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Results for “Medical Order Entry Systems”

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At least 235 records · Page 13Linked to original sources
PubMed2007

Use of a computer-based reminder to improve sedative-hypnotic prescribing in older hospitalized patients.

OBJECTIVES: To develop a feasible, inexpensive, point-of-care computerized reminder to improve sedative-hypnotic prescribing in hospitalized older people. DESIGN: Pre-postintervention with a computer-based reminder. SETTING: Academic medical center. PARTICIPANTS: Hospitalized patients aged 65 and older. INTERVENTION: Computer-based reminder directing clinicians to prescribe a nonpharmacological sleep protocol, to minimize the potential for harm with diphenhydramine and diazepam use by choosing an alternative medication (trazodone or lorazepam), or both. MEASUREMENTS: Frequency of prescription of four sedative-hypnotic drugs (diphenhydramine, diazepam, lorazepam, and trazodone) during the 12 months before (n=12,356 patients) and after (n=12,153) the reminder was instituted. RESULTS: Prescribing of sedative-hypnotics decreased from 2,208 per 12,356 (18%) patients preintervention to 1,832 per 12,153 (15%) postintervention (odds ratio for the intervention=0.82, 95% confidence interval=0.76-0.87), an 18% risk reduction. Combined prescription rates for all four drugs fell consistently throughout the postintervention period. Diphenhydramine, diazepam, and lorazepam orders declined overall, with lorazepam prescriptions decreasing 39% during the intervention. Ninety-five percent of patients were successfully directed to a safer sedative-hypnotic drug or a nonpharmacological sleep protocol. CONCLUSION: Using real-time computer-based reminders could lead to improved sedative-hypnotic prescribing for older persons in acute care. This study highlights the potential to address patient safety concerns, and the quality of medication prescribing in particular, in vulnerable hospitalized patients.

Academic Medical Centers↗
PubMed2006

Case report: activity diagrams for integrating electronic prescribing tools into clinical workflow.

To facilitate the future implementation of an electronic prescribing system, this case study modeled prescription management processes in various primary care settings. The Vanderbilt e-prescribing design team conducted initial interviews with clinic managers, physicians and nurses, and then represented the sequences of steps carried out to complete prescriptions in activity diagrams. The diagrams covered outpatient prescribing for patients during a clinic visit and between clinic visits. Practice size, practice setting, and practice specialty type influenced the prescribing processes used. The model developed may be useful to others engaged in building or tailoring an e-prescribing system to meet the specific workflows of various clinic settings.

Ambulatory Care↗
PubMed2006

The business case for patient safety.

The leadership team at University Health Network describes why it decided to pursue a new information technology initiative to substantially reduce human and system errors and omissions associated with medication management.

Humans↗
PubMed2006

Challenges of creating a one-size-fits-all oncology CPOE application.

Since August 1996, the oncology clinicians at Massachusetts General Hospital (MGH) have been using an in-house developed CPOE system to order chemotherapy for their adult population. While the pediatric chemotherapy ordering remained on paper until November 2003, designing the pediatric chemotherapy functionality into the existing CPOE product proved to be very challenging. It was helpful in one sense because there was an existing framework that was familiar to everyone. It was also restrictive, in the sense that it is hard to enhance it without impacting others already using the same system.

Hospitals, General↗
PubMed2006

Inpatient verbal orders and the impact of computerized provider order entry.

