VETCORESSEN: A web application to streamline the management of veterinary medical records

Background Currently, pet adoption has increased significantly, and these animals require regular medical checkups to preserve their health and well-being. Veterinary consultations face growing difficulties, clinical records continuously increase, and many veterinary facilities still do not integrate digital tools that eliminate slow and cumbersome manual processes. This situation causes dissatisfaction among pet owners and veterinary professionals. To address this problem, VETCORESSEN, a web application developed to streamline the management of veterinary medical records through a unified digital environment, is proposed. Methods VETCORESSEN was built using the client-server architecture. The application was developed in PHP with Laravel, applying the Model-View-Controller (MVC) pattern and the Object-Oriented Programming (OOP) paradigm. MariaDB was used for the database. Tables were managed through migrations and seeders, while persistent records were handled using Eloquent, an object-relational mapping (ORM) tool. Results VETCORESSEN successfully managed veterinary medical records, specifically for clients, pets, appointments, and clinical histories. Consequently, the application established itself as a primary support tool for clinical data. Its functionalities ensured patient health traceability to improve medical decision-making. Conclusions VETCORESSEN successfully managed veterinary data; specifically, client, pet, and appointment records, as well as clinical histories. Consequently, this application established itself as the primary support tool for healthcare information. Its features ensured patient health traceability to enable improved medical decision-making.

Authors

Institutions

Publication Details

Journal
F1000Research
Published
2026-10-14
DOI
https://doi.org/10.12688/f1000research.190216.1
Citations
1
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
7.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VETCORESSEN: A web application to streamline the management of veterinary medical records

Alex Pacheco, Gustavo Fernández-Gutiérrez, Jorge Enrique Cáceres-Hernández, alexander-lm
1 citations
F1000Research
Electronic Health Records Systems
7.39
article

VETCORESSEN: A web application to streamline the management of veterinary medical records

Alex Pacheco, Gustavo Fernández-Gutiérrez, Jorge Enrique Cáceres-Hernández, alexander-lm
article en
1 citations

Abstract

Background Currently, pet adoption has increased significantly, and these animals require regular medical checkups to preserve their health and well-being. Veterinary consultations face growing difficulties, clinical records continuously increase, and many veterinary facilities still do not integrate digital tools that eliminate slow and cumbersome manual processes. This situation causes dissatisfaction among pet owners and veterinary professionals. To address this problem, VETCORESSEN, a web application developed to streamline the management of veterinary medical records through a unified digital environment, is proposed. Methods VETCORESSEN was built using the client-server architecture. The application was developed in PHP with Laravel, applying the Model-View-Controller (MVC) pattern and the Object-Oriented Programming (OOP) paradigm. MariaDB was used for the database. Tables were managed through migrations and seeders, while persistent records were handled using Eloquent, an object-relational mapping (ORM) tool. Results VETCORESSEN successfully managed veterinary medical records, specifically for clients, pets, appointments, and clinical histories. Consequently, the application established itself as a primary support tool for clinical data. Its functionalities ensured patient health traceability to improve medical decision-making. Conclusions VETCORESSEN successfully managed veterinary data; specifically, client, pet, and appointment records, as well as clinical histories. Consequently, this application established itself as the primary support tool for healthcare information. Its features ensured patient health traceability to enable improved medical decision-making.

F1000ResearchVol. 15
Universidad Nacional de Cañete
Openalex Percentile: Top 3%
Electronic Health Records Systems
7.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.