2,595 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Duke University in United States
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monitoring of patients notifying the anesthesia provider(s) of abnormal changes in vital signs and/or physical appearance of the patient. Clean anesthesia machines, monitors and equipment following procedures
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Experience with Application Integration (File Transfer, HL7, FHIR, API) Keeps current on new industry trends in a specific discipline and applies learnings to assignments. Takes personal responsibility
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able to identify learning needs and seek appropriate assistance or educational offerings. Perform other related duties incidental to the work described. JOB ELIGIBILITY REQUIREMENTS: Level I
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assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using
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with the public Understand and follow oral and written instructions Accept responsibility for accuracy and responsiveness Work under pressure Perform ECG and ECG related studies Basic computer skills
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and communicate appropriately nursing actions taken and patient responses. Teach patients and families in accordance with the nursing plan of care. Assist other nursing personnel in the delivery
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Experience Ability to find resources independently and work well with others Clear communication with patients, families, visitors, healthcare team, and leadership; able to teach patients and families based
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assessments, treatment, and follow-up. Able to use fine motor skills Able to record activities, document assessments & interventions; prepare reports and presentations; Able to use computer and learn new
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status Ability to use computer and learn newsoftware programsAble to document and communicate pertinent information using computerand/or paper documen tation toolsAbility to navigate the entity to provide
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certifications, as well as post master’s certificates and certification alignment programs. Commitment to ongoing learning for APPs through annual CME funding and access to high-quality Duke CME offerings