Remote Presence Timely Discharge Management

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT00364117
Recruitment Status : Withdrawn (No patients were enrolled)
First Posted : August 15, 2006
Last Update Posted : May 7, 2013
Information provided by (Responsible Party):
Hackensack University Medical Center

August 11, 2006
August 15, 2006
May 7, 2013
August 2006
August 2008   (Final data collection date for primary outcome measure)
  • Timely patient discharge before 11 am
  • Patient satisfaction
  • Employee satisfaction
  • Patient Discharge before 11 a.m.
  • Patient Satisfaction
Complete list of historical versions of study NCT00364117 on Archive Site
  • Employee satisfaction
  • Physician satisfaction
  • Financial impact on medical center
Same as current
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Remote Presence Timely Discharge Management
Remote Presence Timely Discharge Management
The purpose of this study is to integrate Remote Presence technology in order to increase the number of timely patient discharges before 11 am from the medical center.
Reduction in beds coupled with the increased need for health care services has led to a supply and demand struggle or capacity management challenge for health care facilities. This is now recognized as a major public health issue. The impact is readily seen as overcrowding in emergency departments. At present 76% of hospitals' emergency departments (ETDs) are at or over capacity with 33% reporting ambulance diversions, the most common sign of overcapacity within a health care facility. Compounding the physical capacity problem is the "human capacity strain" as admitted patients remain in the ETD for prolonged periods waiting for beds. Delayed admission to patient care units significantly strains the financial resources, impedes "patient flow" ultimately impacting the quality of care, patient satisfaction and the "bottom line." Discharge before 11 am optimizes the availability of hospital beds to meet admission demands thereby avoiding a surge over capacity or "patient back log", ambulance diversions in ETD; the post anesthesia recovery unit, admissions office and critical care units. Conversely competing needs for the attending physician's physical presence off of the hospital premises; off of the unit (private practice and meetings) often delays patient discharge from before 11 am to the afternoon and evening.
Phase 2
Phase 3
Allocation: Non-Randomized
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Treatment
Patient Discharge
Behavioral: Timely Discharge (Remote Presence Technology)
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*   Includes publications given by the data provider as well as publications identified by Identifier (NCT Number) in Medline.
August 2008
August 2008   (Final data collection date for primary outcome measure)

Inclusion Criteria:

  • Adult patients
  • Primary care physicians in internal medicine
  • Primary care physicians/practice group with established discharge pattern after 11 am
  • Primary care physicians/practice group with fast access digital subscriber line (DSL) 300 kilobytes per second
  • Primary care physicians/practice group who have Hackensack Medical Center (HUMC) intranet access from pre-determined location

Exclusion Criteria:

  • Non-English speaking patients
  • Patients requiring acute level of care on the day of discharge
Sexes Eligible for Study: All
18 Years and older   (Adult, Senior)
Contact information is only displayed when the study is recruiting subjects
United States
Intouch Technologies Inc
Horizon Blue Cross Blue Shield
Not Provided
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Hackensack University Medical Center
Hackensack University Medical Center
Not Provided
Principal Investigator: Joseph Feldman, MD Hackensack University Medical Center
Hackensack University Medical Center
May 2013

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP