Effectiveness of an electronic inpatient medication record in reducing medication errors in Singapore

This study examined the effectiveness of an inpatient electronic medication record system in reducing medication errors in Singaporean hospitals. This pre- and post-intervention study involving a control group was undertaken in two Singaporean acute care hospitals. In one hospital the inpatient electronic medication record system was implemented while in another hospital the paper-based medication record system was used. The mean incidence difference in medication errors of 0.06 between pre-intervention (0.72 per 1000 patient days) and post-intervention (0.78 per 1000 patient days) for the two hospitals was not statistically significant (95%, CI: [0.26, 0.20]). The mean incidence differences in medication errors relating to prescription, dispensing, and administration were also not statistically different. Common system failures involved a lack of medication knowledge by health professionals and a lack of a systematic approach in identifying correct dosages. There was no difference in the incidence of medication errors following the introduction of the electronic medication record system. More work is needed on how this system can reduce medication error rates and improve medication safety. © 2013 Wiley Publishing Asia Pty Ltd.

Trials and tribulations with electronic medication adherence monitoring in kidney transplantation

Medication adherence in kidney transplantation is critical to prevent graft rejection. Testing interventions designed to support patients to take their prescribed medications following a kidney transplant require an accurate measure of medication adherence. In research, the available methods for measuring medication adherence include self-report, pill counts, prescription refill records, surrogate measures of medication adherence and medication bottles with a microchip-embedded cap to record bottle openings. Medication bottles with a microchip-embedded cap are currently regarded as the gold standard measure. This commentary outlines the challenges in measuring medication adherence using electronic medication monitoring of kidney transplant patients recruited from five sites. The challenges included obtaining unanimous stakeholder support for using this method, agreement on an index medication to measure, adequate preparation of the patient and training of pharmacy staff, and how to analyze data when periods of time were not recorded using the electronic adherence measure. Provision of this information will enable hospital and community pharmacists to implement approaches that promote the effective use of this adherence measure for optimal patient outcomes.

The role of emotional intelligence on the resolution of disputes involving the electronic health record

Numerous authors have expressed concerns that the introduction of the Personally Controlled Electronic Health Record (PCEHR) will lead to an escalation of disputes. Some disputes will concern the accuracy of the record whereas others will arise simply due to greater access to health care records. Online dispute resolution (ODR) programs have been successfully applied to cost-effectively help disputants resolve commercial, insurance and other legal disputes, and can also facilitate the resolution of health care related disputes. However, we expect that health differs from other application domains in ODR because of the emotional engagement patients have with their health and those of loved ones. In this study we will be looking at whether the success of an online negotiation is related to how people recognise and manage emotions, and in particular, their Emotional intelligence score.

Reported medication errors after introducing an electronic medication management system

Aims and objectives
To explore the effects of introducing an electronic medication management system on reported medication errors.
Background
Computerised medication management systems have been found to improve medication safety; however, introducing medication management system into healthcare environments can create unanticipated or new problems and opportunities for medication error.
Design
Descriptive analysis of medication error reports.
Methods
This was a retrospective analysis of 359 incident reports drawn from the period of 1 May 2005–30 April 2006 across two hospital sites of a single not-for-profit private health service located in metropolitan Melbourne. Site A used a conventional pen and paper system for medication management, and Site B had introduced a computerised medication management system.
Results
Most medication errors occurred at the nurse administration (71·5%) and prescribing (16·4%) stages of delivery. The most common medication error type reported at Site A was omission (33%), and at Site B was wrong documentation (24·2%). A higher proportion of errors at the prescribing phase, and less nurse administration errors, were detected at Site B where the medication management system was in use. The incidence of other, less frequent errors was similar across the two hospital sites.
Conclusions
This examination of medication error reports suggests there are differences in the types of medication errors that are reported in association with the introduction of electronic medication management system compared to pen and paper system systems. The findings provide a new insight into the effects of introducing an electronic medication management system on the types of medication errors reported.
Relevance to clinical practice
The findings provide a new insight into the types of medication errors that are reported during implementation of an electronic medication management system. Extra support for physicians prescribing practices should be considered.

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.

The personally controlled electronic health record (PCEHR) for adults with severe communication impairments: findings of pilot research.

