1,812 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Duke University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, hospitalization, (i.e. advance directives, consents for treatment, diagnosis and prognosis, treatment plan, follow-up appointments and Health Care Education) are accurately communicated. The patient's questions
-
information using computer and/or paper documentation tools. Ability to establish and maintain effective working relationships with patients and hospital staff. Working knowledge of principles and practices
-
cash to be collected based on insurance plan. Check-out patients. Make return appointments by scheduling patients into the correct appointment type, entering the primary care physician or referring
-
to patients according to PRMO credit and collection policies. Determine the amount of cash to be collected based on insurance plan. Check-out patients. Make return appointments by scheduling patients
-
considerations. Exhibit age-appropriate competency skills relevant to the patient’s individual conditions. Follow established intervention protocols and adjust the plan of care as needed. Discharge patients when
-
oral and written instructions. Ability to document and communicate pertinent information using computer and/or paper documentation tools. Ability to establish and maintain effective working relationships
-
oral and written instructions. Ability to document and communicate pertinent information using computer and/or paper documentation tools. Ability to establish and maintain effective working relationships
-
research or scholarship. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research training under
-
based on insurance plan contracts/guidelines, document in billing system per policy and procedure. Enter and update referrals as required. Communicate with insurance carriers regarding clinical
-
systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal