Evidence map›Paper›PMID 39925582›Full record

ArticleCureus2025

Digitized ASIC (Adaptation, Standardization, Integration, and Compliance) Framework: An Innovation for Optimizing Technologies and Innovations for Medical and Higher Education.

Joshua Owolabi

Abstract read
In one paragraph

Article in Cureus, 2025. 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.

Joshua OwolabiDepartment of Biomedical Sciences, Philadelphia College of Osteopathic Medicine, Moultrie, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article serves several specific purposes: Presenting transferable information on transforming innovative ideas into educational products with practical applications; showcasing a digitized version of a leading innovation aimed at optimizing technologies and innovations in medical education, health professions education, and higher education; advancing an evidence-based approach to integrating innovations into educational ecosystems and promoting education through innovations and technologies. A 10-step approach to developing the ASIC framework (ASIC stands for Adaptation, Standardization, Integration, and Compliance) is presented, with explanations and illustrations of the processes and activities involved. Empirical evidence and sound principles are provided in support of activities to assure the validity and reliability of methods or procedures. The product of this innovative process is presented and described for the benefit of educators, academic leaders, and industry stakeholders on evidence-based practical approaches to deploying technologies for educational purposes to benefit learners or teachers, and the general society. The ASIC framework's four tenets, which include Adaptation, Standardization, Integration, and Compliance, are clearly defined. Evidence is presented to support ASIC tenets' roles in deploying educational technologies and innovations, as well as in transformation agendas involving leading changes with innovation. Possible applications of this successful approach to educational change agenda and roles are also presented. Adequate reference is made to a need to premise interventions on relevant theories and principles including the adult learning theory, cognitive load theory, Bloom's taxonomy, and connectivism. The IDEO model for leading change with innovation is also highlighted. This article could help educators, innovators, and other stakeholders by providing evidence on methodical approaches to developing and deploying useful innovations.

Indexed as

adaptationartificial intelligence (ai)asiccomplianceframeworkhigher educationinnovationsintegrationmedical educationstandardization

Identifiers

PMID39925582
PMCPMC11806926

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.