission overhead, and energy consumption.

The impact of Benin’s first public procurement code and its amendment on healthcare equipment acquisition prices

2018 ◽  
Vol 18 (4) ◽  
pp. 306-322 ◽  
Author(s):  
Pamphile Thierry Houngbo ◽  
Maikel Kishna ◽  
Marjolein Zweekhorst ◽  
Daton Medenou ◽  
Joske G.F. Bunder-Aelen
Keyword(s):  
Health Care ◽  
Time Series Data ◽  
Good Governance ◽  
Public Procurement ◽  
Linear Regression Analysis ◽  
Interrupted Time Series ◽  
Series Data ◽  
Content Type ◽  
The Impact ◽  
Health Care Equipment

PurposeTo satisfy donors and reduce public procurement acquisition prices, Benin has implemented and amended its first public procurement code guided by top-down principles of good governance.Design/methodology/approachThis study aims to measure the impact of the code and its amendment on public procurement acquisition prices of health-care equipment from 1995 to 2010.FindingsA segmented linear regression analysis was performed using interrupted time-series data. The analysis shows that the code and its amendment did not reduce acquisition prices, indicating the limited impact of the code. The authors recommend the implementation of bottom-up processes in establishing the public procurement system, and the development of a reference pricelist of the most widely used health-care equipment, as possible solutions for improving the effectiveness of the code.

scholarly journals Standardizing Time Series Data Access across Heliophysics and Planetary Data Centers using HAPI

2020 ◽  
Author(s):  
Jon Vandegriff ◽  
Robert Weigel ◽  
Jeremy Faden ◽  
D Aaron Roberts ◽  
Todd King ◽  
...  
Keyword(s):  
Time Series ◽  
Data Centers ◽  
Time Series Data ◽  
Data Access ◽  
Series Data

scholarly journals The effect of network convergence on digital culture industry: Model construction of network industrial economics and empirical study on China

INFORMASI ◽  
2022 ◽  
Vol 51 (2) ◽  
pp. 195-226
Author(s):  
Panqiang Niu ◽  
Anang Masduki ◽  
Xigen Li ◽  
Filosa Gita Sukmono
Keyword(s):  
Empirical Study ◽  
Time Series Data ◽  
Culture Industry ◽  
Mediating Effect ◽  
Digital Culture ◽  
Series Data ◽  
Time Range ◽  
Data Types ◽  
Network Convergence ◽  
The Impact

This paper constructs the model of network economics to study the effect of different levels of network convergence on the digital culture industry. Then uses regression models and mediating effect models to test the effect mechanism of network convergence on the digital culture industry of China.  This paper used panel data to conduct an empirical study. The data in this paper were quarterly. The time range was from the first quarter of 2009 to the third quarter of 2013 for 19 quarters.The three data types in econometrics are time series data, cross-sectional data, and panel data.The main conclusions are as follows. Network convergence brings positive policy effects and adverse capital effects. The impact of network convergence on firm performance of the digital culture industry is not statistically significant, and this effect also has no indirect effects on the test of mediating effect. However, network convergence indirectly leads to the reduction of operating costs of the digital culture industry. The indirect effect is brought by the chain mediating effect of policy effect and capital effect. The study could provide a reference for other countries and regions. Meanwhile, it can be used to analyze the impact of different media convergence on digital industries.

scholarly journals Analisis Dampak Penanaman Modal Asing Dan Tenaga Kerja Asing Tiongkok terhadap Perekonomian Indonesia

2021 ◽  
Vol 10 (3) ◽  
pp. 159-167
Author(s):  
Neli Aida ◽  
Ukhti Ciptawaty ◽  
Toto Gunarto ◽  
Syarifah Aini
Keyword(s):  
Foreign Investment ◽  
Time Series Data ◽  
Secondary Data ◽  
Positive Influence ◽  
Least Square ◽  
Series Data ◽  
Foreign Workers ◽  
Data Types ◽  
Project Scheme ◽  
Study Results

This study will discuss the influence of the influx of foreign investment and Chinese foreign workers on the Indonesian economy, where cooperation between the two countries uses a turnkey project scheme. This study uses secondary data with time-series data types and is sourced from the Central Statistics Agency, the Investment Coordinating Board, and the Ministry of Manpower for the 2010-2019 period. The method used in this research is quantitative and statistical descriptive using multiple linear regression or OLS (Ordinary Least Square). The study results show a positive influence of Chinese foreign investment on the Indonesian economy and Chinese foreign workers who positively impact the Indonesian economy. Although both are below 1 percent, the percentage of Chinese foreign workers' influence on the Indonesian economy is greater than that of Chinese foreign investment.

scholarly journals Impact of Internet on delivery of critical cardiac health care: A case study from India

2012 ◽  
Vol 9 (2) ◽  
Author(s):  
Sudeepa Banerjee ◽  
Tapati Basu
Keyword(s):  
Health Care ◽  
Time Series Data ◽  
Series Data ◽  
The Internet ◽  
Cardiac Care ◽  
Cardiac Health ◽  
Test Of Hypotheses ◽  
The Impact ◽  
Critical Health Care

A case study has been conducted in India to estimate the impact of Internet on delivery of critical health care. Time series data on discharge and death from intensive cardiac care units have been collected from three individual centers that are under the Internet based telemedicine project of a private public partnership. Logistic Regression analysis has been performed to estimate the response parameters and test of hypotheses. The results confirm the effectiveness of using Internet in providing critical cardiac care to patients. The findings can be utilized to increase the number of local telemedicine centers in remote and underdeveloped areas.

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