Cornell: Random Hacks of Kindness-Afya MedRec demo
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The document discusses the development of the MedRec Lite iOS app by the Afya Foundation to address inefficiencies in managing medical records. It aims to provide electronic medical records that are easy to update and access, with features for local storage and offline functionality. The app is designed to enhance mobility for field work and streamline data management between clinics and workshops.
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Cornell: Random Hacks of Kindness-Afya MedRec demo
- 1. Random Hack of Kindness AFYA FUNDATION MedRec Lite IOS APP Mingyuan Huang, Chengxiang Ren, Tianyi Ding, Jiayi Sun, Shang-Tzu Chen, Yun Qing
- 2. Problems • AFYA foundation • Medical records • Paper works • Key in the data on excels afterwards • Time consuming and inefficient • Lost of record tracks • Difficult to integrate between workshop and clinics
- 3. Our Goals • Electronic medical records • Easy to update medical history • Easy to keep track of patient information and treatment • Record data with a built-in database on local handheld device • Mobility • Not limited to internet access • Feasibility Tablets Phones PC Server
- 4. Design and Demo • App UI • Database • Functionality • Add info for new patients • Search info for patients • Stored in local database • Export database with csv files to PC
- 5. Feasibility Analysis • Advantage • Offline data record in local database • Portable and mobility for field works • Local storage to avoid data loss • Shared data between clinics and workshop • Cost • Save time and human resource • Easy to maintain
Editor's Notes
- #5: Design & Demo Motivation: App based solution on ipad Poor internet access: instant update/ synchronization to the database is not easy Our goal: time limit: App development and local database stored on ipad. Implementation: App design UI: easy for doctors, volunteers, nurses to use Database design Keep track of patient treatment process, patient information, past medical history Functionality: Add information for new patients. Search information for patients in the database Export database with csv files