Managing ICT costs in e-commerce organizations with the time-driven activity-based costing model: a note

As online business activities continue to grow, it is important for organizations to understand the implications of being an e-commerce organization and the appropriateness of applying existing business techniques to e-commerce organizations. This paper examines issues in managing information and communication technologies (ICT) costs in e-commerce organizations and the potentials of the Time-Driven Activity-Based Costing (TDABC) model as a solution to these issues. The reliance on ICT in value creation, the unique natures of ICT costs and the need to maintain updated costing models present new challenges to e-commerce organizations in management of ICT costs. The TDABC model, as a variant of the Activity-Based Costing (ABC) model, inherits the strengths of activity-based paradigm and has unique features that can provide additional benefits to e-commerce organizations.

Predicting the likely response of data-poor ecosystems to climate change using space-for-time substitution across domains

Predicting ecological response to climate change is often limited by a lack of relevant local data from which directly applicable mechanistic models can be developed. This limits predictions to qualitative assessments or simplistic rules of thumb in data-poor regions, making management of the relevant systems difficult. We demonstrate a method for developing quantitative predictions of ecological response in data-poor ecosystems based on a space-for-time substitution, using distant, well-studied systems across an inherent climatic gradient to predict ecological response. Changes in biophysical data across the spatial gradient are used to generate quantitative hypotheses of temporal ecological responses that are then tested in a target region. Transferability of predictions among distant locations, the novel outcome of this method, is demonstrated via simple quantitative relationships that identify direct and indirect impacts of climate change on physical, chemical and ecological variables using commonly available data sources. Based on a limited subset of data, these relationships were demonstrably plausible in similar yet distant (>2000 km) ecosystems. Quantitative forecasts of ecological change based on climate-ecosystem relationships from distant regions provides a basis for research planning and informed management decisions, especially in the many ecosystems for which there are few data. This application of gradient studies across domains - to investigate ecological response to climate change - allows for the quantification of effects on potentially numerous, interacting and complex ecosystem components and how they may vary, especially over long time periods (e.g. decades). These quantitative and integrated long-term predictions will be of significant value to natural resource practitioners attempting to manage data-poor ecosystems to prevent or limit the loss of ecological value. The method is likely to be applicable to many ecosystem types, providing a robust scientific basis for estimating likely impacts of future climate change in ecosystems where no such method currently exists.

Multichannel biomedical time series clustering via hierarchical probabilistic latent semantic analysis

Biomedical time series clustering that automatically groups a collection of time series according to their internal similarity is of importance for medical record management and inspection such as bio-signals archiving and retrieval. In this paper, a novel framework that automatically groups a set of unlabelled multichannel biomedical time series according to their internal structural similarity is proposed. Specifically, we treat a multichannel biomedical time series as a document and extract local segments from the time series as words. We extend a topic model, i.e., the Hierarchical probabilistic Latent Semantic Analysis (H-pLSA), which was originally developed for visual motion analysis to cluster a set of unlabelled multichannel time series. The H-pLSA models each channel of the multichannel time series using a local pLSA in the first layer. The topics learned in the local pLSA are then fed to a global pLSA in the second layer to discover the categories of multichannel time series. Experiments on a dataset extracted from multichannel Electrocardiography (ECG) signals demonstrate that the proposed method performs better than previous state-of-the-art approaches and is relatively robust to the variations of parameters including length of local segments and dictionary size. Although the experimental evaluation used the multichannel ECG signals in a biometric scenario, the proposed algorithm is a universal framework for multichannel biomedical time series clustering according to their structural similarity, which has many applications in biomedical time series management.

