A Mobile Post Anesthesia Care Unit Order Reminder System Improves Timely Order Entry.

Transition to the postanesthesia care unit (PACU) requires timely order placement by anesthesia providers. Computerized ordering enables automated order reminder systems, but their value is not fully understood. We performed a single-center, retrospective cohort study to estimate the association between automated PACU order reminders and primary outcomes (1) on-time order placement and (2) the degree of delay in placement. As a secondary post-hoc analysis, we studied the association between late order placement and PACU outcomes. We included patients with a qualifying postprocedure order from January 1, 2019, to May 31, 2023. We excluded cases transferred directly to the ICU, whose anesthesia provider was involved in the pilot testing of the reminder system, or those with missing covariate data. Order reminder system usage was defined by the primary attending anesthesiologist's receipt of a push notification reminder on the day of surgery. We estimated the association between reminder system usage and timely order placement using a logistic regression. For patients with late orders, we performed a survival analysis of order placement. The significance level was 0.05. Patient (e.g., age, race), procedural (e.g., anesthesia duration), and provider-based (e.g., ordering privileges) variables were used as covariates within the analyses. Reminders were associated with 51% increased odds of order placement prior to PACU admission (Odds Ratio: 1.51; 95% Confidence Interval: 1.43, 1.58; p ≤ 0.001), reducing the incidence of late PACU orders from 17.5% to 12.6% (p ≤ 0.001). In patients with late orders, the reminders were associated with 10% quicker placement (Hazard Ratio: 1.10; 95% CI 1.05, 1.15; p < 0.001). On-time order placement was associated with decreased PACU duration (p < 0.001), decreased odds of peak PACU pain score (p < 0.001), and decreased odds of multiple administration of antiemetics (p = 0.02). An order reminder system was associated with an increase in order placement prior to PACU arrival and a reduction in delay in order placement after arrival.

Optimizing pharmacists' detection of prescribing errors: Comparison of on-ward and central pharmacy services.

WHAT IS KNOWN AND OBJECTIVE: Prescribing errors are the leading cause of adverse drug events in hospitalized patients. Pharmaceutical validation, defined as the review of drug orders by a pharmacist, associated with clinical decision support (CDS) systems, significantly reduces these errors and adverse drug events. In Belgium, because clinical pharmacy services have limited public financial support, most pharmaceutical validations are performed at the central pharmacy instead of on-ward, by hospital pharmacists doing dispensing activities. In that context, we aimed at evaluating whether the strategy of CDS-guided central validation was the most appropriate method to improve the quality and safety of medicines' use compared to an on-ward pharmaceutical validation. METHODS: Our retrospective observational study was conducted in a Belgian tertiary care hospital, in 2018-2019. Data were extracted from our validation software and pharmacists' charts. The outcomes of the study were the number of pharmaceutical interventions due to the detection of prescribing errors, reasons for interventions, their acceptance rate and their potential clinical impact (according to two blinded experts) in the central pharmacy and on-ward validation groups. RESULTS AND DISCUSSION: Despite the use of the same CDS, a pharmaceutical intervention following the detection of a prescribing error was made for 2.9% (20/698) of central group patients and 13.3% (93/701) of on-ward patients (χ2  = 49.97, p < 0.001). Interventions made at the central pharmacy (n = 20) mostly relied on CDS-alerts (i.e. drug-drug interaction [25%] or overdosing [20%]) while interventions made on-ward (n = 93) were also for pharmacotherapy optimization (i.e. no valid indication [25%] or inappropriate drug's choice [11%]). The on-ward validation group showed a higher acceptance rate compared to the central group (84% and 65%, respectively [Fisher's test, p = 0.053]). Proportions of interventions with significant or very significant clinical impact were similar between the two groups but as fewer interventions were made centrally, a significant proportion of errors were probably not detected by the central validation. WHAT IS NEW AND CONCLUSION: On-ward pharmaceutical validation leads to a higher rate of prescribing error detection. Pharmaceutical interventions made by on-ward pharmacists are also better accepted and more relevant, going further than CDS-alerts.

Developing an Integrated Electronic Medication Reconciliation Platform and Evaluating its Effects on Preventing Potential Duplicated Medications and Reducing 30-Day Medication-Related Hospital Revisits for Inpatients.

