scholarly journals Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform

10.2196/18707 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e18707 ◽  
Author(s):  
Wade L Schulz ◽  
Thomas J S Durant ◽  
Charles J Torre Jr ◽  
Allen L Hsiao ◽  
Harlan M Krumholz
Keyword(s):  
Health Care ◽  
Real Time ◽  
Disease Surveillance ◽  
Organizational Response ◽  
Test Results ◽  
Time Data ◽  
Real World Data ◽  
Real Time Data ◽  
Novel Applications ◽  
Incident Cases

The ongoing coronavirus disease outbreak demonstrates the need for novel applications of real-time data to produce timely information about incident cases. Using health information technology (HIT) and real-world data, we sought to produce an interface that could, in near real time, identify patients presenting with suspected respiratory tract infection and enable monitoring of test results related to specific pathogens, including severe acute respiratory syndrome coronavirus 2. This tool was built upon our computational health platform, which provides access to near real-time data from disparate HIT sources across our health system. This combination of technology allowed us to rapidly prototype, iterate, and deploy a platform to support a cohesive organizational response to a rapidly evolving outbreak. Platforms that allow for agile analytics are needed to keep pace with evolving needs within the health care system.

scholarly journals Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform (Preprint)

2020 ◽  
Author(s):  
Wade L Schulz ◽  
Thomas J S Durant ◽  
Charles J Torre Jr ◽  
Allen L Hsiao ◽  
Harlan M Krumholz
Keyword(s):  
Health Care ◽  
Real Time ◽  
Disease Surveillance ◽  
Organizational Response ◽  
Time Data ◽  
Real World Data ◽  
System P ◽  
Real Time Data ◽  
Novel Applications ◽  
Incident Cases

UNSTRUCTURED The ongoing coronavirus disease outbreak demonstrates the need for novel applications of real-time data to produce timely information about incident cases. Using health information technology (HIT) and real-world data, we sought to produce an interface that could, in near real time, identify patients presenting with suspected respiratory tract infection and enable monitoring of test results related to specific pathogens, including severe acute respiratory syndrome coronavirus 2. This tool was built upon our computational health platform, which provides access to near real-time data from disparate HIT sources across our health system. This combination of technology allowed us to rapidly prototype, iterate, and deploy a platform to support a cohesive organizational response to a rapidly evolving outbreak. Platforms that allow for agile analytics are needed to keep pace with evolving needs within the health care system.

scholarly journals Mobile technologies for disease surveillance in humans and animals

2014 ◽  
Vol 81 (2) ◽  
Author(s):  
Mpoki Mwabukusi ◽  
Esron D. Karimuribo ◽  
Mark M. Rweyemamu ◽  
Eric Beda
Keyword(s):  
Developing Countries ◽  
Human Health ◽  
Real Time ◽  
Disease Surveillance ◽  
Open Data ◽  
Weather Conditions ◽  
Mobile Technologies ◽  
Surveillance Systems ◽  
Time Data ◽  
Real Time Data

A paper-based disease reporting system has been associated with a number of challenges. These include difficulties to submit hard copies of the disease surveillance forms because of poor road infrastructure, weather conditions or challenging terrain, particularly in the developing countries. The system demands re-entry of the data at data processing and analysis points, thus making it prone to introduction of errors during this process. All these challenges contribute to delayed acquisition, processing and response to disease events occurring in remote hard to reach areas. Our study piloted the use of mobile phones in order to transmit near to real-time data from remote districts in Tanzania (Ngorongoro and Ngara), Burundi (Muyinga) and Zambia (Kazungula and Sesheke). Two technologies namely, digital and short messaging services were used to capture and transmit disease event data in the animal and human health sectors in the study areas based on a server–client model. Smart phones running the Android operating system (minimum required version: Android 1.6), and which supported open source application, Epicollect, as well as the Open Data Kit application, were used in the study. These phones allowed collection of geo-tagged data, with the opportunity of including static and moving images related to disease events. The project supported routine disease surveillance systems in the ministries responsible for animal and human health in Burundi, Tanzania and Zambia, as well as data collection for researchers at the Sokoine University of Agriculture, Tanzania. During the project implementation period between 2011 and 2013, a total number of 1651 diseases event-related forms were submitted, which allowed reporters to include GPS coordinates and photographs related to the events captured. It was concluded that the new technology-based surveillance system is useful in providing near to real-time data, with potential for enhancing timely response in rural remote areas of Africa. We recommended adoption of the proven technologies to improve disease surveillance, particularly in the developing countries.

