[Development of Secondary Order System for Laboratory Tests without Additional Blood Sampling.]

Delays in secondary laboratory tests for inpatients often extend hospital stays and slow treatment. Existing systems require extra blood draws, adding time and discomfort. Prior research has shown that repeated sampling increases patient burden and costs. No prior work had resolved the issue of rapid follow-up testing using existing samples. This gap motivated the need for a system that avoids additional sampling. Clinicians require timely access to test results to guide care decisions. Patients benefit from reduced sampling and faster diagnostics. The challenge lies in streamlining test requests without compromising sample integrity.

The goal was to develop a secondary order system for laboratory tests using existing samples. This system aims to eliminate delays caused by additional blood draws. The specific problem is the time lag between initial and follow-up tests. Doctors often need immediate results to adjust treatment plans. The motivation is to improve patient outcomes and hospital efficiency. Reducing repeated sampling also enhances patient satisfaction. The system must integrate with existing lab workflows. The study focuses on how to automate test requests using stored samples.

A database system was built using Oracle 8.0 and Powerbuilder for client tools. SST tubes and EDTA samples from morning tests were used for reflexive testing. Clinicians accessed routine test results through a new registration program. Bar code printing allowed tracking of samples for additional tests. The system enabled doctors to order tests without new blood draws. Samples were retrieved, labeled, and processed as usual. Data from February 2004 to December 2005 were analyzed. Monthly test counts were tracked to assess usage trends.

In February 2004, 75 tests were requested for 50 patients. By December 2004, this rose to 1,020 tests for 698 patients. In 2005, the average monthly tests were 1,035 for 742 patients. The system reduced delays in reporting test results. Patient length of stay decreased due to faster diagnostics. Repeated blood sampling was reduced, improving satisfaction. The hospital saw cost savings from fewer blood draws. The system showed consistent growth in usage over time. No adverse effects on sample quality were reported.

The system enabled rapid reporting of test results using existing samples. It reduced delays in diagnostic procedures for inpatients. Patient satisfaction improved due to fewer blood draws. The hospital experienced cost benefits from reduced sampling. The system demonstrated steady adoption over time. It supports efficient use of laboratory resources. The approach aligns with hospital goals for faster care. The authors suggest this model could be replicated in other settings.