The aims were to develop an integrated electronic medication reconciliation (ieMR) platform, evaluate its effects on preventing potential duplicated medications, analyze the distribution of the potential duplicated medications by the Anatomical Therapeutic and Chemical (ATC) code for all inpatients, and determine the rate of 30-day medication-related hospital revisits for a geriatric unit. The study was conducted in a tertiary medical center in Taiwan and involved a retrospective quasi pre-intervention (July 1-November 30, 2015) and post-intervention (October 1-December 31, 2016) study design. A multidisciplinary team developed the ieMR platform covering the process from admission to discharge. The ieMR platform included six modules of an enhanced computer physician order entry system (eCPOE), Pharmaceutical-care, Holistic Care, Bedside Display, Personalized Best Possible Medication Discharge Plan, and Pharmaceutical Care Registration System. The ieMR platform prevented the number of potential duplicated medications from pre (25,196 medications, 2.3%) to post (23,413 medications, 3.8%) phases (OR 1.71, 95% CI, 1.68-1.74; p < .001). The most common potential duplicated medications classified by the ATC codes were cardiovascular system (28.4%), alimentary tract and metabolism (26.4%), and nervous system (14.9%), and by chemical substances were sennoside (12.5%), amlodipine (7.5%), and alprazolam (7.4%). The rate of medication-related 30-day hospital revisits for the geriatric unit was significantly decreased in post-intervention compared with that in pre-intervention (OR = 0.12; 95% CI, 0.03-0.53; p < .01). This study indicated that the ieMR platform significantly prevented the number of potential duplicated medications for inpatients and reduced the rate of 30-day medication-related hospital revisits for the patients on the geriatric unit.

Reducing pediatric asthma hospital length of stay through evidence-based quality improvement and deployment of computerized provider order entry.

Objective: Evaluate the impact of multi-component quality improvement for pediatric asthma care focusing on serial use of an evidence-based clinical pathway via paper order sets, pathway integration into computerized provider order entry (CPOE), use of a clinical respiratory score (CRS) and a discharge checklist. Methods: Outcomes were assessed over three intervention periods and 50 months on: time to beta-agonist and steroid first administration, frequency of readmissions and hospital length of stay. A general linear model estimated mean log(LOS) over time and between study periods. Time to discharge was transformed using the natural logarithm. Results: No improvements in time to first beta-agonist or steroid administration were observed. There was a reduction in 100-day readmissions (p = 0.008): decreasing from 7.4 to 2.1% after introduction of paper order sets and CRS (adjusted p = 0.04); to 3.9% after CPOE implementation (adjusted p = 0.53) and to 2.2% when a discharge checklist was added (adjusted p = 0.01). There was a statistically significant reduction in LOS between study periods (p = 0.015). The geometric mean LOS in hours during study periods 1-4 were: 34.8 (95% CI: 32.2, 37.6), 29.3 (95% CI: 27.5, 31.3), 29.0 (95% CI: 27.0, 31.3) and 23.1 (95% CI: 22.1, 24.2). Pair-wise comparisons between periods were statistically significant (adjusted p ≤ 0.003), except for Periods 2 and 3 (adjusted p = 0.83). Conclusions: Hospital length of stay and 100-day readmissions rate in a predominantly Hispanic, Medicaid patient population were reduced by utilization of an evidence-based best practices asthma management pathway and CRS within CPOE, combined with a checklist to expedite discharge.

Avoiding chemotherapy prescribing errors: Analysis and innovative strategies.

BACKGROUND: At Freiburg University Medical Center, chemotherapy prescriptions are processed via a computerized physician order entry (CPOE) tool and clinically checked by a designated chemotherapy surveillance team. Any error detected is reported instantly, corrected, and prospectively recorded. The objective of the current study was to gain insight into the causes, potential consequences, and future preventability of chemotherapy prescribing errors. METHODS: A detailed analysis of 18,823 consecutive antineoplastic orders placed in 2013 through 2014 was performed. In cooperation with information technology (IT) specialists, the intercepted errors were analyzed for effective future prevention using IT measures. Potential error consequences were determined by case discussions between pharmacists and physicians. RESULTS: Within 24 months, a total of 406 chemotherapy prescribing errors were intercepted that affected 375 (2%) of the total orders. Errors were classified as clinically relevant in 279 of the chemotherapy orders (1.5%). In these cases, reduced therapeutic efficacy (0.44%), the need for increased monitoring (0.48%), prolonged hospital stay (0.55%), and fatality (0.02%) were avoided as potential consequences. The most efficient conventional measures for error prevention comprised checking the order history and patient's medical record, and a detailed knowledge of chemotherapy protocols. Of all the errors analyzed, 61% would be avoided through further software development. The improvements identified are implemented through a validated next-generation CPOE tool. CONCLUSIONS: The upgraded CPOE tool can be shared across other hospitals to raise safety standards and spread potential benefits across a wider patient population. The current analysis also highlighted that approximately 30% to 40% of errors cannot be avoided electronically. Therefore, pharmacovigilance initiatives remain indispensable.

