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Sponsored by: |
St. Michael's Hospital, Toronto |
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Information provided by: | St. Michael's Hospital, Toronto |
ClinicalTrials.gov Identifier: | NCT00670865 |
The purpose of this study is to determine whether a semi-automated electronic patient discharge summary program leads to increased community physician and housestaff satisfaction and patient outcomes as compared to conventional discharge reports.
Condition | Intervention |
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Patient Discharge Continuity of Patient Care Medical Records Systems, Computerized Hospital Information Systems |
Other: Electronic discharge summary system |
Study Type: | Interventional |
Study Design: | Health Services Research, Randomized, Open Label, Parallel Assignment |
Official Title: | Automated Versus Conventional Hospital Discharge Summaries and Prescriptions: A Randomized Controlled Trial |
Estimated Enrollment: | 204 |
Study Start Date: | May 2008 |
Estimated Study Completion Date: | July 2008 |
Estimated Primary Completion Date: | June 2008 (Final data collection date for primary outcome measure) |
Arms | Assigned Interventions |
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eDischarge: Experimental
The eDischarge arm will consist of two teams on the General Internal Medicine ward at St. Michael's Hospital who have been randomly assigned to use the electronic discharge summary program.
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Other: Electronic discharge summary system
The customized electronic discharge summary program will be used to generate patient discharge summaries.
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Traditional: No Intervention
The traditional arm will consist of two teams on the General Internal Medicine ward at St. Michael's Hospital who have been randomly assigned to use "traditional," dictated discharge summaries.
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For patients hospitalized with an acute illness, the days following discharge constitute a critical period.
Patients must adjust to changes in their medications, follow up with family doctors and other specialists and know what symptoms should prompt a return to hospital. The community physicians who follow them rely on information from their hospitalization to facilitate this transition, and provide continuity of care.
Communication between hospital and community physicians is essential to this process, and has traditionally been accomplished by a dictated discharge summary. Previous studies have shown that while dictated discharge summaries can be inaccurate, incomplete, or untimely, computer generated summaries are produced more quickly and accurately. Moreover, database-generated discharge summaries are preferred by physicians in the community.
We have designed a web-based computer program with quality assurance features that automatically generates timely discharge summaries. We aim to study this program over a 2 month period on our general medicine unit by means of a randomized controlled trial. Our hypothesis is that community physicians will prefer the computer generated summaries, over the standard dictated summaries. If effective, our system could be implemented more widely, and would stand to improve communication with community physicians, continuity of care, and patient safety.
Genders Eligible for Study: | Both |
Accepts Healthy Volunteers: | No |
Inclusion Criteria:
Exclusion Criteria:
Canada, Ontario | |
St. Michael's Hospital | |
Toronto, Ontario, Canada, M5B 1W8 |
Principal Investigator: | David M Maslove, MD | St. Michael's Hospital, Toronto |
Principal Investigator: | Chaim M Bell, MD, PhD, FRCPC | St. Michael's Hospital; University of Toronto |
Responsible Party: | St. Michael's Hospital ( David Maslove, MD. Chief Medical Resident ) |
Study ID Numbers: | 07-364 |
Study First Received: | April 7, 2008 |
Last Updated: | July 14, 2008 |
ClinicalTrials.gov Identifier: | NCT00670865 History of Changes |
Health Authority: | Canada: Ethics Review Committee |
Hospitalization Continuity of care Discharge summary |
Quality improvement Medical records systems Hospital information systems |