Automated clinical data collection for national quality measurement reporting.

Collecting data for the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) ORYX Core Measurement Reporting can be automated using an object-oriented, client-developed program that extracts data from a clinical data repository and utilizes an MHA vendor upload process. The process eliminated 39% of the manual data collection efforts.

Physicians' knowledge and attitudes about coronary heart disease secondary prevention.

We administered a knowledge and attitudes questionnaire regarding a technology assisted pharmacist mediated academic detailing intervention designed to improve physician adherence to coronary heart disease (CHD) secondary-prevention guidelines. Questionnaires were administered in two settings: an academic hospital and a community hospital. More knowledgeable physicians reported being more likely to prescribe a pharmacists' recommended medication and to agree that lipid profiles should be automatically performed for inpatients with elevated troponin.

Migrating toward a next-generation clinical decision support application: the BJC HealthCare experience.

The next-generation model outlined in the AMIA Roadmap for National Action on Clinical Decision Support (CDS) is aimed to optimize the effectiveness of CDS interventions, and to achieve widespread adoption. BJC HealthCare re-engineered its existing CDS system in alignment with the AMIA roadmap and plans to use it for guidance on further enhancements. We present our experience and discuss an incremental approach to migrate towards the next generation of CDS applications from the viewpoint of a healthcare institution.

Identification of patients with coronary heart disease: meeting regulatory standards vs. improving overall care.

Acute myocardial infarction (AMI) patients can be identified prospectively by troponin-I (TnI) result monitoring and retrospectively by ICD-9 diagnosis coding. Prospective identification is needed for interventions, while retrospective identification is required for regulatory reporting. Prospective approaches can identify patients with a reasonable degree of accuracy, but they cannot always predict ICD-9 coding for that condition.

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

A commercial rule base (Cerner Multum) was used to identify medication orders exceeding recommended dosage limits at five hospitals within BJC HealthCare, an integrated health care system. During initial testing, clinical pharmacists determined that there was an excessive number of nuisance and clinically insignificant alerts, with an overall alert rate of 9.2%.

Patient satisfaction measurement strategies: a comparison of phone and mail methods.

Background: In 1998 the BJC Health System (St Louis) made the decision to migrate its patient satisfaction measurement system from a mail-out/mail-back method to a phone interview method. Out of concern that results obtained by phone would not be comparable with the 4 years of mail-based data, a controlled study was undertaken to directly compare mail and phone responses and to evaluate response rates, patient sample demographics, and patient satisfaction ratings.

Methods: Mail and phone responses obtained from parallel random samples selected from inpatient, outpatient test/treatment, outpatient surgery, and emergency service patient populations were compared.

Using root cause analysis to address patient satisfaction and other improvement opportunities.

Background: Despite the considerable attention that health care organizations are devoting to the measurement of patient satisfaction, there is often confusion about how to systematically use these data to improve an organization's performance. A model to use in applying traditional quality improvement methods and tools to patient satisfaction problems includes five primary steps: (1) identifying opportunities, (2) prioritizing opportunities, (3) conducting root cause analysis, (4) designing and testing potential solutions, and (5) implementing the proposed solution.

Patient Satisfaction Surveys: A satisfaction survey serves best as a high-level screening device, not as a tool to provide highly detailed information about the root causes of patient dissatisfaction.