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Your search keyword '"Georgiou, Andrew"' showing total 3 results
3 results on '"Georgiou, Andrew"'

1. The Impact and Usability of the eRIC System in the ICU - A Qualitative Study.

Author

LI, Julie, HARDIE, Rae-Anne, DAHM, Maria R., and GEORGIOU, Andrew

Subjects
INTENSIVE care units, ACADEMIC medical centers, MEDICAL information storage & retrieval systems, ATTITUDES of medical personnel, RESEARCH methodology, CROSS-sectional method, CONFERENCES & conventions, INTERVIEWING, DIGITAL health, QUALITATIVE research, WORKFLOW, CRITICAL care medicine, HEALTH attitudes, CLINICAL medicine, ELECTRONIC health records, PHYSICIANS, PATIENT safety
Abstract

The Intensive Care Unit (ICU) is an information-intense environment where more patient data points are recorded than in other wards. The electronic Record for Intensive Care (eRIC) is an ICU information system that integrates patient data every minute from multiple systems. Once implemented across New South Wales (NSW), eRIC will be one of the largest system-wide ICU clinical information systems in the world. This study explored experiences with the use of eRIC by ICU clinicians at an Australian metropolitan teaching hospital. Semistructured, in-depth interviews relating to physician electronic test management processes were conducted with 11 ICU clinicians and one clinical information system manager was observed in their use of the system. The introduction of eRIC resulted in an additional patient record, which was perceived to hold implications for workflow and patient safety. Study findings are valuable for informing implementation as the rollout of eRIC continues. [ABSTRACT FROM AUTHOR]

Published
2023
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2. Utilising Mobile Health Apps - A Comparison of GP Perceptions Across Australia and Germany.

Author

SCHROEDER, Tanja, NGUYEN, Amy D., SEAMAN, Karla, GEWALD, Heiko, and GEORGIOU, Andrew

Subjects
GENERAL practitioners, PATIENT participation, MOBILE apps, RESEARCH methodology, PHYSICIANS' attitudes, CONFERENCES & conventions, INTERVIEWING, SELF-efficacy, HEALTH literacy, PSYCHOSOCIAL factors, HEALTH insurance, MEDICAL prescriptions, PATIENT compliance, SOCIODEMOGRAPHIC factors, TELEMEDICINE
Abstract

Germany became the first country to accept certain mobile health (mHealth) apps for prescription with costs covered by statutory health insurance. Yet, this option has only been used to a limited extent. To develop an international comparison, this study investigates GPs' perceptions of mHealth apps with a medical purpose in Germany and Australia. We conducted semi-structured interviews to examine their perspective on introducing and using mHealth apps and their awareness of their impact on patient adherence, empowerment, and health literacy. The results show that prescribing mHealth apps in general practice seems feasible in Australia and doctors are highly receptive to it. [ABSTRACT FROM AUTHOR]

Published
2023
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3. Evaluation of the accuracy of diagnostic coding for influenza compared to laboratory results: the availability of test results before hospital discharge facilitates improved coding accuracy.

Author

Wabe, Nasir, Li, Ling, Lindeman, Robert, Post, Jeffrey J., Dahm, Maria R., Li, Julie, Westbrook, Johanna I., and Georgiou, Andrew

Subjects
HOSPITAL admission & discharge, INFLUENZA, NOSOLOGY, POLYMERASE chain reaction, PUBLIC hospitals, INFLUENZA diagnosis, HOSPITALS, RESEARCH, RESEARCH evaluation, RESEARCH methodology, LABORATORIES, RETROSPECTIVE studies, MEDICAL cooperation, EVALUATION research, COMPARATIVE studies, DISCHARGE planning, MEDICAL coding
Abstract

Background: Assessing the accuracy of diagnostic coding is essential to ensure the validity and reliability of administrative coded data. The aim of the study was to evaluate the accuracy of assigned International Classification of Diseases version 10-Australian Modification (ICD-10-AM) codes for influenza by comparing with patients' results of their polymerase chain reaction (PCR)-based laboratory tests.Method: A retrospective study was conducted across seven public hospitals in New South Wales, Australia. A total of 16,439 patients who were admitted and tested by either cartridge-based rapid PCR or batched multiplex PCR between January 2016 and December 2017 met the inclusion criteria. We calculated the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of ICD-10-AM coding using laboratory results as a gold standard. Separate analyses were conducted to determine whether the availability of test results at the time of hospital discharge influenced diagnostic coding accuracy.Results: Laboratory results revealed 2759 positive influenza cases, while ICD-10-AM coding identified 2527 patients. Overall, 13.7% (n = 378) of test positive patients were not assigned an ICD-10-AM code for influenza. A further 5.8% (n = 146) patients with negative test results were incorrectly assigned an ICD-10-AM code for influenza. The sensitivity, specificity, PPV and NPV of ICD-10-AM coding were 93.1%; 98.9%; 94.5% and 98.6% respectively when test results were received before discharge and 32.7%; 99.2%; 87.8% and 89.8% respectively when test results were not available at discharge. The sensitivity of ICD-10-AM coding varied significantly across hospitals. The use of rapid PCR or hospitalisation during the influenza season were associated with greater coding accuracy.Conclusion: Although ICD-10-AM coding for influenza demonstrated high accuracy when laboratory results were received before discharge, its sensitivity was substantially lower for patients whose test results were not available at discharge. The timely availability of laboratory test results during the episode of care could contribute to improved coding accuracy. [ABSTRACT FROM AUTHOR]

Published
2021
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