Conceptual image illustrating the divide between bench research and bedside application in medical informatics.

Bench to Bedside: Why Medical Research Needs a Rethink

"Is the gap between theory and practice in medical informatics holding back progress?"


The field of medical informatics aims to bridge the gap between research and practical application in healthcare. Two articles by Lehmann and Haux examined whether the journal Applied Clinical Informatics (ACI) has successfully translated theoretical work from Methods of Information in Medicine (MIM) into practical improvements in hospitals and clinics.

However, a closer look at the methodologies used to evaluate this translation reveals potential flaws. The comparison of publication years between MIM and ACI may not accurately capture the time lag between theoretical development and practical implementation.

This article delves into the limitations of current research approaches and emphasizes the need for a more comprehensive strategy that considers the sequential relationship between theory and practice, as well as the critical role of collaboration with software vendors in the field of medical informatics.

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Closing the Research-to-Practice Gap

A 2024 article describes a gap between research findings and clinical practice and introduces translational and implementation science as ways to address it. It outlines implementation-science principles and practices that can be applied across the translational continuum, including in clinical-trial research, to inform practice and improve population health. A separate 2026 methodological review examined mixed-methods designs in applied clinical informatics intervention studies, noting that their use in this area remains largely unexplored. Together, these sources point to both the challenge of translating findings and the need to examine how informatics interventions are evaluated and reported.

A Third Gap in Healthcare Knowledge

A paper on translational science and evidence-based healthcare proposes reconceptualizing how knowledge is generated and used in healthcare. It brings together evidence-based healthcare and translation science, described as two dominant ideas in modern healthcare. The authors also argue that a third fundamental gap is rarely addressed: the gap between knowledge need and discovery. This framing broadens the question beyond moving existing research into care to include how research responds to what healthcare needs to know.

The Problem with Parallel Timelines

Conceptual image illustrating the divide between bench research and bedside application in medical informatics.

Lehmann and Haux's initial editorial suggests a chronological order between theory and its application. They point out that discoveries in gene therapy research are still far from practical use, the implementation of concepts into bedside systems is slow, and it takes a long time to bring discoveries from the "bench" to the "bedside."

The concept of a "pipeline" further emphasizes a sequence between research and practice. Significant advances require basic science, clinical observation (“practice”), insights from neurobiology, and time to translate into real-world applications. The current methodology of comparing parallel timelines fails to account for this inherent delay.

  • Theoretical insights need time to translate into practice.
  • Practical observations can take time to inform and reshape theory.
  • The current research approach overlooks the sequential relationship between theory and application.
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Complex Diseases and Research-System Limits

One account of translational medicine argues that basic-science advances have sometimes relied on oversimplified assumptions that fail to match the etiological complexity of common diseases. It also identifies poor research practices, overt biases, and conflicts of interest in clinical science as possible contributors to translation difficulties. A systematic review of scientists' perspectives notes that its included studies were dominated by Western countries, in part because the review required English-language publication and because translational research is important in Anglo-American biomedical audit and funding cultures. These observations suggest that both research quality and the contexts represented in the evidence base warrant scrutiny.

To accurately assess the impact of theoretical work, a new study should compare MIM editions from 2010-2011 with ACI editions from 2015-2016, allowing sufficient time for theoretical insights to manifest in practical applications.

The Vendor Factor: A Critical Piece of the Puzzle

Medical informatics differs from traditional medical research in one key aspect: the crucial role of commercial software vendors. Many areas, such as clinical information systems and health IT training, require collaboration with software developers.

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Interdisciplinary Translation, Supported by Informatics

A 2022 review describes translational research as an effort to accelerate implementation of scientific findings. It says the work encourages cooperation between laboratory and clinical researchers, addresses community needs, and promotes optimal medical and healthcare practices. The Translational Informatics Research and Innovation Lab describes using biomedical informatics and biomedical data science to address how technology and digital approaches can be incorporated into translational research, precision medicine, and precision public health. A 2025 article likewise examines translational informatics' role in closing the gap between research findings and clinical practice, with the stated aim of improving patient care and new-treatment development.

Infrastructure, Implementation, and Equity

A case study of the Translational Health Informatics Support Service reports lessons about translational benefits, challenges, and facilitators. It describes a support service that integrates informatics practices in clinical research and contributes to health-equity improvement. A 2022 Frontiers article on translational research in health technologies sets out objectives to systematize studies of medical-device translation, map implementation challenges, inform institutional strategies, and support public-policy formulation. Together, these sources frame translation as involving not only research findings but also support services, implementation conditions, institutional strategy, and policy.

The software used in healthcare settings are primarily developed by private companies, not academic institutions. These smaller vendors often lack the resources needed to effectively integrate research findings into their products. If the flow of information between researchers and developers is broken, progress will be slow.

Future studies must consider the institutional affiliations of authors and encourage vendors to participate in collaborative research. By fostering partnerships between researchers, clinicians, and vendors, the field can accelerate the translation of theoretical insights into practical solutions.

About this Article -

Written with AI assistance from published research, and reviewed by the Mystum team. See our About page for more information.

This article is based on research published under:

DOI-LINK: 10.3414/me15-04-0001, Alternate LINK

Title: Insufficient Evidence For Changing Editorial Policy

Subject: Health Information Management

Journal: Methods of Information in Medicine

Publisher: Georg Thieme Verlag KG

Authors: W. B. Lindemann

Published: 2015-01-01

Everything You Need To Know

1

What is medical informatics?

Medical informatics aims to connect research and practical use in healthcare, seeking to improve patient care using technology and information. It involves leveraging data, information systems, and technologies to support clinical decision-making, enhance efficiency, and improve the overall quality of healthcare. The field emphasizes applying informatics principles to solve challenges in medicine, contributing to better patient outcomes and more effective healthcare delivery.

2

Why are the current methods of research evaluation in medical informatics considered flawed?

The comparison of publication years between Methods of Information in Medicine (MIM) and Applied Clinical Informatics (ACI) may not accurately capture the time delay between theoretical development and practical implementation. The current approach of comparing parallel timelines overlooks the sequential relationship between theory and application. This means the current research methods might incorrectly assess the impact of theoretical work on practical advancements in healthcare, potentially leading to an inaccurate evaluation of progress and missed opportunities for improvement.

3

What is the significance of the 'pipeline' concept in the context of medical informatics?

The concept of a 'pipeline' is crucial in medical informatics because it represents the sequential process through which research findings are translated into practical applications. This pipeline includes stages from basic science and clinical observation to real-world applications. Significant advances require time to translate from the bench to the bedside, underscoring the importance of a structured approach. Understanding the 'pipeline' emphasizes the need for a comprehensive strategy considering the time lag between theoretical work and practical implementation.

4

Why is collaboration with software vendors so crucial in medical informatics?

Collaboration with commercial software vendors is essential because clinical information systems and health IT training often depend on their expertise. This collaboration is vital as the implementation of theoretical advancements often involves integrating new concepts into existing software and systems. Vendor involvement ensures that innovations are practically applicable and can be effectively utilized in healthcare settings. Without this collaboration, the translation of research into practice could be significantly hindered.

5

How can the impact of theoretical work be more accurately assessed?

To better assess the impact of theoretical work, a new study should compare Methods of Information in Medicine (MIM) editions from 2010-2011 with Applied Clinical Informatics (ACI) editions from 2015-2016. This approach allows sufficient time for theoretical insights to manifest in practical applications. Such a comparison helps researchers accurately evaluate the effectiveness of translating theoretical advancements into real-world healthcare improvements, supporting better-informed decisions and resource allocation.

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