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Description
John Snow Labs has developed a sophisticated large language model (LLM) specifically for the medical field, aimed at transforming how healthcare organizations utilize artificial intelligence. This groundbreaking platform is designed exclusively for healthcare professionals, merging state-of-the-art natural language processing (NLP) abilities with an in-depth comprehension of medical language, clinical processes, and compliance standards. Consequently, it serves as an essential resource that empowers healthcare providers, researchers, and administrators to gain valuable insights, enhance patient care, and increase operational effectiveness. Central to the Healthcare LLM is its extensive training on a diverse array of healthcare-related materials, which includes clinical notes, academic research, and regulatory texts. This targeted training equips the model to proficiently understand and produce medical language, making it a crucial tool for various applications such as clinical documentation, automated coding processes, and medical research initiatives. Furthermore, its capabilities extend to streamlining workflows, thereby allowing healthcare professionals to focus more on patient care rather than administrative tasks.
Description
Our goal is to facilitate and manage clinical processes within healthcare environments, enhancing the capabilities of clinical teams while optimizing business intelligence. We are committed to innovation and are actively transforming the landscape of healthcare. Together, we can make a significant and meaningful difference in the industry. The electronic health record (EHR) has established itself as the primary centralized patient file within healthcare institutions, offering comprehensive and instant access to all authorized individuals. In response to the challenges posed by the COVID-19 pandemic, the CHUM’s nursing care and technology departments implemented vital signs capture technology across two units focused on monitoring COVID-19 patients. More than 10,000 healthcare professionals rely on our solutions to focus more effectively on their core healthcare responsibilities. By utilizing our expertise and cutting-edge technologies, we empower healthcare providers to deliver superior care through the availability of centralized, real-time clinical information, ultimately striving for a healthier future for all. This commitment to improving healthcare practices is what drives us forward.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Databricks
CGM LABDAQ
Databricks
Defog
FLAN-T5
GPT-3.5
GPT-4
Llama 2
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Databricks
CGM LABDAQ
Databricks
Defog
FLAN-T5
GPT-3.5
GPT-4
Llama 2
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$75 per month
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
John Snow Labs
Country
United States
Website
www.johnsnowlabs.com/healthcare-llm/
Vendor Details
Company Name
Purkinje
Founded
2005
Country
United States
Website
www.purkinje.com
Product Features
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
Medical Practice Management
Claims Management
E-Prescribing
EMR / EHR
HIPAA Compliant
Insurance Eligibility Verification
Inventory Management
Multi-Office
Multi-Physician
Patient Billing
Patient Portal
Patient Records
Patient Registration
Patient Scheduling
Physician Scheduling