Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development

Gray, Kathleen; Sockolow, Paulina S.

doi:10.2196/medinform.5021

Cited by 19 publications

(13 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Figure 3 shows the relationship among these 5 domains and how they might be leveraged to provide a risk stratification of global health data partnerships. This type of conceptual framework has been leveraged to address various issues in informatics, such as the development of global health networks, patient safety, and conceptual models for research [ 89 - 91 ]. The value of these conceptual frameworks is in laying out all the components of a given issue, exploring their interrelationships, and identifying the emerging complexity [ 92 ].…”

Section: Resultsmentioning

confidence: 99%

Assessing Health Data Security Risks in Global Health Partnerships: Development of a Conceptual Framework

Espinoza¹,

Sikder²,

Dickhoner³

et al. 2021

JMIR Form Res

View full text Add to dashboard Cite

Background Health care databases contain a wealth of information that can be used to develop programs and mature health care systems. There is concern that the sensitive nature of health data (eg, ethnicity, reproductive health, sexually transmitted infections, and lifestyle information) can have significant impact on individuals if misused, particularly among vulnerable and marginalized populations. As academic institutions, nongovernmental organizations, and international agencies begin to collaborate with low- and middle-income countries to develop and deploy health information technology (HIT), it is important to understand the technical and practical security implications of these initiatives. Objective Our aim is to develop a conceptual framework for risk stratification of global health data partnerships and HIT projects. In addition to identifying key conceptual domains, we map each domain to a variety of publicly available indices that could be used to inform a quantitative model. Methods We conducted an overview of the literature to identify relevant publications, position statements, white papers, and reports. The research team reviewed all sources and used the framework method and conceptual framework analysis to name and categorize key concepts, integrate them into domains, and synthesize them into an overarching conceptual framework. Once key domains were identified, public international data sources were searched for relevant structured indices to generate quantitative counterparts. Results We identified 5 key domains to inform our conceptual framework: State of HIT, Economics of Health Care, Demographics and Equity, Societal Freedom and Safety, and Partnership and Trust. Each of these domains was mapped to a number of structured indices. Conclusions There is a complex relationship among the legal, economic, and social domains of health care, which affects the state of HIT in low- and middle-income countries and associated data security risks. The strength of partnership and trust among collaborating organizations is an important moderating factor. Additional work is needed to formalize the assessment of partnership and trust and to develop a quantitative model of the conceptual framework that can help support organizational decision-making.

show abstract

Section: Resultsmentioning

confidence: 99%

Assessing Health Data Security Risks in Global Health Partnerships: Development of a Conceptual Framework

Espinoza¹,

Sikder²,

Dickhoner³

et al. 2021

JMIR Form Res

View full text Add to dashboard Cite

show abstract

“…In the present review Net Benefits refer to barriers and facilitators of ICF use in EHRs. The HOT-fit framework builds upon knowledge based on health and information sciences [27] and has been recommended and recently used for evaluation of health information systems [28][29][30][31][32]. Information relevant to the use of the ICF in an EHR system was extracted and categorized according to the HOT-fit framework using an Excel® spreadsheet.…”

Section: Information Extraction and Descriptive Synthesis Of Resultsmentioning

confidence: 99%

The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records

Maritz¹,

Aronsky²,

Prodinger³

2017

Appl Clin Inform

View full text Add to dashboard Cite

Different approaches and technical solutions exist for integrating the ICF in EHRs, such as combining the ICF with other existing standards for EHR or selecting ICF codes with natural language processing. Though the use of the ICF in EHRs is beneficial as this review revealed, the ICF could profit from further improvements such as formalizing the knowledge representation in the ICF to support and enhance interoperability.Citation: Maritz R, Aronsky D, Prodinger B. The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records. Appl Clin Inform 2017; 8: 964-980 https://doi.org/10.4338/ACI-2017050078.

show abstract

“…If we are to generate new knowledge in health informatics, the methodology used in a study must show how concepts from health sciences are integrated with concepts from information sciences. So far, exemplars of these integrative conceptual models or frameworks have been sporadic [70]. Instead, there have been many attempts to implement conceptual models from information and communication technologies in the health sector, with little success in many cases.…”

Section: Which Methodological or Technical Approaches Are Insufficienmentioning

confidence: 99%

Untitled

2017

Methods Inf Med

View full text Add to dashboard Cite

SummaryBackground: Medical informatics, or biomedical and health informatics (BMHI), has become an established scientific discipline. In all such disciplines there is a certain inertia to persist in focusing on well-established research areas and to hold on to well-known research methodologies rather than adopting new ones, which may be more appropriate. Objectives:To search for answers to the following questions: What are research fields in informatics, which are not being currently adequately addressed, and which methodological approaches might be insufficiently used? Do we know about reasons? What could be consequences of change for research and for education? Methods: Outstanding informatics scientists were invited to three panel sessions on this topic in leading international conferences (MIE 2015, Medinfo 2015, HEC 2016 in order to get their answers to these questions. Results:A variety of themes emerged in the set of answers provided by the panellists. Some panellists took the theoretical foundations of the field for granted, while several questioned whether the field was actually grounded in a strong theoretical foundation. Panellists proposed a range of suggestions for new or improved approaches, methodologies, and techniques to enhance the BMHI research agenda. Conclusions:The field of BMHI is on the one hand maturing as an academic community and intellectual endeavour. On the other hand vendor-supplied solutions may be too readily and uncritically accepted in health care practice. There is a high chance that BMHI will continue to flourish as an important discipline; its innovative interventions might then reach the original objectives of advancing science and improving health care outcomes.

show abstract

Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development

Cited by 19 publications

References 47 publications

Assessing Health Data Security Risks in Global Health Partnerships: Development of a Conceptual Framework

Assessing Health Data Security Risks in Global Health Partnerships: Development of a Conceptual Framework

The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records

Untitled

Contact Info

Product

Resources

About