A patient planning and tracking system for a cardiac surgery department

GB Masee; WA Dijk; WRM Dassen; MH Baljon

A patient planning and tracking system for a cardiac surgery department

GB Masee^*
, WA Dijk
, WRM Dassen
, MH Baljon

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

Abstract

Patients undergoing cardiac surgery occupy a cascade of beds during their stay in hospital. The length of stay at each sub-department depends on many factors such as the condition of the patient, the performed therapeutic procedure and the attending staff.

The patient throughput therefore may be hampered in many ways and is subject to vast communication processes in which copying of information is a substantial component. In order to optimize this throughput a software package has been developed based on a computer model predicting the average stay of a patient on each sub-department, given the surgical procedure and his clinical condition. This way the overall flow of patients can be predicted and potential problems inpatient logistics can be foreseen. Furthermore sharing of information will reduce the workload and the number of misinterpretations.

Original language	English
Title of host publication	COMPUTERS IN CARDIOLOGY 2003, VOL 30
Editors	A Murray
Place of Publication	NEW YORK
Publisher	IEEE (The Institute of Electrical and Electronics Engineers)
Pages	355-358
Number of pages	4
ISBN (Print)	0-7803-8170-X
Publication status	Published - 2003
Event	30th Annual Meeting on Computers in Cardiology - , Greece Duration: 21-Sept-2003 → 24-Sept-2003

Publication series

Name	COMPUTERS IN CARDIOLOGY
Publisher	IEEE
Volume	30
ISSN (Print)	0276-6574

Other

Other	30th Annual Meeting on Computers in Cardiology
Country/Territory	Greece
Period	21/09/2003 → 24/09/2003

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@inproceedings{34a02714b1834031a7c7fb98736e83cf,

title = "A patient planning and tracking system for a cardiac surgery department",

abstract = "Patients undergoing cardiac surgery occupy a cascade of beds during their stay in hospital. The length of stay at each sub-department depends on many factors such as the condition of the patient, the performed therapeutic procedure and the attending staff.The patient throughput therefore may be hampered in many ways and is subject to vast communication processes in which copying of information is a substantial component. In order to optimize this throughput a software package has been developed based on a computer model predicting the average stay of a patient on each sub-department, given the surgical procedure and his clinical condition. This way the overall flow of patients can be predicted and potential problems inpatient logistics can be foreseen. Furthermore sharing of information will reduce the workload and the number of misinterpretations.",

author = "GB Masee and WA Dijk and WRM Dassen and MH Baljon",

year = "2003",

language = "English",

isbn = "0-7803-8170-X",

series = "COMPUTERS IN CARDIOLOGY",

publisher = "IEEE (The Institute of Electrical and Electronics Engineers)",

pages = "355--358",

editor = "A Murray",

booktitle = "COMPUTERS IN CARDIOLOGY 2003, VOL 30",

note = "30th Annual Meeting on Computers in Cardiology ; Conference date: 21-09-2003 Through 24-09-2003",

}

A patient planning and tracking system for a cardiac surgery department. / Masee, GB; Dijk, WA; Dassen, WRM et al.
COMPUTERS IN CARDIOLOGY 2003, VOL 30. ed. / A Murray. NEW YORK: IEEE (The Institute of Electrical and Electronics Engineers), 2003. p. 355-358 (COMPUTERS IN CARDIOLOGY; Vol. 30).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A patient planning and tracking system for a cardiac surgery department

AU - Masee, GB

AU - Dijk, WA

AU - Dassen, WRM

AU - Baljon, MH

PY - 2003

Y1 - 2003

N2 - Patients undergoing cardiac surgery occupy a cascade of beds during their stay in hospital. The length of stay at each sub-department depends on many factors such as the condition of the patient, the performed therapeutic procedure and the attending staff.The patient throughput therefore may be hampered in many ways and is subject to vast communication processes in which copying of information is a substantial component. In order to optimize this throughput a software package has been developed based on a computer model predicting the average stay of a patient on each sub-department, given the surgical procedure and his clinical condition. This way the overall flow of patients can be predicted and potential problems inpatient logistics can be foreseen. Furthermore sharing of information will reduce the workload and the number of misinterpretations.

AB - Patients undergoing cardiac surgery occupy a cascade of beds during their stay in hospital. The length of stay at each sub-department depends on many factors such as the condition of the patient, the performed therapeutic procedure and the attending staff.The patient throughput therefore may be hampered in many ways and is subject to vast communication processes in which copying of information is a substantial component. In order to optimize this throughput a software package has been developed based on a computer model predicting the average stay of a patient on each sub-department, given the surgical procedure and his clinical condition. This way the overall flow of patients can be predicted and potential problems inpatient logistics can be foreseen. Furthermore sharing of information will reduce the workload and the number of misinterpretations.

M3 - Conference contribution

SN - 0-7803-8170-X

T3 - COMPUTERS IN CARDIOLOGY

SP - 355

EP - 358

BT - COMPUTERS IN CARDIOLOGY 2003, VOL 30

A2 - Murray, A

PB - IEEE (The Institute of Electrical and Electronics Engineers)

CY - NEW YORK

T2 - 30th Annual Meeting on Computers in Cardiology

Y2 - 21 September 2003 through 24 September 2003

ER -

A patient planning and tracking system for a cardiac surgery department

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