Biomedical subjects

Sheri Eisert

Publications and source records attributed to Sheri Eisert.

6 recordsLinked to original sources

PubMed2006

Observations of residents' work activities for 24 consecutive hours: implications for workflow redesign.

PURPOSE: To examine resident workflow as part of an institutional approach to redesigning the processes of health care delivery. METHOD: In 2003 the authors observed the workflows for 24 hours of seven residents who were at various levels of training (two each from the internal medicine, pediatrics, and obstetrics and gynecology programs, and one from general surgery) at Denver Health Medical Center, an urban, public teaching hospital. RESULTS: Although the residents spent varying proportions of their time in various activities, all had extremely fragmented workflows as they engaged in from 5.0 to 11.3 different activities per hour of nonsleeping time, many of which required only minutes to complete. All residents experienced frequent interruptions and changes in focus. The internal medicine and surgery residents spent large amounts of time traveling, covering three and six miles, respectively, during their 24-hour shifts. Three of the residents slept between one-quarter and one-third of their time on duty (one without any interruption). CONCLUSIONS: The authors suggest that fragmented workflow exists in all residency programs and that applying the same work limitations to all residents in all training programs (to reduce fatigue-related errors) may be overly restrictive. Improving these processes of care will be difficult and will likely require analytic skills and knowledge of systems engineering that most physicians do not have.

Delivery of Health Care↗

PubMed2005

The effect of automated alerts on provider ordering behavior in an outpatient setting.

BACKGROUND: Computerized order entry systems have the potential to prevent medication errors and decrease adverse drug events with the use of clinical-decision support systems presenting alerts to providers. Despite the large volume of medications prescribed in the outpatient setting, few studies have assessed the impact of automated alerts on medication errors related to drug-laboratory interactions in an outpatient primary-care setting. METHODS AND FINDINGS: A primary-care clinic in an integrated safety net institution was the setting for the study. In collaboration with commercial information technology vendors, rules were developed to address a set of drug-laboratory interactions. All patients seen in the clinic during the study period were eligible for the intervention. As providers ordered medications on a computer, an alert was displayed if a relevant drug-laboratory interaction existed. Comparisons were made between baseline and postintervention time periods. Provider ordering behavior was monitored focusing on the number of medication orders not completed and the number of rule-associated laboratory test orders initiated after alert display. Adverse drug events were assessed by doing a random sample of chart reviews using the Naranjo scoring scale. The rule processed 16,291 times during the study period on all possible medication orders: 7,017 during the pre-intervention period and 9,274 during the postintervention period. During the postintervention period, an alert was displayed for 11.8% (1,093 out of 9,274) of the times the rule processed, with 5.6% for only "missing laboratory values," 6.0% for only "abnormal laboratory values," and 0.2% for both types of alerts. Focusing on 18 high-volume and high-risk medications revealed a significant increase in the percentage of time the provider stopped the ordering process and did not complete the medication order when an alert for an abnormal rule-associated laboratory result was displayed (5.6% vs. 10.9%, p = 0.03, Generalized Estimating Equations test). The provider also increased ordering of the rule-associated laboratory test when an alert was displayed (39% at baseline vs. 51% during post intervention, p < 0.001). There was a non-statistically significant difference towards less "definite" or "probable" adverse drug events defined by Naranjo scoring (10.3% at baseline vs. 4.3% during postintervention, p = 0.23). CONCLUSION: Providers will adhere to alerts and will use this information to improve patient care. Specifically, in response to drug-laboratory interaction alerts, providers will significantly increase the ordering of appropriate laboratory tests. There may be a concomitant change in adverse drug events that would require a larger study to confirm. Implementation of rules technology to prevent medication errors could be an effective tool for reducing medication errors in an outpatient setting.

Adult↗

PubMed2005

Using computerized clinical decision support for latent tuberculosis infection screening.

