Implementation of a Medical Image File Accessing System on Cloud Computing

TLDR

Large‑scale cloud clusters are widely used in data centers, and many countries have invested heavily in EMR projects that offer benefits such as patient‑centered care, collaborative teams, evidence‑based care, redesigned business processes, relevant data capture and timely feedback, exemplified by initiatives like ARRAHIT, Health Infoway, and NHIP. The study aims to address challenges in exchanging, storing, and sharing medical images within EMR systems by presenting MIFAS, a Medical Image File Accessing System. MIFAS is implemented on a large‑scale cloud cluster to enable efficient exchange, storage, and sharing of medical images across hospitals. MIFAS improves the efficiency of information sharing between patients and caregivers and supports optimal patient‑care decisions.

Abstract

Large scale cluster based on cloud technologies has been widely used in many areas, including the data center and cloud computing environment. The purpose of presenting the research paper in this field was to solve the challenge in Medical Image exchanging, storing and sharing issues of EMR (Electronic Medical Record). In recent years, many countries invested significant resources on the projects of EMR topics. The benefit of the EMR included: Patient-centered Care, Collaborative Teams, Evidence-based Care, Redesigned Business Processes, Relevant Data Capture and Analysis and Timely Feedback and Education. For instance, the ARRAHIT project in Untied States (2011-2015), Health Infoway project in Canada (2001-2015) and NHIP project in Taiwan, etc. Aim to the topic of EMR, we presented a system called MIFAS (Medical Image File Accessing System) to solve the exchanging, storing and sharing on Medical Images of crossing the different hospitals issues. Through this system we can enhance efficiency of sharing information between patients and their caregivers. Furthermore, the system can make the best-possible patient-care decisions.