Subtopic Deep Dive

Knowledge Management in Healthcare IT Systems
Research Guide

What is Knowledge Management in Healthcare IT Systems?

Knowledge Management in Healthcare IT Systems refers to strategies and technologies for capturing, organizing, and sharing clinical knowledge through electronic health records, ontologies, and decision support systems to protect and leverage proprietary healthcare data as trade secrets.

This subtopic covers data mining, ontologies, and decision support for extracting insights from health data while safeguarding sensitive knowledge. Key studies examine EHR adoption perceptions (Lakbala and Dindarloo, 2014, 61 citations) and implementation challenges (Palvia et al., 2012, 28 citations). Over 10 papers from 2007-2022 analyze sociotechnical factors in healthcare IT.

Curated Papers

Key Challenges

Why It Matters

Knowledge management in healthcare IT enables secure sharing of clinical insights, improving decision-making and efficiency while protecting trade secrets in proprietary systems. Ngusie et al. (2022) show EHR readiness enhances service delivery; Odukoya and Chui (2012) identify e-prescribing design flaws impacting pharmacy workflows. Palvia et al. (2015) highlight provider-vendor conflicts in EHR implementation, critical for hospitals managing sensitive patient data as intellectual assets.

Key Research Challenges

EHR Adoption Resistance

Healthcare providers resist EHR due to usability issues and workflow disruptions. Lakbala and Dindarloo (2014) report negative physician perceptions; Ngusie et al. (2022) find low readiness in pre-implementation phases.

Unintended IT Consequences

Health IT implementations cause safety risks from poor mediation. Novak et al. (2012) emphasize clinician facilitators to mitigate issues. Odukoya and Chui (2012) reveal e-prescribing design weaknesses in pharmacies.

Stakeholder Perspective Conflicts

CEOs, CIOs, providers, and vendors prioritize differently in HIT. Palvia et al. (2012) detail hospital leadership views; Palvia et al. (2015) contrast provider and vendor perspectives on EHR critical issues.

Essential Papers

Physicians’ perception and attitude toward electronic medical record

Parvin Lakbala, Kavoos Dindarloo · 2014 · SpringerPlus · 61 citations

Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase

Habtamu Setegn Ngusie, Sisay Yitayih Kassie, Alex Ayenew Chereka et al. · 2022 · BMC Health Services Research · 55 citations

Abstract Background The adoption of an electronic health record (EHR) in the healthcare system has the potential to make healthcare service delivery effective and efficient by providing accurate, u...

Electronic medical records and health care promotion in Saudi Arabia

Sana A. AlSadrah · 2020 · Saudi Medical Journal · 48 citations

A few decades ago, the government of Saudi Arabia introduced electronic medical records (EMRs) in some health care facilities. However, the progress in adopting these systems on a national level wa...

Retail pharmacy staff perceptions of design strengths and weaknesses of electronic prescribing

Olufunmilola K. Odukoya, Michelle A. Chui · 2012 · Journal of the American Medical Informatics Association · 44 citations

This is the first study to highlight design flaws with e-prescribing in retail pharmacies. The sociotechnical systems framework was useful in providing an indepth understanding of the pharmacist an...

Mediation of adoption and use: a key strategy for mitigating unintended consequences of health IT implementation: Table 1

Laurie L. Novak, Shilo Anders, Cynthia S. Gadd et al. · 2012 · Journal of the American Medical Informatics Association · 36 citations

Institutionally supported clinicians who facilitate adoption and use of health IT systems can improve the safety and effectiveness of implementation through the management of unintended consequence...

Redefining Electronic Health Records (EHR) and Electronic Medical Records (EMR) to Promote Patient Empowerment

Muhammad Anshari · 2019 · IJID (International Journal on Informatics for Development) · 34 citations

A successful healthcare organization exists when it provides good quality service. Powered by technological changes like big data, cloud computing, and Internet of Things, healthcare information is...

Cultural orientations and information systems success in public and private hospitals: preliminary evidences from Italy

Luigi Lepore, Concetta Metallo, Francesco Schiavone et al. · 2018 · BMC Health Services Research · 30 citations

Reading Guide

Foundational Papers

Start with Lakbala and Dindarloo (2014) for physician attitudes; Odukoya and Chui (2012) for e-prescribing design; Palvia et al. (2012) for CEO/CIO perspectives to build core understanding of IT challenges.

Recent Advances

Study Ngusie et al. (2022) for EHR readiness; Anshari (2019) for patient-empowered records; Palvia et al. (2015) for provider-vendor views.

Core Methods

Sociotechnical systems analysis (Odukoya and Chui, 2012); stakeholder theory (Palvia et al., 2015); mediation strategies (Novak et al., 2012).

How PapersFlow Helps You Research Knowledge Management in Healthcare IT Systems

Discover & Search

Research Agent uses searchPapers and citationGraph to map EHR adoption literature from Lakbala and Dindarloo (2014), revealing clusters around physician perceptions; exaSearch uncovers ontology-based knowledge systems, while findSimilarPapers extends to Wickramasinghe et al. (2007) for m-health parallels.

Analyze & Verify

Analysis Agent applies readPaperContent to extract readiness metrics from Ngusie et al. (2022), verifies claims with CoVe against Palvia et al. (2012), and runs PythonAnalysis on citation data for statistical trends; GRADE grading assesses evidence strength in adoption studies.

Synthesize & Write

Synthesis Agent detects gaps in stakeholder mediation from Novak et al. (2012); Writing Agent uses latexEditText, latexSyncCitations for EHR review papers, and latexCompile to generate formatted manuscripts with exportMermaid for workflow diagrams.

Use Cases

"Analyze citation trends in EHR adoption resistance papers"

Research Agent → searchPapers('EHR adoption healthcare') → Analysis Agent → runPythonAnalysis(pandas on citations from Lakbala 2014, Ngusie 2022) → matplotlib trend plot exported as CSV.

"Draft LaTeX review on pharmacy e-prescribing flaws"

Research Agent → findSimilarPapers(Odukoya 2012) → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → polished PDF with diagrams.

"Find GitHub repos for healthcare ontology code"

Research Agent → searchPapers('healthcare ontology knowledge management') → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → verified implementation examples.

Automated Workflows

Deep Research workflow conducts systematic review of 50+ EHR papers, chaining searchPapers → citationGraph → GRADE grading for structured reports on knowledge management gaps. DeepScan applies 7-step analysis with CoVe checkpoints to verify claims in Palvia et al. (2015). Theorizer generates theories on trade secret protection via ontologies from Wickramasinghe et al. (2007).

Try Doxa for Knowledge Management in Healthcare IT Systems Research

Frequently Asked Questions

What defines Knowledge Management in Healthcare IT Systems?

It involves strategies for capturing and sharing clinical knowledge via EHRs and decision support while protecting proprietary data as trade secrets.

What methods improve EHR adoption?

Sociotechnical frameworks address design flaws (Odukoya and Chui, 2012); mediation by clinicians mitigates consequences (Novak et al., 2012).

What are key papers?

Lakbala and Dindarloo (2014, 61 citations) on physician perceptions; Ngusie et al. (2022, 55 citations) on readiness; Palvia et al. (2012, 28 citations) on HIT issues.