Evidence map›Paper›PMID 39570396›Full record

ReviewPathologie (Heidelberg, Germany)2024

Key considerations when implementing new diagnostic technologies in routine practice.

Jochen Lennerz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pathologie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Jochen LennerzBostonGene, University Office Park III, 95 Sawyer Road, Suite 500, 02453, Waltham, MA, USA. Joe.Lennerz@bostongene.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe field of pathology is evolving with the integration of advanced and artificial-intelligence-powered diagnostic technologies. However, there remains a significant gap in clearly outlining the key considerations for the effective implementation of these innovations into clinical care.

objectivesThe aim of this review was to identify and address the essential aspects required to bridge the implementation gap of new diagnostic technologies in pathology. MATERIAL AND

methodsThis review synthesizes key elements from relevant scientific journals, organizational websites, and practical examples from pathology practice. The findings are presented as a structured framework of six key elements, supported by an infographic and illustrative cases from clinical settings.

resultsThe key elements are: (1) Innovation depends more on the people driving it than on the work it demands, highlighting the importance of team collaboration and communication; (2) in-depth knowledge of the delivery system emphasizing the importance of care, IT, and administrative layers is crucial; (3) data-driven decision-making in healthcare transformation is central, with an emphasis on the process of converting real-world data (RWD) into actionable real-world evidence (RWE); (4) a proven approach for practice transformation uses a structured (utilization management strategy, UMS) framework; (5) a balanced approach toward financial sustainability, including local and systemic financial strategies, is important; and (6)  ensuring safe and effective progress requires a new, collaborative definition of regulatory science, aligning innovation with regulatory oversight to support technological advancements.

conclusionThese key aspects offer a foundational framework for integrating new technologies into healthcare. Although not exhaustive, overlooking them would miss a significant opportunity to enhance patient care.

Indexed as

HumansBiomarkerInnovationPersonalized medicinePrecision oncologyRegulatory

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.