scholarly journals A Study of Prescriptive Analysis Framework for Human Care Services Based On CKAN Cloud

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Jangwon Gim ◽  
Sukhoon Lee ◽  
Wonkyun Joo

A number of sensor devices are widely distributed and used today owing to the accelerated development of IoT technology. In particular, this technological advancement has allowed users to carry IoT devices with more convenience and efficiency. Based on the IoT sensor data, studies are being actively carried out to recognize the current situation or to analyze and predict future events. However, research for existing smart healthcare services is focused on analyzing users’ behavior from single sensor data and is also focused on analyzing and diagnosing the current situation of the users. Therefore, a method for effectively managing and integrating a large amount of IoT sensor data has become necessary, and a framework considering data interoperability has become necessary. In addition, an analysis framework is needed not only to provide the analysis of the users’ environment and situation from the integrated data, but also to provide guide information to predict future events and to take appropriate action by users. In this paper, we propose a prescriptive analysis framework using a 5W1H method based on CKAN cloud. Through the CKAN cloud environment, IoT sensor data stored in individual CKANs can be integrated based on common concepts. As a result, it is possible to generate an integrated knowledge graph considering interoperability of data, and the underlying data is used as the base data for prescriptive analysis. In addition, the proposed prescriptive analysis framework can diagnose the situation of the users through analysis of user environment information and supports users’ decision making by recommending the possible behavior according to the coming situation of the users. We have verified the applicability of the 5W1H prescriptive analysis framework based on the use case of collecting and analyzing data obtained from various IoT sensors.

2021 ◽  
Vol 30 (4) ◽  
pp. 27-34
Author(s):  
Dang Thanh Nam ◽  
Nguyen Thi Thuy Duong ◽  
Phan Le Thu Hang ◽  
Tham Chi Dung

Strengthening the health care system at grassroots level is a top priority of the Vietnam Government agenda at the present. Recently, the overall system has been improved, however the capacity to deliver healthcare services, especially primary health care was still facing to many shortcomings. The study aimed to assess the current situation and capacity to deliver health care services at grassroots level. All health care facilities in the Minh Hoa district, Quang Binh province in 2018 were selected, included Minh Hoa District Hospital (DHs) and 16 Commune Health Center (CHCs). The results showed that the disease patterns tended to primarily concentrate on the illness which weres related to the human lifestyle and health behaviors such as living habits, eating unhealthy food, stress and also natural environment. Utilization of the curative services increased over the year, especially the laboratory testing and health examination services. However, the facility infrastructures did not meet the national standard. The function rooms in the facilities being degraded and damaged remained at high proportion which were required to renovate. The facilities lacked of large number of essential equipment and materials. In order to strengthen the capacity to deliver the health care services, the study recommended to invest to standardize infrastructure, provision of essential equipment, materials and drugs in correspondent to the disease pattern.


2019 ◽  
Vol 8 (2) ◽  
pp. 6117-6122

From hairbrushes to scales, all devices have sensors embedded in them to collect and communicate data. Smart Healthcare is proving to be an exciting and dynamic area with lots of room for new innovations and the increasing consumer demand for proactive health monitoring devices. Having India poised to spend a lot on healthcare, recent innovations using IoT devices and big data analytics can propel the healthcare industry into the future. Smart healthcare providers are leveraging cloud computing with fog computing to optimize their healthcare services. These smart healthcare applications depend mainly on the raw sensor data collected, aggregated, and analyzed by the smart sensors. Smart sensors these days generate myriad amount of data like text, image, audio, and video that require real-time or batch processing. Aggregating these diverse data from various types of resources remains a dispute till date. To resolve this issue, we have proposed a softwarized infrastructure that integrates cloud computing and fog computing, message brokers, and Tor for supple, safe, viable, and a concealed IoT exploitation for smart healthcare applications and services. Our proposed platform employs machine-to-machine (M2M) messaging, data fusion and decision fusion, and uses rule-based beacons for seamless data management. Our proposed flexBeacon system provides an IoT infrastructure that is nimble, secure, flexible, private, and reasonable. We have also proposed an M2M transceiver and microcontroller for flawless data incorporation of smart healthcare applications and services. Based on the IoT devices’ technical capabilities and resource availability, some systems are capable of making use of homomorphic encryption and zero knowledge proofs. The proposed flexBeacon platform offers seamless management and data aggregation without loss of accuracy. The cost of implementing a softwarized IoT for smart healthcare is also greatly reduced.


