An Adoption model for a big data analytics system for improving healthcare services in Burundi’s public hospitals

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Yves Habimana ◽  
Irene Moseti-Morara ◽  
Damaris Odero
Keyword(s):  
Health Care ◽  
Big Data ◽  
Data Analytics ◽  
Health Care Services ◽  
Big Data Analytics ◽  
Healthcare Services ◽  
Public Hospitals ◽  
Assessment Tools ◽  
Care Services ◽  
Adoption Model

One of the key responsibilities of a government is to provide efficient health care services that are better and affordable. In Burundi, patients’ health records are collected using handwritten forms and stored in filing cabinets. Evidence’ based research and practice shows that adoption of a Big Data Analytics (BDA) system can significantly improve health care services. Unfortunately, BDA adoption models and automated assessment tools are lacking not to mention the dearth caused by researchers’ predominant focus on the technical aspects. Therefore, the aim of this study was to propose a BDA system adoption model for improving health care services in Burundi’s public hospitals. This was achieved through a mixed research method a large part being qualitative. The factors that influence the adoption of BDA in public healthcare services using the Technology Organization Environment (TOE) adoption theory through a desk research. Semi-structured interviews, observations and document reviews were used to investigate the methods used to collect, store and analyze data in Public hospitals of Burundi. Afterwards, a web based automated Adoption Readiness Assessment Tool (ARAT) was developed then used to assess the readiness of Burundi in adopting a BDA system in its public hospitals. The assessment results showed that the country has adequate telecommunication infrastructures and has started using information systems like OpenClinic and District Health Information Software 2 (DHIS2) in some public hospitals, the government has set up policies for e-Health and the level of awareness is high as well among health workers. But there are improvements to be made in order to assure that the adoption is successful. Lastly, a tailored adoption model was proposed describing what should be done and how in order to assure a successful adoption of a BDA in public hospitals.  

Real Time Analysis Based on Intelligent Applications of Big Data and IoT in Smart Health Care Systems

2020 ◽  
pp. 1839-1857
Author(s):  
Mamata Rath
Keyword(s):  
Health Care ◽  
Big Data ◽  
Data Analytics ◽  
Treatment Plan ◽  
Big Data Analytics ◽  
Data Sets ◽  
Care Services ◽  
Real Time Analysis ◽  
Health Care Applications ◽  
Care Systems

Currently, there is an expanding interest for additional medical data from patients about their healthcare choices and related decisions, and they further need investment in their basic health issues. Big data provides patients presumptuous data to help them settle on the best choice and align with their medicinal treatment plan. One of the very advanced concepts related to the synthesis of big data sets to reveal the hidden pattern in them is big data analytics. It involves demanding techniques to mine and extract relevant data that includes the actions of piercing a database, effectively mine the data, query and inspect the data and is committed to enhance the technical execution of various task segments. The capacity to synthesize a lot of data can enable an association to manage data that can influence the business. In this way, the primary goal of big data analytics is to help business relationships to have enhanced comprehension of data, and subsequently, settle on proficient and very much educated decisions. Big data analytics empowers data diggers and researchers to examine an extensive volume of data that may not be outfit utilizing customary apparatuses. Big data analytics require advances and statistical instruments that can change a lot of organized, unstructured, and semi-organized data into more reasonable data and metadata designed for explanatory procedures. There is tremendous positive potential concerning the application of big data in human health care services and many related major applications are still in their developmental stages. The deployment of big data in health service demonstrates enhancing health care results and controlling the expenses of common people due to treatment, as proven by some developing use cases. Keeping in view such powerful processing capacity of big data analytics in various technical fields of modern civilization related to health care, the current research article presents a comprehensive study and investigation on big data analytics and its application in multiple sectors of society with significance in health care applications.

Real Time Analysis Based on Intelligent Applications of Big Data and IoT in Smart Health Care Systems

2018 ◽  
Vol 3 (2) ◽  
pp. 45-61 ◽  
Author(s):  
Mamata Rath
Keyword(s):  
Health Care ◽  
Big Data ◽  
Data Analytics ◽  
Health Care Services ◽  
Developmental Stages ◽  
Health Care Systems ◽  
Treatment Plan ◽  
Big Data Analytics ◽  
Real Time Analysis ◽  
Medicinal Treatment