scholarly journals “I Like the Idea of It…But Probably Wouldn’t Use It” - Health Care Provider Perspectives on Heart Failure mHealth: Qualitative Study (Preprint)

2020 ◽  
Author(s):  
Jennifer Dickman Portz ◽  
Kelsey Lynett Ford ◽  
Kira Elsbernd ◽  
Christopher E Knoepke ◽  
Kelsey Flint ◽  
...  
Keyword(s):  
Heart Failure ◽  
Health Care ◽  
Qualitative Study ◽  
Real Time ◽  
Health Care Providers ◽  
Patient Reported Outcomes ◽  
Care Providers ◽  
Time Data ◽  
Patient Reported ◽  
Real Time Data

BACKGROUND Many mobile health (mHealth) technologies exist for patients with heart failure (HF). However, HF mhealth lacks evidence of efficacy, caregiver involvement, and clinically useful real-time data. OBJECTIVE We aim to capture health care providers’ perceived value of HF mHealth, particularly for pairing patient–caregiver-generated data with clinical intervention to inform the design of future HF mHealth. METHODS This study is a subanalysis of a larger qualitative study based on interviewing patients with HF, their caregivers, and health care providers. This analysis included interviews with health care providers (N=20), focusing on their perceived usefulness of HF mHealth tools and interventions. RESULTS A total of 5 themes emerged: (1) bio-psychosocial-spiritual monitoring, (2) use of sensors, (3) interoperability, (4) data sharing, and (5) usefulness of patient-reported outcomes in practice. Providers remain interested in mHealth technologies for HF patients and their caregivers. However, providers report being unconvinced of the clinical usefulness of robust real-time patient-reported outcomes. CONCLUSIONS The use of assessments, sensors, and real-time data collection could provide value in patient care. Future research must continually explore how to maximize the utility of mHealth for HF patients, their caregivers, and health care providers.

scholarly journals Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support (Preprint)

2018 ◽  
Author(s):  
Eric Steven Kirkendall ◽  
Yizhao Ni ◽  
Todd Lingren ◽  
Matthew Leonard ◽  
Eric S Hall ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Real Time ◽  
Clinical Decision Support ◽  
Event Detection ◽  
Infusion Pump ◽  
Clinical Decision ◽  
Time Data ◽  
Real Time Data ◽  
Safety Event

BACKGROUND The continued digitization and maturation of health care information technology has made access to real-time data easier and feasible for more health care organizations. With this increased availability, the promise of using data to algorithmically detect health care–related events in real-time has become more of a reality. However, as more researchers and clinicians utilize real-time data delivery capabilities, it has become apparent that simply gaining access to the data is not a panacea, and some unique data challenges have emerged to the forefront in the process. OBJECTIVE The aim of this viewpoint was to highlight some of the challenges that are germane to real-time processing of health care system–generated data and the accurate interpretation of the results. METHODS Distinct challenges related to the use and processing of real-time data for safety event detection were compiled and reported by several informatics and clinical experts at a quaternary pediatric academic institution. The challenges were collated from the experiences of the researchers implementing real-time event detection on more than half a dozen distinct projects. The challenges have been presented in a challenge category-specific challenge-example format. RESULTS In total, 8 major types of challenge categories were reported, with 13 specific challenges and 9 specific examples detailed to provide a context for the challenges. The examples reported are anchored to a specific project using medication order, medication administration record, and smart infusion pump data to detect discrepancies and errors between the 3 datasets. CONCLUSIONS The use of real-time data to drive safety event detection and clinical decision support is extremely powerful, but it presents its own set of challenges that include data quality and technical complexity. These challenges must be recognized and accommodated for if the full promise of accurate, real-time safety event clinical decision support is to be realized.