2020 ◽  
Vol 9 (5) ◽  
pp. 1990-1997
Author(s):  
Adhitya Bhawiyuga ◽  
Satria Adi Kharisma ◽  
Bagus Jati Santoso ◽  
Dany Primanita Kartikasari ◽  
Annisa Puspa Kirana

In IoT-based smart healthcare services, the heterogeneity of connected wearable sensing devices open up a wide opportunity to develop various healthcare services. However, it also poses an interoperability challenge since each sensing device and application may have different communication mechanisms. Considering that challenge, web platform can be seen as a promising candidate for providing an interoperability layer as we can abstract various devices as single representation i.e. web resource. In this paper, we propose the design of middleware for enabling efficient web of things access over healthcare wearable devices. The proposed middleware consists of three components: gateway-to-cloud device, messaging service and data access interface. The gateway-to-cloud device has a role to perform low level sensor data collection from various wearable sensing device through bluetooth low energy (BLE) communication protocol. Collected data are then relayed to the cloud IoT platform using a lightweight MQTT messaging protocol. In order to provide device abstraction along with access to the stored data, the system offers two kind of interfaces: the Restful HTTP identified by unique universal resource locator (URL) for batch access and MQTT websocket interface identified by unique topic to accommodate access on sensing data in near real time stream manner.


2020 ◽  
Author(s):  
Mohammed M. J. Alqahtani

BACKGROUND The COVID-19 pandemic has obstructed the classical practices of psychological assessment and intervention via face-to-face interaction. Patients and all health professionals have been forced to isolate and become innovative to continue receiving and providing exceptional healthcare services while minimizing the risk of exposure to, or transmission of, COVID-19. OBJECTIVE This document is proposed initially as a guide to the extraordinary implementation of telepsychology in the context of the COVID-19 pandemic and to extend its implementation to use fundamentally as the main guideline for telepsychology services in Saudi Arabia and other Arabic communities. METHODS A professional task force representing different areas of professional psychology reviewed, summarized, and documented methods, policies, procedures, and other resources to ensure that the recommendations and evidence reviews were valid and consistent with best practices. RESULTS The practice of telepsychology involves the consideration of legal and professional requirements. This paper provides a guideline and recommendations for procedural changes that are necessary to address psychological services as we transition to telepsychology, as well as elucidates and demonstrates practical telepsychology frameworks, procedures, and proper recommendations for the provision of services during COVID-19. It adds a focused examination and discussion related to factors that could influence the telemedicine guideline, such as culture, religion, legal matters, and how clinical psychologists could expand their telepsychology practice during COVID-19 and after, seeking to produce broadly applicable guidelines for the practice of telepsychology. Professional steps in practical telemedicine were illustrated in tables and examples. CONCLUSIONS Telepsychology is not a luxury or a temporary response. Rather, it should be considered part of a proactive governance model to secure a continuity of mental health care services. Arabic communities could benefit from this guideline to telepsychology as an essential protocol for providing mental health services during and after the COVID-19 pandemic.


Author(s):  
Okeoghene Odudu

This chapter investigates how, within a number of European Union (EU) Member States, competition law has been used to address problems of market power in the healthcare services sector. It summarizes the relevant EU and national competition laws and considers the experience of applying those laws to providers of healthcare services. The chapter is chiefly concerned with healthcare services in England, although examples are drawn for other EU Member States. Examination of the English experience provides a view of the use of competition law to address market power problems in most elements of the health system matrix. The chapter then considers three challenges that emerge from that experience of using competition law to address problems of market power in healthcare service markets. The first challenges the applicability of competition law to healthcare service providers operating in each or every element of the healthcare system matrix. The second, accepting applicability, questions the appropriateness of the substantive rules to healthcare services. The third, a battle of authority and autonomy, considers whether decisions made by healthcare service providers should be subject to external review and the type of review that competition law offers.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
F R Rab ◽  
S S Stranges ◽  
A D Thind ◽  
S S Sohani