The impact of a medication reconciliation programme at geriatric hospital admission: A pre-/postintervention study.

AIMS: The aim of this study was to improve medication reconciliation and reduce the occurrence of duplicate prescriptions by pharmacists and physicians within 72 hours of hospital admission using an intelligent prescription system combined with the National Health Insurance PharmaCloud system to integrate the database with the medical institution computerized physician order entry (CPOE) system. METHODS: This 2-year intervention study was implemented in the geriatric ward of a hospital in Taiwan. We developed an integrated CPOE system linked with the PharmaCloud database and established an electronic platform for coordinated communication with all healthcare professionals. Patients provided written informed consent to access their PharmaCloud records. We compared the intervention effectiveness within 72 hours of admission for improvement in pharmacist medication reconciliation, increased at-home medications documentation and decreased costs from duplicated at-home prescriptions. RESULTS: The medication reconciliation rate within 72 hours of admission increased from 44.0% preintervention to 86.8% postintervention (relative risk = 1.97, 95% confidence interval [CI]: 1.69-2.31; P < .001). The monthly average of patients who brought and took home medications documented in the CPOE system during hospitalization increased by 7.54 (95% CI 5.58-20.49, P = .22). The monthly average of home medications documented increased by 102.52 (95% CI 38.44-166.60; P = .01). Savings on the monthly average prescription expenditures of at-home medication increased by US$ 2,795.52 (95% CI US$1310.41-4280.63; P < .01). CONCLUSION: Integrating medication data from PharmaCloud to the hospital's medical chart system improved pharmacist medication reconciliation, which decreased duplicated medications and reduced in-hospital medication costs.

A Bedside Computerized Decision-Support Tool for Intravenous Insulin Infusion Management in Critically Ill Patients.

Intravenous (IV) insulin infusions using a validated protocol are the recommended method for blood glucose control in critically ill patients. Computerized decision-support tools improve quality over manual paper-based protocols. However, nonproprietary computerized tools targeting the recommended blood glucose range of 140-180 mg/dL are not readily available. A bedside computerized decision-support tool was developed at a US Department of Veterans Affairs health system to assist the nursing staff with the management of patients requiring IV insulin infusion. Initial evaluation showed that the tool was useful in the safe and effective management of an IV insulin infusion protocol for blood glucose control targeting the updated blood glucose range.

Does Computerized Physician Order Entry Benefit from Dynamic Structured Data Entry? A Quasi-Experimental Study.

BACKGROUND: With advancements in information technology, computerized physician order entry (CPOE) and electronic Medical Records (eMR), have become widely utilized in medical settings. The predominant mode of CPOE in Taiwan is free text entry (FTE). Dynamic structured data entry (DSDE) was introduced more recently, and has increasingly drawn attention from hospitals across Taiwan. This study assesses how DSDE compares to FTE for CPOE. METHODS: A quasi-experimental study was employed to investigate the time-savings, productivity, and efficiency effects of DSDE in an outpatient setting in the gynecological department of a major hospital in Taiwan. Trained female actor patients were employed in trials of both entry methods. Data were submitted to Shapiro-Wilk and Shapiro-Francia tests to assess normality, and then to paired t-tests to assess differences between DSDE and FTE. RESULTS: Relative to FTE, the use of DSDE resulted in an average of 97% time saved and 55% more abundant and detailed content in medical records. In addition, for each clause entry in a medical record, the time saved is 133% for DSDE compared to FTE. CONCLUSION: The results suggest that DSDE is a much more efficient and productive entry method for clinicians in hospital outpatient settings. Upgrading eMR systems to the DSDE format would benefit both patients and clinicians.

Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging.

Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or hydrocephalus (HMH) at non-contrast material-enhanced head computed tomographic (CT) examinations and to determine algorithm performance for detection of suspected acute infarct (SAI). Materials and Methods This HIPAA-compliant retrospective study was completed after institutional review board approval. A training and validation dataset of noncontrast-enhanced head CT examinations that comprised 100 examinations of HMH, 22 of SAI, and 124 of noncritical findings was obtained resulting in 2583 representative images. Examinations were processed by using a convolutional neural network (deep learning) using two different window and level configurations (brain window and stroke window). AI algorithm performance was tested on a separate dataset containing 50 examinations with HMH findings, 15 with SAI findings, and 35 with noncritical findings. Results Final algorithm performance for HMH showed 90% (45 of 50) sensitivity (95% confidence interval [CI]: 78%, 97%) and 85% (68 of 80) specificity (95% CI: 76%, 92%), with area under the receiver operating characteristic curve (AUC) of 0.91 with the brain window. For SAI, the best performance was achieved with the stroke window showing 62% (13 of 21) sensitivity (95% CI: 38%, 82%) and 96% (27 of 28) specificity (95% CI: 82%, 100%), with AUC of 0.81. Conclusion AI using deep learning demonstrates promise for detecting critical findings at noncontrast-enhanced head CT. A dedicated algorithm was required to detect SAI. Detection of SAI showed lower sensitivity in comparison to detection of HMH, but showed reasonable performance. Findings support further investigation of the algorithm in a controlled and prospective clinical setting to determine whether it can independently screen noncontrast-enhanced head CT examinations and notify the interpreting radiologist of critical findings. © RSNA, 2017 Online supplemental material is available for this article.

Clinical Practice Guideline: Safe Medication Use in the ICU.

OBJECTIVE: To provide ICU clinicians with evidence-based guidance on safe medication use practices for the critically ill. DATA SOURCES: PubMed, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, Scopus, and ISI Web of Science for relevant material to December 2015. STUDY SELECTION: Based on three key components: 1) environment and patients, 2) the medication use process, and 3) the patient safety surveillance system. The committee collectively developed Population, Intervention, Comparator, Outcome questions and quality of evidence statements pertaining to medication errors and adverse drug events addressing the key components. A total of 34 Population, Intervention, Comparator, Outcome questions, five quality of evidence statements, and one commentary on disclosure was developed. DATA EXTRACTION: Subcommittee members were assigned selected Population, Intervention, Comparator, Outcome questions or quality of evidence statements. Subcommittee members completed their Grading of Recommendations Assessment, Development, and Evaluation of the question with his/her quality of evidence assessment and proposed strength of recommendation, then the draft was reviewed by the relevant subcommittee. The subcommittee collectively reviewed the evidence profiles for each question they developed. After the draft was discussed and approved by the entire committee, then the document was circulated among all members for voting on the quality of evidence and strength of recommendation. DATA SYNTHESIS: The committee followed the principles of the Grading of Recommendations Assessment, Development, and Evaluation system to determine quality of evidence and strength of recommendations. CONCLUSIONS: This guideline evaluates the ICU environment as a risk for medication-related events and the environmental changes that are possible to improve safe medication use. Prevention strategies for medication-related events are reviewed by medication use process node (prescribing, distribution, administration, monitoring). Detailed considerations to an active surveillance system that includes reporting, identification, and evaluation are discussed. Also, highlighted is the need for future research for safe medication practices that is specific to critically ill patients.

Transfusing Wisely: Clinical Decision Support Improves Blood Transfusion Practices.

