Improving a health information system for real-time data entries: An action research project using socio-technical systems theory

2017 ◽  
Vol 43 (2) ◽  
pp. 159-171
Author(s):  
Godfried Bakiyem Adaba ◽  
Yohannes Kebebew
Author(s):  
Joseph Szakas ◽  
Christian Trefftz ◽  
Raul Ramirez ◽  
Eric Jefferis

Patrolling in a nonrandom, but focused manner is an important activity in law enforcement. The use of geographic information systems, the emerging real-time data sets (spatial and nonspatial) and the ability via global positioning systems to identify locations of patrol units provide the environment to discuss the concept and requirements of an intelligent patrol routing system. This intelligent patrol routing system will combine available data utilizing Map Algebra and a data structure known as a Voronoi diagram to create a real-time updatable raster surface over the patrolling area to identify destination locations and routes for all patrol units. This information system will allow all patrol units to function “in concert” under a coordinated plan, and make good use of limited patrolling resources, and provide the means of evaluating current patrol strategies. This chapter discusses the algorithmic foundation, implications, requirements, and simulation of a GIS based intelligent patrol routing system.


2020 ◽  
Vol 5 (7) ◽  
pp. e002203
Author(s):  
Faisal Shuaib ◽  
Abdullahi Bulama Garba ◽  
Emmanuel Meribole ◽  
Samuel Obasi ◽  
Adamu Sule ◽  
...  

In 2010, Nigeria adopted the use of web-based software District Health Information System, V.2 (DHIS2) as the platform for the National Health Management Information System. The platform supports real-time data reporting and promotes government ownership and accountability. To strengthen its routine immunisation (RI) component, the US Centers for Disease Control and Prevention (CDC) through its implementing partner, the African Field Epidemiology Network-National Stop Transmission of Polio, in collaboration with the Government of Nigeria, developed the RI module and dashboard and piloted it in Kano state in 2014. The module was scaled up nationally over the next 4 years with funding from the Bill & Melinda Gates Foundation and CDC. One implementation officer was deployed per state for 2 years to support operations. Over 60 000 RI healthcare workers were trained on data collection, entry and interpretation and each local immunisation officer in the 774 local government areas (LGAs) received a laptop and stock of RI paper data tools. Templates for national-level and state-level RI bulletins and LGA quarterly performance tools were developed to promote real-time data use for feedback and decision making, and enhance the performance of RI services. By December 2017, the DHIS2 RI module had been rolled out in all 36 states and the Federal Capital Territory, and all states now report their RI data through the RI Module. All states identified at least one government DHIS2 focal person for oversight of the system’s reporting and management operations. Government officials routinely collect RI data and use them to improve RI vaccination coverage. This article describes the implementation process—including planning and implementation activities, achievements, lessons learnt, challenges and innovative solutions—and reports the achievements in improving timeliness and completeness rates.


2017 ◽  
Vol 27 (2) ◽  
pp. 162-181 ◽  
Author(s):  
Zhuming Bi ◽  
Guoping Wang ◽  
Li Da Xu ◽  
Matt Thompson ◽  
Raihan Mir ◽  
...  

Purpose The purpose of this paper is to develop an information system which is based on the Internet of things (IoT) and used to support the communication and coordination in a cooperative robot team. Design/methodology/approach The architecture of the IoT applications for decision-making activities in a complex system is elaborated, the focus lies on the effective implementation of system interactions at the device-level. A case study is provided to verify system performances. Findings The IoT concept has been introduced in an information system of a football robot team to support the coordination among team players. Various sensors are used to collect data from IoT, and data are processed for the controls of robotic players to achieve the better performance at the system level. The field test has shown the feasibility and effectiveness. Research limitations/implications To investigate how IoT can be utilized in an information system for making complex decisions effectively, the authors use the decision-support system for a football robot team to illustrate the approaches in developing data acquisition infrastructure, processing and utilizing real-time data for the communication and coordination of robot players in a dynamic competing environment. While the presented work has shown the feasibility of an IoT-based information system, more work are needed to integrate advanced sensors within the IoT and develop more intelligent algorithms to replace manually remote control for the operations of robot players. Practical implications The proposed system is specifically for a football robot team; however, the associated approaches are applicable to any decentralized system for developing an information system to support IoT-based communication and coordination within the system in the real-time mode. Originality/value The exploration of IoT applications is still at its early stage, existing relevant work is mostly limited to the development of system architecture, sensor networks, and communication protocols. In this paper, the methods on how to use massive real-time data for decision-making of a decentralized team have been investigated, and the proposed system has its theoretical significance to developing other decentralized wireless sensor networks and decision-making systems.


