The objective of this study is to identify factors influencing unsafe use of hospital information systems in Malaysian government hospitals. Semi-structured interviews with 31 medical doctors in three Malaysian government hospitals implementing total hospital information systems were conducted between March and May 2015. A thematic qualitative analysis was performed on the resultant data to deduce the relevant themes. A total of five themes emerged as the factors influencing unsafe use of a hospital information system: (1) knowledge, (2) system quality, (3) task stressor, (4) organization resources, and (5) teamwork. These qualitative findings highlight that factors influencing unsafe use of a hospital information system originate from multidimensional sociotechnical aspects. Unsafe use of a hospital information system could possibly lead to the incidence of errors and thus raises safety risks to the patients. Hence, multiple interventions (e.g. technology systems and teamwork) are required in shaping high-quality hospital information system use.
Heart monitoring is important to deter any catastrophic because of heart failure that may happen. Continuous real-time heart monitoring could prevent sudden death due to heart attack. Nevertheless, the major challenge associated with continuous heart monitoring in the traditional approach is to undertake regular medical check-ups at the hospital or clinic. Hence, the aim of this study is to develop a mobile app where patients can real-time monitor their heart rate (HR) and detect abnormal HR whenever it occurs. Caregivers will be notified when a patient is detected with abnormal HR. The mobile app was developed for Android-based smartphones. A wearable HR sensor is used to collect RR data and transmitted to the smartphone via Bluetooth connection. User acceptance test was conducted to comprehend the intention and satisfaction level of the prospective users to use the application. The user acceptance test shows compatibility, perceived usefulness, perceived ease of use, trust, and behavioral intention to use had a high acceptance rate. It is expected that the developed app may provide a more plausible tool in monitoring HR personally, conveniently, and continuously at any time and anywhere.
Computer applications nowadays relies on physical storage either to store the computation information or for the application itself. As the application become more complex and being used day after day, the data will be growing causing issue with lack of free space especially in fog computing where the storage resource is limited. Despite increasing disk storage or even migrating the data into the cloud would resolve this issue but this would also increase the overall cost as well. Thus, the objective of this paper is to analyse the difference between non-relational database with relational database in term of storage capacity. First the data from relational database will be taken and converted into a standard format and later turned into non-relational database. The result from the analysis will provide motivation for proposing database storage to be implemented in fog computing environment.
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