Evidence map›Paper›PMID 42389386›Full record

ArticleDigital health

Innovation trajectory of Software as a Medical Device: Evidence from the US FDA-approved products.

Jiakan Yu, Jiajie Zhang, Shuto Miyashita, Shintaro Sengoku

Abstract read
In one paragraph

Article in Digital health. 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

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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

4 authors.

Jiakan YuDepartment of Innovation Science, School of Environment and Society, Institute of Science Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5876-7314
Jiajie ZhangGraduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan.
Shuto MiyashitaDepartment of Innovation Science, School of Environment and Society, Institute of Science Tokyo, Tokyo, Japan.
Shintaro SengokuDepartment of Innovation Science, School of Environment and Society, Institute of Science Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8008-3667

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health innovation is reshaping healthcare, with Software as a Medical Device (SaMD) as a critical frontier. However, little is known about how enterprises evolve portfolios within this regulated market. Objectives: This study uses enterprise-level SaMD product portfolio data to characterize innovation trajectories in SaMD development and assess heterogeneity in these trajectories across enterprise characteristics. Methods: We identify 578 FDA-approved products from 289 enterprises (2012-2022) using the OpenFDA database. A multi-state model tracked innovation dynamics across 4 states: (1) one initial approval, (2) multiple approvals in identical area, (3) expansion into 2 areas, and (4) diversification into 3 or more areas. We apply Kaplan-Meier survival analysis with log-rank tests, Competing-risk cumulative incidence analysis, and Cox proportional hazards regression to examine how enterprise size and industry classification influenced portfolio expansion, with right-censoring at the observation end date. Results: The analysis reveals stagnating innovation trajectories. 67% (n=193) of enterprises made only a single FDA submission. Kaplan-Meier estimation yielded a median time to first portfolio expansion of 8.41 years over a 10-year observation window, with large enterprises transitioning significantly faster than micro enterprises ( Conclusions: Innovation of SaMD follows structurally constrained trajectories. We propose that this is caused by resource barrier that hinders smaller enterprises. Overcoming this barrier requires innovation systems that facilitate integration of complementary assets. Sustainable innovation depends on shifting from isolated product development to coordinated, multi-domain ecosystems.

Indexed as

digital healthdigital innovationinnovation trajectoryregulated marketsoftware as a medical device

Identifiers

PMID42389386
PMCPMC13319578

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.