To date, there is little information in the literature to guide the provision of supports for using the Personally Controlled Electronic Health Record (PCEHR) in populations with severe communication impairments associated with a range of disabilities. In this paper we will (a) outline the rationale for use of PCEHR in these populations by providing an overview of relevant research to date, and (b) present results of three integrated pilot studies aiming to investigate the barriers to and facilitators for PCEHR use by people with severe communication impairments and their service providers. Finally, we will present directions for future research on use of PCEHR by people with severe communication impairments.

Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry

Using the prediction of cancer outcome as a model, we have tested the hypothesis that through analysing routinely collected digital data contained in an electronic administrative record (EAR), using machine-learning techniques, we could enhance conventional methods in predicting clinical outcomes.

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

Electronic Medical Record (EMR) has established itself as a valuable resource for large scale analysis of health data. A hospital EMR dataset typically consists of medical records of hospitalized patients. A medical record contains diagnostic information (diagnosis codes), procedures performed (procedure codes) and admission details. Traditional topic models, such as latent Dirichlet allocation (LDA) and hierarchical Dirichlet process (HDP), can be employed to discover disease topics from EMR data by treating patients as documents and diagnosis codes as words. This topic modeling helps to understand the constitution of patient diseases and offers a tool for better planning of treatment. In this paper, we propose a novel and flexible hierarchical Bayesian nonparametric model, the word distance dependent Chinese restaurant franchise (wddCRF), which incorporates word-to-word distances to discover semantically-coherent disease topics. We are motivated by the fact that diagnosis codes are connected in the form of ICD-10 tree structure which presents semantic relationships between codes. We exploit a decay function to incorporate distances between words at the bottom level of wddCRF. Efficient inference is derived for the wddCRF by using MCMC technique. Furthermore, since procedure codes are often correlated with diagnosis codes, we develop the correspondence wddCRF (Corr-wddCRF) to explore conditional relationships of procedure codes for a given disease pattern. Efficient collapsed Gibbs sampling is derived for the Corr-wddCRF. We evaluate the proposed models on two real-world medical datasets - PolyVascular disease and Acute Myocardial Infarction disease. We demonstrate that the Corr-wddCRF model discovers more coherent topics than the Corr-HDP. We also use disease topic proportions as new features and show that using features from the Corr-wddCRF outperforms the baselines on 14-days readmission prediction. Beside these, the prediction for procedure codes based on the Corr-wddCRF also shows considerable accuracy.

Use of the My Health Record by people with communication disability in Australia: A review to inform the design and direction of future research

BACKGROUND: People with communication disability often struggle to convey their health information to multiple service providers and are at increased risk of adverse health outcomes related to the poor exchange of health information. OBJECTIVE: The purpose of this article was to (a) review the literature informing future research on the Australian personally controlled electronic health record, 'My Health Record' (MyHR), specifically to include people with communication disability and their family members or service providers, and (b) to propose a range of suitable methodologies that might be applied in research to inform training, policy and practice in relation to supporting people with communication disability and their representatives to engage in using MyHR. METHOD: The authors reviewed the literature and, with a cross-disciplinary perspective, considered ways to apply sociotechnical, health informatics, and inclusive methodologies to research on MyHR use by adults with communication disability. RESEARCH OUTCOMES: This article outlines a range of research methods suitable for investigating the use of MyHR by people who have communication disability associated with a range of acquired or lifelong health conditions, and their family members, and direct support workers. CONCLUSION: In planning the allocation of funds towards the health and well-being of adults with disabilities, both disability and health service providers must consider the supports needed for people with communication disability to use MyHR. There is an urgent need to focus research efforts on MyHR in populations with communication disability, who struggle to communicate their health information across multiple health and disability service providers. The design of studies and priorities for future research should be set in consultation with people with communication disability and their representatives.

Predicting risk of suicide attempt using history of physical illnesses from electronic medical records

BACKGROUND: Although physical illnesses, routinely documented in electronic medical records (EMR), have been found to be a contributing factor to suicides, no automated systems use this information to predict suicide risk.

OBJECTIVE: The aim of this study is to quantify the impact of physical illnesses on suicide risk, and develop a predictive model that captures this relationship using EMR data.

