scholarly journals Motivating Developers to Use Interoperable Standards for Data in Pandemic Health Apps

2021 ◽  
Author(s):  
Michael Rusongoza Muzoora ◽  
Nabil El-Badawi ◽  
Christian Elsner ◽  
Andrea Essenwanger ◽  
Peter Gocke ◽  
...  
Keyword(s):  
Open Source ◽  
Best Practice ◽  
Research Network ◽  
Health Apps ◽  
University Medicine ◽  
App Development ◽  
Health Applications

The COVID-19 pandemic has brought along a massive increase in app development. However, most of these apps are not using interoperable data. The COMPASS project of the German COVID-19 Research Network of University Medicine (“Netzwerk Universitätsmedizin (NUM)”) tackles this issue, by offering open-source technology, best practice catalogues, and suggestions for designing interoperable pandemic health applications (https://www.netzwerk-universitaetsmedizin.de/projekte/compass). Therefore, COMPASS conceived a framework that includes automated conformity checks as well as reference implementations for more efficient and pandemic-tailored app developments. It further aims to motivate and support developers to use interoperable standards.

scholarly journals Development of a tool to assess health applications for healthcare providers: A Delphi Expert Panel Study (Preprint)

2020 ◽  
Author(s):  
Immaculada Grau-Corral ◽  
Percy Efran Pantoja ◽  
Francisco J. Grajales III ◽  
Belchin Kostov ◽  
Valentí Aragunde ◽  
...  
Keyword(s):  
Literature Review ◽  
Health Care Providers ◽  
Expert Panel ◽  
Panel Study ◽  
Healthcare Providers ◽  
Care Providers ◽  
Web Based ◽  
Health Apps ◽  
Agreement Assessment ◽  
Health Applications

BACKGROUND The presence of the mobile phone and devices is generating knowledge about the use of applications to support patient care, but there are few recommendations for apps dedicated to healthcare professionals OBJECTIVE To establish a validated scale to assess healthcare mobile applications is the most efficient step for health care providers and systems. The main goal is to create and validate a tool to evaluate health apps destined to be used by health professionals. METHODS A five steps simplified methodology to assess of the scale was followed. The first step consists of building a scale for professionals based on a literature review. Next step would be an expert panel validation by a Delphi method, rating web-based questionnaires to evaluate inclusion and weight of the indicators. It was agreed to carry out, as many iterations as necessary, to reach a consensus of 75%. Finally, a pilot of the score was developed to evaluate the reliability of the scale. For the inter-rater agreement assessment during the pilot, the Cohen Kappa was used. RESULTS After the literature review, a first scale draft was developed. Two rounds of interactions of the local investigation group and the external panel of experts were needed to select final indicators. Seventeen indicators were included in the score. For the pilot test, 280 apps were evaluated and 66 meet the criteria. The interrater agreement was strong (higher than 82% with significant kappa >0.72 per app and item). CONCLUSIONS We have developed, with a reproducible methodology, a tool that allows us to evaluate health applications for clinical, surgical and general medical providers. The ISYScore-PRO scale to be reliable and reproducible. The assessment permitted to consolidate every step of the methodology. We were able to reach consensus on the dimensions and items on the scale with only two rounds. The process of validation included two robust methodologies. The ISYScore-PRO scale is reliable and reproducible.

Building Australia’s Scalable Drone Cloud

2021 ◽  
Author(s):  
Jens Klump ◽  
Tim Brown ◽  
Rohan Clarke ◽  
Robert Glasgow ◽  
Steve Micklethwaite ◽  
...  
Keyword(s):  
Data Management ◽  
Best Practice ◽  
Management Practices ◽  
Agricultural Research ◽  
Terrestrial Ecosystem ◽  
Large Data ◽  
Sensor Data ◽  
Research Network ◽  
Ecosystem Research ◽  
Plant Phenomics

