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Biomedical subjects

David C Classen

Publications and source records attributed to David C Classen.

8 recordsLinked to original sources
PubMed2006

Evaluation and certification of computerized provider order entry systems.

Computerized physician order entry (CPOE) is an application that is used to electronically write physician orders either in the hospital or in the outpatient setting. It is used in about 15% of U.S. Hospitals and a smaller percentage of ambulatory clinics. It is linked with clinical decision support, which provides much of the value of implementing it. A number of studies have assessed the impact of CPOE with respect to a variety of parameters, including costs of care, medication safety, use of guidelines or protocols, and other measures of the effectiveness or quality of care. Most of these studies have been undertaken at CPOE exemplar sites with homegrown clinical information systems. With the increasing implementation of commercial CPOE systems in various settings of care has come evidence that some implementation approaches may not achieve previously published results or may actually cause new errors or even harm. This has lead to new initiatives to evaluate CPOE systems, which have been undertaken by both vendors and other groups who evaluate vendors, focused on CPOE vendor capabilities and effective approaches to implementation that can achieve benefits seen in published studies. In addition, an electronic health record (EHR) vendor certification process is ongoing under the province of the Certification Commission for Health Information Technology (CCHIT) (which includes CPOE) that will affect the purchase and use of these applications by hospitals and clinics and their participation in public and private health insurance programs. Large employers have also joined this focus by developing flight simulation tools to evaluate the capabilities of these CPOE systems once implemented, potentially linking the results of such programs to reimbursement through pay for performance programs. The increasing role of CPOE systems in health care has invited much more scrutiny about the effectiveness of these systems in actual practice which has the potential to improve their ultimate performance.

Certification↗
PubMed2006

Medication-related clinical decision support in computerized provider order entry systems: a review.

While medications can improve patients' health, the process of prescribing them is complex and error prone, and medication errors cause many preventable injuries. Computer provider order entry (CPOE) with clinical decision support (CDS), can improve patient safety and lower medication-related costs. To realize the medication-related benefits of CDS within CPOE, one must overcome significant challenges. Healthcare organizations implementing CPOE must understand what classes of CDS their CPOE systems can support, assure that clinical knowledge underlying their CDS systems is reasonable, and appropriately represent electronic patient data. These issues often influence to what extent an institution will succeed with its CPOE implementation and achieve its desired goals. Medication-related decision support is probably best introduced into healthcare organizations in two stages, basic and advanced. Basic decision support includes drug-allergy checking, basic dosing guidance, formulary decision support, duplicate therapy checking, and drug-drug interaction checking. Advanced decision support includes dosing support for renal insufficiency and geriatric patients, guidance for medication-related laboratory testing, drug-pregnancy checking, and drug-disease contraindication checking. In this paper, the authors outline some of the challenges associated with both basic and advanced decision support and discuss how those challenges might be addressed. The authors conclude with summary recommendations for delivering effective medication-related clinical decision support addressed to healthcare organizations, application and knowledge base vendors, policy makers, and researchers.

Contraindications↗
PubMed2005

The patient safety institute demonstration project: a model for implementing a local health information infrastructure.

The increasing focus on patient safety has uncovered many unsafe conditions in the current US. healthcare system. One of the most glaring problems is the inability of a fragmented healthcare system to provide critical and timely clinical information at the point of care. The Institute of Medicine has called for the development of a National Health Information Infrastructure to rectify this deficiency. This NHII will be built on Local Health Information Infrastructures, or LHIIs. The Patient Safety Institute is a potential model for an LHII that was developed and implemented in Seattle using the Swedish Medical Centers and associated ambulatory clinics. This model was piloted and evaluated among 365 clinical users across three hospitals, three clinics, and family practice residency programs involving access of records of more than 5300 distinct patients within a five-month period and involved the collection of more than 23 million clinical data results. User responses revealed the technology was intuitive to learn, easy to use, easy to navigate, and helpful in clinical care. The PSI demonstration project has developed an approach to the creation and implementation of LHIIs that is potentially transferable to other local communities.

Diffusion of Innovation↗
PubMed2003

Understanding hospital readiness for computerized physician order entry.