Currently, there is an expanding interest for additional medical data from patients about their healthcare choices and related decisions, and they further need investment in their basic health issues. Big data provides patients presumptuous data to help them settle on the best choice and align with their medicinal treatment plan. One of the very advanced concepts related to the synthesis of big data sets to reveal the hidden pattern in them is big data analytics. It involves demanding techniques to mine and extract relevant data that includes the actions of piercing a database, effectively mine the data, query and inspect the data and is committed to enhance the technical execution of various task segments. The capacity to synthesize a lot of data can enable an association to manage data that can influence the business. In this way, the primary goal of big data analytics is to help business relationships to have enhanced comprehension of data, and subsequently, settle on proficient and very much educated decisions. Big data analytics empowers data diggers and researchers to examine an extensive volume of data that may not be outfit utilizing customary apparatuses. Big data analytics require advances and statistical instruments that can change a lot of organized, unstructured, and semi-organized data into more reasonable data and metadata designed for explanatory procedures. There is tremendous positive potential concerning the application of big data in human health care services and many related major applications are still in their developmental stages. The deployment of big data in health service demonstrates enhancing health care results and controlling the expenses of common people due to treatment, as proven by some developing use cases. Keeping in view such powerful processing capacity of big data analytics in various technical fields of modern civilization related to health care, the current research article presents a comprehensive study and investigation on big data analytics and its application in multiple sectors of society with significance in health care applications.

scholarly journals Patient Satisfaction with Health Care Services; An Application of Physician’s Behavior as a Moderator

2019 ◽  
Vol 16 (18) ◽  
pp. 3318 ◽  
Author(s):  
Faiza Manzoor ◽  
Longbao Wei ◽  
Abid Hussain ◽  
Muhammad Asif ◽  
Syed Irshad Ali Shah
Keyword(s):  
Health Care ◽  
Patient Satisfaction ◽  
Prenatal Care ◽  
Health Care Services ◽  
Care Facility ◽  
Target Population ◽  
Healthcare Services ◽  
Public Hospitals ◽  
Preventive Healthcare ◽  
Care Services

Patient satisfaction is a measure of the extent to which a patient is content with the health care they received from their health care provider. Patient satisfaction is one of the most important factors to determine the success of a health care facility. The purpose of this study was to determine patient satisfaction with healthcare services and encompass the physician’s behavior as moderation between patient satisfaction and healthcare services. The study seeks to measure the health care services, like a laboratory and diagnostic care, preventive healthcare and prenatal care, to patient satisfaction in the public health sectors of Pakistan. A descriptive survey research design was used for this study. The target population was patients from the out-patient department (OPD) of three public hospitals from Pakistan. By using the convenient sampling technique, 290 sample participants were selected from the target population. The reliability scales were tallied by using Cronbach’s Alpha. The findings of the study are gleaned by using regression to explore patient satisfaction with the health care services, and whether or not the physician’s behavior moderates the link of patient satisfaction and healthcare services. SPSS Hayes process was used for the moderation effect of the physician’s behavior. The main results of the regression analysis validate that health care services, such as laboratory and diagnostic care, preventive healthcare, and prenatal care, have a significant and positive effect on patient satisfaction. Specifically, the study suggests that the physician’s behavior significantly moderates the effect of health care services on the satisfaction of patients. The overall opinions about the satisfaction level of patients for the availability of health services in the hospitals were good. The degree of satisfaction was satisfactory with respect to laboratory and diagnostic care, preventive healthcare, and prenatal care services. Based on the outcomes, the study confirms that the proposed hypotheses are statistically significant. Furthermore, the directions for future research of the study are offered.

scholarly journals Implementing an Integrated Large-Scale Clinical Information System for ISSSTE’s Hospital Network in Mexico

2021 ◽  
Vol 3 (2) ◽  
pp. 444-453
Author(s):  
Arturo Cervantes Trejo ◽  
Sophie Domenge Treuille ◽  
Isaac Castañeda Alcántara
Keyword(s):  
Health Care ◽  
Information System ◽  
Health Care Services ◽  
Large Scale ◽  
Clinical Information System ◽  
Clinical Information ◽  
Public Hospitals ◽  
Care Services ◽  
Cost Reductions

AbstractThe Institute for Security and Social Services for State Workers (ISSSTE) is a large public provider of health care services that serve around 13.2 million Mexican government workers and their families. To attain process efficiencies, cost reductions, and improvement of the quality of diagnostic and imaging services, ISSSTE was set out in 2019 to create a digital filmless medical image and report management system. A large-scale clinical information system (CIS), including radiology information system (RIS), picture archiving and communication system (PACS), and clinical data warehouse (CDW) components, was implemented at ISSSTE’s network of forty secondary- and tertiary-level public hospitals, applying global HL-7 and Digital Imaging and Communications in Medicine (DICOM) standards. In just 5 months, 40 hospitals had their endoscopy, radiology, and pathology services functionally interconnected within a national CIS and RIS/PACS on secure private local area networks (LANs) and a secure national wide area network (WAN). More than 2 million yearly studies and reports are now in digital form in a CDW, securely stored and always available. Benefits include increased productivity, reduced turnaround times, reduced need for duplicate exams, and reduced costs. Functional IT solutions allow ISSSTE hospitals to leave behind the use of radiographic film and printed medical reports with important cost reductions, as well as social and environmental impacts, leading to direct improvement in the quality of health care services rendered.

scholarly journals Access and participation: What factors influence the provision and utilisation of health care services by children with learning disabilities?

