About this Research Topic
RWE (Real World Evidence) is rapidly advancing in human health, utilizing well-established and readily available RWD (Real World Data) sources such as electronic health records, disease registries, insurance claims databases, and scientific research guidelines. However, in the veterinary field, although progress is being made, there is limited knowledge regarding data sources, availability, and established methods in companion animal and livestock species. Epidemiological and economic expertise in this area is scattered worldwide.
We welcome submissions on various topics related to the state and availability of data sources and methodologies in veterinary medicine. This includes the replication of methodologies from human health, the use of artificial intelligence for data mining, studies conducted in specific species or disease areas, and the identification of data gaps and future needs in veterinary medicine.
The aim of this Research Topic is to assess the current state and future requirements of RWD and RWE in animal health. The collection of articles will showcase modified methodologies from human health, explore the use of artificial intelligence (along with its limitations and risks), and guide readers in determining the fitness of data for their purposes. It will also identify species and geographical data gaps that exist.
The following research themes are of interest for this collection:
1. Veterinary, Owner, or Producer data databases and disease registries
a. Geography, species, and chronological data
b. Data sources, limitations, existing publications, and future needs
c. Utilization of Artificial Intelligence
2. New RWE studies demonstrating relevance, reliability, design, and analysis in any veterinary disease area or species
3. Methods for determining the fitness of data for specific studies
4. Future applications of RWE in animal health, including untapped data sources, wearables, Patient Reported Outcome measures (HRQoL, Health Risk Assessments), and economic evaluations (Willingness to Pay, Patient Preference, meaningful treatment benefits according to pet owners or producers)
5. Potential or existing uses of RWD/RWE to support technical sections beyond effectiveness in regulatory submissions, such as the use of real-world evidence (RWE) studies to estimate causal effects in RCTs, epidemiology, economics for pet owners or producers, and the disease journey of pet owners or producers.
We welcome submissions on various topics related to the state and availability of data sources and methodologies in veterinary medicine. This includes the replication of methodologies from human health, the use of artificial intelligence for data mining, studies conducted in specific species or disease areas, and the identification of data gaps and future needs in veterinary medicine.
The aim of this Research Topic is to assess the current state and future requirements of RWD and RWE in animal health. The collection of articles will showcase modified methodologies from human health, explore the use of artificial intelligence (along with its limitations and risks), and guide readers in determining the fitness of data for their purposes. It will also identify species and geographical data gaps that exist.
The following research themes are of interest for this collection:
1. Veterinary, Owner, or Producer data databases and disease registries
a. Geography, species, and chronological data
b. Data sources, limitations, existing publications, and future needs
c. Utilization of Artificial Intelligence
2. New RWE studies demonstrating relevance, reliability, design, and analysis in any veterinary disease area or species
3. Methods for determining the fitness of data for specific studies
4. Future applications of RWE in animal health, including untapped data sources, wearables, Patient Reported Outcome measures (HRQoL, Health Risk Assessments), and economic evaluations (Willingness to Pay, Patient Preference, meaningful treatment benefits according to pet owners or producers)
5. Potential or existing uses of RWD/RWE to support technical sections beyond effectiveness in regulatory submissions, such as the use of real-world evidence (RWE) studies to estimate causal effects in RCTs, epidemiology, economics for pet owners or producers, and the disease journey of pet owners or producers.
Keywords: Real World Data (RWD), Real World Evidence (RWE), Artificial Intelligence, Veterinary and Animal Health Economics and Outcomes Research
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