OBJECTIVE: To describe the characteristics of verbal orders at a tertiary care children's hospital. STUDY DESIGN: Between August 2003 and January 2004, the computerized provider order entry (CPOE) system was evaluated for the characteristics of verbal orders. The rate of total orders represented by verbal orders and the rate of unsigned verbal orders were examined before, during, and after CPOE implementation. RESULTS: After CPOE implementation, a mean of 19,996 +/- 521 orders were generated weekly; of these, 2094 +/- 65 (10%) were verbal orders. The greatest rates of verbal orders were from psychiatry (74%) units and involved medication orders (38%; 790/2094). The greatest rates of medication verbal orders were psychotherapeutics (24%; 662/2697). Medical physicians had a larger rate of verbal orders than surgical physicians. The rates of verbal orders and unsigned verbal orders were reduced from 23% and 43% before CPOE implementation to 10% and 9% after implementation, respectively. CONCLUSIONS: Medication orders from physicians to nurses are the primary source of verbal orders in this tertiary care children's hospital. CPOE implementation significantly affected both verbal orders and the rate of unsigned verbal orders. This type of data is important for institutions aiming to decrease verbal orders and associated medical errors.

Child↗
PubMed2006

Types of unintended consequences related to computerized provider order entry.

OBJECTIVE: To identify types of clinical unintended adverse consequences resulting from computerized provider order entry (CPOE) implementation. DESIGN: An expert panel provided initial examples of adverse unintended consequences of CPOE. The authors, using qualitative methods, gathered and analyzed additional examples from five successful CPOE sites. METHODS: Using a card sort method, the authors developed a categorization scheme for the 79 unintended consequences initially identified and then iteratively modified the scheme to categorize 245 additional adverse consequences resulting from fieldwork. Because the focus centered on consequences requiring prevention or remedial action, the authors did not further analyze reported unintended beneficial (positive) consequences. RESULTS: Unintended adverse consequences (UACs) fell into nine major categories (in order of decreasing frequency): 1) more/new work for clinicians; 2) unfavorable workflow issues; 3) never ending system demands; 4) problems related to paper persistence; 5) untoward changes in communication patterns and practices; 6) negative emotions; 7) generation of new kinds of errors; 8) unexpected changes in the power structure; and 9) overdependence on the technology. Clinical decision support features introduced many of these unintended consequences. CONCLUSION: Identifying and understanding the types and in some instances the causes of unintended adverse consequences associated with CPOE will enable system developers and implementers to better manage implementation and maintenance of future CPOE projects.

Communication↗
PubMed2006

Extending the understanding of computerized physician order entry: implications for professional collaboration, workflow and quality of care.

OBJECTIVE: To describe the perceived effect of computerized physician order entry (CPOE) on professional collaboration, workflow and quality of care. DESIGN: Semi-structured interviews with experts involved in the design, implementation and evaluation of computerized physician order systems in the United States. MEASUREMENTS: The interview transcripts were analyzed using six key concepts that identify context, professional collaboration, workflow and quality of care. RESULTS: The interviews reveal the complexity of CPOE. Although providers enter the orders, others collaborate in the decision-making process. There is a profound impact on workflow beyond that of the provider. While quality of care is the main impetus for implementation, it remains terribly difficult to measure the impact on quality. CONCLUSIONS: A proper understanding of CPOE as a collaborative effort and the transformation of the health care activities into integrated care programs requires an understanding of how orders are created and processed, how CPOE as part of an integrated system can support the workflow, and how risks affecting patient care can be identified and reduced, especially during hand-offs in the workflow.

Cooperative Behavior↗
PubMed2005

Implementation of computerized provider order entry in the emergency department: impact on ordering patterns in patients with chest pain.

The impact of implementing a Computerized Provider Order Entry System on ordering patterns is unknown. This study evaluated ordering patterns for CBC, ECG, chest x-ray, BMP, and cardiac enzymes in randomly selected chest pain patients in an adult Emergency Department pre- and post-implementation. The average number of orders documented was significantly higher after implementation for ECG and chest x-ray, but not for the other exams. Order completion times did not change.

Blood Chemical Analysis↗
PubMed2006

The impact of computerised physician order entry systems on pathology services: a systematic review.

