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Description
To enhance technological efficiency, improve data analytics, and address medical needs, leading hospitals in both the US and Europe are currently utilizing Aurora to oversee every facet of patient IVF cycles and conduct research on Cardiomyopathy patients. The landscape of medicine, along with the understanding of diseases and the decisions required, is poised for transformation. Our software is adaptable, designed to facilitate prompt modifications tailored to the unique requirements and procedural standards of your organization. A comprehensive view of patient data is essential for making informed treatment choices. This encompasses phenotype and genotype information, laboratory test results, family medical histories, pedigrees, and narrative reports. All clinical information is systematically gathered, analyzed, and displayed in a cohesive package. Clinicians have the capability to search and access data through various methods, including a complete overview of longitudinal studies. Additionally, our products are crafted by a collaboration of software engineers and data professionals who partner closely with clinicians across different specialties to ensure that the tools meet practical needs. By integrating these elements, we strive to empower healthcare providers with the insights necessary for optimal patient care.
Description
Preventive medicine represents the next frontier in healthcare. Our mission is to assist healthcare providers in identifying and addressing high-risk patients effectively, thereby ensuring patient safety. This proactive approach aims to reduce the incidence of Adverse Drug Reactions (ADRs) within healthcare facilities, where studies show that 5%-10% of hospitalized patients experience ADRs, leading to increased risks, prolonged hospital stays, and financial losses due to denied reimbursements for extra days and procedures. Notably, these adverse events are avoidable. We collaborate with Accountable Care Organizations (ACOs), Health Maintenance Organizations (HMOs), and payers to minimize unnecessary emergency room visits and hospitalizations, particularly focusing on the elderly population, as data indicate that 15%-30% of ER visits for patients aged 65 and older are attributed to ADRs, frequently resulting in hospital admissions. These preventable occurrences highlight the importance of our work. Our approach is founded on advanced scientific principles that integrate multidisciplinary research. Our technology leverages cutting-edge medical research alongside innovative data science, creating a robust platform that leads to improved patient outcomes and enhances overall healthcare efficiency.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Boston Advanced Analytics
Country
United States
Website
www.bostonadvancedanalytics.com/technology-emr-software/aurora/
Vendor Details
Company Name
mydimed
Country
Israel
Website
www.mydimed.com
Product Features
Electronic Medical Records (EMR)
Appointment Management
Charting
Compliance Tracking
E-Prescribing
E/M Coding
HIPAA Compliant
Handwriting Recognition
Integrated Telehealth
MIPS Certified
Meaningful Use Certified
ONC-ATCB Certified
Patient Portal
Self Service Portal
Voice Recognition
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis