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Biomedical subjects

Thomas H Payne

Publications and source records attributed to Thomas H Payne.

10 recordsLinked to original sources

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↗

Viewpoint: controversies surrounding use of order sets for clinical decision support in computerized provider order entry.

Order sets provide straightforward clinical decision support within computerized provider order entry systems. They make "the right thing" easier to do because they are much faster than writing single orders; they deliver real-time, evidence-based prompts; they are easy to update; and they support coverage of multiple patient problems through linkages among order sets. This viewpoint paper discusses controversies surrounding use of order sets--advantages and pitfalls, decision-making criteria, and organizational considerations, including suggestions for vendors. Order sets have the potential to improve clinician efficiency, provide real-time guidance, facilitate compliance with Joint Commission on Accreditation of Healthcare Organizations and Centers for Medicare and Medicaid Services performance measure sets, and encourage overall acceptance of computerized provider order entry, but may not do so unless these controversies are addressed.

Decision Making, Computer-Assisted↗

Managing the life cycle of electronic clinical documents.

OBJECTIVE: To develop a model of the life cycle of clinical documents from inception to use in a person's medical record, including workflow requirements from clinical practice, local policy, and regulation. DESIGN: We propose a model for the life cycle of clinical documents as a framework for research on documentation within electronic medical record (EMR) systems. Our proposed model includes three axes: the stages of the document, the roles of those involved with the document, and the actions those involved may take on the document at each stage. The model includes the rules to describe who (in what role) can perform what actions on the document, and at what stages they can perform them. Rules are derived from needs of clinicians, and requirements of hospital bylaws and regulators. RESULTS: Our model encompasses current practices for paper medical records and workflow in some EMR systems. Commercial EMR systems include methods for implementing document workflow rules. Workflow rules that are part of this model mirror functionality in the Department of Veterans Affairs (VA) EMR system where the Authorization/ Subscription Utility permits document life cycle rules to be written in English-like fashion. CONCLUSIONS: Creating a model of the life cycle of clinical documents serves as a framework for discussion of document workflow, how rules governing workflow can be implemented in EMR systems, and future research of electronic documentation.

Documentation↗

Evolution and use of a note classification scheme in an electronic medical record.

Titles of clinical notes within an electronic medical record (EMR) are important because they influence the speed and completeness of the review of a patient's health record. We created a note classification scheme for notes in our EMR consisting of a 2 level hierarchy of note titles used to identify newly created and existing text and scanned notes. In a sample of 3 of the 18 months since beginning production use, an average of 2,810 notes are added each day. The number of distinct note titles rose by 32 percent between November 2003 and February 2005. Few changes were made to the upper level of the hierarchy. Thirty-three note titles accounted for 75% of the notes entered in February 2005. Note titles are one of several attributes that in conjunction with the user interface used to display them may affect the efficiency and completeness with which clinicians review their patient's records.

Academic Medical Centers↗

Approach for analysis of order check overrides in a computerized practitioner order entry system.

While it has been established that electronic order entry systems can prevent transcription errors and check orders for severe drug allergies and interactions, continuous monitoring of the effectiveness of order checks is important. The goal of this study is to examine the rate at which high severity order checks generated in the electronic medical record at VA Puget Sound are overridden by clinicians. We compare our results to those of a previous study that found high override rates for Critical Drug Inter-action and Allergy-Drug Interaction order check categories. We are interested in determining whether system changes addressing these high rates have been successful in reducing the overall override rate in these categories. Because the method used previously to extract orders is no longer available, the first step in our study was to develop a new procedure to gather order entry data. This procedure is the subject of our report.

Clinical Pharmacy Information Systems↗

Preparation and use of preconstructed orders, order sets, and order menus in a computerized provider order entry system.

OBJECTIVE: To describe the configuration and use of the computerized provider order entry (CPOE) system used for inpatient and outpatient care at the authors' facility. DESIGN: Description of order configuration entities, use patterns, and configuration changes in a production CPOE system. MEASUREMENTS: The authors extracted and analyzed the content of order configuration entities (order dialogs, preconfigured [quick] orders, order sets, and order menus) and determined the number of orders entered in their production order entry system over the previous three years. The authors measured use of these order configuration entities over a six-month period. They repeated the extract two years later to measure changes in these entities. RESULTS: CPOE system configuration, conducted before and after first production use, consisted of preparing 667 order dialogs, 5,982 preconfigured (quick) orders, and 513 order sets organized in 703 order menus for particular contexts, such as admission for a particular diagnosis. Fifty percent of the order dialogs, 57% of the quick orders, and 13% of the order sets were used within a six-month period. Over the subsequent two years, the volume of order configuration entities increased by 26%. CONCLUSIONS: These order configuration steps were time-consuming, but the authors believe they were important to increase the ordering speed and acceptability of the order entry software. Lessons learned in the process of configuring the CPOE ordering system are given. Better understanding of ordering patterns may make order configuration more efficient because many of the order configuration entities that were created were not used by clinicians.

Hospital Information Systems↗

Creating a note classification scheme for a multi-institutional electronic medical record.

How notes are categorized in an electronic medical record (EMR) influences how rapidly users can locate documents and enter new ones, whether algorithmic search for chart deficiencies is possible, and the ease of incorporating collections of existing notes. We balanced these competing needs when developing a note classification scheme for the Online Record of Clinical Activity (ORCA) electronic medical record at the University of Washington.

Academic Medical Centers↗

Characteristics and override rates of order checks in a practitioner order entry system.

Order checks are important error prevention tools when used in conjunction with practitioner order entry systems. We studied characteristics of order checks generated in a sample of consecutively entered orders during a 4 week period in an electronic medical record at VA Puget Sound. We found that in the 42,641 orders where an order check could potentially be generated, 11% generated at least one order check and many generated more than one order check. The rates at which the ordering practitioner overrode 'Critical drug interaction' and 'Allergy-drug interaction' alerts in this sample were 88% and 69% respectively. This was in part due to the presence of alerts for interactions between systemic and topical medications and for alerts generated during medication renewals. Refinement in order check logic could lead to lower override rates and increase practitioner acceptance and effectiveness of order checks.

Clinical Pharmacy Information Systems↗

A cross-site qualitative study of physician order entry.

OBJECTIVE: To describe the perceptions of diverse professionals involved in computerized physician order entry (POE) at sites where POE has been successfully implemented and to identify differences between teaching and nonteaching hospitals. DESIGN: A multidisciplinary team used observation, focus groups, and interviews with clinical, administrative, and information technology staff to gather data at three sites. Field notes and transcripts were coded using an inductive approach to identify patterns and themes in the data. MEASUREMENTS: Patterns and themes concerning perceptions of POE were identified. RESULTS: Four high-level themes were identified: (1) organizational issues such as collaboration, pride, culture, power, politics, and control; (2) clinical and professional issues involving adaptation to local practices, preferences, and policies; (3) technical/implementation issues, including usability, time, training and support; and (4) issues related to the organization of information and knowledge, such as system rigidity and integration. Relevant differences between teaching and nonteaching hospitals include extent of collaboration, staff longevity, and organizational missions. CONCLUSION: An organizational culture characterized by collaboration and trust and an ongoing process that includes active clinician engagement in adaptation of the technology were important elements in successful implementation of physician order entry at the institutions that we studied.

Attitude of Health Personnel↗