C. Bain

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Developing effective hospital management information systems: A technology ecosystem perspective

Christopher A. Bain, C. Bain, 2014 .

Predicting Medical Emergency Team Calls, Cardiac Arrest Calls and Re-Admission after Intensive Care Discharge: Creation of a Tool to Identify At-Risk Patients

Christopher A. Bain, M. Bailey, T. Bucknall, 2018, Anaesthesia and intensive care.

Development of and usability findings for a web-based osteoarthritis guide

G. Raikundalia, C. Brand, J. Tropea, 2010 .

Incidence of contrast induced nephropathy post CT pulmonary angiogram: A pilot study using health informatics

H. Kavnoudias, C. Bain, Shalini Bigwood, 2014 .

A case study of centralised monitoring of hospital access performance.

Christopher A. Bain, M. Kennedy, C. Bain, 2008, Australian health review : a publication of the Australian Hospital Association.

A Computational Platform for Radiology Image Retrieval and Analysis

H. Kavnoudias, C. Bain, J. Seah, 2015 .

Selecting cases for feedback to pre-hospital clinicians - a pilot study.

Karen Smith, B. Mitra, C. Bain, 2016, Australian health review : a publication of the Australian Hospital Association.

OPDSS: A Strategic Management Information System for Hospital Outpatient Departments

G. Raikundalia, C. Bain, K. Ratnayake, 2008 .

A technology ecosystem perspective on hospital management information systems: lessons from the health literature

Craig Standing, Christopher A. Bain, C. Standing, 2009, Int. J. Electron. Heal..

Challenges in Managing Knowledge through Medical Record Management: A Case Study of an Australian Hospital

Christopher A. Bain, F. Burstein, C. Bain, 2014 .

Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis

Geoffrey I. Webb, C. Bergmeir, D. Pilcher, 2017, PloS one.

Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources

Ingrid Zukerman, Gholamreza Haffari, Karin M. Verspoor, 2016, J. Biomed. Informatics.

Multi-disciplinary Team Meetings for Cancer Care: Results of an Australian Survey

Rajesh Sharma, G. Raikundalia, C. Bain, 2013 .

Common laboratory tests predict imminent medical emergency team calls, intensive care unit admission or death in emergency department patients

Peter Davey, Elsa Loekito, Rinaldo Bellomo, 2013, Emergency medicine Australasia : EMA.

Evaluating classification power of linked admission data sources with text mining

Gholamreza Haffari, Karin M. Verspoor, Karin Verspoor, 2015 .

The 4 R’ S – REASON, REDcap, review and research - in a large healthcare organization

C. Bain, C. Manus, Bismi Jomon, 2015 .

Common laboratory tests predict imminent death in ward patients.

Peter Davey, Elsa Loekito, Rinaldo Bellomo, 2013, Resuscitation.

Admissions, patterns of utilization and disposition of cases of acute stroke in Brisbane hospitals

Christopher A. Bain, C. Bain, Surya Shah, 1989, The Medical journal of Australia.

Obstacles to Sustaining Cancer Care Multidisciplinary Team Meetings: An Australian Survey

Gitesh K. Raikundalia, Rajesh Sharma, Christopher Bain, 2013 .

Short-Term Forecasting of Emergency Inpatient Flow

Gad Abraham, Christopher A. Bain, Graham B. Byrnes, 2009, IEEE Transactions on Information Technology in Biomedicine.

Predicting overflow in an emergency department

Mark Fackrell, Christopher A. Bain, Christopher Bain, 2007 .

Evaluation of the impact of implementation of a Medical Assessment and Planning Unit on length of stay.

M. Kennedy, C. Brand, B. King-Kallimanis, 2010, Australian health review : a publication of the Australian Hospital Association.