This is the official support API for working with HL7 FHIR on the Microsoft .NET (dotnet) platform.This library provides: Class models for working with the FHIRdata model using POCO’s Xml and Json parsers and serializers A REST client for working with FHIR-compliant servers Helper classes to work with the specification metadata, most notably StructureDefinition and generation of differentials Validation of instances based on profiles Evaluation FhirPath expressions The library is currently split up in four parts:- Core (NuGet packages starting with Hl7.
Synthea™ is a Synthetic Patient Population Simulator. The goal is to output synthetic, realistic (but not real), patient data and associated health records in a variety of formats.Read our wiki for more information.Currently, Synthea™ features: Birth to Death Lifecycle Configuration-based statistics and demographics (defaults with Massachusetts Census data) Modular Rule System Drop in Generic Modules Custom Java rules modules for additional capabilities Primary Care Encounters, Emergency Room Encounters, and Symptom-Driven Encounters Conditions, Allergies, Medications, Vaccinations, Observations/Vitals, Labs, Procedures, CarePlans Formats FHIR® (STU3 v3.
Spark is Furore’s public domain FHIR® server build in C#.Spark implements a major part of the FHIR® specification and has been used and tested during the past HL7 WGM Connectathons. Furore and the community, will keep enhancing this server to support the latest versions and add functionality, but we welcome who wants to support this effort and help us make Spark a better reference platform and playground for FHIR®.DSTU-1The source code in the branch dstu1/master is up-to-date with the version of Spark running at .
The NextGen® Population Health Care Coordination Solution provides personalized care tools, enabling caregivers to deliver holistic, coordinated patient care that helps practices identify patient needs and communicate them at the right time, to the right people. Features Hands-on approach Lean on our professional services experts to arm your team with the tools, training, and clinical expertise to help you succeed. Participate effectively in value-based reimbursement models and achieve patient-centered medical home objectives.
NextGen Managed Cloud Services make it easier to access data without the expensive and time-consuming burden of maintaining in-house hardware and networking systems. As we proactively manage your IT systems, you can more efficiently optimize technology, usability, and uptime. Our services adjust quickly to your needs and goals, while enabling you to focus on care and save money. Features that let you focus on what matters most Operational efficiency
The Asymmetrik Extensible Server Framework for Healthcare allows organizations to build secure, interoperable solutions that can aggregate and expose healthcare resources via a common HL7® FHIR® - compatible REST API. This server framework currently supports both DSTU2 (1.0.2) and STU3 (3.0.1) simultaneously. You can decide to support both or just one by editing the configuration. The framework defines a core server, node-fhir-server-core, a simple, secure Node.js module built according to the FHIR® specification and compliant with the US Core implementation.
Crucible is a suite of open source testing tools for HL7® FHIR®. It is provided as a free service to the FHIR® development community to help promote correct FHIR® implementations. It currently can test for conformance to the FHIR® standard, score patient records for completeness, and generate synthetic patient data.We are actively seeking contributors. Visit our github page page for more information.
Based upon the 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk and their Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults, this application allows users to estimate a 10-year and/or lifetime risk score for atherosclerotic cardiovascular disease (ASCVD). These scores are estimated based upon Pooled Cohort Equations and lifetime risk prediction tools. The application presents relevant patient vitals and labs that factor into the estimated score(s), with a user-friendly display of current and lowest possible risks in a bar-graph setting.
ALARM MANAGEMENT An estimated 85 percent to 991,2 percent of alarms in healthcare facilities don’t require clinical intervention. Because of this high percentage of insignificant alerts, clinicians can develop “alarm fatigue,” which can result in them tuning out these notifications and missing the alarms that truly signal a patient’s critical medical crisis. Monitor alarms are designed to alert caregivers to changes in a patient’s condition and can save lives. However, as the number of alarms encountered by clinicians on a daily basis rises, it has become difficult for caregivers to distinguish between clinically significant alarms and nuisance alarms.