PURPOSE: Computerised physician order entry (CPOE) systems hold the promise of significant improvements to health care delivery and patient care. The implementation of such systems is costly and complex. The purpose of this paper is to review current evidence of the impact of CPOE on hospital pathology services. METHODS: This paper presents a review of the literature (1990-August 2004) about CPOE systems and identifies indicators for measuring the impact of CPOE on pathology services. RESULTS: Nineteen studies which contained some form of 'control' group, were identified. They featured a variety of designs including randomised controlled trials, quasi-experimental and before and after studies. We categorised these into three groups: studies comparing pathology CPOE systems (with no decision support) to paper systems; pathology CPOE systems (with decision support) to paper systems; and pathology CPOE systems with specific pathology features compared to systems without those features. We identified 10 areas of impact assessment and 39 indicators used to measure the impact of CPOE on different stages of the pathology test ordering and reporting process. CONCLUSION: We conclude that while some data suggest that CPOE systems are beneficial for clinical and laboratory work processes, these data are limited, and further research is needed. Few data are available regarding the impact of CPOE on patient outcomes.

Diffusion of Innovation↗
PubMed2006

Clinical risk management in Dutch community pharmacies: the case of drug-drug interactions.

BACKGROUND: The prevention of drug-drug interactions requires a systematic approach for which the concept of clinical risk management can be used. The objective of our study was to measure the frequency, nature and management of drug-drug interaction alerts as these occur in daily practice of Dutch community pharmacies. METHODS: In total, 63 Dutch pharmacies collected all drug-drug interaction alerts during 153 research days (on average 2.4 days/pharmacy), as well as variables related to these alerts, such as involved medicines, first time or recurrent drug-drug interaction, same or different prescribers, patient data (age, sex) and information about the management of drug-drug interactions by the pharmacy. The latter was discriminated into internal procedures only and external action, such as communication with the patient, the prescriber or the anticoagulation clinic and prescription modification. All drug-drug interactions were classified into categories of clinical relevance (A-F) and available evidence (0-4). RESULTS: A total of 43,129 prescription-only medicines were dispensed during the study period. On average, 16.8 interaction alerts per day per pharmacy were collected. Approximately 6% of all prescriptions generated a drug-drug interaction alert. Of all alerts (n = 2572), 31.1% occurred for the first time and with 21% two different prescribers were involved. The 20 most frequently occurring drug-drug interaction alerts accounted for approximately 76% of all alerts. Cardiovascular drugs, NSAIDs, oral contraceptives and antibacterials were most frequently involved. External action was taken in response to 27.3% of the alerts, meaning either a modification of one of the concerned prescriptions (n = 65; 9.3%), communication with the prescriber or anticoagulation clinic (n = 90; 12.8%) or communication with the patient or a relative (n = 547; 77.9%). Where there was no external action (n = 1860; 72.3%), pharmacists concluded in about two-thirds of cases that the drug-drug interaction had been managed in the past. Other reasons not to intervene externally were for instance: incorrect alert; acceptable drug-drug interaction; or outcome of the interaction considered irrelevant. Adjusted for several variables, a first alert was found to be a main determinant for external action. After stratifying for first alerts no other significant determinants were found. CONCLUSIONS: A high frequency of drug-drug interaction alerts was found. Most concerned recurrent alerts, which were the main reason not to act externally. Concerning the assessment phase in the risk-management process, drug-drug interactions with no or low evidence/relevance should be reconsidered. Concerning the management of drug-drug interactions in pharmacies, the opportunity to actively suppress alerts for a certain period of time should be studied in more detail. There are indicators that the management of patient-orientated advice could be improved and a greater degree of consistency developed for the management of first and recurrent interaction alerts.

Adolescent↗
PubMed2006

Design and implementation of a point-of-care computerized system for drug therapy in Stockholm metropolitan health region--Bridging the gap between knowledge and practice.

INTRODUCTION: Stockholm County Council is the largest health care provider in Sweden with an annual budget of US$ 5 billion and catering the needs of a metropolitan population of 2 million people. About 10% of health care costs are used on drugs. In 1996 Stockholm County Council decided to address the main problems associated with the process and the quality of drug prescribing. METHODS: A multiyear strategy was designed, including the establishment of a strong evidence-based organisation, Drug and Therapeutics Committees and editorial resources to adapt information to the IT-media and the development of the IT-architecture. The development and implementation of computerized tools such as a physician drug order entry system including decision support, a drug information website and electronic transmission of prescriptions were started in 1996. RESULTS: The implementation was slow at the point-of-care units. It took about 6 years before the implementation process gained speed. In September 2005 almost 1000 doctors could use the decision support system for prescribing drugs and more than 70% of all prescriptions were transmitted electronically in our region. CONCLUSIONS: The work with the strategy has shown that improvements in drug use can be accomplished by providing access to simple, rapid and safe electronic tools, but the information provided has to be associated with well-recognized regional and national expert organisations.

Delivery of Health Care↗
PubMedDate not supplied

[Computer-aided electronic prescribing in Spanish hospitals].

OBJECTIVE: To describe electronic prescribing in a sample of Spanish hospitals and activities derived from its implementation in Hospital Pharmacy Departments, software features and acceptance. METHOD: A survey that included data related to program implantation and performance in hospitals with diverse characteristics was designed. It was posted at the Sociedad Española de Farmacia Hospitalaria website for a 6-month period and completed by phone. RESULTS: A total of 47 hospitals answered the survey. 13 (27.7%) had electronic prescribing systems, and of these, 8 of them had more than 75% of beds included in the system. In 15 (31.9%) hospitals that did not have it, its implementation was in project in the near future. Software applications used in this new health technology were not homogeneous, while integration of applications that facilitate Pharmaceutical Care tasks was infrequent. In 61.5% of the hospitals with electronic prescribing, transcription used to be the pharmacist s task. In 92.3% of these hospitals, order validation is currently carried out by pharmacists. The degree of satisfaction with the system was rated as good or very good by 92.3% of pharmacists. CONCLUSIONS: Computer-aided electronic prescribing appears to be a helpful tool for restructuring Department organization and investing time in new activities. A more ambitious and effective approach to clinical activities will therefore be possible. System optimization requires taking into account factors such as worker time investment, since new activities will be developed, along with the need for training courses.

Data Collection↗
PubMed2006

Standardized documentation of drug recommendations in discharge letters--a contribution to quality management in cooperative care.

OBJECTIVES: To analyze the necessity and potential usefulness of a computerized physician order entry (CPOE) system in supporting the writing of pharmacotherapeutic recommendations in discharge letters. METHODS: Systematic analysis of drug recommendations in discharge letters of a hospital providing tertiary care, structured interviews with in-hospital prescribers, and focus groups with general practitioners who admit patients to this hospital. RESULTS: We analyzed 1800 randomly selected discharge letters, 1205 of which contained pharmacotherapeutic recommendations. The frequencies, structure, and quality of these recommendations varied considerably between departments. Nearly 16% of the recommendations contained both proprietary (brand) and non-proprietary names (active ingredient). Interviewed clinicians expressed interest in CPOE systems that check for contraindications and interactions between drugs, suggest cheaper products, and automatically insert active ingredients when omitted. The focus group sessions confirmed that the pharmacotherapeutic recommendations in current discharge letters do not effectively support daily clinical practice. CONCLUSIONS: Documenting active ingredients as well as brand names in drug therapy recommendations is currently not part of clinical practice. Computerized decision support can help to optimise the structure and communication of therapeutic information across interfaces and can be a quality factor with considerable influence on process quality, outcome quality, and costs of cooperative patient care.

Continuity of Patient Care↗
PubMed2006

Managed care penetration and other factors affecting computerized physician order entry in the ambulatory setting.