An investigation for improved home energy management

 Increasing household energy consumption and increasing primary energy cost urged to improve home energy efficiency. Improved energy management can suggest the ways to improve home energy efficiency. Various home appliances are the prime cause to the increased power demand. Appliance's energy rating information helps to develop awareness and reduce energy consumption. Load shifting can help to reduce overall cost of used energy bill by shifting peak time load to off-peak time. However most of the present appliances remains in standby mode (active or passive) for a significant part of the day, and load shifting cannot reduce the total energy consumption. Therefore investigation is required to identify any possible scopes to improve energy management at home. This paper investigated several home appliances and monitored daily time of use power consumption. It was found that by controlling standby power from a daily home load of 4.482 kWh, power demand can be reduced 12.56% moreover energy related greenhouse gas (GHG) emission can be reduced 133.08kg/year.

Prevalence of beak and feather disease virus in wild Platycercus elegans: comparison of three tissue types using a probe-based real-time qPCR test

The detection of avian viruses in wild populations has considerable conservation implications. For DNA-based studies, feathers may be a convenient sample type for virus screening and are, therefore, an increasingly common technique. This is despite recent concerns about DNA quality, ethics, and a paucity of data comparing the reliability and sensitivity of feather sampling to other common sample types such as blood. Alternatively, skeletal muscle tissue may offer a convenient sample to collect from dead birds, which may reveal viraemia. Here, we describe a probe-based quantitative real-time PCR for the relative quantification of beak and feather disease virus (BFDV), a pathogen of serious conservation concern for parrots globally. We used this method to test for BFDV in wild crimson rosellas (Platycercus elegans), and compared three different sample types. We detected BFDV in samples from 29 out of 84 individuals (34.5%). However, feather samples provided discordant results concerning virus presence when compared with muscle tissue and blood, and estimates of viral load varied somewhat between different sample types. This study provides evidence for widespread infection of BFDV in wild crimson rosellas, but highlights the importance of sample type when generating and interpreting qualitative and quantitative avian virus data.

Nephrologists' management of patient medications in kidney transplantation: results of an online survey

Rationale, aims and objectives: Medication adherence is essential in kidney transplant recipients to reduce the risk of rejection and subsequent allograft loss. The aim of this study was to delineate what 'usual care' entails, in relation to medication management, for adult kidney transplant recipients. Methods: An online survey was developed to explore how nephrologists promote and assess medication adherence, the management of prescriptions, the frequency of clinic appointments and the frequency of clinical screening tests. Nephrologists from all acute kidney transplant units in Victoria, Australia, were invited to participate. Data were collected between May and June 2014. Results: Of 60 nephrologists invited to participate, 22 completed the survey (response rate of 36.6%). Respondents had a mean age of 49.1±10.1 years, with a mean of 20.1±9.9 years working in nephrology and 14 were men. Descriptive analysis of responses showed that nephrologists performed frequent screening for kidney graft dysfunction that may indicate medication non-adherence, maintained regular transplant clinic visits with patients and emphasized the importance of medication education. However, time constraints during consultations impacted on extensive patient education and the long-term medication follow-up support was often delivered by the renal transplant nurse coordinator or pharmacist. Conclusions: This study highlighted that nephrologists took an active approach in the medication management of kidney transplant recipients, which may assist with facilitating long-term graft survival. Ultimately, promoting medication adherence needs to be patient centred, involving an interdisciplinary team of nephrologists, pharmacists and renal transplant nurse coordinators, working together with the patient to establish optimal adherence.

Doing the right thing at the right time: Assessing responses to patient deterioration in electronic simulation scenarios using course-of-action analysis

International studies indicate that the recognition and management of deteriorating patients in hospitals are poor and that patient assessment is often inadequate. Face-to-face simulation programs have been shown to have an impact on educational and clinical outcomes; however, little is known about performance in contemporary healthcare e-simulation approaches. Using data from an open-access Web-based patient deterioration program (FIRSTACTWeb), the performance of 367 Australian nursing students in identification of treatment priorities and clinical actions was analyzed using a military model of Course of Action Simulation Analysis. Participants' performance in the whole program demonstrated a significant improvement in knowledge and skills (P ≤ .001) with high levels of participant satisfaction. Course of Action Simulation Analysis modeling identified three key participant groupings within which only 18% took the "best course of action" (the right actions and timing), with most (70%) completing the right actions but in the wrong order. The remaining 12% produced incomplete assessments and actions in an incorrect sequence. Contemporary approaches such as e-simulation do enhance educational outcomes. Measurement of performance when combined with Course of Action Simulation Analysis becomes a useful tool in the description of outcomes, an understanding of decision making, and the prediction of future events.

