Studies in health technology and informatics
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Stud Health Technol Inform · Jan 2013
Acquisition of patient information from nurses by other health professionals under electronic medical record implementation.
Most electronic medical record (EMR) systems in Japan are equipped with nursing documentation functions. Electronic nursing records (ENRs) are much more accessible to doctors and paramedical staff than paper-based record systems. Face-to-face communication might be used less often to acquire patient information collected by nurses if EMR systems were effectively used. ⋯ There were 153 responses, which showed that 51% of doctors and 16% of paramedical staff still often used face-to-face communication even though more than 70% of them often accessed the ENR. Only 35% of doctors and paramedical staff recognized that the EMR system helped reduce the time needed to acquire patient information; furthermore, 32% thought that using the EMR system to acquire patient information was bothersome. These results indicate that the operability of EMR systems is still insufficient for health professionals.
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Data governance is characterised from broader definitions of governance. These characteristics are then mapped to a framework that provides a practical representation of the concepts. This representation is further developed with operating models and roles. ⋯ This assists the reader in understanding how data governance would help address the issues or achieve a better outcome. These elements together enable the reader to gain an understanding of the data governance framework and how it applies in practice. Finally, some practical advice is offered for establishing and operating data governance as well as approaches for justifying the investment.
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Stud Health Technol Inform · Jan 2013
Statistical text classifier to detect specific type of medical incidents.
WHO Patient Safety has put focus to increase the coherence and expressiveness of patient safety classification with the foundation of International Classification for Patient Safety (ICPS). Text classification and statistical approaches has showed to be successful to identifysafety problems in the Aviation industryusing incident text information. It has been challenging to comprehend the taxonomy of medical incidents in a structured manner. ⋯ An illustrative example for classifying look-alike sound-alike (LASA) medication incidents using structured text from 227 advisories related to medication errors from Global Patient Safety Alerts (GPSA) is shown in this poster presentation. The classifier was built using logistic regression model. ROC curve and the AUC value indicated that this is a satisfactory good model.
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Stud Health Technol Inform · Jan 2013
Propensity of people with long-term conditions to use personal health records.
An exploratory study was conducted to understand patient propensity to use a Personal Health Record (PHR) linked to their primary care clinicians' Electronic Health Record (EHR). Individuals with long-term conditions rely on information exchange for effective self-care. PHRs could be helpful. The research questions were: How do we know if certain people will use PHRs for self-care? ⋯ Patient experience with a PHR linked to their EHR kept by their GP shows positive perceptions regarding the PHR usefulness. Future research could develop guidelines for clinicians to help select patients for PHR use in self-care.
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Stud Health Technol Inform · Jan 2012
Personalised mobile health and fitness apps: lessons learned from myFitnessCompanion®.
Smartphones and tablets are slowly but steadily changing the way we look after our health and fitness. Today, many high quality mobile apps are available for users and health professionals and cover the whole health care chain, i.e. information collection, prevention, diagnosis, treatment and monitoring. Our team has developed a mobile health and fitness app called myFitnessCompanion® which has been available via Android market since February 2011. ⋯ We discuss the acceptance of health apps by end-users and healthcare industry. We discuss how mobile health apps will be distributed in the near future, the use of Personal Health Record (PHR) systems such as Microsoft HealthVault and the impact of regulations (FDA) on the future of mobile health apps. The paper is based on seven years of experience by the authors as mobile health and fitness application developers and we discuss the challenges and opportunities for app developers in the health industry.