Understanding and Lowering Hospital Average Length of Stay
Clinicians and hospital administrators are continuously faced with acute hospital capacity challenges caused by longer than estimated length of stay. These challenges lead to ongoing service and financial management problems. In order to address these issues, there must be a thorough understanding of the drivers of length of stay. Once these are understood, the magnitude of each potential driver can be determined and plans crafted and implemented to address them and improve the ALOS. It is also critical that, during and following implementation, the appropriate process and outcome performance measures be tracked to facilitate monitoring and management of progress. Information systems play an important role in both the provision of information on existing practice together with the ongoing monitoring of implemented plans.
More details see attached.
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Professor Abdul Roudsari
Head of Centre,
Centre for Health Informatics (CHI),
City University,
Northampton Square,
London EC1V OHB.
Tel: +44-20-7040-8367
Fax: +44-20-7040-8364
E-Mail: a.v.roudsari@...
http://chi.soi.city.ac.uk/
http://www.soi.city.ac.uk/pgcourses/index.html
http://www.ukchip.org/
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