zMed-ICU Automation

Data Driven Intelligent Solution for Critical Care and for all Inpatient Clinical Pathways

Data Integration, Workflow Automation, and Intelligence for Emergency, Operation Rooms, Wards and for Specific ICUs - Neuro, Cardiothoracic, Surgical, Heart and Lung Transplant, Medical, and Neonatal

Automatic Data Capture from Medical Devices

Automatic data capture from Multiple Medical Devices including Patient Monitors, Syringe Pumps, and Ventilators from various device manufacturers, using specialized IoT devices along with combination of server and database applications

ICU Specific Features

ICU specific Features customizable for your ICU. Integration of ICU specific advanced medical devices ICU specific Clinical Scores and Advanced Alerts

Anywhere, Anytime, Any Device

Live real time data is accessible by users from anywhere using a web browser. This helps in expert clinical decision and advice from anywhere. Physicians can have access to the clinical history, live vitals, live waveforms and playback.

Workflow Automation

Advanced user friendly modules for workflow automation for all clinical pathways Automatic data integration of device and lab data, completely replaces your paper based workflow. Nurse overload related to data entry is reduced more than 70%. Modules cover Fluid Balance, Nurse and Physician Notes, Interventions, Drug Prescription and Administration, Assessment, Patient Demographic data and Clinical History, Lab Data, and Procedures Automatic pdf reports. Medico-Legal compliant reports

Comprehensive Data Integration - Lab, Radiology & HIS - Data Security and Privacy

Data from Medical Devices, laboratory results, and radiology images are integrated. Follow latest Healthcare standards. Inbuilt HL7 and FHIR interface engine. HIPAA Compliant

Data Driven Predictive Intelligence - Alerts

The comprehensive real-time collection of data enables computation of various clinical scores and provide predictive analytics and alerts. Sepsis, and other critical conditions are predicted and shown on the dashboard. Drug suggestion engine and Clinical Decision Support. Physician and user customized alerts for vitals, lab data, and application predicted critical alerts. Alerts can be received on email, SMS, Whatsapp or on Telegram

COVID-19 Monitoring and Clinical Management in the ICU

Remotely monitor Ventilator and Patient monitor. Alerts and Reports
COVID-19 specific ICU protocols and Care Bundles.
Analytics, auto triaging, Clinical Decision Support
Email us to know more: covid19@zbliss.com

Remote Deployment and Setup

We provide detailed documents for setting up the network and server to the Hospital
zMed Tech team then deploys the zMed application remotely
Minimal hardware and IT requirements
On-premises and Cloud server

COVID-19 Specific Interventions. Protocols and Care bundles based on WHO guidelines

Configurable custom workflow
Clinical management of SARI, SRD, and ARDS
Sepsis detection and Management
Fluid Management Strategy

COVID-19 specific analytics, reports, auto-triaging, and Clinical Decision Support

Auto computation of clinical scores
Auto-triaging. Mild, Severe, and Critical illness
Alerts and reports

Founder and CEO

Jayakanth S. Kesan

Founder, CEO, and Managing Director

BE, MS, MBA (Dartmouth), MPA (Harvard) 15+ years of engineering and business experience globally

Sales, Marketing, and Project Management

Kailash C. Behera

Head Project and Program Management

15+ Years of Experience in Project and Program Management in IT and Healthcare. PMP and PRINCE2 Certified. Manages projects related to customers, sales, and internal projects.

Kaushik Bahal

Regional Head of Sales and Marketing - Delhi NCR - North India

More than 15 years of experience in Sales and Marketing. Specifically in Healthcare and B2B Sales.

Dr. Kritika Ranjan

Sales and Marketing Specialist - Mumbai Region

More than 7 years of experience in Sales and Marketing working specifically for Hospitals. B2B sales.

Software Engineering, and Product Development

Pragadeesh

Senior Software Engineer

B.E (CSE), Full Stack Software Development, Database Design, Cloud Management, Mobile Application Development, and Machine Learning

Anish Saha

Data Scientist-Software Engineer

B.Tech (CSE) Machine Learning modules for predicting clinical events. Full Stack Software Engineering

Mohana Preethi M

Product and Project Associate

B.Tech (Biotechnology), MBA (Hospital Management and Health Systems) Past experience in Managing Hospital Operations. Now managing, Software clinical features, product specification and quality. Customer interface.

Karthic Ambalavanan

Software Engineer

B.E (CSE), Full Stack Software Engineering. Application development, UI

Gnanasudanthiran M