SMART Markers framework for creating apps that connect patient generated data to point of care systems.
This repo contains a sample application to show how to build a voice interface for patient outcome reporting (PRO) by leveraging NLP capabilities provided by Amazon Lex and its integration with AWS's cloud contact center offering, Amazon Connect.
openPRO: Your health. Your voice.
The goal of ‘aldvmm’ is to fit adjusted limited dependent variable mixture models of health state utilities in R. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package…
Patient facing app for generating health data on iOS devices and reporting back to the practitioner/health system
Practitioner facing iPad app– for collecting patient generated health data
Sample iOS app previewing SMARTMarker's Instruments
Sample iOS Application for PROMs through Assessment Center
ShinyApp - Reference value tables
A Bayesian feature-selection model identifying barriers to digital health device adoption during Covid-19. Proposal for strategies to increase uptake
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