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A proposed clinical decision support system (CDSS) output message.

When a clinical decision support system (CDSS) or other ancillary system detects an abnormal or problematic condition, healthcare providers must be notified in a timely manner so that appropriate corrective action can be taken. Delivery of clinical alerts to the appropriate providers is the role of a notification system.1,2 The content generating system must therefore communicate to the notification system the content to be delivered and any additional directives regarding the resulting notifications. This work is sanctioned by the Health Level Seven, Inc., Clinical Decision Support Technical Committee (CDS TC) and is based on previous proposals to the CDS TC.3 The proposed message model is presented as an XML schema.4

Decision Support Systems, Clinical↗

Implementing a commercial rule base as a medication order safety net.

A commercial rule base was used to identify drug orders exceeding standard dosage limits at a university hospital. Initially, there were substantial numbers of clinically insignificant alerts. A method for altering the commercial rule base will be implemented to increase rule specificity for problematic drugs. With minor modifications, commercial rule bases can be used to rapidly create a safety net that screens drug orders for excessive dosages, while preserving the rule architecture for more finely tuned clinical decision support.

Drug Therapy, Computer-Assisted↗

Dose range checking in a computer order entry system.

We recently implemented a computer order entry (COE) system which uses decision support for dose range checking. In addition to providing decision support at the point of order entry via "alerts", the system tracks data regarding the occurrence of alerts related to dosing errors. We reviewed the dosing alerts for a "high risk" medications in a COE system. Telephone alerts were more likely to trigger alerts. There were more low dose than high dose alerts. Some alerts could be avoided by adjusting the threshold.

Drug Therapy, Computer-Assisted↗

Prescription of amiodarone through a computerized template that includes both decision support and executive functions improves the monitoring for toxicities.

The antiarrhythmic drug amiodarone causes severe side effects that warrant active monitoring. In a given patient, monitoring for amiodarone toxicities involves checking past results of five laboratory/imaging tests and reordering four of these tests every 6 to 12 month, a process that is both complex and time-consuming. We hypothesized that a software tool that automated the retrieval and ordering of these tests in a context-sensitive manner would improve the completeness of surveillance for drug toxicities.

Amiodarone↗

Effectiveness of an electronic medical record clinical quality alert prepared by off-line data analysis.

We tested whether off-line data analysis, instead of event monitoring, was a viable method for initiating a clinical quality alert. A cohort of patients eligible for an alert was identified by off-line data analysis and a flag was set in their ambulatory Electronic Medical Records. One hundred clinicians were randomly assigned either to a control group or to a group that received the alert when viewing the electronic medical record of eligible patients. Primarily due to actions of their clinicians, 315 of the 580 patients (54.3%) seen by alerted clinicians were no longer eligible for the alert at the end of the one month study, compared to 128 of the 496 patients (25.8%) seen by control clinicians (p<.001). When not alerted, Allied Health clinicians were less likely than physicians to prescribe aspirin, but they responded similarly to the alert. There were no differences in response by specialty or gender of the clinician. Off-line data analysis proved to be an effective method of initiating a clinical alert.

Ambulatory Care Information Systems↗

The concept of "template" assisted electronic medical record.

A new design for an electronic medical record with flexible template generation was developed. The "template" in this paper refers to one of the tools that calls a user's attention to entering the data items for each problem or to ordering tests when they are due. The template shows the patient's previous data and guides physicians to record the consistent description. Two kinds of medical data dictionaries are prepared. Data representations of signs, symptoms, laboratory tests, and other examinations are defined in the check items dictionary. The problem dictionary contains the possible patient problems with relation to check items and other kinds of related subjects. This system provides Problem Oriented Medical Record (POMR) and the graphical presentation of various patient data. The system was designed to establish a constant and integrated medical record.

Artificial Intelligence↗

Beyond the computer-based patient record: re-engineering with a vision.

In order to achieve real benefit from the potential offered by a Computer-Based Patient Record, the capabilities of the technology must be applied along with true re-engineering of healthcare delivery processes. University Hospital recognizes this and is using systems implementation projects, such as the catalyst, for transforming the way we care for our patients. Integration is fundamental to the success of these initiatives and this must be explicitly planned against an organized systems architecture whose standards are market-driven. University Hospital also recognizes that Community Health Information Networks will offer improved quality of patient care at a reduced overall cost to the system. All of these implementation factors are considered up front as the hospital makes its initial decisions on to how to computerize its patient records. This improves our chances for success and will provide a consistent vision to guide the hospital's development of new and better patient care.

Computer Communication Networks↗

Clinical event management using push technology--implementation and evaluation at two health care centers.

For two years, beginning in 1995, we developed and implemented a novel method for delivering patient information directly to clinicians. Using rules based logic to scan data bound for an electronic medical record, messages were automatically written that alert care providers to important patient information. These messages were transmitted electronically to either existing email accounts or to wide-screen pagers, or to both. This system now is operational at two medical centers. We describe the model and methods that led to its successful implementation and compare it to other ways of delivering patient information.