2018 ◽  
Author(s):  
Dalal Youssef ◽  
C Khoury ◽  
G Allouch ◽  
K Haydar ◽  
A Jouny ◽  
...  

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Jonathan Edwin ◽  
Lisa Indar ◽  
Virginia Asin-Oostburg

Objective: The new Tourism and Health Information System (THiS) was implemented for syndromic surveillance in visitor accommodations in the Caribbean region. The objective was to monitor for illnesses and potential outbreaks in visitor accommodations (hotels/guest houses) in the Caribbean in real-time using the web-based application.Introduction: Travel and tourism pose global health security risks via the introduction and spread of disease, as demonstrated by the H1N1 pandemic (2009), Chikungunya (2013), and recent Zika virus outbreak. In 2016, nearly 60 million persons visited the Caribbean. Historically no regional surveillance systems for illnesses in visitor populations existed. The Tourism and Health Information System (THiS), designed by the Caribbean Public Health Agency (CARPHA) from 2016-2017, is a new web-based application for syndromic surveillance in Caribbean accommodation settings, with real-time data analytics and aberration detection built in. Once an accommodation registers as part of the surveillance system, guests and staff can report their illness to front desk administration who then complete an online case questionnaire. Alternatively guests and staff from both registered and unregistered accommodations can self-report their illness using the online questionnaire in the THiS web application. Reported symptoms are applied against case definitions in real-time to generate the following syndromes: gastroenteritis, fever & respiratory symptoms, fever & haemorrhagic symptoms, fever & neurologic symptoms, undifferentiated fever, and fever & rash. Reported data is analyzed in real-time and displayed in a data analytic dashboard that is accessible to hotel/guest house management and surveillance officers at the Ministry of Health. Data analytics include syndrome trends over time, gender and age breakdown, and illness attack rates.Methods: Visitor accommodations from the following countries participated: Bahamas, Barbados, Belize, Bermuda, Guyana, Jamaica, Trinidad & Tobago, and Turks & Caicos Islands. National staff from the Ministry of Health, Ministry of Tourism, and/or Tourism Authority/Board engaged accommodations to participate. Participating accommodations were provided with training by national staff on how to report cases and use data analytic functions. They were asked to provide registration information to CARPHA, such as contact information to create login credentials, and data on occupancy rates for low/high seasons, number of staff, and number of lodging rooms to calculate illness attack rates. Weekly email reminders to accommodations to report cases of illness in the THiS web application, or to confirm 'nil' cases by email were sent by CARPHA staff.Results: Of the 105 accommodations engaged by national staff, 39.1% (n=41) registered to participate, accounting for 3738 lodging rooms. From epidemiological week 24-39, five cases of syndromes from three accommodations in two countries were reported in the THiS web application (Table). A case of gastroenteritis and fever & respiratory symptoms were self-reported from an unregistered accommodation. Three cases of gastroenteritis were reported by hotel administration from two registered accommodations. The average response rate to weekly emails confirming 'nil' cases was 32.1% (range: 10.5-83.3%). One accommodation reported by email a cluster of 7 cases with possible conjuctivitis. No outbreaks or aberrations were detected in the THiS web application.Conclusions: Engagement of Caribbean visitor accommodations in public health surveillance is a novel but critical undertaking for promoting health, safety, and security for both visitors and locals in the tourism dependent Caribbean region, but it will take time to establish. Confirming the absence of illness is an important public health endeavor for visitor accommodations. Preliminary results have demonstrated that it is possible for public health to work in a voluntary basis with the private accommodation sector. To establish more consistent and reliable reporting public health legislation and policies will need to be explored. As more data is gathered, assessments of the validity and sensitivity of the system will need to be conducted.


MAUSAM ◽  
2021 ◽  
Vol 71 (1) ◽  
pp. 149-158
Author(s):  
YADAV J K S

WMO Information System (WIS)/Global Information System Center (GISC) and Mirror of Regional Telecommunication Hub (RTH) is basically a metadata catalogue web service and allows Data communication, synchronization of metadata with other Data Collection or Production Center (DCPC), GISCs or National Centers (NC’s) based on protocol OAI-PMH. Such catalogue is quite useful for rapidly integrating real-time and non- real- time data sets for better interpretation of weather systems by the forecaster (Singh et al., 2017).


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