Field Test Results Demonstrating Improved Real-Time Data Quality in an Advanced LWD Acoustic System

2001 ◽  
Author(s):  
James V. Leggett ◽  
Vladimir Dubinsky ◽  
Doug Patterson ◽  
Alexei Bolshakov
Keyword(s):  
Data Quality ◽  
Real Time ◽  
Field Test ◽  
Test Results ◽  
Acoustic System ◽  
Time Data ◽  
Real Time Data

Research on the WAMS Real-Time Data Processing Based on the Message Bus

2014 ◽  
Vol 1070-1072 ◽  
pp. 874-879
Author(s):  
Jin Ming Hou ◽  
Chuan Kai Zhang ◽  
Xiu Ping Shi ◽  
Yuan Chao Huang
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Test Results ◽  
Time Data ◽  
Advantages And Disadvantages ◽  
Data Message ◽  
Real Time Data ◽  
Message Bus ◽  
Real Time Data Processing ◽  
Consumer Model

Senior applications based on PMU have to process a large amount of data. An effective method to solve the problem is need to find. Firstly, the characteristics of real-time data message of WAMS and the method for receiving and processing real-time data based on the message bus of the smart grid dispatching technical support system were analyzed, and then, the producer/consumer model which is commonly used in the data receiving and processing was introduced emphatically. The advantages and disadvantages of three different ways to realize the buffer were explained. Finally, the test results of practical application were given. The test results show the producer / consumer model using the ring buffer can effectively solve the problem of a large number of PMU data processing.

scholarly journals Emulator and Simulator of Term a SCANTER and ARPA Radar Data Server

2019 ◽  
Vol 218 (3) ◽  
pp. 95-112
Author(s):  
Maciej Sac ◽  
Sylwester Kaczmarek ◽  
Marcin Narloch
Keyword(s):  
Real Time ◽  
Surveillance System ◽  
Radar Data ◽  
Functional Test ◽  
Test Results ◽  
Time Data ◽  
Video Distribution ◽  
Real Time Data ◽  
Multimedia Surveillance

Abstract The software solutions presented in this paper generate real-time data compatible with ARPA radar standard as well as Terma SCANTER 2001 radar cooperating with Video Distribution and Tracking (VDT) server. Two different approaches to this problem are considered: emulation based on the data captured from real devices and simulation of objects on the sea. For both of them architecture, implementation details and functional test results are presented. The developed software will be used to test new functionalities of the multimedia surveillance system implemented for the Maritime Division of the Polish Border Guard within the STRADAR project.

scholarly journals “I Like the Idea of It…But Probably Wouldn’t Use It” - Health Care Provider Perspectives on Heart Failure mHealth: Qualitative Study

JMIR Cardio ◽  
10.2196/18101 ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. e18101
Author(s):  
Jennifer Dickman Portz ◽  
Kelsey Lynett Ford ◽  
Kira Elsbernd ◽  
Christopher E Knoepke ◽  
Kelsey Flint ◽  
...  
Keyword(s):  
Heart Failure ◽  
Health Care ◽  
Qualitative Study ◽  
Real Time ◽  
Health Care Providers ◽  
Patient Reported Outcomes ◽  
Care Providers ◽  
Time Data ◽  
Patient Reported ◽  
Real Time Data

Background Many mobile health (mHealth) technologies exist for patients with heart failure (HF). However, HF mhealth lacks evidence of efficacy, caregiver involvement, and clinically useful real-time data. Objective We aim to capture health care providers’ perceived value of HF mHealth, particularly for pairing patient–caregiver-generated data with clinical intervention to inform the design of future HF mHealth. Methods This study is a subanalysis of a larger qualitative study based on interviewing patients with HF, their caregivers, and health care providers. This analysis included interviews with health care providers (N=20), focusing on their perceived usefulness of HF mHealth tools and interventions. Results A total of 5 themes emerged: (1) bio-psychosocial-spiritual monitoring, (2) use of sensors, (3) interoperability, (4) data sharing, and (5) usefulness of patient-reported outcomes in practice. Providers remain interested in mHealth technologies for HF patients and their caregivers. However, providers report being unconvinced of the clinical usefulness of robust real-time patient-reported outcomes. Conclusions The use of assessments, sensors, and real-time data collection could provide value in patient care. Future research must continually explore how to maximize the utility of mHealth for HF patients, their caregivers, and health care providers.

