All Projects → Intelehealth → Android-Mobile-Client

Intelehealth / Android-Mobile-Client

Licence: MPL-2.0 License
Intelehealth's Android Client

Programming Languages

java
68154 projects - #9 most used programming language

Projects that are alternatives of or similar to Android-Mobile-Client

biomedical-blockchain
a map of all biomedical blockchain initiatives
Stars: ✭ 43 (+65.38%)
Mutual labels:  healthcare, patients
chr247.com
An open source multi tenant cloud platform for small scale clinics
Stars: ✭ 56 (+115.38%)
Mutual labels:  healthcare, patients
heltin
Robust client registry for individuals receiving mental healthcare services.
Stars: ✭ 18 (-30.77%)
Mutual labels:  healthcare, patients
fuse-med-ml
A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
Stars: ✭ 66 (+153.85%)
Mutual labels:  healthcare
awesome-list-machine-learning-healthcare
A list of awesome resources on the application of machine learning in healthcare
Stars: ✭ 17 (-34.62%)
Mutual labels:  healthcare
Patient2Vec
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Stars: ✭ 85 (+226.92%)
Mutual labels:  healthcare
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
Stars: ✭ 3,125 (+11919.23%)
Mutual labels:  healthcare
Online-Appointment-Booking-System
An Online Appointment Booking System for Retail Chain Clinics with both the User as well as the Admin Side.
Stars: ✭ 95 (+265.38%)
Mutual labels:  patients
medical-transcription-analysis
Medical Transcription Analysis (MTA) demonstrates how the integration of Amazon Comprehend Medical and Amazon Transcribe Medical can be used to transcribe audio data, extract key medical components and tag the data to their corresponding entities. Automating the medical transcription and comprehension process makes it easier for health care prof…
Stars: ✭ 54 (+107.69%)
Mutual labels:  healthcare
HealthCare-Scan-Nearby-Hospital-Locations
I developed this android application to help beginner developers to know how to use Google Maps API and how to convert JSON data into Java Object.
Stars: ✭ 23 (-11.54%)
Mutual labels:  healthcare
skeleton
Composer starter project for Ambulatory.
Stars: ✭ 43 (+65.38%)
Mutual labels:  healthcare
clara-dicom-adapter
DICOM Adapter is a component of the Clara Deploy SDK which facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggering of jobs with configurable rules and offers pushing the output of jobs to PACS systems.
Stars: ✭ 31 (+19.23%)
Mutual labels:  healthcare
imbalanced-regression
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Stars: ✭ 425 (+1534.62%)
Mutual labels:  healthcare
pneumonia detection
Pneumonia Detection using machine learning - with PyTorch
Stars: ✭ 12 (-53.85%)
Mutual labels:  healthcare
cusumcharter
Easier CUSUM control charts. Returns simple CUSUM statistics, CUSUMs with control limit calculations, and function to generate faceted CUSUM Control Charts
Stars: ✭ 17 (-34.62%)
Mutual labels:  healthcare
1 011 a infektionsfall uebermittellung
This repository is deprecated and has not been maintained for months!
Stars: ✭ 23 (-11.54%)
Mutual labels:  healthcare
DocProduct
Medical Q&A with Deep Language Models
Stars: ✭ 527 (+1926.92%)
Mutual labels:  healthcare
ePillID-benchmark
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)
Stars: ✭ 54 (+107.69%)
Mutual labels:  healthcare
open-source-cure-for-cancer
Using AI to figure out cancer
Stars: ✭ 45 (+73.08%)
Mutual labels:  healthcare
rl-medical
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
Stars: ✭ 36 (+38.46%)
Mutual labels:  healthcare

Intelehealth Android Client

About

Over 400 million people all over the world lack access to basic healthcare services. The reality for people living in rural areas for most of the developing world is that there is no doctor nearby. As a result, they have to travel long distances and spend considerable time and money in order to get to the nearest clinic. With the increasing availability of mobile networks and mobile internet even in rural areas we now have new opportunities to provide healthcare.

Telemedicine provides an opportunity by connecting doctors in urban areas to patients in rural areas to provide healthcare. But health organizations that want to set up telemedicine programs do not have a lot of technology options to choose from. A robust software platform is the backbone of a good telemedicine program. The platform needs to be low cost, work even over an unreliable low bandwidth data connection and needs to be appropriately designed for health workers or nurses who may have never used a smartphone before.

Intelehealth is an open source telemedicine platform that empowers local community health workers (CHWs) in rural communities to facilitate tele-consultations with remote doctors. It enables them to gather high quality clinical history and conduct clinically-relevant physical exams. Intelehealth can be used by hospitals, community health programs & governments to expand the reach of health services to ensure that vital primary care reaches remote and rural populations.

How it works

  • Intelehealth Android application runs on low bandwidth mobile data connection so it can operate in the remotest of settings
  • The mobile app uses intelligent data-gathering flowcharts so that CHWs gather comprehensive clinical history and conduct clinically relevant physical exams
  • The app independently guides the CHW through a series of questions and exams based on the patient’s presenting symptoms and medical history
  • The CHW uploads the gathered clinical data to a cloud server which houses the patients Electronic Health Record (EHR) system
  • The remote doctor reviews uploaded data, offer medical advice and prescription, and refer patient if required

Credits

Icons used:

  • Happy by Alina Oleynik from the Noun Project
  • Unhappy by Alina Oleynik from the Noun Project
  • Embarrassed by Alina Oleynik from the Noun Project
  • Shocked by Alina Oleynik from the Noun Project
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].