Attitude to Computers↗

Variation in implementation and use of computerized clinical reminders in an integrated healthcare system.

OBJECTIVES: To identify patterns of use of computerized clinical reminders (CCRs) across an integrated healthcare system and describe institutional factors associated with their implementation. STUDY DESIGN: Cross-sectional study. METHODS: At a national electronic health record (EHR) meeting, we surveyed 261 participants from 104 Veterans Health Administration (VHA) healthcare facilities regarding the number and types of CCRs available at each facility. Potential explanatory measures included perceived utility and ease of use of CCRs, training and personnel support for computer use, EHR functionalities, and performance data feedback to providers at each facility. RESULTS: The number of conditions with CCRs in use at a facility ranged from 1 to 15; most reported implementation of reminders for 10 of the 15 conditions surveyed. The most commonly implemented CCRs, used in more than 85% of facilities, were for conditions with VHA national performance measures (eg, tobacco cessation, immunizations, diabetes mellitus). The least commonly implemented CCRs were for post-deployment health evaluation and management, medically unexplained symptoms, and erectile dysfunction. Facilities that had implemented greater numbers of clinical reminders had providers who reported greater ease of use and utility of the reminders (P= .01). CONCLUSIONS: VHA facilities vary markedly in their implementation of CCRs. This effect may be partly explained by greater incorporation of clinical reminders for conditions with performance measures. Further study is needed to determine how to best implement clinical reminders and the institutional factors important in their use.

Attitude of Health Personnel↗

A controlled time-series trial of clinical reminders: using computerized firm systems to make quality improvement research a routine part of mainstream practice.

OBJECTIVE: To explore the feasibility of conducting unobtrusive interventional research in community practice settings by integrating firm-system techniques with time-series analysis of relational-repository data. STUDY SETTING: A satellite teaching clinic divided into two similar, but geographically separated, primary care group practices called firms. One firm was selected by chance to receive the study intervention. Forty-two providers and 2,655 patients participated. STUDY DESIGN: A nonrandomized controlled trial of computer-generated preventive reminders. Net effects were determined by quantitatively combining population-level data from parallel experimental and control interrupted time series extending over two-month baseline and intervention periods. DATA COLLECTION: Mean rates at which mammography, colorectal cancer screening, and cholesterol testing were performed on patients due to receive each maneuver at clinic visits were the trial's outcome measures. PRINCIPAL FINDINGS: Mammography performance increased on the experimental firm by 154 percent (0.24 versus 0.61, p = .03). No effect on fecal occult blood testing was observed. Cholesterol ordering decreased on both the experimental (0.18 versus 0.1 1, p = .02) and control firms (0.13 versus 0.07, p = .03) coincident with national guidelines retreating from recommending screening for young adults. A traditional uncontrolled interrupted time-series design would have incorrectly attributed the experimental-firm decrease to the introduction of reminders. The combined analysis properly indicated that no net prompting effect had occurred, as the difference between firms in cholesterol testing remained stochastically stable over time (0.05 versus 0.04, p = .75). A logistic-regression analysis applied to individual-level data produced equivalent findings. The trial incurred no supplementary data collection costs. CONCLUSIONS: The apparent validity and practicability of our reminder implementation study should encourage others to develop computerized firm systems capable of conducting controlled time-series trials.

Adult↗

Registers, recalls and reminders.

General practitioners care for a large number of patients who require a wide range of preventive care procedures. Most patients attend at least once each year, providing an opportunity to offer and/or perform indicated preventive care. If these opportunities are taken, only a few patients will ever need to be recalled for preventive care. Reliable, thorough and consistent opportunistic offering of preventive care depends on having an efficient information system that reminds the doctor of what care is due. Manual systems are too expensive to use for this task because of their high labour costs. Recalling all patients routinely for preventive care is inefficient, expensive and unrewarding. Electronic medical record systems can remind doctors of when preventive interventions are due and generate recall notices at the lowest cost.

Family Practice↗

Home telecare system integrated with periodic health reminder and medical record & multimedia health information.

The necessity of home telecare system is growing due to increase in desire for health promotion owing to increase in chronic diseases, aged population and medical expenses. Already, we computerized patient's data and offer periodic health reminder to patients for health promotion by using Life-time Health Monitoring Program (LHMP). Our study connected LHMP to the Web on internet by CGI as an electronic medical record; enabling reference to patient's medical records anywhere. The study also made possible video teleconsultation and constructed multimedia database to provide health-related information to the patients. On these bases, a flow chart was developed using the home telecare to practice manage patients with chronic diseases, old patients, and the handicapped. Further standardization in data, establishment of law bases for home telecare system, development of rules for medical fees and active utilization of biomedical telemetry will be needed to extend home telecare system.

Home Care Services↗

Factors associated with improved completion of computerized clinical reminders across a large healthcare system.

