A Service-oriented Framework for Developing Personalized Patient Care Plans for COVID-19

Elahraf, Abeer; Afzal, Ayesha; Akhtar, Ahmed Bilal; Shafiq, Basit; Vaidya, Jaideep

doi:10.1145/3463677.3463742

Cited by 3 publications

(7 citation statements)

References 25 publications

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“…Lack of knowledge, technical literacy and skills needed to use virtual medical services (eg, not everybody can use telehealth services and disabled individuals and children need supervision to protect their integrity) 13 15 27 30 35–37…”

Section: Resultsmentioning

confidence: 99%

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Telehealth interventions during COVID-19 pandemic: a scoping review of applications, challenges, privacy and security issues

Tukur

Saad

AlShagathrh

et al. 2023

BMJ Health Care Inform

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BackgroundThe COVID-19, caused by the SARS-CoV-2 virus, proliferated worldwide, leading to a pandemic. Many governmental and non-governmental organisations and research institutes are contributing to the COVID-19 fight to control the pandemic.MotivationNumerous telehealth applications have been proposed and adopted during the pandemic to combat the spread of the disease. To this end, powerful tools such as artificial intelligence (AI)/robotic technologies, tracking, monitoring, consultation apps and other telehealth interventions have been extensively used. However, there are several issues and challenges that are currently facing this technology.ObjectiveThe purpose of this scoping review is to analyse the primary goal of these techniques; document their contribution to tackling COVID-19; identify and categorise their main challenges and future direction in fighting against the COVID-19 or future pandemic outbreaks.MethodsFour digital libraries (ACM, IEEE, Scopus and Google Scholar) were searched to identify relevant sources. Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) was used as a guideline procedure to develop a comprehensive scoping review. General telehealth features were extracted from the studies reviewed and analysed in the context of the intervention type, technology used, contributions, challenges, issues and limitations.ResultsA collection of 27 studies were analysed. The reported telehealth interventions were classified into two main categories: AI-based and non-AI-based interventions; their main contributions to tackling COVID-19 are in the aspects of disease detection and diagnosis, pathogenesis and virology, vaccine and drug development, transmission and epidemic predictions, online patient consultation, tracing, and observation; 28 telehealth intervention challenges/issues have been reported and categorised into technical (14), non-technical (10), and privacy, and policy issues (4). The most critical technical challenges are: network issues, system reliability issues, performance, accuracy and compatibility issues. Moreover, the most critical non-technical issues are: the skills required, hardware/software cost, inability to entirely replace physical treatment and people’s uncertainty about using the technology. Stringent laws/regulations, ethical issues are some of the policy and privacy issues affecting the development of the telehealth interventions reported in the literature.ConclusionThis study provides medical and scientific scholars with a comprehensive overview of telehealth technologies’ current and future applications in the fight against COVID-19 to motivate researchers to continue to maximise the benefits of these techniques in the fight against pandemics. Lastly, we recommend that the identified challenges, privacy, and security issues and solutions be considered when designing and developing future telehealth applications.

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Section: Resultsmentioning

confidence: 99%

“…The primary policy and privacy issues mentioned in the reviewed studies2 9 11 13 26 29–31 37 are as follows:…”

Section: Resultsmentioning

confidence: 99%

Telehealth interventions during COVID-19 pandemic: a scoping review of applications, challenges, privacy and security issues

Tukur

Saad

AlShagathrh

et al. 2023

BMJ Health Care Inform

View full text Add to dashboard Cite

show abstract

“…Seven studies [ 25 , 32 , 34 , 39 , 46 , 84 , 85 ] recommended content from books (e.g., Weight-Less book [ 25 ]). Domain experts: in 16 studies [ 23 , 30 , 35 , 36 , 44 , 45 , 54 , 57 , 59 , 60 , 62 , 63 , 64 , 65 , 83 , 84 ] the information source was created by health sciences researchers or clinical professionals (e.g., researchers specializing in behavioral change theories, smoking cessation psychologists, pulmonologists, or nutrition specialists). Similar patients: five studies recommended items extracted from patient databases (e.g., a database of 132 obese youth who had succeeded in managing obesity [ 42 ]), social networks sites by crowdsourcing [ 67 ], or patients with similar health problems [ 31 , 59 , 79 ].…”

