Literature DB >> 30976942

Predictive, Personalized, Preventive and Participatory (4P) Medicine Applied to Telemedicine and eHealth in the Literature.

Susel Góngora Alonso1, Isabel de la Torre Díez2, Begoña García Zapiraín3.   

Abstract

The main objective of this work is to provide a review of existing research work into predictive, personalized, preventive and participatory medicine in telemedicine and ehealth. The academic databases used for searches are IEEE Xplore, PubMed, Science Direct, Web of Science and ResearchGate, taking into account publication dates from 2010 up to the present day. These databases cover the greatest amount of information on scientific texts in multidisciplinary fields, from engineering to medicine. Various search criteria were established, such as ("Predictive" OR "Personalized" OR "Preventive" OR "Participatory") AND "Medicine" AND ("eHealth" OR "Telemedicine") selecting the articles of most interest. A total of 184 publications about predictive, personalized, preventive and participatory (4P) medicine in telemedicine and ehealth were found, of which 48 were identified as relevant. Many of the publications found show how the P4 medicine is being developed in the world and the benefits it provides for patients with different illnesses. After the revision that was undertaken, it can be said that P4 medicine is a vital factor for the improvement of medical services. It is hoped that one of the main contributions of this study is to provide an insight into how P4 medicine in telemedicine and ehealth is being applied, as well as proposing outlines for the future that contribute to the improvement of prevention and prediction of illnesses.

Entities:  

Keywords:  Participatory; Personalized; Predictive; Preventive; Telemedicine; eHealth

Year:  2019        PMID: 30976942     DOI: 10.1007/s10916-019-1279-4

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  8 in total

1.  Non-invasive human vital signs monitoring based on twin-core optical fiber sensors.

Authors:  Fengze Tan; Shuyang Chen; Weimin Lyu; Zhengyong Liu; Changyuan Yu; Chao Lu; Hwa-Yaw Tam
Journal:  Biomed Opt Express       Date:  2019-10-29       Impact factor: 3.732

Review 2.  Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A Survey.

Authors:  Mostafa Haghi; Saeed Danyali; Sina Ayasseh; Ju Wang; Rahmat Aazami; Thomas M Deserno
Journal:  Sensors (Basel)       Date:  2021-03-18       Impact factor: 3.576

Review 3.  Dried Blood Spot in Laboratory: Directions and Prospects.

Authors:  Kristina Malsagova; Artur Kopylov; Alexander Stepanov; Tatyana Butkova; Alexander Izotov; Anna Kaysheva
Journal:  Diagnostics (Basel)       Date:  2020-04-23

4.  Wearable health devices and personal area networks: can they improve outcomes in haemodialysis patients?

Authors:  Jeroen P Kooman; Fokko Pieter Wieringa; Maggie Han; Sheetal Chaudhuri; Frank M van der Sande; Len A Usvyat; Peter Kotanko
Journal:  Nephrol Dial Transplant       Date:  2020-03-01       Impact factor: 5.992

5.  Readiness of healthcare providers for e-hospitals: a cross-sectional analysis in China before the COVID-19 period.

Authors:  Peiyi Li; Yunmei Luo; Xuexin Yu; Elizabeth Mason; Zhi Zeng; Jin Wen; Weimin Li; Mohammad S Jalali
Journal:  BMJ Open       Date:  2022-02-21       Impact factor: 2.692

6.  In.To. COVID-19 socio-epidemiological co-causality.

Authors:  Elroy Galbraith; Jie Li; Victor J Del Rio-Vilas; Matteo Convertino
Journal:  Sci Rep       Date:  2022-04-06       Impact factor: 4.379

Review 7.  Detection of COVID-19-related biomarkers by electrochemical biosensors and potential for diagnosis, prognosis, and prediction of the course of the disease in the context of personalized medicine.

Authors:  Viviana Vásquez; Jahir Orozco
Journal:  Anal Bioanal Chem       Date:  2022-08-16       Impact factor: 4.478

8.  Evaluation of Prevalence of the Sarcopenia Level Using Machine Learning Techniques: Case Study in Tijuana Baja California, Mexico.

Authors:  Cristián Castillo-Olea; Begonya Garcia-Zapirain Soto; Clemente Zuñiga
Journal:  Int J Environ Res Public Health       Date:  2020-03-15       Impact factor: 3.390

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.