OBJECTIVE: To analyze the relationship of completion rates for a standardized set of computerized clinical reminders across a large healthcare system to practice and provider characteristics. METHODS: The relationship between completion rate for 13 standardized reminders at 49 primary care practices in the VA New England Healthcare System for a 30-day period and practice characteristics, provider demographics and, via survey, provider attitudes was analyzed. RESULTS: There was no difference in clinical reminder completion rate between staff physicians versus nurse practitioners/physician assistants (87.6% versus 88.1%) but both were better than residents (76.6%, p<0.0001). With residents excluded, there were no differences between hospital and community-based clinics or between teaching and non-teaching sites. Clinical reminder completion rate was lower for sites that did not fully utilize support staff in completion process versus sites that did (82.4% versus 88.1%, p<0.0001). Analysis of survey results showed no correlation of completion rate with provider demographics or attitudes towards reminders. However there was significant correlation with frequency of receiving individual feedback on reminder completion (r=0.288, p=0.004). CONCLUSION: Completion of computerized clinical reminders was not affected by a variety of provider characteristics, including professional training, demographics and provider attitude, although was lower among residents than staff providers. However incorporation of support staff into clinic processes and individualized feedback to providers were strongly associated with improved completion. These findings demonstrate the importance of considering practice and provider factors and not just technical elements when implementing informatics tools.

Computers↗

Point-of-Service reminders for prescribing cardiovascular medications.

OBJECTIVES: To provide physicians with evidence-based recommendations for care at the point of service, using an automated system, and to evaluate its effectiveness in promoting prescriptions to prevent cardiovascular events. STUDY DESIGN: Randomized controlled trial. METHODS: Patients at risk for cardiovascular events who might benefit from angiotensin-converting enzyme inhibitors or 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors (statins) were identified from electronic data in a managed care organization and randomly assigned into 2 groups. Physicians seeing outpatients in the intervention group were faxed a sheet with pertinent patient data, including a recommendation to prescribe the indicated medication. In the control group, the data sheet did not include the recommendation. Dispensed prescriptions were compared between groups. RESULTS: More than 4000 visits were observed for each medication type. Angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers were dispensed in 7.1% of visits in the intervention group versus 5.7% in the control group (P = .048) following the first patient-physician encounter. No significant difference was observed for statins (intervention, 8.1% vs control, 7.7%). Data for all patient-physician encounters and both medications were combined in logistic regression analysis. The odds ratio was 1.19 for a dispensed prescription in the intervention group and 1.54 for 2 or more visits versus 1 visit. CONCLUSIONS: An automated system that provides pertinent data and tailored recommendations for care at the point of service modestly increased prescription dispensing rates. Targeting patient-provider encounters to change provider behavior is challenging; however, even small effects can produce clinically important results over time.

Aged↗

Computerized reminders to physicians in the emergency department: a web-based system to report late-arriving abnormal laboratory results.

Inadequate follow-up for abnormal laboratory results is a frequent cause of medical errors, especially for those that arrive after the patient is discharged in an Emergency Department (ED) setting. We have developed and implemented a computerized reminder system called the Automated Late-Arriving Results Monitoring System (ALARMS) for the Emergency Department at Children's Hospital, Boston. ALARMS scans the hospital's laboratory and ED registration databases to generate an electronic daily log of all late-arriving abnormal results for ED patients, which can be obtained by authorized physicians through a web-based user interface inside the hospital's intranet. We believe, by using this automated data-driven rule-based reminder system, we can minimize the risk of errors resulting from late-arriving laboratory data without requiring substantial additional efforts from clinicians.

Boston↗

Mailings timed to patients' appointments: a controlled trial of fecal occult blood test cards.

BACKGROUND: Fecal occult blood testing (FOBT) programs cost-effectively reduce colon cancer mortality. To improve the rate of colon cancer screening with FOBT, we tested the effect of mailing FOBT cards timed to appointments on the rates of completion of FOBT. DESIGN: Controlled trial. SETTING/PARTICIPANTS: A total of 119 patients with primary care appointments scheduled in May or June 2000 for an urban, public hospital clinic that serves predominantly low-income, African Americans with chronic diseases. The patients in the study were selected by linking a quality improvement registry, the appointment system database, and an FOBT database to generate a list of clinic patients who had not completed an FOBT in the preceding year. INTERVENTION: Subjects were assigned to either a system of mailing FOBT cards and reminders 2 weeks prior to a scheduled appointment or usual care. MAIN OUTCOME MEASURES: The primary outcomes were the rate of screening at the index appointment and during the year beginning with the date of the index appointment. RESULTS: The rate of return of the FOBT cards during the year beginning with the index appointment was 40.7% for the intervention group compared to 5% for the usual care group (odds ratio [OR]=13.0, p <0.001). The difference was accounted for largely by increases in screening at the index appointment (35.6% compared to 3.3%, OR=16.0, p <0.001). CONCLUSIONS: Using computer databases to generate a list of patients due for FOBT and then mailing FOBT cards timed to a scheduled appointment significantly increased the rate of colon cancer screening. This may be an efficient approach to increasing colon cancer screening with FOBT.

Appointments and Schedules↗