Section: Resultsmentioning

confidence: 99%

“…Domain experts: in 16 studies [ 23 , 30 , 35 , 36 , 44 , 45 , 54 , 57 , 59 , 60 , 62 , 63 , 64 , 65 , 83 , 84 ] the information source was created by health sciences researchers or clinical professionals (e.g., researchers specializing in behavioral change theories, smoking cessation psychologists, pulmonologists, or nutrition specialists).…”

Section: Resultsmentioning

confidence: 99%

“…Fifty-eight percent of the included studies (37/63) disclosed the names of their HRSs and, 19 of them were web-based systems [ 33 , 36 , 43 , 54 , 56 , 57 , 58 , 59 , 60 , 68 , 69 , 70 , 73 , 75 , 76 , 78 , 80 , 81 , 83 ], and 17 were mobile app systems [ 23 , 25 , 28 , 30 , 31 , 40 , 41 , 42 , 44 , 45 , 46 , 51 , 63 , 64 , 74 , 79 , 85 ].…”

Section: Resultsmentioning

confidence: 99%

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Health Recommender Systems Development, Usage, and Evaluation from 2010 to 2022: A Scoping Review

Cai

Kumar

et al. 2022

IJERPH

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A health recommender system (HRS) provides a user with personalized medical information based on the user’s health profile. This scoping review aims to identify and summarize the HRS development in the most recent decade by focusing on five key aspects: health domain, user, recommended item, recommendation technology, and system evaluation. We searched PubMed, ACM Digital Library, IEEE Xplore, Web of Science, and Scopus databases for English literature published between 2010 and 2022. Our study selection and data extraction followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. The following are the primary results: sixty-three studies met the eligibility criteria and were included in the data analysis. These studies involved twenty-four health domains, with both patients and the general public as target users and ten major recommended items. The most adopted algorithm of recommendation technologies was the knowledge-based approach. In addition, fifty-nine studies reported system evaluations, in which two types of evaluation methods and three categories of metrics were applied. However, despite existing research progress on HRSs, the health domains, recommended items, and sample size of system evaluation have been limited. In the future, HRS research shall focus on dynamic user modelling, utilizing open-source knowledge bases, and evaluating the efficacy of HRSs using a large sample size. In conclusion, this study summarized the research activities and evidence pertinent to HRSs in the most recent ten years and identified gaps in the existing research landscape. Further work shall address the gaps and continue improving the performance of HRSs to empower users in terms of healthcare decision making and self-management.

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Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature Review

Leite

Albuquerque

Pinheiro

2021

IJERPH

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With the growing concern about the spread of new respiratory infectious diseases, several studies involving the application of technology in the prevention of these diseases have been carried out. Among these studies, it is worth highlighting the importance of those focused on the primary forms of prevention, such as social distancing, mask usage, quarantine, among others. This importance arises because, from the emergence of a new disease to the production of immunizers, preventive actions must be taken to reduce contamination and fatalities rates. Despite the considerable number of studies, no records of works aimed at the identification, registration, selection, and rigorous analysis and synthesis of the literature were found. For this purpose, this paper presents a systematic review of the literature on the application of technological solutions in the primary ways of respiratory infectious diseases transmission prevention. From the 1139 initially retrieved, 219 papers were selected for data extraction, analysis, and synthesis according to predefined inclusion and exclusion criteria. Results enabled the identification of a general categorization of application domains, as well as mapping of the adopted support mechanisms. Findings showed a greater trend in studies related to pandemic planning and, among the support mechanisms adopted, data and mathematical application-related solutions received greater attention. Topics for further research and improvement were also identified such as the need for a better description of data analysis and evidence.

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A Service-oriented Framework for Developing Personalized Patient Care Plans for COVID-19

Cited by 3 publications

References 25 publications

Telehealth interventions during COVID-19 pandemic: a scoping review of applications, challenges, privacy and security issues

Telehealth interventions during COVID-19 pandemic: a scoping review of applications, challenges, privacy and security issues

Health Recommender Systems Development, Usage, and Evaluation from 2010 to 2022: A Scoping Review

Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature Review

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