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Enhancing veterinary clinic services through mobile applications and data analytics can significantly improve patient care, operational efficiency, and disease outbreak prediction. Mobile applications can streamline appointment scheduling, patient records management, and communication between veterinarians and pet owners. Data analytics can provide valuable insights into animal health trends, treatment effectiveness, and potential disease outbreaks, allowing for timely interventions and better resource allocation
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An Independent Study Presented to the Faculty of the School of Graduate Studies and Continuing Professional Development of University of Saint Louis, Tuguegarao City In partial fulfillment of the requirements for the DEGREE MASTER OF INFORMATION TECHNOLOGY Joana Malijan Bernardino 2024
APPROVAL SHEET A partial fulfillment of the requirements for the subject INDEPENDENT STUDY for the Degree of MASTERS OF INFORMATION TECHNOLOGY , this research study has been prepared and submitted by JOANA MALIJAN BERNARDINI which is hereby recommended for acceptance and approval. Approved by the Panel of Examiners on __________with a grade of _____%. PANEL OF EXAMINERS JAY M. VENTURA, DENG. ERITE C. ABANA, DIT Member Member LUISA B. AQUINO, EdD. Chairman Accepted as a partial fulfillment of the requirements for the degree Master of Information Technology, PYRENE T. QUILANG, Ph.D. Dean, Graduate School
Enhancing Veterinary Clinic Services through Mobile Application and
I would like to express my gratitude to Dean Pyrene T. Quilang, Ph.D., for assisting me with my enrollment process and welcoming me to the University of Saint Louis Tuguegarao. I would also like to thank Professor Dela Cruz, Lily Ann Balisi, for her unwavering support as my research professor and for sharing her ideas with me even late at night. I am grateful to Professor Bryan J. Rasalan, my professor, for the majority of my subjects, for his amazing teaching, and for supporting me in enrolling in independent study. Additionally, I appreciate Professor Diane Jenalyn Datul for her understanding and for being a great teacher while I was away from school. I am thankful to Dr. Sy, Benedict Descargar, for his high grades and for sharing his networking ideas. I also want to express my gratitude to Professor Jan Tindowen, our research paper professor, for sharing his knowledge of conducting research. I appreciate Miss Anne A. Andres for actively responding to my inquiries and lastly University of Saint Louis Tuguegarao for accepting me as one of the graduate students from Iloilo. I would also like to thank my parents for understanding, especially in financial matters. I am grateful to my alma mater, Western Institute of Technology, Iloilo, particularly the IT Department. My friends especially “nang” Rowena Tabigoon for accompanying, Pres. Kenneth Gersabalino for helping me financially and pushing me to improve my career. I would first and foremost like to express my gratitude to Almighty God, who has never ceased to grant me the strength, health, understanding, and discernment I require to complete this master of Information Technology. DEDICATION My parents, professors, and friends helped me in my MIT journey by offering guidance, support, and encouragement. Finally, I offer all of these to the All-Powerful God. JOANA M. BERNARDINO Master of Information Technology
Enhancing Veterinary Clinic Services through Mobile Application and ABSTRACT Technology integration in veterinary clinics has revolutionized animal care and communication with pet owners. However, many clinics still use outdated manual methods for crucial tasks like record-keeping, inventory management, appointment scheduling, and identifying disease outbreaks. This creates significant challenges and makes it difficult for clinics to provide timely and optimal care. Digital solutions can help clinics overcome these challenges and enhance their services. In healthcare, the absence of data has always been a significant obstacle in hindering patient recovery and misallocating resources. However, in recent times, the lack of reactive analytics, devoid of data science techniques like machine learning and predictive modeling, has led to a crisis in how healthcare providers deliver services. This study evaluates the effectiveness of digital solutions in addressing these challenges and explores their impact on various aspects of veterinary clinic operations. The study seeks to provide valuable insights into the transformative potential of digital solutions in advancing veterinary care practices and improving patient outcomes. Keywords: Data Analytics, Digital, Veterinary, Mobile Application, IOT INTRODUCTION The veterinary industry is rapidly evolving, and integrating technology has become a crucial aspect of providing better care to beloved animal companions. However, many veterinary clinics still rely on outdated manual practices, which limit their ability to deliver optimal services efficiently. There is a growing demand for modernization, urging veterinary clinics to adopt digital solutions and usher in a new era of veterinary care. Data analytics has transformed the healthcare industry by improving patient outcomes, streamlining operations, and enhancing fraud prevention. The use of big data analytics enables clinicians to detect diseases early, perform genomic analysis, and analyze patient profiles. Analytics is applied to transformed data to obtain meaningful insights from healthcare data for evidence-based decision-making. The article "Data Analytics in Healthcare Systems – Principles, Challenges, and Applications" (Suganthi, Gupta, Sisaudia, and Poongodi, May 2021) outlines the principles and challenges of data analytics in healthcare systems. According to (Arceo, 2020), veterinary clinics are facing a significant challenge due to the limitations of manual record-keeping, which makes it difficult for them to manage the increasing complexities of animal health. (Dela Cruz, Pahilona, & Villanueva, 2019) highlight the potential of digital solutions, such as the Pet Care Management System, which simplifies important tasks like record management and appointment scheduling.
