Health information systems evaluation frameworks: A systematic review

Andargoli, Amirhossein Eslami; Scheepers, Helana; Rajendran, Diana; Sohal, Amrik S.

doi:10.1016/j.ijmedinf.2016.10.008

Cited by 105 publications

(74 citation statements)

References 58 publications

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“…Another rationale for evaluating software is to ensure awareness and detect deficiency [29]. Thus, many computer systems undergo evaluation process [15]. Within the computing environment, there are various models and techniques for conducting evaluation of software and approaches.…”

Section: Evaluation Models and Techniquesmentioning

confidence: 99%

“…Because of the variation of the big data analysis tools, some organisations have a challenge in selecting the most appropriate application for analysis [13]. There are some models, but they only focus on the evaluation of [14,15]. As at the time of this research, the only study that focuses on evaluation of BDA tools, Hadoop, Spark, and Flink is from performance perspective [16].…”

Section: Introductionmentioning

confidence: 99%

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A Model for Evaluating Big Data Analytics Tools for Organisation Purposes

Kangelani¹,

Iyamu²

2020

Lecture Notes in Computer Science

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Big data analytics tools have many functions that are common or similar to one another. This is a problem for many organisations that are either interested or have deployed some of the tools. The problem arises because there is no mechanism on how to determine appropriateness of the tools within context in an environment. Some of the implications of the problem are that it is difficult to assess appropriateness of the tools in an environment, which sometimes result to duplication; and the value of the tools. The aim of this project was to propose a solution through a model that can be used to evaluate big data analytics tools for organisations' benefits. The qualitative method, case study approach and semi-structured interview technique were applied in the study. From the analysis, the role of criteria, business and IT alignment, governance, and skill-sets were revealed as critical factors. Based on the factors, a model was developed, which can be used as a building block through which evaluation of big data analytics tools in an organisation is carried out.

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Section: Evaluation Models and Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Model for Evaluating Big Data Analytics Tools for Organisation Purposes

Kangelani¹,

Iyamu²

2020

Lecture Notes in Computer Science

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“…The design and implementation of health information systems goes beyond the technical aspects [3] of the system and can incur, “unforeseen costs, unfulfilled promises, and disillusionment (Anderson & Aydin 2005, page vii)” [4]. In one conceptual model the technical aspects, design and implementation consequences of a management information system (MIS) are assumed to be within the control of a single organisation, with MIS design responsive to the information needs of that organisation and its management [4].…”

Section: Introductionmentioning

confidence: 99%

“…Different evaluation methodologies can be used to examine MIS design and implementation including surveys, observational methods and qualitative interviews [3]. In this study we used qualitative research and individual interviews to investigate the perspectives of stakeholders, who had a range of relevant roles and experience, on the design and use of MIS in delivery and evaluation of behavioural interventions to improve health.…”

Section: Introductionmentioning

confidence: 99%

Management information systems for community based interventions to improve health: qualitative study of stakeholder perspectives

et al. 2019

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BackgroundCommunity based providers are well place to deliver behavioural interventions to improve health. Good project management and reliable outcome data are needed to efficiently deliver and evaluate such interventions, and Management information systems (MIS) can facilitate these processes. We explored stakeholders perspectives on the use of MIS in community based behavioural interventions.MethodsStakeholders, purposively selected to provide a range of MIS experience in the delivery of community based behavioural interventions to improve health (public health commissioners, intervention service managers, project officers, health researchers and MIS designers), were invited to participate in individual semi-structured interviews. We used a topic guide and encouraged stakeholders to reflect on their experiences.: Interviews were recorded, transcribed and analysed using five steps of Framework analysis. We applied an agreed coding framework and completed the interviews when no new themes emerged.ResultsWe interviewed 15 stakeholders. Key themes identified were: (i) MIS access; (ii) data and its function; (iii) MIS development and updating. Within these themes the different experiences, needs, use, training and expertise of stakeholders and the variation and potential of MIS were evidenced. Interviews advised the need to involve stakeholders in MIS design and development, build-in flexibility to accommodate MIS refinement and build on effective MIS.ConclusionsFindings advised involving stakeholders, early in the design process. Designs should build on existing MIS of proven utility and ensure flexibility in the design, to incorporate adaptations and ongoing system development in response to early MIS use and evolving stakeholder needs.Electronic supplementary materialThe online version of this article (10.1186/s12889-018-6363-z) contains supplementary material, which is available to authorized users.

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“…A more meaningful evaluation strategy is to embrace a holistic view of the type that has been proposed for health information systems (HIS) design evaluation (Andargoli, Scheepers, Rajendran, & Sohal, 2017). Accordingly, we suggest that the integral evaluation of the VR-based cognitive intervention design should be conducted in an interpretive manner, guided by the following fundamental questions:…”

Section: Evaluation Phasementioning

confidence: 99%

A methodological framework for exploring the applicability of virtual reality in cognitive disabilities care

Betances¹,

Isabel²

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There is always going to be a reason why you can't do something, your job is toconstantly look for the reasons why you can achieve your dreams. Shannon Miller -7x Olympic Gymnast medallist AcknowledgmentsI would like to firstly express my sincere gratitude to my advisor ProfessorMaría Teresa Arredondo Waldmeyer for her continuous support of my PhD studies and related research, and for her inspiration, tenacity, and immense knowledge.In addition to my advisor, I thank Prof. María Fernanda Cabrera-Umpiérrez and Prof. Francisco J. García-Sánchez, not only for their insightful commentaries and supportive encouragement, but also for the helpful suggestions and revision recommendations which motivated me to extend the scope of my research work to wider perspectives.I also thank my former colleagues and present fellow teammates at LifeSTech for the stimulating discussions, help and advice, as well as for the interesting times we shared working and learning together at several projects during the last years.Last but not least, I thank my family and friends for supporting all my life goals and purposes, and for the patience shown while I was writing this thesis.ix AbstractHandling the care needs of people affected by Alzheimer's disease and related dementias (ADRD) represents nowadays a personal, familial and social challenge of enormous proportions, which poses an ever growing human and economic burden on the world's society in general. Information and communication technologies (ICT) have the potential to make a considerable impact to help revert this trend, especially through the use of advanced virtual reality (VR)-based computerized diagnostic and therapeutic cognitive interventions for people living with, or at risk of developing,ADRD. This doctoral thesis aims to facilitate the use of such VR-based interventions.To that end, it makes specific original contributions regarding: the categorization of VR systems particularly designed for ADRD; an analysis and assessment of the current relevance and impact of the 'brain training debate' involving commercial brain training products; an up-to-date critical description of the technical and scientific challenges faced today for the development of effective VR-based cognitive training tools; and finally, this thesis proposes a novel methodological design framework to provide guidance to researchers and developers with the design process of VR-based tools to address the care needs of people with ADRD. The framework is based on our previous critical analysis of the most recent knowledge available about VR cognitive interventions. The framework and its ensuing roadmap take into account, not only universal design principles, standard techniques and methodologies, but also addresses the specific aspects of accessibility and usability that are particular to the use VR-based platforms on patients with ADRD-associated cognitive impairments.x xi ResumenEl manejo de las necesidades de atención de las personas afectadas por la enfermedad de Alzheimer y demencias relacionadas (EADR)...

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Health information systems evaluation frameworks: A systematic review

Cited by 105 publications

References 58 publications

A Model for Evaluating Big Data Analytics Tools for Organisation Purposes

A Model for Evaluating Big Data Analytics Tools for Organisation Purposes

Management information systems for community based interventions to improve health: qualitative study of stakeholder perspectives

A methodological framework for exploring the applicability of virtual reality in cognitive disabilities care

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