<p>Remotely Piloted Aircraft (RPA), commonly known as drones, provide sensing capabilities that address the critical scale-gap between ground- and satellite-based observations. Their versatility allows researchers to deliver near-real-time information for society.</p><p>Key to delivering RPA information is the capacity to enable researchers to systematically collect, process, manage and share RPA-borne sensor data. Importantly, this should allow vertical integration across scales and horizontal integration across different RPA deployments. However, as an emerging technology, the best practice and standards are still developing and the large data volumes collected during RPA missions can be challenging.</p><p>Australia’s Scalable Drone Cloud (ASDC) aims to coordinate and standardise how scientists from across earth, environmental and agricultural research manage, process and analyse data collected by RPA-borne sensors, by establishing best practices in managing 3D-geospatial data and aligned with the FAIR data principles.</p><p>The ASDC is building a cloud-native platform for research drone data management and analytics, driven by exemplar data management practices, data-processing pipelines, and search and discovery of drone data. The aim of the platform is to integrate sensing capabilities with easy-to-use storage, processing, visualisation and data analysis tools (including computer vision / deep learning techniques) to establish a national ecosystem for drone data management.</p><p>The ASDC is a partnership of the Monash Drone Discovery Platform, CSIRO and key National Collaborative Research Infrastructure (NCRIS) capabilities including the Australian Research Data Commons (ARDC), Australian Plant Phenomics Facility (APPF), Terrestrial Ecosystem Research Network (TERN), and AuScope.</p><p>This presentation outlines the roadmap and first proof-of-concept implementation of the ASDC.</p>

scholarly journals Implementing a hash-based privacy-preserving record linkage tool in the OneFlorida clinical research network

JAMIA Open ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 562-569 ◽  
Author(s):  
Jiang Bian ◽  
Alexander Loiacono ◽  
Andrei Sura ◽  
Tonatiuh Mendoza Viramontes ◽  
Gloria Lipori ◽  
...  
Keyword(s):  
Clinical Research ◽  
Open Source ◽  
Real World ◽  
Record Linkage ◽  
Gold Standard ◽  
Privacy Preserving ◽  
Research Network ◽  
Clinical Research Network ◽  
Real World Setting ◽  
Hash Codes

Abstract Objective To implement an open-source tool that performs deterministic privacy-preserving record linkage (RL) in a real-world setting within a large research network. Materials and Methods We learned 2 efficient deterministic linkage rules using publicly available voter registration data. We then validated the 2 rules’ performance with 2 manually curated gold-standard datasets linking electronic health records and claims data from 2 sources. We developed an open-source Python-based tool—OneFL Deduper—that (1) creates seeded hash codes of combinations of patients’ quasi-identifiers using a cryptographic one-way hash function to achieve privacy protection and (2) links and deduplicates patient records using a central broker through matching of hash codes with a high precision and reasonable recall. Results We deployed the OneFl Deduper (https://github.com/ufbmi/onefl-deduper) in the OneFlorida, a state-based clinical research network as part of the national Patient-Centered Clinical Research Network (PCORnet). Using the gold-standard datasets, we achieved a precision of 97.25∼99.7% and a recall of 75.5%. With the tool, we deduplicated ∼3.5 million (out of ∼15 million) records down to 1.7 million unique patients across 6 health care partners and the Florida Medicaid program. We demonstrated the benefits of RL through examining different disease profiles of the linked cohorts. Conclusions Many factors including privacy risk considerations, policies and regulations, data availability and quality, and computing resources, can impact how a RL solution is constructed in a real-world setting. Nevertheless, RL is a significant task in improving the data quality in a network so that we can draw reliable scientific discoveries from these massive data resources.

scholarly journals PerHelper: Helping Developers Make Better Decisions on Permission Uses in Android Apps

2019 ◽  
Vol 9 (18) ◽  
pp. 3699
Author(s):  
Guosheng Xu ◽  
Shengwei Xu ◽  
Chuan Gao ◽  
Bo Wang ◽  
Guoai Xu
Keyword(s):  
Empirical Study ◽  
Open Source ◽  
Case Studies ◽  
Research Community ◽  
Experimental Results ◽  
Development Phase ◽  
Application Development ◽  
Bug Detection ◽  
Android Apps ◽  
App Development

Permission-related issues in Android apps have been widely studied in our research community, while most of the previous studies considered these issues from the perspective of app users. In this paper, we take a different angle to revisit the permission-related issues from the perspective of app developers. First, we perform an empirical study on investigating how we can help developers make better decisions on permission uses during app development. With detailed experimental results, we show that many permission-related issues can be identified and fixed during the application development phase. In order to help developers to identify and fix these issues, we develop PerHelper, an IDEplugin to automatically infer candidate permission sets, which help guide developers to set permissions more effectively and accurately. We integrate permission-related bug detection into PerHelper and demonstrate its applicability and flexibility through case studies on a set of open-source Android apps.