Enhancing Veterinary Clinic Services through Mobile Application and proactive pet health management. develop and implement a comprehensive pet management system within veterinary clinics, with a focus on enhancing record handling, monitoring pet health, providing detailed pet records to clients, updating clinic services, and fostering pet socialization and community engagement among pet owners. The study anticipates improved efficiency and accuracy in record handling, enhanced monitoring of pet health, increased client satisfaction through detailed pet records and timely service updates, and a strengthened pet owner community through facilitated socialization opportunities within the clinics. Healthcare providers and public health agencies can analyze patient records, demographics, and environmental factors to identify potential outbreaks before they become widespread. The study aims to do the following:
Enhancing Veterinary Clinic Services through Mobile Application and
The user interface design program was an integrated system designed to need data entry only once. The UX/user experience of this system had a lot of modules that helped the user to lessen his/her tasks. It was less complicated and was complimentary to the needs of the client. It focused on the business side more with a touch of inventory management.The research study by (Putri Intan Sari, Khairun Nashirin, Muhammad Arifudin, and Yanto Setiawan, August
Enhancing Veterinary Clinic Services through Mobile Application and
The Enhancing Veterinary Clinic Services through Mobile Application and Data Analytics for Predictive Disease Outbreaks is designed to provide an optimal user experience and streamline veterinary clinic management. Identify the common diseases that the application gathered by its pet patient record. The app's features include a hierarchical system of user roles, with administrators responsible for overseeing user registration and patient data, and regular users tasked with maintaining comprehensive records of their pets. This structured approach ensures the secure handling and efficient management of data, making the app highly effective and useful. Figure 1.0 Conceptual Framework This figure shows the three main sections of the application: INPUT, PROCESS, and OUTPUT. The INPUT section deals with tasks like updating veterinary services, tracking pet health, recording pet information, and scheduling community events. The PROCESS section manages and processes data, while the OUTPUT section highlights the benefits, including informed veterinary services, a comprehensive pet database, outbreak prediction data analytics, and community event management for pet socialization.
Enhancing Veterinary Clinic Services through Mobile Application and
The capstone study will use Agile methodology, which enables the incremental development of these features, allowing the researcher to prioritize and implement functionalities based on user feedback. Figure 2 .0 Agile Method The Agile methodology was applied to the development of the Utilizing Data Analytics for Predictive Disease Outbreaks and Enhanced Functionality in the Healthy Paw Veterinary Management Mobile Application The concept phase identified the need for a mobile app that uses data analytics for predictive disease outbreaks and enhanced functionality. The inception phase planned the app's development, including its features and how it will utilize data analytics. The objectives of this research are to forecast disease outbreaks to enable proactive management of pet health. By utilizing thorough data collection and advanced machine learning techniques with PyTorch, the study seeks to develop a strong predictive model. This model will analyze historical and real-time data to predict potential outbreaks, enabling veterinary clinics to implement timely preventive measures and improve overall pet health management. Robust data collection tools are needed to gather comprehensive information on each pet, including medical history, vaccination records, and environmental factors. These tools may include electronic devices for pets that monitor vital signs and track movement, as well as IoT-enabled sensors that provide data on environmental conditions in the clinic. Integration with electronic health records (EHR) systems ensures that all collected data is centralized and accessible. Cloud storage solutions are crucial for securely storing vast
Enhancing Veterinary Clinic Services through Mobile Application and which analyze the data to forecast potential diseases. The outcome of this analysis is compiled into reports, as shown by the paper sheets icon. These reports are then presented on a dashboard, which is represented by an interface with various graphs and analytics, providing veterinarians with actionable insights for decision-making. The researcher plays a pivotal role in analyzing vast amounts of data to predict potential disease outbreaks, which is crucial for proactive pet healthcare management. This predictive analysis is then integrated into the mobile application, enhancing its functionality by providing timely alerts and insights to both veterinarians and pet owners. The research objectives are to enhance veterinary clinic services by improving record management and increasing pet owner engagement. The objectives include creating a comprehensive pet management system to simplify the recording and updating of pet information, providing timely updates on clinic services, facilitating interaction through the app, and integrating notifications and reminders for appointments, all leading to better overall care and management. The research phase will involve gathering requirements from the clinic, including veterinarians, clinic staff, and pet owners, to ensure that the system meets their needs and expectations. Automated systems excel at collecting, processing, and analyzing large volumes of data quickly. However, they cannot make effective decisions without data. The raw data is first stored and processed into a computer capable of handling big data. After understanding the requirements of the client organization, the analyst will collect the necessary datasets from different sources to develop the predictive model. Figure 4.0 Gathering Data
