ArticleHeliyon2024
A maturity model for omnichannel adoption in health care institutions.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Embracing Digital as a Paradigm Shift in Medical Affairs.Pharmaceutical medicine · 2026Review
- Developing a maturity-level model for interprofessional collaboration in elective surgery preparation.Narra J · 2025Article
- Evaluating Maturity Models in Healthcare Information Systems: A Comprehensive Review.Healthcare (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Omnichannel adoption in healthcare service has recently become widely discussed as healthcare institutions struggle to keep up with changing patient expectations and technological advances. However, the need for a standard model for addressing this issue has left many healthcare institutions working to implement effective strategies. This study aims to establish a comprehensive model to evaluate adopting an omnichannel strategy in healthcare. To this purpose, two main objectives were pursued: i) identify and describe the different stages of maturity in adopting omnichannel strategy by healthcare institutions; ii) address the gaps identified in the literature and propose a roadmap to be followed to attain greater maturity levels. This roadmap is presented to healthcare institutions based on a gap analysis done regarding the adoption of an omnichannel strategy by healthcare institutions. Thus, a survey was conducted through online questionnaires in which ten Portuguese public hospitals participated. The survey data were collected, transformed, and analyzed using statistical methods to evaluate and make the proof-of-concept of the proposed model to identify the level of maturity regarding omnichannel strategy adoption. The results showed that Portuguese institutions participating in this survey are between the early and mid-stage of omnichannel adoption. Among the participants, it was possible to identify the healthcare institution's current level and the dimensions they lagged off and should improve to reach the next level regarding adopting the omnichannel strategy. Lastly, the findings and insights obtained from the data analysis provided valuable indications regarding omnichannel strategy in Portuguese healthcare institutions that participated in this study. Guidelines and directions were provided for future research on omnichannel maturity in healthcare.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.