Personalising

Healthcare Predictions

Customers

MAX
AIIMS-R
Fortis

Products

ZEVAC

Antimicrobial stewardship with Artificial Intelligence

ZEVAC helps Anti-Microbial Stewardship teams optimise clinical outcomes and minimise antimicrobial resistance by improving cure rates and minimising collateral effects, achieved by:

  • Stratified Antibiogram: Personalised at Institute’s Level
  • Localised Antibiotic Therapy Guidelines
  • Antibiotic Suggestions: Personalised at Patient Level

ZEVAC’s personalised suggestions help clinicians in identifying the chances of patient being infected to better guide antibiotic therapy

Click to know more »

Bezel-Less Macbook Pro with Touch Bar Mockup by Anthony Boyd Graphics
Druid

DRUID

Infection Control with Artificial Intelligence

DRUID helps Infection Control teams manage cross-infections in the institute by improving surveillance, early outbreak detection and identifying high-risk individuals

  • Infection Surveillance
  • Intra-Hospital Communication Module
  • Outbreak Alerts
  • HAI Identification & Classification
  • Identification of High-Risk Individuals

Click to know more »

SEER

Increase Patient Retention with Artificial Intelligence

SEER helps hospitals maximise revenue by minimising in-patient leakage and maximising patient engagement via personalised and accurate estimations

  • Length of Stay Estimation
  • Bill Amount Estimation
  • OP-IP Conversion Chances

Click to know more »

SEER

SKED

Streamline Resource Allocation with Artificial Intelligence

SKED optimises OPD appointment scheduling by considering no-show chances for each appointment taken in advance.
SKED dynamically updates slot(s) availability to meet the desired target as defined by the institute

  • No-show Prediction
  • Optimum Resource Utilisation
  • Admin Control
  • Realtime Updated

Click to know more »

About Us

Circle of Life was formed to create an environment in which data backed decision-making can take place in the healthcare sector. At the heart of the business is the dichotomy that everyone talks about shortages in Healthcare but no one looks at the efficiency in utilization.

Our Team

Our team of data scientists, medical researchers, operations specialists and machine learning experts have been working with some of the largest healthcare databases in the world and have developed proprietary algorithms using a combination of human and artificial intelligence.

Collaborations

IIITD
Brookings India

Publications

    Hospital beds: Case of perishable inventory  Hospital Bed inventory is perishable in nature. Therefore the more efficiently a bed is vacated, the faster is the bed turnaround. Further the duration from the preparation of bill to actual vacation of the bed by patient to fumigation of the
    Hospitals want to extend your stay. Really?  It has been observed that typical conversations in Hospital wards post the surgery are as follows:-
    Making healthcare accessible: A machine learning approach  India continues to struggle with providing basic healthcare for its fellow citizens even after decades of rapid economic growth. Accessibility and disparity still are the primary reasons behind the misery. It won’t require an ep
    Practical challenges in using healthcare data from large hospitals for predictive analysis  Artificial Intelligence is leading one of the biggest revolutions in the healthcare industry.
    Standardizing medical data: Data mining @ CoL  One of the most apt aphorisms for data science is the saying – ‘your results are as good as your data’. Due to an upsurge in electronic storage of medical data, one expects that the analysis of the data to be a
    Antimicrobial Stewardship Programs in India  The world population is growing fast, and India is touted to hit a population of 1.7 billion people by 2050
    Improving Patient Retention and Satisfaction Using SEER  A hospital is only as good as the satisfaction of the patients that avail its services. A happy patient can recommend the hospital to their friends and family creating a profitable environment for the hospital.
Close Menu