BACKGROUND: Many hospitals in the United States are in early stages of decision making and planning to implement computerized physician order entry (CPOE) to improve patient safety and quality of care. The targeted processes and the software for CPOE are complex, and implementation is a large-scale change effort for most hospitals. Hospitals can increase the likelihood of success by understanding and addressing gaps in CPOE readiness. ASSESSING CPOE READINESS: A CPOE readiness assessment tool was developed that includes several different components: external environment; organizational leadership, structure, and culture; care standardization;, order management; access to information; information technology composition; and infrastructure. The presence or absence of these indicators in a particular hospital was determined by on-site interviews, walkarounds with direct observations, and document review. RESULTS: Assessment results for the first 17 hospitals (bed size, 75-906 beds) indicated that the lowest average component score was in care standardization, while the highest average component score was in organizational structure and function. Organizational culture and the order management process also had low average scores. CONCLUSIONS: This CPOE readiness assessment revealed significant gaps in all the hospitals examined. Identifying these gaps and addressing them before CPOE implementation can reduce risks. Organizations need to develop expertise at accomplishing and sustaining change; understanding and building CPOE readiness is an important first step.

Attitude of Health Personnel↗
PubMed2003

Improving medication safety: the measurement conundrum and where to start.

The use of medication remains the most common intervention in health care. The complexity of both medication use and the medication management process, especially in the in-patient setting, create a significant risk for hospitalized patients. Despite the widespread recognition of the hazards that medication use poses to patients, there are no widely accepted or standardized methods to measure the safety of medication use. Where to focus measurement in medication safety is the subject of ongoing debate. Various groups have suggested measuring error-prone aspects of the medication use process such as errors in administration of medications or errors in dispensing of medications. Other groups have suggested measuring adverse drug events as a measure of the safety of medication use. Many studies in this area have outlined the great difficulty associated with getting clinicians to report either medication errors or adverse drug events voluntarily. In response to these challenges, yet more groups have developed non-voluntary reporting methods based on the use of "triggers", in either a chart review or electronic format. Medication safety is a complex process and measurement of it needs to be a core component throughout the whole process. With the introduction of computerized analysis of patient information, measurement becomes much easier and potentially more powerful and achievable than either incident reporting or chart reviews for purposes of accountability, prevention, and ongoing improvement of both process and clinical practice. This paper reviews approaches to measuring medication safety from the perspective of both harm and error, and outlines a strategy that combines both approaches in the electronic era.

Adverse Drug Reaction Reporting Systems↗
PubMed2002

Clustering of cases of insulin dependent diabetes (IDDM) occurring three years after hemophilus influenza B (HiB) immunization support causal relationship between immunization and IDDM.

OBJECTIVE: The hemophilus vaccine has been linked to the development of autoimmune type 1 diabetes, insulin dependent diabetes (IDDM) in ecological studies. METHODS: We attempted to determine if the Hemophilus influenza B (HiB) vaccine was associated with an increased risk of IDDM by looking for clusters of cases of IDDM using data from a large clinical trial. All children born in Finland between October 1st, 1985 and August 31st, 1987, approximately 116,000 were randomized to receive 4 doses of the HiB vaccine (PPR-D, Connaught) starting at 3 months of life or one dose starting after 24 months of life. A control-cohort included all 128,500 children born in Finland in the 24 months prior to the HiB vaccine study. Non-obese diabetic prone (NOD) mice were immunized with a hemophilus vaccine to determine if immunization increased the risk of IDDM. RESULTS: The difference in cumulative incidence between those receiving 4 doses and those receiving 0 doses is 54 cases of IDDM/100,000 (P = 0.026) at 7 years, (relative risk = 1.26). Most of the extra cases of IDDM appeared in statistically significant clusters that occurred in periods starting approximately 38 months after immunization and lasting approximately 6-8 months. Immunization with pediatric vaccines increased the risk of insulin diabetes in NOD mice. CONCLUSION: Exposure to HiB immunization is associated with an increased risk of IDDM. NOD mice can be used as an animal model of vaccine induced diabetes.

Animals↗
PubMed2002

The roles and responsibility of physicians to improve patient safety within health care delivery systems.

A steady stream of high-visibility medical accidents keeps patient safety on the front page of health care. Controversy about the exact size of the medical error problem continues, but there is little debate about the enormous opportunity for improvement in the safety and reliability of health care. Anesthesia-related deaths have declined from as many as 50 to just 3.4 per million inductions. This level of reliability is on par with the best safety records in other industries and far below those in the rest of health care. Achieving such a level of safety across health care will require considerable effort on the part of health care delivery systems and integration of physicians into such efforts. Indeed, the relationships between physicians, health delivery organizations, and patients lie at the crux of efforts to implement measurable improvements in patient safety. Previous experience of physicians' quality improvement efforts at delivery organizations and the current chaotic evolution of physician-health care delivery system relationships hold little hope for significant improvement in safety. The authors propose a new model of an organizational approach to safety and quality that can be used to accomplish these goals, and outline recommendations for the health care system to begin to alter the relationship between physicians and delivery systems to improve patient safety.

Delivery of Health Care↗