The prevalence and sociodemographic predictors of mobile health applications ownership among cancer survivors.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e24046-e24046
Author(s):  
Gideon T Dosunmu ◽  
Kobina Kwantsin Hagan ◽  
Chike Udoye ◽  
Moh'd M. Khushman
Keyword(s):  
Cancer Survivors ◽  
Mobile Health ◽  
Employment Status ◽  
Limited Resources ◽  
Health Apps ◽  
Sociodemographic Predictors ◽  
Mobile Health Applications ◽  
Mobile Health Apps ◽  
Growing Population ◽  
Health Applications

e24046 Background: The transition of cancer patients from patients to survivors is challenging. Cancer survivors often experience chronic physical, social and mental health needs which remain largely unmet. Due to the growing population of cancer survivors and limited resources available to address their needs, mobile health applications (apps) have emerged to help cancer patients in assuming their new role as survivors. Here, we explored the prevalence and sociodemographic predictors of mobile health apps ownership among Cancer Survivors in the United States using a nationally representative sample. Methods: Data from cycles 1 (2017) and 2 (2018) of the 5th edition of the Health Information National Trends Survey (HINTS 5) was reviewed. Descriptive statistics was used to evaluate the sociodemographic characteristics and the prevalence of mobile health apps ownership among cancer survivors. Univariate logistic regression models were used to explore the relationship between sociodemographic predictors and mobile health apps ownership. Results: We identified 1,097 (weighted estimate of 44,666,781) individuals who self-reported having been diagnosed with cancer in the . Of these, 57.39% were females, 79% were whites, 47.18% had 2 or more medical comorbidities, 63.7% were unemployed and about 50% were aged 65 or more. Prevalence of mobile health apps ownership was 44.82%. Among all the sociodemographic variables; educational level (p = 0.015), income (p = 0.014) and employment status (p < 0.005) were predictors of mobile health apps ownership among cancer. Conclusions: Cancer survivors are digitally connected and can be approached through mobile health apps. In our study, the prevalence of mobile health apps ownership in cancer survivors was 44.8%. Educational level, income and employment status were identified as predictors of mobile health apps ownership. Due to the growing population of cancer survivors and limited resources available to address their needs, efforts to address barriers of mobile health apps adoption and utilization should be encouraged.

scholarly journals Heritage and Diversity: Values in European Heritage Management Reflected in Award-Winning Best Practices

2022 ◽  
Vol 14 (2) ◽  
pp. 885
Author(s):  
Monique H. van den Dries ◽  
Miyuki J. H. Kerkhof ◽  
Sunniva T. Homme
Keyword(s):  
Best Practices ◽  
Best Practice ◽  
Good Practice ◽  
Heritage Management ◽  
Research Network ◽  
Award Winning ◽  
Heritage Studies ◽  
European Heritage ◽  
Practice Assessment ◽  
Network Project

The EU_CUL research network project, which is a collaboration of academics in heritage studies and in pedagogy, explored the use of cultural heritage for fostering social responsibility in higher education (Erasmus + project. In this context, research was conducted on inspirational examples and best practices in heritage management that include social and other societal values of heritage. This included award winning heritage practices in Europe. Heritage awards have, as a good practice assessment methodology, the potential to promote particular implemented practices. They can therefore help us find out what is considered ‘best practices’ in heritage management. An analysis of these practices also enables us to identify patterns, trends and potential biases. Sub-questions posed were: what is considered a ‘best practice’ in heritage awards? What kind of practices get these prizes and recognitions? What kinds of heritage are included and get the most attention? To what extent is the diversity of heritage, values and individuals in Europe represented? This chapter will discuss the results of this analysis of heritage awards and critically discuss the patterns that emerge and how this relates to governance and leadership in heritage management. The research is limited to Europe, it focuses on EAA and Europa Nostra, thus national prizes were not included.

scholarly journals The Mobile App Development and Assessment Guide (MAG): Delphi-Based Validity Study (Preprint)

2020 ◽  
Author(s):  
Pere Llorens-Vernet ◽  
Jordi Miró
Keyword(s):  
Health Care ◽  
Mobile Health ◽  
Health Care Professionals ◽  
Online Survey ◽  
End Users ◽  
Mobile App ◽  
Health Apps ◽  
App Development ◽  
Mobile Health Apps