scholarly journals IMPLEMENTASI FORMULA HAVERSINE DAN KOMUNIKASI DATA REAL-TIME MENGGUNAKAN WEBSOCKET DI SISTEM PENGAWASAN WARGA NEGARA ASING

2019 ◽  
Vol 6 (2) ◽  
pp. 143
Author(s):  
Alam Rahmatulloh
Keyword(s):  
Real Time ◽  
Communication Technology ◽  
Data Transmission ◽  
Data Communication ◽  
Test Results ◽  
Time Data ◽  
Google Maps ◽  
Web Based ◽  
Straight Line ◽  
Real Time Data

<p><em>Foreign Citizens (FC) after entering Indonesian territory according to applicable legal procedures, the presence of foreigners can be anywhere. Problems also arise when parties involved in supervising foreigners cannot contact foreigners who experience immigration problems and do not know the location of the presence of current foreigners or where they were. One solution to this problem is implementing real time data communication to monitor the location of foreigners, so that foreigners can always be monitored. Before going to the residence, a consideration is needed to determine which residence of the foreigner to be visited. Knowing the distance of a foreigner's residence can be an added point in these considerations. The Haversine method is implemented by calculating the distance between parties involved in the supervision of foreigners with each address of the foreigner's residence. The comparison test results of the Haversine method with Google Maps in this study, which has an average difference of 0.039 km in terms of distance based on a straight line. Real time data communication technology using websocket is implemented into a WNA surveillance system, consisting of web-based applications and android-based applications that are interconnected into websocket networks. The average results of profiling the speed of writing data for 15 minutes from the smartphone to the real time firebase database which is 1.4 milliseconds with 10 seconds of data transmission interval from the smartphone and the results of the average speed of receiving data from firebase realtime database to the WNA monitoring system ie 0 , 36 seconds with the data receiving interval from firebase realtime database 10 seconds.</em></p><p><em><strong>Keywords</strong></em><em>: Firebase Realtime Database, Foreign Citizens</em><em>,</em><em> Haversine, Websocket</em></p><p><em>Warga Negara Asing (WNA) setelah memasuki wilayah Indonesia sesuai prosedur hukum yang berlaku, maka keberadaan WNA dapat berada dimana saja. Masalah pun timbul ketika pihak yang terlibat dalam pengawasan WNA tidak dapat menghubungi WNA yang mengalami masalah keimigrasian dan tidak mengetahui lokasi keberadaan WNA saat ini ataupun lokasi keberadaan sebelumnya. Salah satu solusi dari permasalahan tersebut yaitu mengimplementasikan komunikasi data real time untuk mengawasi lokasi keberadaan WNA, sehingga pergerakan WNA dapat selalu terawasi. Sebelum mendatangi tempat tinggal tersebut, dibutuhkan sebuah pertimbangan untuk menentukan tempat tinggal WNA mana dulu yang akan didatangi. Mengetahui jarak tempat tinggal WNA dapat menjadi poin tambah dalam pertimbangan tersebut. Metode haversine diimplementasikan dengan cara menghitung jarak antara pihak yang terlibat dalam pengawasan WNA dengan setiap alamat tempat tinggal WNA. Hasil pengujian perbandingan metode haversine dengan google maps pada penelitian ini yaitu mempunyai rata-rata selisih sebesar 0,039 km dalam hal jarak berdasarkan garis lurus. Teknologi komunikasi data real time menggunakan websocket diimplementasikan kedalam sebuah sistem pengawasan WNA, terdiri dari aplikasi berbasis web dan aplikasi berbasis android yang saling terhubung kedalam jaringan websocket. Hasil rata-rata profiling kecepatan proses tulis data selama 15 menit dari smartphone ke firebase realtime database yaitu 1,4 milidetik dengan interval pengiriman data dari smartphone 10 detik sekali dan hasil rata-rata kecepatan penerimaan data dari firebase realtime database ke sistem pengawasan WNA yaitu 0,36 detik dengan interval penerimaan data dari firebase realtime database 10 detik sekali.</em></p><em><strong>Kata kunci</strong></em><em>: Firebase Realtime Database, Haversine, Pengawasan WNA,</em><em> </em><em>Websocket</em>

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