Studies in health technology and informatics
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Stud Health Technol Inform · Jan 2013
Detecting software failures in the MAUDE database: a preliminary analysis.
The MAUDE (Manufacturer and User facility Device Experience) was analyzed to identify challenges in detecting software failure causing Medical Device (MD) adverse events.
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Stud Health Technol Inform · Jan 2013
Clinical decision support systems: data quality management and governance.
This chapter examines data quality management (DQM) and information governance (IG) of electronic decision support (EDS) systems so that they are safe and fit for use by clinicians and patients and their carers. This is consistent with the ISO definition of data quality as being fit for purpose. ⋯ It must also include protocols and mechanisms to monitor the safety of EDS, which will feedback into DQM & IG activities. Ultimately, DQM & IG must be integrated across the data cycle to ensure that the EDS systems provide guidance that leads to safe and effective clinical decisions and care.
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Stud Health Technol Inform · Jan 2013
Measuring the performance of electronic health records: a case study in residential aged care in Australia.
Measuring the performance of electronic health records (EHR) is an important, yet un-resolved challenge. Various measurements have addressed different aspects of EHR success, yet a holistic, comprehensive measurement tool needs to be developed to capture the potential EHR success variables completely. ⋯ The instrument was used to measure the performance of aged care EHR systems in three aged care organizations. The results suggest that the instrument was reliable.
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Stud Health Technol Inform · Jan 2013
Clinical handover improvement in context: exploring tensions between user-centred approaches and standardisation.
User-centred approaches in the development and evaluation of health information systems promote the importance of involving users and understanding their social contexts to optimise the quality and safety of these systems for patient care. Simultaneously, the standardisation of clinical practices has also been advocated to improve the quality and safety of patient care. In the context of clinical handover improvement within three different departments in one tertiary teaching hospital, this paper highlights the potential for tensions between these two approaches and explores their implications. ⋯ This led to the project developing distinct minimum data sets for each of the three departments that posed challenges for efforts to standardise handover practices across the hospital and for building an integrated information system. While on the one hand accommodating unique departmental user requirements was valuable, they revealed the potential for the introduction of quality and safety risks at the organisational level. To resolve these tensions, the project team developed an approach called flexible standardisation that has now been embedded in Australia' s national guidelines on clinical handover improvement.
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Stud Health Technol Inform · Jan 2013
Design of the asthma treat smart system in a pediatric institution.
Asthma is one of the most common chronic pediatric conditions. Providing evidence-based, guideline-appropriate care for asthma is complex. A computerized system may help providers with guideline compliance. ⋯ Severity and medication recommendation are provided for the provider. A personalized action plan and medication summary including medications, etc. is created. The system is successfully used in 6 outpatient clinics and current work is focused on integration with the electronic health record.