Cyber attacks against supply chain management systems: A short note

Supply chain management (SCM) is increasingly dependent on electronic systems. At the same time, the vulnerability of these systems to attack from malicious individuals or groups is growing. This paper examines some of the forms such attacks can take, and their relevance to the supply function. Provides examples of attacks. Concludes that companies should consider the security aspects of electronic commerce before developing their systems. © MCB University Press.

A new perspective on competency management: Implemented through effective human-computer interaction

Making an informed decision on whether an individual is suited to undertake an educational course or industry training programme can be very frustrating. When dealing with young adults at different cognitive skill levels, it is important to be able to identify and distinguish between their knowledge/competency levels, mostly on the basis of the evidence gathered from test-items. The current absence of appropriate measurement tools to determine skill/competency/knowledge levels remains a practical issue. The main aim of this paper is to discuss the management of this important differentiation in cognitive skill performance. One of the dilemmas surrounding this type of competency evaluation is the time it takes to test an individual. Insisting for instance, that a novice undergoes a long and arduous test, including many difficult testing items, results in lowered self-esteem, reduced motivation for learning something new, may induce stress related disorders. Similarly, expecting a more competent individual to undergo numerous simple test-items can generate the same negative result. A Competency Management System (CMS) is presented to initiate effective human-computer interaction (HCI) for cognitive skills assessment. © 2009 Springer-Verlag US.

Cost-effectiveness analysis of a hospital electronic medication management system

OBJECTIVE: To conduct a cost-effectiveness analysis of a hospital electronic medication management system (eMMS). METHODS: We compared costs and benefits of paper-based prescribing with a commercial eMMS (CSC MedChart) on one cardiology ward in a major 326-bed teaching hospital, assuming a 15-year time horizon and a health system perspective. The eMMS implementation and operating costs were obtained from the study site. We used data on eMMS effectiveness in reducing potential adverse drug events (ADEs), and potential ADEs intercepted, based on review of 1 202 patient charts before (n = 801) and after (n = 401) eMMS. These were combined with published estimates of actual ADEs and their costs. RESULTS: The rate of potential ADEs following eMMS fell from 0.17 per admission to 0.05; a reduction of 71%. The annualized eMMS implementation, maintenance, and operating costs for the cardiology ward were A$61 741 (US$55 296). The estimated reduction in ADEs post eMMS was approximately 80 actual ADEs per year. The reduced costs associated with these ADEs were more than sufficient to offset the costs of the eMMS. Estimated savings resulting from eMMS implementation were A$63-66 (US$56-59) per admission (A$97 740-$102 000 per annum for this ward). Sensitivity analyses demonstrated results were robust when both eMMS effectiveness and costs of actual ADEs were varied substantially. CONCLUSION: The eMMS within this setting was more effective and less expensive than paper-based prescribing. Comparison with the few previous full economic evaluations available suggests a marked improvement in the cost-effectiveness of eMMS, largely driven by increased effectiveness of contemporary eMMs in reducing medication errors.