2017 ◽  
Vol 41 (S1) ◽  
pp. S452-S452
Author(s):  
A. Rebowska
Keyword(s):  
Health Care ◽  
Learning Disabilities ◽  
Young People ◽  
Intellectual Disabilities ◽  
Health Care Services ◽  
Healthcare Services ◽  
Children And Young People ◽  
Care Services ◽  
Healthcare Needs ◽  
Wide Range

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.

Current situation and capacity to deliver healthcare services at grassroots level in Minh Hoa district, Quang Binh province

2021 ◽  
Vol 30 (4) ◽  
pp. 27-34
Author(s):  
Dang Thanh Nam ◽  
Nguyen Thi Thuy Duong ◽  
Phan Le Thu Hang ◽  
Tham Chi Dung
Keyword(s):  
Health Care ◽  
Health Care Services ◽  
Healthcare Services ◽  
Current Situation ◽  
Health Care Facilities ◽  
National Standard ◽  
Health Examination ◽  
Care Services ◽  
Disease Pattern ◽  
Grassroots Level

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.

Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Saurabh Agrawal ◽  
Abhishek Sahu ◽  
Yigit Kazancoglu
Keyword(s):  
Health Care ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Health Care Sector ◽  
Future Research ◽  
Research Gaps ◽  
Content Type

PurposeThe proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of this study is to find the research gaps in the literature and to investigate the scope of incorporating new strategies in the health-care sector for increasing the efficiency of the system.Design/methodology/approachFora state-of-the-art literature review, a systematic literature review has been carried out to find out research gaps in the field of healthcare using big data (BD) applications. A detailed research methodology including material collection, descriptive analysis and categorization is utilized to carry out the literature review.FindingsBD analysis is rapidly being adopted in health-care sector for utilizing precious information available in terms of BD. However, it puts forth certain challenges that need to be focused upon. The article identifies and explains the challenges thoroughly.Research limitations/implicationsThe proposed study will provide useful guidance to the health-care sector professionals for managing health-care system. It will help academicians and physicians for evaluating, improving and benchmarking the health-care strategies through BDA in the health-care sector. One of the limitations of the study is that it is based on literature review and more in-depth studies may be carried out for the generalization of results.Originality/valueThere are certain effective tools available in the market today that are currently being used by both small and large businesses and corporations. One of them is BD, which may be very useful for health-care sector. A comprehensive literature review is carried out for research papers published between 1974 and 2021.

Big Data and Big Data Analytics for Improved Healthcare Service and Management

2020 ◽  
Vol 8 (1) ◽  
pp. 13-51
Author(s):  
Pijush Kanti Dutta Pramanik ◽  
Saurabh Pal ◽  
Moutan Mukhopadhyay
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Future Market ◽  
Data Generation ◽  
Related Data ◽  
Healthcare Data ◽  
Different Types

Like other fields, the healthcare sector has also been greatly impacted by big data. A huge volume of healthcare data and other related data are being continually generated from diverse sources. Tapping and analysing these data, suitably, would open up new avenues and opportunities for healthcare services. In view of that, this paper aims to present a systematic overview of big data and big data analytics, applicable to modern-day healthcare. Acknowledging the massive upsurge in healthcare data generation, various ‘V's, specific to healthcare big data, are identified. Different types of data analytics, applicable to healthcare, are discussed. Along with presenting the technological backbone of healthcare big data and analytics, the advantages and challenges of healthcare big data are meticulously explained. A brief report on the present and future market of healthcare big data and analytics is also presented. Besides, several applications and use cases are discussed with sufficient details.

Umowy o udzielanie świadczeń opieki zdrowotnej zawierane przez Narodowy Fundusz Zdrowia (leczenie w ramach ubezpieczenia zdrowotnego) a leczenie na zasadach komercyjnych. Implikacje prawne i praktyczne

2021 ◽  
pp. 141-151
Author(s):  
Paweł Lipowski
Keyword(s):  
Health Care ◽  
Health Insurance ◽  
Health Care Providers ◽  
Health Care Services ◽  
Legal Status ◽  
Healthcare Services ◽  
Care Providers ◽  
Care Services ◽  
Public Payer ◽  
Universal Health

The aim of this study is to identify the legal characteristics of contracts for the health care services provided by a public payer, i.e. the National Health Fund (NFZ) as part of treatment covered by universal health insurance, as compared to those provided by the health care providers with public or private legal status. This issue is discussed in relation to the legal conditions for the treatment of patients on a commercial basis in those institutions (private or public) which have contracts for the provision of healthcare services under the general health insurance (so-called contracts). The discussion is presented based on author’s own observations, resulting both from his scientific studies in the field of medical law and his work in various entities operating in the health care system.

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