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Dr. John Halamka joins CLEW’s Scientific Advisory...

Prominent healthcare technology pioneer to advise CLEW as the company expands its product offering across the entire continuum of care

CLEW Medical has announced that Dr. John Halamka has joined its Scientific Advisory Board, enabling the company to benefit from his in-depth, leadership experience at the nexus of technology and healthcare.
Dr. Halamka currently serves as Executive Director of Beth Israel Lahey Health Technology Exploration Center. He also leads innovation for Beth Israel Lahey Health, serves as Chairman of the New England Healthcare Exchange Network (NEHEN), is the International Healthcare Innovation professor at Harvard Medical School, and is a practicing emergency physician. Previously, Dr. Halamka served as CIO of Beth Israel Deaconess Healthcare System.
CLEW’s AI-Machine Learning tools convert medical data into life-saving medical knowledge that can be used to reduce costs and improve clinical outcomes. Currently focused on critical care, CLEW’s machine learning predictive technology allows clinicians to benefit from proactive, predictive assessment, a more collaborative team approach and efficient clinical resource allocation. Dr. Halamka’s insights into largescale healthcare technology systems will assist CLEW as it expands its product offering to include all care settings.
Commenting on the announcement, Gal Salomon, CLEW’s CEO said, “It is a great privilege and vote of confidence to have someone of Dr. Halamka’s caliber join our Advisory Board. The Board plays a pivotal role in the company’s development, ensuring that our solutions deliver true patient value and can be fully integrated into the clinical workflow.”
The Chairman of the Scientific Advisory Board, Dr. James M. Blum, added, “CLEW’s vision is to deploy its AI-powered technology across the entire continuum of care. Dr. Halamka’s experience and hands-on knowledge about large-scale healthcare information systems are important additions to this effort. We look forward to collaborating with Dr. Halamka in shaping this vision.”
John Halamka added, “The volume and quality of patient data collected is increasing exponentially. I am honored to join the Scientific Advisory Board and I look forward to working with the CLEW team as they use AI and machine learning technologies to convert this data in actionable medical knowledge.”

Patient View
Rapid, clear, consistent patient data summary and visualization

  • Patient risk stratification (high, moderate and low risk patients)
  • Intubated patients
  • Vasopressors/inotrope support
  • Empty beds
  • Key patient and unit information
  • Occupancy, ventilator status and vasoactive medication
  • User selectable vital sign display
  • Summary of all relevant lab results
    Dynamic and collaborative caregiver task list
  • Aggregate patient demographicsand PMH (past medical history) andpredicted risk level

Patient View
Rapid, clear, consistent patient data summary and visualization
High Risk Patients

  • Tasks
  • New Admissions (pulled from a left sidebar)
  • User selectable vital sign display
  • Summary of all relevant lab results
  • Dynamic and collaborative caregiver task list
  • Aggregate patient demographics, PMH and risk level

Unit View
Full TeleICU situational awareness, displaying patient data and predicted state from all units and highlighting all notifications

  • Patient risk stratification (high, moderate and low risk patients)
    Intubated patients
  • Patients on vasoactive medication
    Unit occupancy
  • Patients on vasoactive medication
  • High-level estimation of the overall unit acuity

    Key patient and unit information

     

Work List
Integration with the TeleICU workflow by gathering all notifications, tasks, new admissions and high-risk patients

  • Notifications
  • High Risk Patients
  • Tasks
  • New Admissions (pulled from a left sidebar)

Unit View by Layout

Full ICU situational awareness, displaying patient data and predicted risk level, for one unit or multiple units. The display highlights all notifications, low risk patients and other key clinical information, to provide multi-dimensional situational awareness.

  • Patient risk stratification (high, moderate and low risk patients))
  • Intubated patients
  • Vasopressors/inotrope support
  • Empty beds
  • Key patient and unit information
  • Occupancy, ventilator status and vasoactive medication
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