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Biomedical subjects

Jyoti Kamal

Publications and source records attributed to Jyoti Kamal.

3 recordsLinked to original sources

Using an information warehouse to screen patients for clinical trials: a prototype.

Success of a clinical trial recruitment process for drug discovery and new treatments depends on screening and identifying eligible patients in a timely manner. This can be a complex and tedious process that in many instances requires a research nurse to manually track patients that may be eligible. At the Ohio State University Medical Center (OSUMC) we have developed a web-based functional prototype that uses the data stored in the Information Warehouse (IW) to screen patients that meet the eligibility criteria for clinical trials. Using this prototype, a researcher can apply a set of inclusion/exclusion criteria pertinent to a research protocol and instantly find patients that may qualify for the clinical trial without revealing their identity. A researcher has access to all detailed historical clinical information such as lab results, diagnosis codes, pathology reports and clinical notes.

Clinical Protocols↗

Information warehouse as a tool to analyze Computerized Physician Order Entry order set utilization: opportunities for improvement.

A Computerized Physician order entry (CPOE) system was successfully implemented at the Ohio State University Medical Center (OSUMC) in February 2000. The electronic entry and use of order sets is designed to standardize patient care and improve efficiency and patient safety. To evaluate the effectiveness of the CPOE system and to maximize its benefits, one needs to easily access and analyze the data. Since the CPOE system is not equipped to support such on demand analysis, the data from the system is extracted daily into the OSUMC's Information Warehouse (IW). This allows the CPOE data to be linked with other clinical and financial patient information in the IW to provide detailed and comprehensive analysis. Our focus in this paper is the use of the IW as a tool to analyze order set usage patterns and the opportunities such analysis provides for improvements in education, resource utilization and patient care.

Academic Medical Centers↗

Impact of CPOE order sets on lab orders.

Introduction of the computerized physician order (CPOE) is intended to promote best practices, decrease practice variation among practitioners, and optimize the utilization of resources consistent with evidence based practice guidelines. Implicit in the use of CPOE is the assumption that the use of order sets might decrease utilization of resources such as the ordering of unnecessary laboratory tests. Conversely compliance with practice guidelines may necessitate ordering of certain tests that are deemed to be consistent with the good practice of medicine. In order to develop an understanding of these issues, we compared the utilization of laboratory orders prior to and following implementation of order sets in CPOE. In addition, we analyzed the impact of CPOE on the timely placement of certain orders based on critical levels of some laboratory results, in this instance potassium.

Academic Medical Centers↗