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Record W2912213232 · doi:10.2174/1874434601913010018

m-Health in the Surgical Context: Prospecting, Review and Analysis of Mobile Applications

2019· article· en· W2912213232 on OpenAlexaboutno aff
Álvaro Francisco Lopes de Sousa, Lucas Lazarini Bim, Guilherme Schneider, Paula Regina de Souza Hermann, Denise de Andrade, Inês Fronteira

Bibliographic record

VenueThe Open Nursing Journal · 2019
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsnot available
Fundersnot available
KeywordsTrademarkContext (archaeology)Inclusion and exclusion criteriaHealth careInclusion (mineral)Intellectual propertyExploratory researchMedicineIdentification (biology)Medical educationAlternative medicineComputer sciencePolitical sciencePsychologyGeographyPathology

Abstract

fetched live from OpenAlex

Background m-Health initiatives can show an opportunity to improve the identification, prevention and management of certain diseases. Most health-care applications aims at chronic noncommunicable diseases care, and it is necessary to seek evidence from applications intended for surgical patient care, either before, during or after hospitalization. Objective: The Study Aims to identify and analyze, from the literature review and prospecting, applications for smartphones developed to assist the surgical patient. Methods: A descriptive-exploratory study developed in two sequential phases. The first one corresponded to an integrative review of the literature in the databases PubMed, Web of Knowledge, Europe PMC database and Cumulative Index to Nursing and Allied Health Literature database. The second phase corresponded to an exploration of applications in the European Patent Office, United States Patent and Trademark Office (USPTO), Free Patents Online, Canadian Intellectual Property Office and World Intellectual Property Organization. In both phases, we do not restrict the results by year of publication/registration or language. At each stage, the selected studies/patents were analyzed and pre-selected, according to the inclusion and exclusion criteria, by reading their titles and abstracts. Subsequently, we analyzed those with the potential of participation in the study, evaluating the answer to the research question, as well as the type of research, objectives, sample, method, outcomes, results and conclusion. Finally, the articles/patents record found were read in full. Results In the databases, 14 studies that presented some application for smartphone aimed at the surgical patient were selected. Most of them were in PubMed (64.3%), published in English (100%). Regarding origin, 28.6% of the texts are from the United States of America, 14.3 from Sweden and 14.3 from Canada. On the other hand, in patent databases, 10 registries were selected, 60% in the USPTO patent base, hosted in hybrid systems (iPhone and Android) and developed in the last 5 years (2014-1018) (80%). In general, there is a series of applications aimed at surgical patients, such as targets and/or users, mainly focused on the exchange of text and image messages but concentrated on assisting the physician/health team in the preparation of the patient during the procedure or post discharge. It is necessary to invest in the creation of technologies that aim to monitor these patients, especially in post discharge. Conclusion The characteristics of applications indicate a strong hospital centered tendency in relation to its purpose, having the surgeon as the main user and the surgical patient as the main target. The applications are still focused on optimizing diagnostics or functions, and no initiatives are identified to monitor the patient in a non-hospital environment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.047
GPT teacher head0.492
Teacher spread0.445 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2019
Admission routes1
Has abstractyes

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