A Modified Potency Test Strategy for IV Admixtures Prepared by Robotic Systems
Introduction: Robotic systems are increasingly used for compounding sterile IV admixtures (1-5). In addition to routine gravimetric checks, initial and periodic drug potency analysis by high-performance liquid chromatography (HPLC) is desired to verify the system accuracy. However, the conventional HPLC test procedures often result in unexpected failures (1-2). This study was initiated to develop a modified HPLC test strategy to eliminate the common source of variability and focus the effort on the accuracy of robotic system.
Implementation of an i.v.-compounding robot in a hospital-based cancer center pharmacy.
PURPOSE
The implementation of a robotic device for compounding patient-specific chemotherapy doses is described, including a review of data on the robot's performance over a 13-month period.


SUMMARY
The automated system prepares individualized i.v. chemotherapy doses in a variety of infusion bags and syringes; more than 50 drugs are validated for use in the machine. The robot is programmed to recognize the physical parameters of syringes and vials and uses photographic identification, barcode identification, and gravimetric measurements to ensure that the correct ingredients are compounded and the final dose is accurate. The implementation timeline, including site preparation, logistics planning, installation, calibration, staff training, development of a pharmacy information system (PIS) interface, and validation by the state board of pharmacy, was about 10 months. In its first 13 months of operation, the robot was used to prepare 7384 medication doses; 85 doses (1.2%) found to be outside the desired accuracy range (±4%) were manually modified by pharmacy staff. Ongoing system monitoring has identified mechanical and materials-related problems including vial-recognition failures (in many instances, these issues were resolved by the system operator and robotic compounding proceeded successfully), interface issues affecting robot-PIS communication, and human errors such as the loading of an incorrect vial or bag into the machine. Through staff training, information technology improvements, and workflow adjustments, the robot's throughput has been steadily improved.


CONCLUSION
An i.v.-compounding robot was successfully implemented in a cancer center pharmacy. The robot performs compounding tasks safely and accurately and has been integrated into the pharmacy's workflow.
White Paper: Reducing the Frequency of Errors in Medicine Using Information Technology
BACKGROUND
Increasing data suggest that error in medicine is frequent and results in substantial harm. The recent Institute of Medicine report (LT Kohn, JM Corrigan, MS Donaldson, eds: To Err Is Human: Building a Safer Health System. Washington, DC: National Academy Press, 1999) described the magnitude of the problem, and the public interest in this issue, which was already large, has grown.


GOAL
The goal of this white paper is to describe how the frequency and consequences of errors in medical care can be reduced (although in some instances they are potentiated) by the use of information technology in the provision of care, and to make general and specific recommendations regarding error reduction through the use of information technology.


RESULTS
General recommendations are to implement clinical decision support judiciously; to consider consequent actions when designing systems; to test existing systems to ensure they actually catch errors that injure patients; to promote adoption of standards for data and systems; to develop systems that communicate with each other; to use systems in new ways; to measure and prevent adverse consequences; to make existing quality structures meaningful; and to improve regulation and remove disincentives for vendors to provide clinical decision support. Specific recommendations are to implement provider order entry systems, especially computerized prescribing; to implement bar-coding for medications, blood, devices, and patients; and to utilize modern electronic systems to communicate key pieces of asynchronous data such as markedly abnormal laboratory values.


CONCLUSIONS
Appropriate increases in the use of information technology in health care- especially the introduction of clinical decision support and better linkages in and among systems, resulting in process simplification-could result in substantial improvement in patient safety.