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Biomedical subjects

A T Kinder

Publications and source records attributed to A T Kinder.

3 recordsLinked to original sources

Testing and validation of computerized decision support systems.

Systematic, through testing of decision support systems (DSSs) prior to release to general users is a critical aspect of high quality software design. Omission of this step may lead to the dangerous, and potentially fatal, condition of relying on a system with outputs of uncertain quality. Thorough testing requires a great deal of effort and is a difficult job because tools necessary to facilitate testing are not well developed. Testing is a job ill-suited to humans because it requires tireless attention to a large number of details. For these reasons, the majority of DSSs available are probably not well tested prior to release. We have successfully implemented a software design and testing plan which has helped us meet our goal of continuously improving the quality of our DSS software prior to release. While requiring large amounts of effort, we feel that the process of documenting and standardizing our testing methods are important steps toward meeting recognized national and international quality standards. Our testing methodology includes both functional and structural testing and requires input from all levels of development. Our system does not focus solely on meeting design requirements but also addresses the robustness of the system and the completeness of testing.

Artificial Intelligence

Cost effective computerized decision support: tracking caregiver acceptance at the point of care.

We implemented a computerized decision support tool to standardize the administration of supplemental oxygen (O2) therapy in the acute care (non-ICU) hospital setting. Caregiver acceptance of the computerizeds oxygen therapy protocol (COTP) instructions was measured to determine the clinical performance of the computerized decision support tool. 49.6% of instructions generated were followed by the clinical caregiver, and 16.8% of instructions generated were explicitly acknowledged by the user through the COTP computer interface. Despite this low caregiver response rate, significant favorable changes in the administration of oxygen were observed. This paper is focused on the issues of general importance the caregiver response rate raises for the implementation and clinical use of computerized decision support tools, including: (1) limitations of the user interface and (2) inherent difficulty in changing long-standing practice patterns.

Attitude to Computers

Clinical performance of a rule-based decision support system for mechanical ventilation of ARDS patients.

We developed a clinical decision support system--ventilation protocols--that managed tidal volume and ventilator rate settings during mechanical ventilation of patients with the Adult Respiratory Distress Syndrome (ARDS). We applied these protocols for a total of 10,903 hours in 40 ARDS patients. The clinical staff suspended the protocols for only 5% of the total application time due to medical procedures, surgeries, transient clinical problems not addressed by the protocols, or because of attending physician request. Of 3,148 instructions generated by the ventilation protocols, the clinical staff followed 2,932 (93%). The staff did not follow some instructions because of patient data errors, computer software and protocol logic errors, inability of the clinical staff to implement protocol instructions because of more pressing duties, and clinical staff objections to specific instructions. Sixty percent of the patients treated by the ventilation protocols survived. Our results demonstrate that the ventilation protocols provided a practical and safe decision support system for the mechanical ventilation of ARDS patients.

Clinical Protocols