Design scoping review methodology to map research on blockchain in healthcare. Help me: 1) Develop broad research question, 2) Create comprehensive search strategy across databases, 3) Design charting form for data extraction, 4) Plan visual synthesis (concept maps), 5) Identify knowledge gaps for future research

Prompt
Design scoping review methodology to map research on blockchain in healthcare. Help me: 1) Develop broad research question, 2) Create comprehensive search strategy across databases, 3) Design charting form for data extraction, 4) Plan visual synthesis (concept maps), 5) Identify knowledge gaps for future research
ClaudeAnthropic
Design scoping review methodology to map research on blockchain in healthcare. Help me: 1) Develop broad research question, 2) Create comprehensive search strategy across databases, 3) Design charting form for data extraction, 4) Plan visual synthesis (concept maps), 5) Identify knowledge gaps for future research

Scoping Review Methodology: Blockchain in Healthcare

1) Broad Research Question

Primary Question


"What is the nature, extent, and range of research evidence on blockchain technology applications in healthcare?"

PCC Framework (Population-Concept-Context)


  • Population: Healthcare stakeholders (patients, providers, administrators, policymakers)

  • Concept: Blockchain technology and distributed ledger technologies

  • Context: Healthcare settings, systems, and applications


Sub-questions


  • What healthcare domains have explored blockchain applications?

  • What are the reported benefits and challenges of blockchain in healthcare?

  • What methodological approaches have been used to study blockchain in healthcare?

  • What are the current and proposed use cases?

  • What implementation barriers and facilitators have been identified?



2) Comprehensive Search Strategy

A. Keywords and Search Terms

Blockchain Terms:

  • Blockchain

  • "Distributed ledger*"

  • DLT

  • "Smart contract*"

  • Cryptocurrency

  • Bitcoin

  • Ethereum

  • "Decentralized system*"

  • "Consensus mechanism*"

  • Hyperledger


Healthcare Terms:
  • Health*

  • Medical

  • Clinical

  • Hospital*

  • Patient*

  • "Electronic health record*"

  • "EHR"

  • "EMR"

  • "Personal health record*"

  • Pharmaceutical

  • Medicine

  • Telemedicine

  • Diagnosis

  • Treatment

  • "Health information"

  • "Medical record*"

  • "Healthcare delivery"


B. Database Search Strategy

Primary Databases:

  • PubMed/MEDLINE

  • Scopus

  • Web of Science

  • IEEE Xplore

  • ACM Digital Library

  • CINAHL

  • Embase


Grey Literature Sources:
  • Google Scholar (first 200 results)

  • ProQuest Dissertations & Theses

  • ArXiv

  • MedRxiv

  • Conference proceedings (IEEE, ACM, AMIA)

  • Government/regulatory websites (FDA, WHO, CDC)

  • Healthcare blockchain consortia websites


C. Sample Search String (PubMed)

(blockchain[Title/Abstract] OR "distributed ledger"[Title/Abstract] OR 
"distributed ledgers"[Title/Abstract] OR DLT[Title/Abstract] OR
"smart contract"[Title/Abstract] OR "smart contracts"[Title/Abstract])

AND

(health*[Title/Abstract] OR medical[Title/Abstract] OR
clinical[Title/Abstract] OR patient*[Title/Abstract] OR
hospital*[Title/Abstract] OR "electronic health record*"[Title/Abstract] OR
EHR[Title/Abstract] OR EMR[Title/Abstract] OR pharmaceutical[Title/Abstract] OR
medicine[Title/Abstract] OR healthcare[Title/Abstract])

D. Inclusion/Exclusion Criteria

Inclusion:

  • Published 2008-present (Bitcoin whitepaper: 2008)

  • English language

  • Peer-reviewed articles, conference papers, grey literature

  • Focus on blockchain/DLT in healthcare contexts

  • All study designs

  • Theoretical, empirical, or implementation studies


Exclusion:
  • Not related to healthcare

  • Purely technical blockchain papers without healthcare application

  • Opinion pieces without substantive analysis

  • Duplicate publications

  • Non-English without available translation



3) Data Charting Form

Bibliometric Data


FieldDescription
Reference IDUnique identifier
AuthorsFull author list
YearPublication year
TitleFull title
SourceJournal/Conference name
CountryCountry of first author
FundingFunding source(s)

Study Characteristics

FieldOptions/Description
Study Type□ Empirical research
□ Conceptual/theoretical
□ Review
□ Case study
□ Pilot/proof-of-concept
□ Implementation study
□ Framework/architecture design
Methodology
□ Qualitative
□ Quantitative
□ Mixed methods
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MistralMistral AI
Design scoping review methodology to map research on blockchain in healthcare. Help me: 1) Develop broad research question, 2) Create comprehensive search strategy across databases, 3) Design charting form for data extraction, 4) Plan visual synthesis (concept maps), 5) Identify knowledge gaps for future research

Certainly! Conducting a scoping review to map research on blockchain in healthcare involves several key steps. Here’s a detailed methodology to guide you through the process:

1. Develop Broad Research Question


A broad research question helps to define the scope of your review. For blockchain in healthcare, a suitable question might be:

"What is the current state of research on the application of blockchain technology in healthcare, including its benefits, challenges, and future directions?"

