Providers use MilagroAI every day to prevent adverse events, save lives and reduce the cost of care.
MilagroAI was founded to address the ongoing problems of Hospital Acquired Infections and Readmissions, issues that cause significant morbidity and mortality for patients, and increase the cost of care for hospitals. In the process, we have reinvented the way that Artificial Intelligence is applied to predictive analytics in healthcare, making the process real-time, contextual based, faster, more accurate and population specific.
Solutions
Milagro platform continually analyzes all relevant data from the electronic medical record, monitors and other sources both structured and unstructured data. Our innovative contextual clinical text analytics technology can interpret in real time complex clinical context and translate it into a meaningful and actionable information about the patient.
Real time surveillance
Improve quality of care with hospital-wide surveillance for hospital-acquired infections (HAIs)
Early detection
Alert clinicians to patient problems such as bloodstream infection before clear clinical signs are present
Real time risk score
Reduce patient complications with predictive information for HAIs and 30-day readmission
Real time surveillance
Improve quality of care with hospital-wide surveillance for hospital-acquired infections (HAIs)
Early detection
Alert clinicians to patient problems such as bloodstream infection before clear clinical signs are present
Real time risk score
Reduce patient complications with predictive information for HAIs and 30-day readmission
Technology
More then 70% of the real-time relevant information is locked in unstructured data sources such as hospitalization documents, Radiology summaries, surgery summaries, Flow sheets and more, and most of the structured data is episodic, noisy, sparse and irregular
Milagro technology turns all the relevant trapped and noisy data into simple, clear and actionable real-time information about the patient
Milagro technology turns all the relevant trapped and noisy data into simple, clear and actionable real-time information about the patient
- Text Analytics automatically extract complex clinical concepts from unstructured data
- Reasoning Engine Transform episodic, noisy, sparse and irregular data to a valid meaningful medical concept
- Algorithms Engine automate in real-time published complex algorithms like CDC guidelines
- AI (Deep learning) learn, create and process in real-time new AI predictive algorithms
Customers
news
OUR TEAM
Amit May-Dan
Co-Founder & CEO
Amit has over 20 years of experience leadership and senior management in technology, information services, and consulting in the field of healthcare analytics.
Gregory Hobbs MD MPH
CEO Milagro USA
Dr. Hobbs is an emergency physician with 25 years experience in leadership and senior management in academic and clinical emergency medicine as well as in the healthcare industry.
N.K. Skip Best
SVP for Sales and Channel Partnerships
Skip has 25 years’ experience in healthcare information technologies spanning all forms of clinical, operational, interoperability and financial systems.
Ofer Derech
VP R&D
Ofer has an extensive experience in research and development management and is one of the leading analytics professionals in Israel.
Aviram Weiss MD
CMIO
Medicine Doctor with over a decade of experience in medicine and healthcare informatics – as a caregiver, commander, researcher, policymaker.
Alon Alter
Innovation manager
Alon spent the majority of his career around technology innovation, leading new disruptive technology in big corporations and in innovative startups as well
Gal Nitzan
Technology manager
Gal spent the majority of his career as a lead architect and lead developer, introducing disruptive and exciting new technologies to the projects he was part of
Henry M. Kaiser PsyD MBA
Strategic business development
Henry spent the majority of his career with Kaiser Foundation health Hospitals & health plan serving in a variety of roles including board member and as a trustee of the Kaiser Family Foundation
Articles
Dr. Eyal Zimlichman chief medical officer at the Sheba medical center talking about using MilagroAI hospital wide real time surveillance for hospital acquired infections
careers
Java Rules Engineer - Tel Aviv-Yafo, Israel - 54353
Milagro is seeking a Java Rules Engineer to work in our R&D center.
Responsibilities for the Java Rules Engineer include:
Apply Now Responsibilities for the Java Rules Engineer include:
- Design, Develop and implement Business Rules Management Systems
- Develop the underlying rules engine based on Java
- Build complex Decision Models/trees based on rule set
- Manage client expectations throughout the product implementation
- 2+ years of experience with java development
- Demonstrated expertise with Business Rules Management Systems ( ODM, iLog, JRules, Blaze Advisor, etc.)
- Hands on technical experience coding, testing, and documenting(Java specifically)
- Ability to interface with client business and technical teams effectively
- Experience developing decision trees/models
Deep Learning Engineer - Tel Aviv-Yafo, Israel - 3532
We are looking for a versatile engineer who has demonstrated capabilities to develop, benchmark, and validate a wide variety of deep neural network architectures to extract knowledge and information from clinical information in real-time.
Responsibilities and Duties
Apply Now Responsibilities and Duties
- Develop state-of-the-art and novel deep neural network architectures.
- Develop training and testing pipelines to assess the performance of these architectures on relevant image processing tasks.
- Keep up with deep learning literature and research publications in order to implement the latest techniques into our networks and pipelines.
- Develop machine-learning algorithms on a breadth of software frameworks (Keras, TensorFlow, Torch) and deploy on a diversity of hardware platforms.
- Have significant experience training Deep Networks, CNNs, LSTMS
- Experience with Keras (Tensorflow) a plus
- 2+ years Researching CV
- Masters or PhD in CS / EE or equivalent
Contact
- 500 Indigo Lane, Georgetown, Texas 78628, USA
- 7 Zamir, Hod Hasharon, Israel
- info@milagroai.com
- Mon-Fri - 08:00-19:00