BACKGROUND: The cost and risks of red blood cell (RBC) transfusions, along with evidence of overuse, suggest that improving transfusion practices is a key opportunity for health systems to improve both the quality and value of patient care. Previous work, which included a BestPractice Advisory (BPA), was adapted in a quality improvement project designed to reduce both exposure to unnecessary blood products and costs. METHODS: A prospective, pre-post study was conducted at an academic medical center with a diverse patient population. All noninfant inpatients without gastrointestinal bleeding who were not within 12 hours of surgical procedures were included. The interventions were education, a BPA, and other enhancements to the computerized provider order entry system. RESULTS: The percentage of multiunit (≥ 2 units) RBC transfusions decreased from 59.9% to 41.7% during the intervention period and to 19.7% postintervention (p < 0.0001). The percentage of inpatient RBC transfusion units administered for hemoglobin (Hb) ≥ 7 g/dL declined from 72.3% to 57.8% during the intervention period and to 38.0% for the postintervention period (p < 0.0001). The overall rate of inpatient RBC transfusion (units administered per 1,000 patient-days without exclusions) decreased from 89.8 to 78.1 during the intervention period and to 72.7 during the postintervention period (p <0.0001). The estimated annual cost savings was $1,050,750. CONCLUSION: The interventions reduced multiunit transfusions (by 67.1%) and transfusions for Hb ≥ 7 g/dL (by 47.4%). The improvement in the overall transfusion rate (19.0%) was less marked, limited by better baseline performance relative to other centers.

The Paradox of Safety in Medication Management.

The reduction of medication errors is largely dependent upon the structure of the medication management system and the role of the pharmacist in the acute care setting. The significance of this claim became evident in an ethnographic study of nurses' work in which data were generated from extensive observations, formal interviews, and document reviews. Each step of medication management-from ordering to administering-was microanalyzed, and spaces and places for error emerged. Results revealed medication errors defined by proximity to the patient. Pharmacists became a surprising "stop-gap" between the physicians and patients in the recognition and interception of medication errors occurring far removed from the bedside and did not formally support the reporting of these errors. Understanding the complexity of this process and the roles of involved personnel reminds us that there is presently no fool-proof plan for the reduction of medication errors and implies a culture of safety remains elusive.

Information Technology-Based Interventions to Improve Drug-Drug Interaction Outcomes: A Systematic Review on Features and Effects.

The purpose of this systematic review was to identify features and effects of information technology (IT)-based interventions on outcomes related to drug-drug interactions (DDI outcomes). A literature search was conducted in Medline, EMBASE, and the Cochrane Library for published English-language studies. Studies were included if a main outcome was related to DDIs, the intervention involved an IT-based system, and the study design was experimental or observational with controls. Study characteristics, including features and effects of IT-based interventions, were extracted. Nineteen studies comprising five randomized controlled trials (RCT), five non-randomized controlled trials (NRCT) and nine observational studies with controls (OWC) were included. Sixty-four percent of prescriber-directed interventions, and all non-prescriber interventions, were effective. Each of the following characteristics corresponded to groups of studies of which a majority were effective: automatic provision of recommendations within the providers' workflow, intervention at the time of decision-making, integration into other systems, and requiring the reason for not following the recommendations. Only two studies measured clinical outcomes: an RCT that showed no significant improvement and an OWC that showed improvement, but did not statistically assess the effect. Most studies that measured surrogate outcomes (e.g. potential DDIs) and other outcomes (e.g. adherence to alerts) showed improvements. IT-based interventions improve surrogate clinical outcomes and adherence to DDI alerts. However, there is lack of robust evidence about their effectiveness on clinical outcomes. It is recommended that researchers consider the identified features of effective interventions in the design of interventions and evaluate the effectiveness on DDI outcomes, particularly clinical outcomes.

Quality and Clinical Outcomes Associated with a Gentamicin Use System Change for Managing Chorioamnionitis.

Chorioamnionitis is an intra-amniotic infection with serious maternal and neonatal complications. Clinical studies suggest antibiotic administration before delivery reduces the risk of complications compared to after delivery. Our center implemented a standardized intrapartum gentamicin computerized provider order entry and dosage form dispensing system intended to improve treatment initiation efficiency in hospitalized obstetric patients. The primary objective of this retrospective study was to determine if these system changes were associated with decreased time from gentamicin ordering to administration in patients with chorioamnionitis. A secondary objective was to compare clinical outcomes before and after system changes. Classification and regression tree (CART) analyses was applied to identify key predictors. Results demonstrated a trend towards reduced time to administration in the post-implementation group. Clinical outcomes were not altered. CART analysis revealed that post-implementation assignment and length of membrane rupture predicted shorter time to gentamicin initiation. This study suggests that the specific system changes we implemented were safe and improved efficiency, but additional changes are needed to have a clinically significant impact.

Reducing inappropriate non-steroidal anti-inflammatory prescription in primary care patients with chronic kidney disease.

