Literature DB >> 27913029

Pharmacovigilance and Biomedical Informatics: A Model for Future Development.

Paul Beninger1, Michael A Ibara2.   

Abstract

PURPOSE: The discipline of pharmacovigilance is rooted in the aftermath of the thalidomide tragedy of 1961. It has evolved as a result of collaborative efforts by many individuals and organizations, including physicians, patients, Health Authorities, universities, industry, the World Health Organization, the Council for International Organizations of Medical Sciences, and the International Conference on Harmonisation. Biomedical informatics is rooted in technologically based methodologies and has evolved at the speed of computer technology. The purpose of this review is to bring a novel lens to pharmacovigilance, looking at the evolution and development of the field of pharmacovigilance from the perspective of biomedical informatics, with the explicit goal of providing a foundation for discussion of the future direction of pharmacovigilance as a discipline.
METHODS: For this review, we searched [publication trend for the log10 value of the numbers of publications identified in PubMed] using the key words [informatics (INF), pharmacovigilance (PV), phar-macovigilance þ informatics (PV þ INF)], for [study types] articles published between [1994-2015]. We manually searched the reference lists of identified articles for additional information. IMPLICATIONS: Biomedical informatics has made significant contributions to the infrastructural development of pharmacovigilance. However, there has not otherwise been a systematic assessment of the role of biomedical informatics in enhancing the field of pharmacovigilance, and there has been little cross-discipline scholarship. Rapidly developing innovations in biomedical informatics pose a challenge to pharmacovigilance in finding ways to include new sources of safety information, including social media, massively linked databases, and mobile and wearable wellness applications and sensors. With biomedical informatics as a lens, it is evident that certain aspects of pharmacovigilance are evolving more slowly. However, the high levels of mutual interest in both fields and intense global and economic external pressures offer opportunities for a future of closer collaboration.
Copyright © 2016 Elsevier HS Journals, Inc. All rights reserved.

Entities:  

Keywords:  Internet; adverse drug reactions; biomedical informatics; pharmacoepidemiology; pharmacovigilance

Mesh:

Year:  2016        PMID: 27913029     DOI: 10.1016/j.clinthera.2016.11.006

Source DB:  PubMed          Journal:  Clin Ther        ISSN: 0149-2918            Impact factor:   3.393


  11 in total

1.  Secure and Trustable Electronic Medical Records Sharing using Blockchain.

Authors:  Alevtina Dubovitskaya; Zhigang Xu; Samuel Ryu; Michael Schumacher; Fusheng Wang
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  Artificial Intelligence Within Pharmacovigilance: A Means to Identify Cognitive Services and the Framework for Their Validation.

Authors:  Ruta Mockute; Sameen Desai; Sujan Perera; Bruno Assuncao; Karolina Danysz; Niki Tetarenko; Darpan Gaddam; Danielle Abatemarco; Mark Widdowson; Sheryl Beauchamp; Salvatore Cicirello; Edward Mingle
Journal:  Pharmaceut Med       Date:  2019-04

3.  A Qualitative Study of Stakeholders' Views on Pharmacovigilance System, Policy, and Coordination in Pakistan.

Authors:  Muhammad Akhtar Abbas Khan; Saima Hamid; Shahzad Ali Khan; Mariyam Sarfraz; Zaheer-Ud-Din Babar
Journal:  Front Pharmacol       Date:  2022-06-09       Impact factor: 5.988

4.  Chronologic trends of cancer-related lymph node research in PubMed: informetrics analysis.

Authors:  Hyo-Jung Oh; Dongmin Yang; Hyo-Won Oh; Jae-Gyu Jeon; Chonghyuck Kim; Jeong-Yong Ahn; Se Wung Han; Chan-Young Kim
Journal:  Ann Surg Treat Res       Date:  2020-10-28       Impact factor: 1.859

5.  Training Augmented Intelligent Capabilities for Pharmacovigilance: Applying Deep-learning Approaches to Individual Case Safety Report Processing.

Authors:  Danielle Abatemarco; Sujan Perera; Sheng Hua Bao; Sameen Desai; Bruno Assuncao; Niki Tetarenko; Karolina Danysz; Ruta Mockute; Mark Widdowson; Nicole Fornarotto; Sheryl Beauchamp; Salvatore Cicirello; Edward Mingle
Journal:  Pharmaceut Med       Date:  2018-10-13

6.  Assessment of the Current State of Pharmacovigilance System in Pakistan Using Indicator-Based Assessment Tool.

Authors:  Muhammad Akhtar Abbas Khan; Saima Hamid; Tofeeq Ur-Rehman; Zaheer-Ud-Din Babar
Journal:  Front Pharmacol       Date:  2022-01-14       Impact factor: 5.810

7.  Effects of atypical antipsychotic drugs on QT interval in patients with mental disorders.

Authors:  Wilbert S Aronow; Tatyana A Shamliyan
Journal:  Ann Transl Med       Date:  2018-04

Review 8.  Bioinformatics Accelerates the Major Tetrad: A Real Boost for the Pharmaceutical Industry.

Authors:  Tapan Behl; Ishnoor Kaur; Aayush Sehgal; Sukhbir Singh; Saurabh Bhatia; Ahmed Al-Harrasi; Gokhan Zengin; Elena Emilia Babes; Ciprian Brisc; Manuela Stoicescu; Mirela Marioara Toma; Cristian Sava; Simona Gabriela Bungau
Journal:  Int J Mol Sci       Date:  2021-06-08       Impact factor: 5.923

Review 9.  Effects of antidepressants on QT interval in people with mental disorders.

Authors:  Wilbert S Aronow; Tatyana A Shamliyan
Journal:  Arch Med Sci       Date:  2020-05-29       Impact factor: 3.318

10.  Adverse drug event presentation and tracking (ADEPT): semiautomated, high throughput pharmacovigilance using real-world data.

Authors:  Alon Geva; Jason P Stedman; Shannon F Manzi; Chen Lin; Guergana K Savova; Paul Avillach; Kenneth D Mandl
Journal:  JAMIA Open       Date:  2020-08-31
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.