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Biomedical subjects

Gilad J Kuperman

Publications and source records attributed to Gilad J Kuperman.

8 recordsLinked to original sources

Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality.

While evidence-based medicine has increasingly broad-based support in health care, it remains difficult to get physicians to actually practice it. Across most domains in medicine, practice has lagged behind knowledge by at least several years. The authors believe that the key tools for closing this gap will be information systems that provide decision support to users at the time they make decisions, which should result in improved quality of care. Furthermore, providers make many errors, and clinical decision support can be useful for finding and preventing such errors. Over the last eight years the authors have implemented and studied the impact of decision support across a broad array of domains and have found a number of common elements important to success. The goal of this report is to discuss these lessons learned in the interest of informing the efforts of others working to make the practice of evidence-based medicine a reality.

Decision Making, Computer-Assisted↗

Computer physician order entry: benefits, costs, and issues.

Several analyses have detected substantial quality problems throughout the health care system. Information technology has consistently been identified as an important component of any approach for improvement. Computerized physician order entry (CPOE) is a promising technology that allows physicians to enter orders into a computer instead of handwriting them. Because CPOE fundamentally changes the ordering process, it can substantially decrease the overuse, underuse, and misuse of health care services. Studies have documented that CPOE can decrease costs, shorten length of stay, decrease medical errors, and improve compliance with several types of guidelines. The costs of CPOE are substantial both in terms of technology and organizational process analysis and redesign, system implementation, and user training and support. Computerized physician order entry is a relatively new technology, and there is no consensus on the best approaches to many of the challenges it presents. This technology can yield many significant benefits and is an important platform for future changes to the health care system. Organizational leaders must advocate for CPOE as a critical tool in improving health care quality.

Cost-Benefit Analysis↗

A cost-benefit analysis of electronic medical records in primary care.

Electronic medical record systems improve the quality of patient care and decrease medical errors, but their financial effects have not been as well documented. The purpose of this study was to estimate the net financial benefit or cost of implementing electronic medical record systems in primary care. We performed a cost-benefit study to analyze the financial effects of electronic medical record systems in ambulatory primary care settings from the perspective of the health care organization. Data were obtained from studies at our institution and from the published literature. The reference strategy for comparisons was the traditional paper-based medical record. The primary outcome measure was the net financial benefit or cost per primary care physician for a 5-year period. The estimated net benefit from using an electronic medical record for a 5-year period was 86,400 US dollars per provider. Benefits accrue primarily from savings in drug expenditures, improved utilization of radiology tests, better capture of charges, and decreased billing errors. In one-way sensitivity analyses, the model was most sensitive to the proportion of patients whose care was capitated; the net benefit varied from a low of 8400 US dollars to a high of 140,100 US dollars . A five-way sensitivity analysis with the most pessimistic and optimistic assumptions showed results ranging from a 2300 US dollars net cost to a 330,900 US dollars net benefit. Implementation of an electronic medical record system in primary care can result in a positive financial return on investment to the health care organization. The magnitude of the return is sensitive to several key factors.

Computers↗

A consensus statement on considerations for a successful CPOE implementation.

In May of 2001, thirteen experts on computerized provider order entry (CPOE) from around the world gathered at a 2-day conference to develop a consensus statement on successful CPOE implementation. A qualitative research approach was used to generate and validate a list of categories and considerations to guide CPOE implementation.

Decision Support Systems, Clinical↗

A computer-based intervention for improving the appropriateness of antiepileptic drug level monitoring.

We designed and implemented 2 automated, computerized screens for use at the time of antiepileptic drug (AED) test order entry to improve appropriateness by reminding physicians when a potentially redundant test was ordered and providing common indications for monitoring and pharmacokinetics of the specific AED. All computerized orders for inpatient serum AED levels during two 3-month periods were included in the study. During the 3-month period after implementation of the automated intervention, 13% of all AED tests ordered were canceled following computerized reminders. For orders appearing redundant, the cancellation rate was 27%. For nonredundant orders, 4% were canceled when information on specific AED monitoring and pharmacokinetics was provided. The cancellation rate was sustained after 4 years. There has been a 19.5% decrease in total AED testing volume since implementation of this intervention, despite a 19.3% increase in overall chemistry test volume. Inappropriateness owing to repeated testing before pharmacologic steady state was reached decreased from 54% of all AED orders to 14.6%. A simple, automated, activity-based intervention targeting a specific test-ordering behavior effectively reduced inappropriate laboratory testing. The sustained benefit supports the idea that computerized interventions may durably affect physician behavior. Computerized delivery of such evidence-based boundary guidelines can help narrow the gap between evidence and practice.

Algorithms↗

End of visit: design considerations for an ambulatory order entry module.

Current paper-based processes for performing billing documentation and test ordering at the end of a clinic visit are fraught with problems, resulting in numerous workflow inefficiencies and significant revenue losses for a healthcare organization. Paper forms are often filled out inaccurately or incompletely, or can be misrouted or lost. Computerizing these processes can alleviate many of these problems. We are building a new module for our ambulatory electronic medical record system to automate these "end of visit" (EOV) activities, which includes completing encounter forms, ordering lab and diagnostic tests, and printing patient visit summaries. An EOV module must be carefully designed to incorporate the needs of clinicians, front office staff, ancillary labs, medical records, and finance departments. An optimally designed EOV system should be customizable to fit into the clinician's workflow, and should help reduce financial losses, improve clinical documentation, and reduce workflow inefficiencies.

Ambulatory Care Information Systems↗

Real-time notification of laboratory data requested by users through alphanumeric pagers.

The authors developed a novel feature in their clinical information systems, which allows clinicians to request notification about laboratory results. Clinicians who are expecting a particular laboratory result for a particular patient can request a report of the result via an alphanumeric pager as soon as the result is filed into the patient database. This feature has gained popularity and is heavily used in both inpatient and outpatient settings, at a rate of about 2,300 times per month. This event-monitor-based feature illustrates one way that information technology can be applied to improve communication in health care.

Clinical Laboratory Information Systems↗

Automating complex guidelines for chronic disease: lessons learned.

There is scant published experience with implementing complex, multistep computerized practice guidelines for the long-term management of chronic diseases. We have implemented a system for creating, maintaining, and navigating computer-based clinical algorithms integrated with our electronic medical record. This article describes our progress and reports on lessons learned that might guide future work in this field. We discuss issues and obstacles related to choosing and adapting a guideline for electronic implementation, representing and executing the guideline as a computerized algorithm, and integrating it into the clinical workflow of outpatient care. Although obstacles were encountered at each of these steps, the most difficult were related to workflow integration.

Algorithms↗