Hard times and the "fact" and "fancy" of modern labour management

Dickens believed that, played out in practical terms, the pursuit of a totally rationalised society devoid of ‘Fancy’ only served to benefit those in power to the impoverishment of those in their charge. He was appalled by a selfish and self-interested philosophy that combined with laissez-faire capitalism to reduce human effort to mere numbers for the sole purpose of determining its monetary worth. His story thus provides a rebuke to the dehumanising effects of utilitarianism and the way it is used to calculate workers in the manner of machines; reducing them to little more than a resource that is no more or less important any other resource used in industrial enterprise. Their modern-day counterparts live in similar Hard Times in being in the grip of laissez-fair economics of global proportions, which visits upon them similar conceptions of their worth, as evidenced by the current precariousness of their employment and their present exposure to the vicissitudes of arbitrary power exercised by managements still wedded to utilitarian principles. As a result, the ‘light of Fancy’ that at one time would periodically burst through in earnest storms of protest, is now refracted into cynical asides directed at rational systems that continue to standardise and homogenise all that ‘counts’ in working life.

Nutritional management of gastrointestinal surgical patients in Victoria's public hospitals

Aim: Poor nutritional status has negative effects on post-operative outcomes, further compounded by surgical stress and fasting, places gastrointestinal surgery patients at high risk of malnutrition. Recent published research has challenged historic surgical nutrition practices; however, changes to practice in Australia have been slow. The aim of this study was to investigate current nutritional management of gastrointestinal surgery patients and compare this with the best practice guidelines, while exploring enablers to implementation of best practice. Methods: A 30-question telephone survey was developed to explore demographics and nutritional management of gastrointestinal surgical patients during pre-admission, inpatient stay and post-operative care. Forty-one gastrointestinal surgery dietitians were identified and contacted from 31 public hospitals in Victoria, Australia, and invited to participate. Results: Twenty-five dietitians participated in the survey (response rate 61%). Very few dietitians (12%) were funded for pre-admission clinics or outpatient clinics, and, overwhelmingly, dietitians reported not being involved in nutritional decision-making, and reported feeling unsatisfied with current nutritional management of patients. Despite half the hospitals reporting following best practice guidelines, only 22% implemented guidelines completely. There was no correlation observed between dietitian experience, department size or full-time equivalents allocated to surgery and nutritional intervention; however, the presence of a care pathway made a significant difference to the dietitian's overall satisfaction with dietetic care (P = 0.002). Conclusions: Current nutritional management of gastrointestinal surgery patients in Victorian hospitals is far from best practice. The implementation of a care pathway is the most effective way of ensuring best practice nutritional management of gastrointestinal surgical patients.

ANGEL: agent-based scheduling for real-time tasks in virtualized clouds

The success of cloud computing makes an increasing number of real-time applications such as signal processing and weather forecasting run in the cloud. Meanwhile, scheduling for real-time tasks is playing an essential role for a cloud provider to maintain its quality of service and enhance the system's performance. In this paper, we devise a novel agent-based scheduling mechanism in cloud computing environment to allocate real-time tasks and dynamically provision resources. In contrast to traditional contract net protocols, we employ a bidirectional announcement-bidding mechanism and the collaborative process consists of three phases, i.e., basic matching phase, forward announcement-bidding phase and backward announcement-bidding phase. Moreover, the elasticity is sufficiently considered while scheduling by dynamically adding virtual machines to improve schedulability. Furthermore, we design calculation rules of the bidding values in both forward and backward announcement-bidding phases and two heuristics for selecting contractors. On the basis of the bidirectional announcement-bidding mechanism, we propose an agent-based dynamic scheduling algorithm named ANGEL for real-time, independent and aperiodic tasks in clouds. Extensive experiments are conducted on CloudSim platform by injecting random synthetic workloads and the workloads from the last version of the Google cloud tracelogs to evaluate the performance of our ANGEL. The experimental results indicate that ANGEL can efficiently solve the real-time task scheduling problem in virtualized clouds.

Evaluation of the Counterweight Programme for obesity management in primary care: a starting point for continuous improvement

Background Evaluation for obesity management in primary care is limited, and successful outcomes are from intensive clinical trials in hospital settings.

Aim To determine to what extent measures of success seen in intensive clinical trials can be achieved in routine primary care. Primary outcome measures were weight change and percentage of patients achieving ≤5% loss at 12 and 24 months.