BACKGROUND In recent years, there has been an exponential growth of mobile health (mHealth)–related apps. This has occurred in a somewhat unsupervised manner. Therefore, having a set of criteria that could be used by all stakeholders to guide the development process and the assessment of the quality of the apps is of most importance. OBJECTIVE The aim of this paper is to study the validity of the Mobile App Development and Assessment Guide (MAG), a guide recently created to help stakeholders develop and assess mobile health apps. METHODS To conduct a validation process of the MAG, we used the Delphi method to reach a consensus among participating stakeholders. We identified 158 potential participants: 45 patients as potential end users, 41 health care professionals, and 72 developers. We sent participants an online survey and asked them to rate how important they considered each item in the guide to be on a scale from 0 to 10. Two rounds were enough to reach consensus. RESULTS In the first round, almost one-third (n=42) of those invited participated, and half of those (n=24) also participated in the second round. Most items in the guide were found to be important to a quality mHealth-related app; a total of 48 criteria were established as important. “Privacy,” “security,” and “usability” were the categories that included most of the important criteria. CONCLUSIONS The data supports the validity of the MAG. In addition, the findings identified the criteria that stakeholders consider to be most important. The MAG will help advance the field by providing developers, health care professionals, and end users with a valid guide so that they can develop and identify mHealth-related apps that are of quality.

scholarly journals The Use of Open Source Software to Enhance Public Health Initiatives

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Erin Hahn ◽  
Sheri Lewis ◽  
David Blazes
Keyword(s):  
Public Health ◽  
Open Source ◽  
Open Source Software ◽  
Global Public Health ◽  
Health Initiatives ◽  
Public Health Initiatives ◽  
Health Applications

Open Source Software (OSS) is rapidly becoming part of public health applications. The adoption more broadly of OSS has the potential to improve global public health initiatives in general, because it provides a free, modifiable software option which can be altered to meet specific requirements.

scholarly journals The Mobile App Development and Assessment Guide (MAG): Delphi-Based Validity Study

10.2196/17760 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e17760 ◽  
Author(s):  
Pere Llorens-Vernet ◽  
Jordi Miró
Keyword(s):  
Health Care ◽  
Mobile Health ◽  
Health Care Professionals ◽  
Online Survey ◽  
End Users ◽  
Mobile App ◽  
Health Apps ◽  
App Development ◽  
Mobile Health Apps

Background In recent years, there has been an exponential growth of mobile health (mHealth)–related apps. This has occurred in a somewhat unsupervised manner. Therefore, having a set of criteria that could be used by all stakeholders to guide the development process and the assessment of the quality of the apps is of most importance. Objective The aim of this paper is to study the validity of the Mobile App Development and Assessment Guide (MAG), a guide recently created to help stakeholders develop and assess mobile health apps. Methods To conduct a validation process of the MAG, we used the Delphi method to reach a consensus among participating stakeholders. We identified 158 potential participants: 45 patients as potential end users, 41 health care professionals, and 72 developers. We sent participants an online survey and asked them to rate how important they considered each item in the guide to be on a scale from 0 to 10. Two rounds were enough to reach consensus. Results In the first round, almost one-third (n=42) of those invited participated, and half of those (n=24) also participated in the second round. Most items in the guide were found to be important to a quality mHealth-related app; a total of 48 criteria were established as important. “Privacy,” “security,” and “usability” were the categories that included most of the important criteria. Conclusions The data supports the validity of the MAG. In addition, the findings identified the criteria that stakeholders consider to be most important. The MAG will help advance the field by providing developers, health care professionals, and end users with a valid guide so that they can develop and identify mHealth-related apps that are of quality.

scholarly journals Marketplace and Literature Review of Spanish Language Mental Health Apps

2021 ◽  
Vol 3 ◽  
Author(s):  
Alma Oñate Muñoz ◽  
Erica Camacho ◽  
John Torous
Keyword(s):  
Mental Health ◽  
Literature Review ◽  
Phase 1 ◽  
The United States ◽  
Spanish Language ◽  
Inclusion Criteria ◽  
Language Differences ◽  
Health Apps ◽  
App Development ◽  
Published Research

Language differences between patients and providers remains a barrier to accessing health care, especially mental health services. One potential solution to reduce inequities for patients that speak different languages and improve their access to care is through the delivery of healthcare through mobile technology. Given that the Latinx community serves as the largest ethnic minority in the United States, this two-phased review examines Spanish app development, feasibility and efficacy. Phase 1 explored the commercial marketplace for apps available in Spanish, while phase 2 involved a literature review of published research centered around the creation, functions, and usability of these apps using the PubMed and Google Scholar electronic databases. Of the apps available on the database, only 14.5% of them had Spanish operability. The literature search uncovered 629 results, of which 12 research articles that tested or described 10 apps met the inclusion criteria. Of the 10 apps studied in this literature review, only four apps were translated to Spanish. Our study reveals that despite increasing interest in Spanish-language apps to address mental health, the commercial marketplace is not currently meeting the demand.

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