Abstract Background Over 34 million people in Afghanistan have suffered from death and devastation for the last four decades as a result of conflict. Women and children have borne the brunt of this devastation. Afghanistan has some of the poorest health indicators in the world for women and children. In the midst of armed conflict, providing essential healthcare in remote regions in the throws of conflict remains a challenge, which is being addressed the Mobile Health Teams through Afghan Red Crescent (ARCS). To overcome socio-cultural barriers, ARCS MHTs have used local knowledge to hire female staff as part of the MHTs along with their male relatives as part of MHT staff. The present study was conducted to explore the impact of engaging female health workers as part of MHTs in conflict zones within Afghanistan on access, availability and utilization of maternal and child health care. Methods Quantitative descriptive and time-trend analysis were used to evaluate impact of introduction of female health workers. Qualitative data is being analyzed to assess the possibilities and implications of engaging female health workers in the delivery of health services. Results Preliminary results show a 96% increase in uptake of services for expectant mothers over the last four years. Average of 18 thousand services provided each month by MHTs, 70% for women and children. Service delivery for women and children significantly increased over time (p < 0.05) after inclusion of female health workers in MHTs. Delivery of maternity care services showed a more significant increase (p < 0.001). Time trend and qualitative analyses is ongoing. Conclusions Introduction of female health workers significantly improved uptake of health care services for women and children especially in extremely isolated areas controlled by armed groups in Afghanistan. Engaging with local stakeholders is essential for delivery of health services for vulnerable populations in fragile settings like Afghanistan. Key messages Understanding cultural norms results in socially acceptable solutions to barriers in delivery of healthcare services and leads to improvements in access for women and children in fragile settings. Building local partnerships and capacities and using local resources result in safe, efficient and sustainable delivery of healthcare services for vulnerable populations in fragile settings.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Alayne M. Adams ◽  
Rushdia Ahmed ◽  
Shakil Ahmed ◽  
Sifat Shahana Yusuf ◽  
Rubana Islam ◽  
...  

Abstract Background An effective referral system is critical to ensuring access to appropriate and timely healthcare services. In pluralistic healthcare systems such as Bangladesh, referral inefficiencies due to distance, diversion to inappropriate facilities and unsuitable hours of service are common, particularly for the urban poor. This study explores the reported referral networks of urban facilities and models alternative scenarios that increase referral efficiency in terms of distance and service hours. Methods Road network and geo-referenced facility census data from Sylhet City Corporation were used to examine referral linkages between public, private and NGO facilities for maternal and emergency/critical care services, respectively. Geographic distances were calculated using ArcGIS Network Analyst extension through a “distance matrix” which was imported into a relational database. For each reported referral linkage, an alternative referral destination was identified that provided the same service at a closer distance as indicated by facility geo-location and distance analysis. Independent sample t-tests with unequal variances were performed to analyze differences in distance for each alternate scenario modelled. Results The large majority of reported referrals were received by public facilities. Taking into account distance, cost and hours of service, alternative scenarios for emergency services can augment referral efficiencies by 1.5–1.9 km (p < 0.05) compared to 2.5–2.7 km in the current scenario. For maternal health services, modeled alternate referrals enabled greater referral efficiency if directed to private and NGO-managed facilities, while still ensuring availability after working-hours. These referral alternatives also decreased the burden on Sylhet City’s major public tertiary hospital, where most referrals were directed. Nevertheless, associated costs may be disadvantageous for the urban poor. Conclusions For both maternal and emergency/critical care services, significant distance reductions can be achieved for public, NGO and private facilities that avert burden on Sylhet City’s largest public tertiary hospital. GIS-informed analyses can help strengthen coordination between service providers and contribute to more effective and equitable referral systems in Bangladesh and similar countries.


2017 ◽  
Vol 41 (S1) ◽  
pp. S452-S452
Author(s):  
A. Rebowska

AimsThe aim of this literature review is to explore the range of factors that influence the degree of access to health care services by children and young people with learning disabilities.BackgroundChildren with learning disabilities are at increased risk of a wide range of health conditions comparing with their peers. However, recent reports by UK government as well as independent charities working with children and young people with learning disabilities demonstrated that they are at risk of poor health outcomes as a result of barriers preventing them from accessing most appropriate services.MethodsComprehensive searches were conducted in six databases. Articles were also obtained through review of references, a search of the grey literature, and contacting experts in the field. The inclusion criteria were for studies evaluating access to healthcare services, identification and communication of health needs, organisational aspects impacting on access and utilisation, staff attitudes where they impacted on access, barriers, discrimination in patients with intellectual disabilities age 0–18. The literature search identified a sample of 36 papers. The marked heterogeneity of studies excluded conducting a meta-analysis.ResultsBarriers to access included problems with identification of healthcare needs by carers and healthcare professionals, communication difficulties, the inadequacy of facilities, geographical and physical barriers, organisational factors such as inflexible appointment times, attitudes and poor knowledge base of healthcare staff.ConclusionThe factors identified can serve as a guide for managers and clinicians aiming to improve access to their healthcare services for children and young people with intellectual disabilities.Disclosure of interestThe authors have not supplied their declaration of competing interest.


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