Esther PWA Talboom-Kamp

Board member NeLL & Associate professor

Utrecht University

Netherlands

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About

Esther PWA Talboom-Kamp is an Associate Professor at Universiteit Leiden in the Netherlands. Her research focuses on digital transformation in healthcare, particularly in the implementation of eHealth solutions and self-management services. Recent articles include studies on the usability of digital diagnostic tools and the integration of eHealth into hospital care. She also serves as a board member for NeLL, contributing her expertise to advancements in healthcare technology.

Articles (10)

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2025

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2025

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2024

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2024

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2024

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2023

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2022

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2022

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NETHERLANDS

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Esther PWA Talboom-Kamp

Research Interests

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Articles (10)

Best Practices in Organizing Digital Transformation: Qualitative Case Study in Dutch Hospital Care

Addressing pilotitis: A qualitative study on the implementation of eCoaches in hospital-based chronic care

Facilitators of and Barriers to the Use of a Digital Self-Management Service for Diagnostic Testing: Focus Group Study With Potential Users

Digital Triage Tools for Sexually Transmitted Infection Testing Compared With General Practitioners’ Advice: Vignette-Based Qualitative Study With Interviews Among General Practitioners

Quantifying sampling method-induced imprecision in user-friendly lateral upper arm blood collection: Introducing σ<sup>3</sup>-methodology (S3) for the verification of alternative sampling methods with TAP® II as a use case.

The Usability of Homelab, a Digital Self-service at a Dutch General Practice, for Diagnostic Tests: Pilot Study With a Questionnaire

Development of a Quality Management Model and Self-assessment Questionnaire for Hybrid Health Care: Concept Mapping Study

Direct Access for Patients to Diagnostic Testing and Results Using eHealth: Systematic Review on eHealth and Diagnostics

The Impact of Patient Characteristics on Their Attitudes Toward an Online Patient Portal for Communicating Laboratory Test Results: Real-World Study

The Challenge of Integrating eHealth Into Health Care: Systematic Literature Review of the Donabedian Model of Structure, Process, and Outcome

Collaborators (6)

Laura Hochstenbach

Marieke Spreeuwenberg

Marise Kasteleyn

Maarten Kok

Niels Henrik Chavannes

Anke Versluis

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Esther PWA Talboom-Kamp

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Best Practices in Organizing Digital Transformation: Qualitative Case Study in Dutch Hospital Care

Addressing pilotitis: A qualitative study on the implementation of eCoaches in hospital-based chronic care

Facilitators of and Barriers to the Use of a Digital Self-Management Service for Diagnostic Testing: Focus Group Study With Potential Users

Digital Triage Tools for Sexually Transmitted Infection Testing Compared With General Practitioners’ Advice: Vignette-Based Qualitative Study With Interviews Among General Practitioners

Quantifying sampling method-induced imprecision in user-friendly lateral upper arm blood collection: Introducing σ&lt;sup&gt;3&lt;/sup&gt;-methodology (S3) for the verification of alternative sampling methods with TAP® II as a use case.

The Usability of Homelab, a Digital Self-service at a Dutch General Practice, for Diagnostic Tests: Pilot Study With a Questionnaire

Development of a Quality Management Model and Self-assessment Questionnaire for Hybrid Health Care: Concept Mapping Study

Direct Access for Patients to Diagnostic Testing and Results Using eHealth: Systematic Review on eHealth and Diagnostics

The Impact of Patient Characteristics on Their Attitudes Toward an Online Patient Portal for Communicating Laboratory Test Results: Real-World Study

The Challenge of Integrating eHealth Into Health Care: Systematic Literature Review of the Donabedian Model of Structure, Process, and Outcome

Collaborators (6)

Laura Hochstenbach

Marieke Spreeuwenberg

Marise Kasteleyn

Maarten Kok

Niels Henrik Chavannes

Anke Versluis

Make your next move.

Quantifying sampling method-induced imprecision in user-friendly lateral upper arm blood collection: Introducing σ<sup>3</sup>-methodology (S3) for the verification of alternative sampling methods with TAP® II as a use case.