Purpose The purpose of this paper is to reduce inappropriate non-steroidal anti-inflammatory prescribing in primary care patients with chronic kidney disease (CKD). Once diagnosed, CKD management involves delaying progression to end stage renal failure and preventing complications. It is well established that non-steroidal anti-inflammatories have a negative effect on kidney function and consequently, all nephrology consensus groups suggest avoiding this drug class in CKD. Design/methodology/approach The sampling criteria included all practice patients with a known CKD risk factor. This group was refined to include those with an estimated glomerular filtration rate (eGFR)<60 ml/min per 1.73m2 (stage 3 CKD or greater). Phase one analysed how many prescriptions had occurred in this group over the preceding three months. The intervention involved creating an automated alert on at risk patient records if non-steroidal anti-inflammatories were prescribed and discussing the rationale with practice staff. The re-audit phase occurred three months' post intervention. Findings The study revealed 728/7,500 (9.7 per cent) patients at risk from CKD and 158 (2.1 per cent) who were subsequently found to have an eGFR<60 ml/min, indicating=stage 3 CKD. In phase one, 10.2 per cent of at risk patients had received a non-steroidal anti-inflammatory prescription in the preceding three months. Additionally, 6.2 per cent had received non-steroidal anti-inflammatories on repeat prescription. Phase two post intervention revealed a significant 75 per cent reduction in the total non-steroidal anti-inflammatories prescribed and a 90 per cent reduction in repeat non-steroidal anti-inflammatory prescriptions in those with CKD. Originality/value The study significantly reduced non-steroidal anti-inflammatory prescription in those with CKD in primary care settings. It also created a CKD register within the practice and an enduring medication alert system for individuals that risk nephrotoxic non-steroidal anti-inflammatory prescription. It established a safe, reliable and efficient process for reducing morbidity and mortality, improving quality of life and limiting the CKD associated health burden.

Perioperative blood ordering optimization process using information from an anesthesia information management system.

BACKGROUND: As part of ongoing perioperative surgical home implantation process, we applied a previously published algorithm for creation of a maximum surgical blood order schedule (MSBOS) to our operating rooms. We hypothesized that using the MSBOS we could show a reduction in unnecessary preoperative blood testing and associated costs. STUDY DESIGN AND METHODS: Data regarding all surgical cases done at UC Irvine Health's operating rooms from January 1, 2011, to January 1, 2014 were extracted from the anesthesia information management systems (AIMS). After the data were organized into surgical specialties and operative sites, blood order recommendations were generated based on five specific case characteristics of the group. Next, we assessed current ordering practices in comparison to actual blood utilization to identify potential areas of wastage and performed a cost analysis comparing the annual hospital costs from preoperative blood orders if the blood order schedule were to be followed to historical practices. RESULTS: Of the 19,138 patients who were categorized by the MSBOS as needing no blood sample, 2694 (14.0%) had a type and screen (T/S) ordered and 1116 (5.8%) had a type and crossmatch ordered. Of the 6073 procedures where MSBOS recommended only a T/S, 2355 (38.8%) had blood crossmatched. The cost analysis demonstrated an annual reduction in actual hospital costs of $57,335 with the MSBOS compared to historical blood ordering practices. CONCLUSION: We showed that the algorithm for development of a multispecialty blood order schedule is transferable and yielded reductions in preoperative blood product screening at our institution.

Nature and frequency of drug therapy alerts generated by clinical decision support in community pharmacy.

PURPOSE: The purpose of this study is to investigate the nature, frequency, and determinants of drug therapy alerts generated by a clinical decision support system (CDSS) in community pharmacy in order to propose CDSS improvement strategies. METHODS: This is a retrospective analysis of dispensed drugs and drug therapy alerts generated by a CDSS in community pharmacies. RESULTS: Data were extracted from the CDSS of 123 community pharmacies. After taking a 10% random sample of patients with a prescription in the period August 2013-July 2014, 1,672,169 dispensed prescriptions from 81,742 patients were included in the analysis. Of all processed prescriptions, 43% led to one or more drug safety alerts, most frequently drug-drug interaction alerts (15% of all prescriptions), drug-disease interaction alerts (14%), duplicate medication alerts (13%), and dosing alerts (7%). The majority of prescriptions with alerts (80%) were clustered in a minority of patients (16%). The therapeutic drug group of the prescribed drug was the most important determinant of alert generation. Prescriptions for antithrombotic agents accounted for 9.4% of all prescriptions with an alert, beta-blocking agents for 7.5% and angiotensin-converting-enzyme inhibitors for 6.1%. DISCUSSION AND CONCLUSION: The investigated CDSS in Dutch community pharmacy generated one or more drug therapy alerts in nearly half of the processed prescriptions. The majority of alerts were concentrated in a minority of therapeutic drug groups and patients. To decrease the alert burden, CDSS improvements should be directed at the prioritization and integration of drug therapy alerts for these therapeutic groups within patients.