Enhancing Veterinary Clinic Services through Mobile Application and The figure portrays the diverse roles involved in Utilizing Data Analytics for Predictive Disease Outbreaks and Enhanced Functionality in the Healthy Paw Veterinary Management Mobile Application, emphasizing the integration of data analytics for predicting disease outbreaks and improving functionality. The researcher shall undertake the development of a user interface capstone project that is centered around the user and is responsive. The project aims to enable the tracking of pet health, organizing pet information, encouraging community involvement, and promoting staff collaboration through regular updates. The project shall be executed with due diligence and expertise, adhering to the best practices in UI design. The final product shall be an intuitive user–friendly platform that caters to the needs of pet owners and staff for user experience while being aligned with the goals of the objectives. RESULTS AND DISCUSSION Incorporating digital solutions in veterinary care can lead to a significant improvement in patient care delivery, clinic operations, and the advancement of veterinary medicine. Digital solutions can enable clinics to streamline their processes and improve the quality of care, leading to better clinical outcomes and more efficient operations. The findings of these studies demonstrate the potential benefits of integrating digital solutions in veterinary care, suggesting that it can be a valuable investment for clinics looking to improve their services. Pet owners are increasingly seeking advanced technological solutions in veterinary care, and the integration of digital solutions in veterinary care can help clinics meet these evolving demands, improve clinical outcomes, and enhance the overall experience of pet owners. Figure 5.0 Back-End Diagram
Enhancing Veterinary Clinic Services through Mobile Application and The system framework places great emphasis on the importance of monitoring pet health and ensuring that veterinary services are easily accessible within the design of the application. Users can keep track of various aspects of their pet's well-being, such as medication adherence, vaccination schedules, grooming appointments, and past consultation records with veterinary assistants. The application provides users with information about clinic services to ensure that they are aware of the available veterinary care options. Figure 7 .1 Flow Chart
Enhancing Veterinary Clinic Services through Mobile Application and This flowchart outlines the user journey within the app. It starts with the user accessing the app and includes decision points like login, registration, and scheduling visits. Diamond shapes represent decision points, and rectangular shapes represent actions. Arrows guide the user through the app's functionalities, creating a seamless user experience. This flowchart is a valuable tool for understanding the app's interface and planning for user interaction. Figure 7.2 Predictive Data Analytics System Flow Diagram The flowchart describes the process of predictive data analytics for pet patient disease data. The process starts with the retrieval of disease data, which is then checked for sufficiency. If the data is sufficient, the database is queried for similar cases. A predictive model using machine learning algorithms is then run on this data. The final result of this process is a prediction that can assist veterinary doctors in diagnosing diseases in pets. This process highlights the potential of data analytics and machine learning in improving disease prediction and treatment outcomes in veterinary medicine.
Enhancing Veterinary Clinic Services through Mobile Application and Figure 6.2 SQL Relational Predictive Data Analytics Diagram The diagram you provided illustrates a predictive data analytics model, specifically a Veterinary Clinic Disease Prediction System. This system is designed to forecast potential disease outbreaks among pets. It collects and processes various data points. For instance, it gathers information about pets such as their ID, type, name, age, address, color, weight, height, temperature, and sex. It also considers a range of diseases and their corresponding symptoms. Additionally, it includes data about veterinarians, such as their ID, name, surname, and specialty. All this data is then fed into a central prediction module, which uses the collected data to predict potential disease outbreaks. It provides outputs such as disease, type of animal, pet age, and disease probability, among other details. In essence, this system integrates data from multiple sources to make informed predictions about pet health. In animal health, the extraction of data entities aims at identifying, among others, the disease names, species, locations, and dates related to a specific outbreak. The classification is usually performed to filter the relevant data. It is crucial for animal disease data query systems, as it avoids overwhelming the systems with irrelevant data. Disease outbreaks often also describe outbreak control measures or economic impacts, share information about the outbreak source, or draw attention to a given area at risk.
Enhancing Veterinary Clinic Services through Mobile Application and Figure 7.1 Mobile User Interface Design The figure presents a UI design layout created in Figma for the prototyping phase of a mobile application. Its wireframes showcase a central smartphone frame containing a chat interface, surrounded by smaller frames representing various app screens. These frames are linked by arrows, depicting the user's journey through the app's functionalities. This layout serves as a visual roadmap for the app's navigation and user experience, crucial for designing an intuitive and efficient UI/UX. The prototyping stage is instrumental in outlining user interactions and ensuring a smooth flow within the app before development commencement. The mobile application is intended for pet owners, specifically for a veterinary clinic. The app greets the user and provides a way to express the current mood or health status of their pet through emojis. A prominent feature of the app is an alert system, which in this case, is warning about a disease outbreak in a place. This highlights the app’s role in managing infectious diseases. The app offers a variety of services, including check-ups and medication, vaccination, grooming, and tags and medicine. Each service is represented with a corresponding icon.