2. Create Comprehensive Search Strategy Across Databases


A comprehensive search strategy ensures that you capture all relevant literature. Here’s a step-by-step approach:

a. Identify Key Databases


  • PubMed/MEDLINE

  • Web of Science

  • Scopus

  • IEEE Xplore

  • Google Scholar

  • Cochrane Library

  • Embase


b. Develop Search Terms


Use a combination of keywords and controlled vocabulary (e.g., MeSH terms in PubMed).

Keywords:

  • Blockchain

  • Distributed ledger technology

  • Healthcare

  • Medical records

  • Electronic health records

  • Health information exchange

  • Health data management

  • Smart contracts

  • Healthcare supply chain

  • Telemedicine


Example Search Strategy for PubMed:
("blockchain"[MeSH Terms] OR "blockchain"[All Fields] OR "distributed ledger technology"[All Fields]) AND ("healthcare"[MeSH Terms] OR "healthcare"[All Fields] OR "medical records"[All Fields] OR "electronic health records"[All Fields] OR "health information exchange"[All Fields] OR "health data management"[All Fields] OR "smart contracts"[All Fields] OR "healthcare supply chain"[All Fields] OR "telemedicine"[All Fields])

c. Apply Filters


  • Publication Date: Last 10 years (to capture recent developments)

  • Language: English

  • Document Type: Articles, reviews, conference papers, etc.


3. Design Charting Form for Data Extraction


A charting form helps to systematically extract relevant data from the selected studies. Here’s a sample charting form:

CategoryDetails
Study IdentificationAuthor(s), Year, Title, Journal/Conference
Study DesignType of study (e.g., empirical, review, case study)
Blockchain ApplicationSpecific application area (e.g., medical records, supply chain)
Technology UsedType of blockchain (e.g., public, private, consortium)
BenefitsReported benefits (e.g., security, transparency, efficiency)
ChallengesReported challenges (e.g., scalability, interoperability, regulatory)
OutcomesKey findings or outcomes
Future DirectionsSuggestions for future research or implementation
Geographical ScopeCountry or region of study
Additional NotesAny other relevant information

4. Plan Visual Synthesis (Concept Maps)


Concept maps help to visually represent the relationships between different aspects of the research. Here’s how you can plan it:

a. Identify Key Concepts


  • Blockchain Technology

  • Healthcare Applications

  • Benefits

  • Challenges

  • Future Directions


b. Create Nodes and Links


  • Nodes: Represent key concepts (e.g., blockchain, medical records, security)

  • Links: Represent relationships between nodes (e.g., blockchain enhances security of medical records)


c. Use Software Tools


  • MindMeister

  • CmapTools

  • Lucidchart


5. Identify Knowledge Gaps for Future Research


Identifying knowledge gaps involves analyzing the extracted data to find areas that are under-researched or need further exploration. Here’s how you can do it:

a. Analyze Extracted Data


  • Frequency Analysis: Identify the most and least researched areas.

  • Thematic Analysis: Group similar findings and identify emerging themes.


b. Identify Gaps


  • Under-Researched Areas: Topics with limited studies.

  • Emerging Trends: New areas that are starting to gain attention.

  • Methodological Gaps: Limitations in current research methods.


c. Formulate Future Research Questions


  • Example Questions:

  • What are the long-term impacts of blockchain implementation in healthcare?

  • How can blockchain technology be integrated with existing healthcare systems?

  • What are the ethical considerations in using blockchain for healthcare data management?


By following this methodology, you can effectively map the current state of research on blockchain in healthcare and identify areas for future investigation.

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Analysis

This comparison demonstrates the different approaches each AI model takes when responding to the same prompt. Here are the key differences observed:

Response Characteristics

Claude: Provides a detailed response with 29 sentences.

Mistral: Provides a detailed response with 49 sentences.

Key Takeaways

  • Each model brings unique strengths to this type of query
  • Response styles vary significantly between models
  • Consider your specific use case when choosing between these models

Try This Comparison Yourself

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This comparison was generated using the SNEOS AI Comparison ToolPublished: October 15, 2025 | Models: Claude, Mistral