Desain dan Implementasi Face Recognition dan Live Streaming pada Sistem Digital Assistant untuk Staf Medik Fungsional menggunakan Google Glass

TL;DR

This paper presents DIANE, a digital assistant system utilizing face recognition and live streaming to accelerate hospital staff access to patient data and communication, thereby enabling quicker decision-making and improved patient care.

Contribution

The paper introduces a novel digital assistant system, DIANE, integrating face recognition and live streaming to enhance hospital staff efficiency in accessing information and communication.

Findings

Successful implementation of face recognition for patient identification.

Effective live streaming for remote communication among medical staff.

Improved speed of information access leading to faster decision-making.

Abstract

DIANE is a digital assistant system that aims to fasten the doctor access to various informations at the hospital such as health care facility, medical records, and also human resource data. The fasten access could be achieved by implementing face recognition and live streaming as part of the digital assistant system. By using face recognition, DIANE can identify patient's identity. Moreover, DIANE could know patient's biodata and also patient's medical records. Live streaming in DIANE enables doctor to communicate with other doctors in different place. Through the increasing speed of doctor to access the various informations at the hospital, it is expected that doctor can make decisions more quickly. As a result, more and more patients can be treated by the doctor properly. ---- DIANE merupakan sebuah sistem digital assistant yang bertujuan untuk mempercepat akses staf medik fungsional sebagai seorang profesional dengan waktu terbatas terhadap informasi seperti layanan kesehatan, rekam medis, dan personalia pada SIRS tingkat rumah sakit. Percepatan akses terhadap informasi tersebut diwujudkan melalui penggunaan fitur face recognition dan live streaming. Dengan menggunakan face recognition, DIANE dapat mengidentifikasi pasien sehingga dapat memberikan tampilan data berupa biodata dan rekam medis pasien. Sedangkan menggunakan live streaming pada DIANE, seorang staf medik fungsional dapat berkomunikasi dengan staf medik fungsional di tempat lain. Dengan peningkatan kecepatan akses terhadap beragam informasi tersebut diharapkan seorang staf medik fungsional dapat mengambil keputusan dengan lebih cepat. Akibatnya, semakin banyak pasien yang dapat ditangani oleh staf medik fungsional dengan baik.