BACKGROUND: The Centers for Disease Control and Prevention (CDC) has published guidelines recommending screening high-risk groups for latent tuberculosis infection (LTBI). The goal of this study was to determine the impact of computerized clinical decision support and guided web-based documentation on screening rates for LTBI. DESIGN: Nonrandomized, prospective, intervention study. SETTING AND PARTICIPANTS: Participants were 8463 patients seen at two primary care, outpatient, public community health center clinics in late 2002 and early 2003. INTERVENTION: The CDC's LTBI guidelines were encoded into a computerized clinical decision support system that provided an alert recommending further assessment of LTBI risk if certain guideline criteria were met (birth in a high-risk TB country and aged <40). A guided web-based documentation tool was provided to facilitate appropriate adherence to the LTBI screening guideline and to promote accurate documentation and evaluation. Baseline data were collected for 15 weeks and study-phase data were collected for 12 weeks. MAIN OUTCOME MEASURES: Appropriate LTBI screening according to CDC guidelines based on chart review. RESULTS: Among 4135 patients registering during the post-intervention phase, 73% had at least one CDC-defined risk factor, and 610 met the alert criteria (birth in a high-risk TB country and aged <40 years) for potential screening for LTBI. Adherence with the LTBI screening guideline improved significantly from 8.9% at baseline to 25.2% during the study phase (183% increase, p < 0.001). CONCLUSIONS: This study demonstrated that computerized, clinical decision support using alerts and guided web-based documentation increased screening of high-risk patients for LTBI. This type of technology could lead to an improvement in LTBI screening in the United States and also holds promise for improved care for other preventive and chronic conditions.

Adult↗

PubMed2003

Denver Health: a model for the integration of a public hospital and community health centers.

Two major pillars of the United States' safety net system are urban public hospitals and community health centers. Their common mission is to care for the uninsured and other vulnerable populations. However, in most communities these important components of the safety net remain organizationally and functionally separate, which inhibits the continuum of care and creates substantial inefficiencies. Denver Health is a long-standing vertically and horizontally integrated system for vulnerable populations. The integration benefits the patient and the system and serves as a model for the U.S. safety net. This paper outlines the benefits of integration to the patient, provider, and health system, using data from the National Association of Public Hospitals and Health Systems, the Bureau of Primary Health Care, and Denver Health.

Colorado↗

PubMed2003

Encoded guidelines for targeted latent tuberculosis screening using an electronic medical record.

To determine the impact of information technology on embedding the latent tuberculosis infection (LTBI) screening guidelines in an electronic medical record (EMR) in a large health care system. The long-term goal of the study is to test clinician adherence to LTBI screening guidelines using an EMR system. However, preliminary results are presented on the potential impact on providers on implementing the alerts on targeted high-risk patients.

Algorithms↗

PubMed2002

Effect of Child Health Insurance Plan enrollment on the utilization of health care services by children using a public safety net system.

OBJECTIVE: To examine differences in health care services utilization between children who are enrolled in the Child Health Insurance Plan (CHIP) and uninsured children and between children before and during their enrollment period in CHIP. METHODS: Denver County CHIP enrollment data from 1998 through 2000 were merged with Denver Health utilization data from 1998 through 2000 to determine utilization rates for CHIP-enrolled children at Denver Health (n = 2005). The first method compared the rates of CHIP-enrolled children with those of uninsured children (n = 20 374) during the same time period. The second method compared the utilization of services for children enrolled in CHIP during 1999 before CHIP enrollment (n = 748) and during CHIP enrollment (n = 757). The outcomes measured include emergency, urgent care, specialty care, well-child care, dental visits, and immunizations. RESULTS: For the first method, CHIP children were more likely to have well-child care, dental, and specialty visits and the recommended immunizations than uninsured children. They were less likely to have an emergency care visit than uninsured children. For the second method, before enrolling in CHIP, children had fewer outpatient visits and were less likely to have a well-child care visit than during their enrollment span in CHIP. There was not a significant difference before and during enrollment for the other outcome measures for these children. CONCLUSIONS: These results indicate that children who are enrolled in CHIP are more likely to receive preventive care services and less likely to use emergency care than uninsured children, even within a safety net institution, emphasizing the benefits of public insurance programs for children.

Child↗