About This Project
アルファヘルス –UCSB CS Capstone Project
アルファヘルスは、患者の健康管理を支援し、医療用語をわかりやすく説明するユーザーインタフェースを充実させた遠隔医療プラットフォームウェブアプリケーションです。患者の医療記録を保存し、整理してアクセスできるようにするための統一プラットフォームとして機能します。複雑な医療用語、症状、治療法、インタラクティブなリンクと情報に特化したリアルタイムな音声からテキストへの転写をサポートする知能エージェントを作成します。
Alpha Health – UCSB CS Capstone Project
Alpha Health is a telemedicine platform web application that facilitates providing a patient’s healthcare assistance as well as improving its user interface for intuitively explaining medical jargons. It acts as a unified platform for keeping patients’ medical records and making them organized and accessible. It creates an intelligent agents to support real-time speech-to-text transcription specialized in complex medical terminology, symptoms, treatments with interactive links and information.
Supervised and Sponsored by WELL Health (Now renamed to Artera)
Collaborated work with: Changsheng Su, Huake He, Yuxiao Luo, Siyuan Wang
2021.03
Background
Due to the current pandemic, there has been a tenfold increase in virtual healthcare visits leading to communication barriers between patients and doctors which leads to certain things slipping through the cracks. According to surveys, 74% of patients in the U.S. would use telehealth services. In the pandemic situation, about 76% of patients care more about access to healthcare than need for human interactions with their healthcare providers.
During remote health care, doctors cannot share their screens with patients. As a result they cannot visually explain the complex medical terms. Audio information is less descriptive than graphical representation. We want to let users understand the terminology by displaying the definition and the charts in real-time conversation.
Project Specifics
Our project consists of two main parts. First part is capturing voice input from the device’s microphone, providing in-depth information on all the medical terms involved, and giving medication recommendations.
Secondly, based on the medical history of the patient, generate and update the electronic health records. Everytime this patient has some new symptoms, our app can recommend a suitable hospital/specialist available and auto-generate the format of the specific EHR that collects the related information to this illness.
Goals and Objectives
Patients’ conversations with providers are full of meaningful moments, important clinical data, follow up tasks all with key pieces of information and advice about how to best manage their care. The goal of our project is to provide patients with a platform that saves and responds to this information in real-time while they engage with their providers. Medical records, treatments, and follow-up tasks such as referrals, prescriptions and lab orders will be automatically transferred to the patient application and data will be categorized, organized, and augmented in a way that the patient can understand. All of this data is stored securely and is accessible by patients at any time.