Evidence map›Paper›PMID 42348072›Full record

ArticleTherapeutic innovation & regulatory science2026

Quantifying the Financial Return on Investment of Risk-Based Quality Management Implementation in Clinical Development.

Abigail Dirks, Sylviane de Viron, Kenneth McFarlane, Kenneth A Getz

Abstract read
In one paragraph

Article in Therapeutic innovation & regulatory science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

4 authors.

Abigail DirksTufts Center for the Study of Drug Development, Tufts University School of Medicine, Boston, MA, USA. Abigail.Dirks@tufts.edu.ORCID https://orcid.org/0009-0004-7241-9123
Sylviane de VironClue Points S.A, Louvain-la-Neuve, Belgium.
Kenneth McFarlaneCluePoints Inc, King of Prussia, PA, USA.
Kenneth A GetzTufts Center for the Study of Drug Development, Tufts University School of Medicine, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite widespread receptivity to risk-based quality management (RBQM) principles, adoption has been limited as drug development stakeholders have lacked quantitative evidence demonstrating return on investment (ROI).

methodsTwo assessments were conducted to estimate the ROI of RBQM. (1) Clinical trial level ROI was derived by analyzing monitoring cost efficiencies and clinical phase duration reductions under a 10% source data verification (SDV) scenario. (2) Program-level ROI was derived using an expected net present value (eNPV) modeling approach. Both analyses included data based on actual RBQM use in 18 recently completed oncology trials, as well as published and proprietary industry benchmarks.

resultsRBQM use was associated with reductions of 8-19% in clinical phase durations and monitoring cost reductions of up to 18% under a 10% SDV scenario. Total clinical trial ROIs ranged from $3.2 million (phase 1) to $18.9 million (phase 3), corresponding to ROI multiples of 6× to 23×. Program-level eNPV gains ranged from $3.8 million in phase 1 to $13.8 million in phase 3 corresponding to ROI multiples of 4× to 14×.

conclusionsThe ROI demonstrated at the individual clinical trial level and at the development program level provides a compelling business case for adopting RBQM particularly given alignment with ICH E6 R3 guidelines encouraging risk-based approaches supporting clinical trial planning and execution. Study findings indicate that RBQM-supported oversight not only improves data quality and risk detection but also represents a strategic investment that can help optimize resource allocation, increase development efficiency and speed, and enhance portfolio productivity.

Indexed as

Drug DevelopmentRisk ManagementClinical Trials as TopicCost-Benefit AnalysisHumansInvestmentsCentralized monitoringClinical trial efficiencyExpected net present valueICH E6(R3)Oncology drug developmentQuality by designReturn on investmentRisk-based quality managementSource data verification

Identifiers

PMID42348072
PMCPMC13526088

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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.