METHODS: We used history of physical illnesses (except chapter V: Mental and behavioral disorders) from EMR data over different time-periods to build a lookup table that contains the probability of suicide risk for each chapter of the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) codes. The lookup table was then used to predict the probability of suicide risk for any new assessment. Based on the different lengths of history of physical illnesses, we developed six different models to predict suicide risk. We tested the performance of developed models to predict 90-day risk using historical data over differing time-periods ranging from 3 to 48 months. A total of 16,858 assessments from 7399 mental health patients with at least one risk assessment was used for the validation of the developed model. The performance was measured using area under the receiver operating characteristic curve (AUC).

RESULTS: The best predictive results were derived (AUC=0.71) using combined data across all time-periods, which significantly outperformed the clinical baseline derived from routine risk assessment (AUC=0.56). The proposed approach thus shows potential to be incorporated in the broader risk assessment processes used by clinicians.

CONCLUSIONS: This study provides a novel approach to exploit the history of physical illnesses extracted from EMR (ICD-10 codes without chapter V-mental and behavioral disorders) to predict suicide risk, and this model outperforms existing clinical assessments of suicide risk.

Mixed-initiative decision support for care planning based on clinical practice guidelines

Care Plan On-Line (CPOL) is an intranet based system that supports a “Coordinated Care” model for chronic/complex disease management. CPOL combines provision of solicited and unsolicited advice features based on integration of the electronic medical record (EMR) with its decision support logic. The objective is to support General Practitioners (GPs) in formulating a 12-month care plan of services such that: (a) the plan is proactive and patient-centered; (b) the GP is kept in awareness of project- and diseasespecific clinical practice guidelines; and (c) the support integrates with GP workflow in a natural fashion. A key feature of our approach is to blur the distinction of EMR and decision support by presenting guidelines in layers with the top-most being a problem-oriented presentation of patient status, progressing on through to patient-independent supporting evidence. In conjunction with a degree of automated inclusion of care planning services, the system demonstrates mixed user and software initiative. We describe the CPOL deployment setting, the challenges of guideline-based clinical decision support, our approach to guideline delivery, and the CPOL architecture.

HealthConnect and the duty of care: a dilemma for medical practitioners

This article asks whether medical practitioners' duty of care to their patients will encompass participation in the HealthConnect shared electronic records initiative. Medico-legal aspects of the HeathConnect scheme relating to the nature of shared electronic health record summaries (SEHRS) are examined, focusing on their function as an element of patient care and their ultimate purpose. The analysis is based on the premise that an incomplete and hence inaccurate shared electronic health record summary is clinically and legally more perilous than no record at all.

A methodology of health information security evaluation

With the conversion of paper health records to electronic health records, the health care sector is increasingly relying on technology to maintain the integrity of and update patients’ data. This reliance on technology requires an acute level of protection from technological disasters and/or threats of human error or sabotage. Research has shown there are inadequacies in the installation and use of security controls for health information records and that current methods of security analysis lack the techniques to analyse the technical and social aspects of security. This paper reports on progress towards development of a health information security evaluation methodology based on Unified Modelling Language techniques, and discusses an imminent case study that will be used for validation of the methodology.

Organizational factors associated with decreased mortality among veterans affairs patients with an ICU stay

In-hospital mortality rates associated with an ICU stay are high and vary widely among units. This variation may be related to organizational factors such as staffing patterns, ICU structure, and care processes. We aimed to identify organizational factors associated with variation in in-hospital mortality for patients with an ICU stay. This was a retrospective observational cross-sectional study using administrative data from 34 093 patients from 171 ICUs in 119 Veterans Health Administration hospitals. Staffing and patient data came from Veterans Health Administration national databases. ICU characteristics came from a survey in 2004 of ICUs within the Veterans Health Administration. We conducted multilevel multivariable estimation with patient-, unit-, and hospital-level data. The primary outcome was in-hospital mortality. Of 34 093 patients, 2141 (6.3%)died in the hospital. At the patient level, risk of complications and having a medical diagnosis were significantly associated with a higher risk of mortality. At the unit level, having an interface with the electronic medical record was significantly associated with a lower risk of mortality. The finding that electronic medical records integrated with ICU information systems are associated with lower in-hospital mortality adds support to existing evidence on organizational characteristics associated with in-hospital mortality among ICU patients.