OBJECTIVES: To estimate the current uses level of ambulatory computerized physician order entry (A-CPOE) among physicians and to examine the relationship of managed care penetration as well as other market and practice characteristics to use of A-CPOE by physicians. DATA SOURCES: This study uses both primary and secondary data sources. The primary data source was a large-scale survey of physicians' use of information technologies in Florida. Secondary data on managed care penetration were obtained from the Florida Agency for Health Care Administration, and other market-level data were extracted from the area resource file. METHODS: A hierarchical logistic regression model was used to examine the correlation of county-level and practice-level characteristics with physicians' self-reported use of A-CPOE systems. RESULTS: Overall, 1360 physicians (32.4%) indicated use of an A-CPOE system. Findings suggest that 1% more managed care penetration was associated with 2.1% lower use of A-CPOE (P = .003). Additionally, practice size, multispecialty affiliation, and primary care practice were significantly and positively correlated with the use of A-CPOE. Physician age was negatively associated with A-CPOE use. CONCLUSION: Managed care organizations may experience significant financial savings from A-CPOE use by physicians; however, managed care penetration in a community negatively affects A-CPOE use among physicians in their practices. Further study regarding the causal nature of this association is warranted.

Adult↗
PubMed2006

Improved time intervals by implementation of computerized physician order entry-based stroke team approach.

BACKGROUND: The need for rapid evaluation and treatment of acute stroke patients has been well documented. A computerized physician order entry (CPOE) system can improve communication and provide immediate access to information, which may be useful for an effective team approach program targeted to reduce in-hospital time delays. METHODS: To reduce the time from a patient's arrival at the emergency department to thrombolysis, a team approach program using CPOE was developed, and its efficacy was investigated by comparing time intervals from arrival to evaluation and intravenous tissue-type plasminogen activator (tPA) treatment before and after the implementation of the program. RESULTS: Among 379 consecutive patients who were screened as potential candidates for thrombolysis, 25 patients (6.6%) received tPA during a 1-year period after initiation of the program. Fourteen patients were treated with tPA in the previous year. After program implementation, time from arrival to computed tomography scan was reduced from 34 to 19 min (p = 0.01). Time to report of complete blood count was also shortened from 52 to 33 min (p < 0.01). Finally, time from arrival to tPA treatment was reduced by 23 min (from 79 to 56 min; p < 0.01). Onset-to-door time tended to be longer after the program implementation (from 41 to 60 min; p = 0.14). CONCLUSIONS: Implementation of the CPOE-based team approach program significantly reduced time from emergency department arrival to evaluations and treatment.

Acute Disease↗
PubMed1997

Cost savings and avoidance from clinical interventions.

A method that lets a pharmacy department collect data on cost savings and avoidance achieved through pharmacist interventions is described. The pharmacist intervention program at an 849-bed institution is based on the pharmacist's evaluation of the patient, the disease or condition, and the appropriateness of the drug therapy selected. The pharmacist records the recommendation, the rationale, and the intervention outcome, and the data are entered into the medication order-entry system. An assigned code indicates the potential severity of consequences had the intervention not been made. The information is forwarded to the clinical interventions and financial assessment committee (CLIFAC) for analysis of cost savings and potential cost avoidance. To calculate savings, CLIFAC determines the drug acquisition and relevant laboratory costs that would have been charged, as well as the cost of a change in therapy. A method was developed that allows CLIFAC to use hospital-specific diagnosis-related-group data to determine potential cost avoidance as a function of hospital days prevented. From July 1994 through April 1995, 4648 interventions were documented by the 50-member inpatient and ambulatory care pharmacist staff and evaluated and quantified. Of these interventions, 87% were accepted by the medical staff. The accepted interventions represent a net therapy cost saving of $487,833, as well as a cost avoidance of $158,563 achieved by prevention of a potential net 371.9 additional hospital days. A pharmacy department's financial assessment committee evaluated pharmacist interventions by determining changes in the cost of therapy and estimating potential changes in the length of stay.

Cost Savings↗