Design of study Prospective evaluation of a new continuous improvement model for weight management in primary care.

Setting Primary care, UK.

Method Primary care practice nurses from 65 UK general practices delivered interventions to 1906 patients with body mass index (BMI) ≥30 kg/m2 or ≥28 kg/m2 with obesity-related comorbidities.

Results Mean baseline weight was 101.2 kg (BMI 37.1 kg/m2); 25% of patients had BMI ≥40 kg/m2 and 74% had ≥1 major obesity-related comorbidity. At final data capture 1419 patients were in the programme for ≥12 months, and 825 for ≥24 months. Mean weight change in those who attended and had data at 12 months (n = 642) was −3.0 kg (95% CI = −3.5 to −2.4 kg) and at 24 months (n = 357) was −2.3 kg (95% CI = −3.2 to −1.4 kg). Among attenders at specific time-points, 30.7% had maintained weight loss of ≥5% at 12 months, and 31.9% at 24 months. A total of 761 (54%) of all 1419 patients who had been enrolled in the programme for >12 months provided data at or beyond 12 months.

Conclusion This intervention achieves and maintains clinically valuable weight loss within routine primary care.

Influence of body mass index on prescribing costs and potential cost savings of a weight management programme in primary care

Objectives Prescribed medications represent a high and increasing proportion of UK health care funds. Our aim was to quantify the influence of body mass index (BMI) on prescribing costs, and then the potential savings attached to implementing a weight management intervention.

Methods Paper and computer-based medical records were reviewed for all drug prescriptions over an 18-month period for 3400 randomly selected adult patients (18–75 years) stratified by BMI, from 23 primary care practices in seven UK regions. Drug costs from the British National Formulary at the time of the review were used. Multivariate regression analysis was applied to estimate the cost for all drugs and the ‘top ten’ drugs at each BMI point. This allowed the total and attributable prescribing costs to be estimated at any BMI. Weight loss outcomes achieved in a weight management programme (Counterweight) were used to model potential effects of weight change on drug costs. Anticipated savings were then compared with the cost programme delivery. Analysis was carried out on patients with follow-up data at 12 and 24 months as well as on an intention-to-treat basis. Outcomes from Counterweight were based on the observed lost to follow-up rate of 50%, and the assumption that those patients would continue a generally observed weight gain of 1 kg per year from baseline.

Results The minimum annual cost of all drug prescriptions at BMI 20 kg/m2 was £50.71 for men and £62.59 for women. Costs were greater by £5.27 (men) and £4.20 (women) for each unit increase in BMI, to a BMI of 25 (men £77.04, women £78.91), then by £7.78 and £5.53, respectively, to BMI 30 (men £115.93 women £111.23), then by £8.27 and £4.95 to BMI 40 (men £198.66, women £160.73). The relationship between increasing BMI and costs for the top ten drugs was more pronounced. Minimum costs were at a BMI of 20 (men £8.45, women £7.80), substantially greater at BMI 30 (men £23.98, women £16.72) and highest at BMI 40 (men £63.59, women £27.16). Attributable cost of overweight and obesity accounted for 23% of spending on all drugs with 16% attributable to obesity. The cost of the programme was estimated to be approximately £60 per patient entered. Modelling weight reductions achieved by the Counterweight weight management programme would potentially reduce prescribing costs by £6.35 (men) and £3.75 (women) or around 8% of programme costs at one year, and by £12.58 and £8.70, respectively, or 18% of programme costs after two years of intervention. Potential savings would be increased to around 22% of the cost of the programme at year one with full patient retention and follow-up.

Conclusion Drug prescriptions rise from a minimum at BMI of 20 kg/m2 and steeply above BMI 30 kg/m2. An effective weight management programme in primary care could potentially reduce prescription costs and lead to substantial cost avoidance, such that at least 8% of the programme delivery cost would be recouped from prescribing savings alone in the first year.