Evidence map›Paper›PMID 42434200›Full record

ArticleFrontiers in systems biology2026

Integrating clinical knowledge to preserve clinical coherence in health systems.

Lawrence Merle Nelson

Abstract read
In one paragraph

Article in Frontiers in systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Lawrence Merle NelsonMary Elizabeth Conover Foundation, Inc., McLean, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern health systems generate, store, and analyze unprecedented biological information, yet translating it into coherent longitudinal care remains difficult. Fragmentation across encounters, specialties, organizations, and digital systems contributes to delayed diagnosis, inconsistent interpretation, and management misaligned with patients' health-related context. This paper introduces Clinical Coherence as a framework for understanding how clinically meaningful knowledge is integrated and preserved within health systems. Clinical Coherence is defined as the capacity to maintain a consistent representation of a patient's condition over time through integration of biological knowledge, Clinical Phenomenological Data, and interpretive clinical judgment. Clinical Phenomenological Data refers to structured representations of integrated life experiences relevant to health and wellbeing, including symptoms, function, uncertainty, family systems, spiritual or existential concerns, treatment burden, and signals that shape illness perception and management. These forms of knowledge are vulnerable to fragmentation as care becomes distributed across organizational and technological boundaries. Drawing on healthcare quality, continuity of care, patient-centered medicine, Narrative Medicine, complexity science, knowledge management, and clinical governance, Clinical Coherence is conceptualized as an emergent systems property rather than an attribute of an individual clinician, encounter, or technology. Duty of Care Governance is presented as the architecture through which knowledge is preserved through sensing, responsibility, escalation, and feedback. Primary Ovarian Insufficiency serves as a sentinel condition showing how fragmentation across domains can undermine care despite biomedical knowledge. As digital health and artificial intelligence reshape healthcare, Clinical Coherence offers a framework for evaluating whether systems preserve the conditions through which information becomes knowledge and understanding becomes care.

Indexed as

artificial intelligence in healthcareclinical coherenceclinical knowledge integrationclinical phenomenological datacontinuity of careduty of care governancehealth systemsprimary ovarian insufficiency

Identifiers

PMID42434200
PMCPMC13349766

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.