Short answer
When designing healthcare solutions involving data, consider how they fit into the broader ecosystem of public health awareness, stakeholder interactions, operational management, clinical treatment, or service delivery technology.
- Field
- Modelling
- Source
- Enterprise Information Systems (2020)
- Method
- Systematic Literature Review (SLR)
- Sample
- 41 studies
- Evidence
- Moderate effect
Big data analytics in healthcare can be systematically categorized into five key application areas, providing a structured approach to understanding its impact. This modelling research insight is drawn from a 2020 study published in Enterprise Information Systems. Using Systematic literature review (slr) with 41 studies, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing healthcare solutions involving data, consider how they fit into the broader ecosystem of public health awareness, stakeholder interactions, operational management, clinical treatment, or service delivery technology.
Big Data Analytics in Healthcare: A Framework for Understanding Applications
Big data analytics in healthcare can be systematically categorized into five key application areas, providing a structured approach to understanding its impact.
Enterprise Information Systems · 2020
Key Findings
- 01Big data analytics applications in healthcare can be viewed from five distinct perspectives: public health awareness, stakeholder interactions, hospital management, treatment of medical conditions, and technology in service delivery.
- 02The review provides a comprehensive framework for understanding the diverse applications of BDA in healthcare.
Application
Design takeaway
When designing healthcare solutions involving data, consider how they fit into the broader ecosystem of public health awareness, stakeholder interactions, operational management, clinical treatment, or service delivery technology.
How to apply
When conceptualizing a new healthcare technology or service, map its potential BDA applications against the five identified perspectives to ensure comprehensive consideration of its role and impact.
Project actions
- 01When researching a healthcare problem, consider which of the five BDA application areas it best fits into.
- 02Use the framework to brainstorm potential data-driven solutions for a chosen healthcare challenge.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a systematic and comprehensive overview of BDA applications in healthcare.
- +Offers a structured framework that can guide future research and practice.
Limitations
The review is based on published studies, so it might not capture all emerging or proprietary applications of BDA in healthcare.
Reliability & validity
The reliability and validity of the review are based on the systematic methodology employed in selecting and synthesizing the literature. The framework's validity is supported by its ability to encompass diverse applications found in the reviewed studies.
Think critically
How might the rapid evolution of technology and data collection methods in healthcare necessitate an update or expansion of these five application perspectives?
Design Principles
"Structure complex data application domains into a clear, actionable framework to guide design and research efforts."
This structured understanding is crucial for designers and researchers aiming to develop or implement data-driven solutions in healthcare. It helps in identifying specific problem domains and potential areas for innovation, ensuring that technological advancements are aligned with practical needs.
What This Means for Your Design
Big data can be used in healthcare in five main ways: making people more aware of health issues, improving how doctors and patients interact, making hospitals run better, helping to treat illnesses, and using technology to deliver care.
How to use in your project
- 1.Reference this study to justify the chosen application area for your big data healthcare design project.
- 2.Use the five perspectives as a lens to analyze existing healthcare systems and identify design opportunities.
Add to My Project
Quick Cite
Paragraph starter
This research provides a valuable framework for understanding the application of big data analytics in healthcare, categorizing its use into five key perspectives: public health awareness, stakeholder interactions, hospital management, treatment of medical conditions, and technology in healthcare service delivery. This structured approach can inform the development of targeted design solutions within specific healthcare domains.
Source
Enterprise Information Systems
Big data analytics in healthcare: a systematic literature review
journal · 2020
View sourceQuestions About This Research
- What does the research say about big data analytics in healthcare: a framework for understanding applications?
- When designing healthcare solutions involving data, consider how they fit into the broader ecosystem of public health awareness, stakeholder interactions, operational management, clinical treatment, or service delivery technology. Evidence: Enterprise Information Systems (2020).
- Why does "Big Data Analytics in Healthcare: A Framework for Understanding Applications" matter for design?
- This structured understanding is crucial for designers and researchers aiming to develop or implement data-driven solutions in healthcare. It helps in identifying specific problem domains and potential areas for innovation, ensuring that technological advancements are aligned with practical needs.
- How can designers apply this research?
- When designing healthcare solutions involving data, consider how they fit into the broader ecosystem of public health awareness, stakeholder interactions, operational management, clinical treatment, or service delivery technology.
- What were the main findings?
- Big data analytics applications in healthcare can be viewed from five distinct perspectives: public health awareness, stakeholder interactions, hospital management, treatment of medical conditions, and technology in service delivery.. The review provides a comprehensive framework for understanding the diverse applications of BDA in healthcare.
- What research method was used?
- Systematic Literature Review (SLR) with 41 studies.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2020 journal from Enterprise Information Systems.
- What should I do differently in my next project?
- When conceptualizing a new healthcare technology or service, map its potential BDA applications against the five identified perspectives to ensure comprehensive consideration of its role and impact.
- What are the limitations?
- The findings are based on a review of existing literature, and the specific impact or effectiveness of BDA in each category may vary.