REAL WORLD DATA

Clinical evidence is increasingly coming from real-world data (RWD). RWD are generated and utilized by a wide range of stakeholders, including biopharmaceutical companies, payers, clinical researchers, providers and patients. The despite of fact that drug regulation is the most well-known application for them. We outline 21 possible applications for RWD in the field of health care in this review. We also go over significant obstacles and constraints that pertain to turning in these facts into proof. Reduced costs, improve evidence in clinical trials, accelerate development of new drugs and medical devices, holistic optimization of the healthcare system, regulatory support, healthcare quality improvement, personalized medicine, diverse data sources, large sample sizes. Data quality issues, lack of control, missing data, regulatory challenges, time consuming data cleaning, limited granularity, potential for misuse.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-31
DOI
https://doi.org/10.5281/zenodo.14015889
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
0.00
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article

REAL WORLD DATA

Zenodo (CERN European Organization for Nuclear Research)
Pharmacovigilance and Adverse Drug Reactions
article

REAL WORLD DATA

article en

Abstract

Clinical evidence is increasingly coming from real-world data (RWD). RWD are generated and utilized by a wide range of stakeholders, including biopharmaceutical companies, payers, clinical researchers, providers and patients. The despite of fact that drug regulation is the most well-known application for them. We outline 21 possible applications for RWD in the field of health care in this review. We also go over significant obstacles and constraints that pertain to turning in these facts into proof. Reduced costs, improve evidence in clinical trials, accelerate development of new drugs and medical devices, holistic optimization of the healthcare system, regulatory support, healthcare quality improvement, personalized medicine, diverse data sources, large sample sizes. Data quality issues, lack of control, missing data, regulatory challenges, time consuming data cleaning, limited granularity, potential for misuse.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 60%
Pharmacovigilance and Adverse Drug Reactions
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