SMART Markers framework for creating apps that connect patient generated data to point of care systems.
- Updated
Aug 22, 2024 - Swift
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…
Practitioner facing iPad app– for collecting patient generated health data
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PsyFramework is a standards-aligned platform for psychiatric assessment and research. It unifies surveys across ICD-10/11 and DSM-5-TR, with harmonized items, crosswalks, configurable batteries, longitudinal tracking, and exportable research-grade datasets.
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Sample iOS app previewing SMARTMarker's Instruments
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Scoping review of perioperative analgesic strategy in total knee arthroplasty (PRISMA-ScR/JBI). Maps evidence across 5 domains: anesthesia modality, regional technique, adjuvant pharmacology, risk stratification, and outcome measurement. Submitted to medRxiv.
📊 An open clinical dataset on AI-assisted Orofacial Myofunctional Therapy for Obstructive Sleep Apnea and Primary Snoring, following FAIR principles.
FHIR Structured Data Capture for Eye Surveys
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