Literature DB >> 35028960

The digital transformation of hepatology: The patient is logged in.

Tiffany Wu1, Douglas A Simonetto1, John D Halamka2, Vijay H Shah1.   

Abstract

The rise in innovative digital health technologies has led a paradigm shift in health care toward personalized, patient-centric medicine that is reaching beyond traditional brick-and-mortar facilities into patients' homes and everyday lives. Digital solutions can monitor and detect early changes in physiological data, predict disease progression and health-related outcomes based on individual risk factors, and manage disease intervention with a range of accessible telemedicine and mobile health options. In this review, we discuss the unique transformation underway in the care of patients with liver disease, specifically examining the digital transformation of diagnostics, prediction and clinical decision-making, and management. Additionally, we discuss the general considerations needed to confirm validity and oversight of new technologies, usability and acceptability of digital solutions, and equity and inclusivity of vulnerable populations.
© 2022 American Association for the Study of Liver Diseases.

Entities:  

Mesh:

Year:  2022        PMID: 35028960      PMCID: PMC9531185          DOI: 10.1002/hep.32329

Source DB:  PubMed          Journal:  Hepatology        ISSN: 0270-9139            Impact factor:   17.298


  82 in total

1.  Telemedicine systems in organ transplantation: a feasibility and reliability study of the integrated teleradiological and tele-pathological evaluation of liver graft.

Authors:  Constantinos S Mammas; Andreas Lazaris; Spyros Geropoulos; George Saatsakis; Chryssa Lemonidou; Eustratios Patsouris
Journal:  Stud Health Technol Inform       Date:  2013

2.  Utility of the EncephalApp Stroop Test for covert hepatic encephalopathy screening in Chinese cirrhotic patients.

Authors:  Xin Zeng; Xiao-Xue Li; Pei-Mei Shi; Yuan-Yuan Zhang; Yang Song; Qing Liu; Lai Wei; Jasmohan S Bajaj; Yan-Hua Zhu; Yi Li; Yan Gu; Wei-Fen Xie; Yu-Lan Liu
Journal:  J Gastroenterol Hepatol       Date:  2019-04-07       Impact factor: 4.029

3.  Digital Health Landscape in Gastroenterology and Hepatology.

Authors:  Simon C Mathews; Vorada Sakulsaengprapha
Journal:  Clin Gastroenterol Hepatol       Date:  2020-11-03       Impact factor: 11.382

4.  Introducing EL-FIT (Exercise and Liver FITness): A Smartphone App to Prehabilitate and Monitor Liver Transplant Candidates.

Authors:  Andrés Duarte-Rojo; Pamela M Bloomer; Renee J Rogers; Mohamed A Hassan; Michael A Dunn; Amit D Tevar; Samantha L Vivis; Ramon Bataller; Christopher B Hughes; Arny A Ferrando; John M Jakicic; W Ray Kim
Journal:  Liver Transpl       Date:  2020-12-23       Impact factor: 5.799

5.  Telehealth-Based Evaluation Identifies Patients Who Are Not Candidates for Liver Transplantation.

Authors:  Venkata Rajesh Konjeti; Douglas Heuman; Jasmohan S Bajaj; HoChong Gilles; Michael Fuchs; Phillip Tarkington; Binu V John
Journal:  Clin Gastroenterol Hepatol       Date:  2018-04-30       Impact factor: 11.382

6.  Harnessing context sensing to develop a mobile intervention for depression.

Authors:  Michelle Nicole Burns; Mark Begale; Jennifer Duffecy; Darren Gergle; Chris J Karr; Emily Giangrande; David C Mohr
Journal:  J Med Internet Res       Date:  2011-08-12       Impact factor: 5.428

7.  The Cost-Effectiveness of Digital Health Interventions on the Management of Cardiovascular Diseases: Systematic Review.

Authors:  Xinchan Jiang; Wai-Kit Ming; Joyce Hs You
Journal:  J Med Internet Res       Date:  2019-06-17       Impact factor: 5.428

Review 8.  Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases.

Authors:  Joseph C Ahn; Alistair Connell; Douglas A Simonetto; Cian Hughes; Vijay H Shah
Journal:  Hepatology       Date:  2021-06       Impact factor: 17.425

9.  A Pilot Study to Validate a Wearable Inertial Sensor for Gait Assessment in Older Adults with Falls.

Authors:  Guillermo García-Villamil; Marta Neira-Álvarez; Elisabet Huertas-Hoyas; Antonio Ramón-Jiménez; Cristina Rodríguez-Sánchez
Journal:  Sensors (Basel)       Date:  2021-06-24       Impact factor: 3.576

10.  Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning.

Authors:  Runmin Wei; Jingye Wang; Xiaoning Wang; Guoxiang Xie; Yixing Wang; Hua Zhang; Cheng-Yuan Peng; Cynthia Rajani; Sandi Kwee; Ping Liu; Wei Jia
Journal:  EBioMedicine       Date:  2018-08-10       Impact factor: 8.143

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