The effect of information technology on hospital performance.

While healthcare entities have integrated various forms of health information technology (HIT) into their systems due to claims of increased quality and decreased costs, as well as various incentives, there is little available information about which applications of HIT are actually the most beneficial and efficient. In this study, we aim to assist administrators in understanding the characteristics of top performing hospitals. We utilized data from the Health Information and Management Systems Society and the Center for Medicare and Medicaid to assess 1039 hospitals. Inputs considered were full time equivalents, hospital size, and technology inputs. Technology inputs included personal health records (PHR), electronic medical records (EMRs), computerized physician order entry systems (CPOEs), and electronic access to diagnostic results. Output variables were measures of quality, hospital readmission and mortality rate. The analysis was conducted in a two-stage methodology: Data Envelopment Analysis (DEA) and Automatic Interaction Detector Analysis (AID), decision tree regression (DTreg). Overall, we found that electronic access to diagnostic results systems was the most influential technological characteristics; however organizational characteristics were more important than technological inputs. Hospitals that had the highest levels of quality indicated no excess in the use of technology input, averaging one use of a technology component. This study indicates that prudent consideration of organizational characteristics and technology is needed before investing in innovative programs.

Software solutions alone cannot guarantee useful radiology requests.

Background The availability of clinical information and a pertinent clinical question can improve the diagnostic accuracy of the imaging process. Purpose To examine if an electronic request form forcing referring clinicians to provide separate input of both clinical information and a clinical question can improve the quality of the request. Material and Methods A total of 607 request forms in the clinical worklists for a computed tomography (CT) scan of the thorax, the abdomen or their combination, were examined. Using software of our own making, we examined the presence of clinical information and a clinical question before and after the introduction of a new, more compelling order method. We scored and compared the quality of the clinical information and the clinical question between the two systems and we examined the effect on productivity. Results Both clinical information and a clinical question were present in 76.7% of cases under the old system and in 95.3% under the new system ( P < 0.001). Individual characteristics of the clinical information and the clinical question however, with the exception of incompleteness, showed little improvement under the new system. There was also no significant difference between the two systems in the number of requests requiring further search. Conclusion The introduction of electronic radiology request forms compelling referring clinicians to provide separate input of clinical information and a clinical question provides only limited benefit to the quality of the request. Raising awareness among clinicians of the importance of a well-written request remains essential.

Implementation of a Novel Electronic Health Record-Embedded Physician Orders for Life-Sustaining Treatment System.

In April 2015, Oregon Health & Science University (OHSU) deployed a web-based, electronic medical record-embedded application created by third party vendor Vynca Inc. to allow real-time education, and completion of Physician Orders for Life Sustaining Treatment (POLST). Forms are automatically linked to the Epic Systems™ electronic health record (EHR) patient header and submitted to a state Registry, improving efficiency, accuracy, and rapid access to and retrieval of these important medical orders. POLST Forms, implemented in Oregon in 1992, are standardized portable medical orders used to document patient treatment goals for end-of-life care. In 2009, Oregon developed the first POLST-only statewide registry with a legislative mandate requiring POLST form signers to register the form unless the patient opts out. The Registry offers 24/7 emergency access to POLST Forms for Emergency Medical Services, Emergency Departments, and Acute Care Units. Because POLST is intended for those nearing end of life, immediate access to these forms at the time of an emergency is critical. Delays in registering a POLST Form may result in unwanted treatment if the paper form is not immediately available. An electronic POLST Form completion system (ePOLST) was implemented to support direct Registry submission. Other benefits of the system include single-sign-on, transmission of HL7 data for patient demographics and other relevant information, elimination of potential errors in form completion using internalized logic, built-in real-time video and text-based education materials for both patients and health care professionals, and mobile linkage for signature capture.