Developing a Patient Information and Descriptive Analytics System for Data Actors of University of Bohol Medical and Rehabilitation Center: Towards Policy Making Norma J. Apao College of Computer Studies Cebu Institute of Technology-University Cebu City, Philippines njapao@universityofbohol.edu.ph Larmie S. Feliscuzo College of Computer Studies Cebu Institute of Technology-University Cebu City, Philippines lfeliscuzo@cit.edu Cherry Lyn C. Sta. Romana College of Computer Studies Cebu Institute of Technology-University Cebu City, Philippines cstaromana@cit.edu ABSTRACT In today's modern age where the computer has become a way of life, the old method of managing records manually is no longer practical. As the trend towards the utilization of information technology permeates workspaces, the need for accuracy, speed, and high memory data storage is a must. Presented in this paper is the development and deployment of the patient information and descriptive analytics system to provide users with easy access to information critical to the operation of the University of Bohol Medical and Rehabilitation Center. This study is inspired and motivated by the Sustainable Development Goals (SDGs) declared by the United Nations in 2015 and Philippine Health Agenda for 2016-2022. The study desires to help achieve the ongoing Health Agenda of the Philippines focusing on information that is identified as one of the building blocks of health. The study utilized the Structured Analysis and Design Techniques (SADT) to structure, plan and manage the process of developing the system. This study delved into the data management system of the University of Bohol Medical and Rehabilitation Center that uses the manual data processing method. Potential users and data players which include the physiatrist, physical therapists, occupational therapists, staff, and interns of the medical rehabilitation center were interviewed, and the flow of processes in the center was observed to gather relevant data needed in the design and development of the system. The descriptive health analytics is developed to help the data players of the university's health care facility make informed decisions and improve patient health outcomes. The system evaluation results revealed that the system conforms to standards obtaining a score of 3.53 or a descriptive value of Strongly Agree using the ISO 9126 model scored on a four‐point Likert scale. This study concluded that the results of the study directly gives an advantage to the management of patient records that enables the data actors to view the patients' records holistically for better planning and decision-making. CCS CONCEPTS • Information systems~Data management systems • Software and its engineering~Agile software development • Applied computing~Health care information systems • Human-centered computing~Information visualization KEYWORDS Patient Information System, Electronic Health Records, Descriptive Analytics, Health Analytics ACM Reference format: Norma J. Apao, Larmie S. Feliscuzo and Cherry Lyn C. Sta. Romana. 2019. Developing a Patient Information and Descriptive Analytics System for Data Actors of University of Bohol Medical and Rehabilitation Center: Towards Policy Making. In Proceedings of 2019 2nd International Conference on Data Science and Information Technology (DSIT’19). Seoul, Republic of Korea, 7 pages. https://doi.org/10.1145/3352411.3352419 1 Introduction Health service delivery does not only depend on the knowledge of doctors and medical care providers but also on the record-keeping procedures in healthcare [1]. Making effective use of technology is vital to the successful management of the massive amounts of relevant data obtained by the healthcare industry. Information can be extracted from this voluminous amount of data by the tools and techniques of analytics [2] to support decision-making in healthcare [3]. The right use of information and communication technology facilitates timely, quality data and monitoring of health-related outcomes [5]. Patient information that is available in digital form improve the healthcare system quality [6]. By adopting electronic health records and other digital tools, much more data will be available to be processed and analyzed. Making patient records suitable for computer processing enables the development of a new data analytics system for analyzing the usually substantial amount of data available in the healthcare facility. This analytics system will create a holistic view of patients, map out the common cases in the Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org. DSIT '19, July 19–21, 2019, Seoul, Republic of Korea © 2019 Association for Computing Machinery. ACM ISBN 978-1-4503-7141-4/19/07…$15.00 https://doi.org/10.1145/3352411.3352419