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Biomedical subjects

R M Gardner

Publications and source records attributed to R M Gardner.

At least 217 records · Page 12Linked to original sources
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Performance of computerized protocols for the management of arterial oxygenation in an intensive care unit.

Computerized protocols were created to direct the management of arterial oxygenation in critically ill ICU patients and have now been applied routinely, 24 hours a day, in the care of 80 such patients. The protocols used routine clinical information to generate specific instructions for therapy. We evaluated 21,347 instructions by measuring how many were correct and how often they were followed by the clinical staff. Instructions were followed 63.9% of the time in the first 8 patients and 92.3% in the subsequent 72 patients. Instruction accuracy improved after the initial 8 patients, increasing from 71.5% of total instructions to 92.8%. Instruction inaccuracy was primarily caused by software errors and inaccurate and untimely entry of clinical data into the computer. Software errors decreased from 7.2% in the first 8 patients to 0.8% in subsequent patients, while data entry problems decreased from 7.5% to 4.2%. We also assessed compliance with the protocols in a subset of 12 patients (2637 instructions) as a function of 1) the mode of ventilatory support, 2) whether the instruction was to increase or decrease the intensity of therapy or to wait for an interval of time and 3) whether the instruction was 'correct' or 'incorrect'. The mode of ventilatory support did not affect compliance with protocol instructions. Instructions to wait were more likely to be followed than instructions to change therapy. Ninety-seven percent of the correct instructions were followed and 27% of the incorrect instructions were followed.(ABSTRACT TRUNCATED AT 250 WORDS)

Blood Gas Analysis↗
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Computerized management of patient care in a complex, controlled clinical trial in the intensive care unit.

Acute respiratory distress syndrome (ARDS) is often not responsive to conventional supportive therapy and the mortality rate may exceed 90%. A new form of supportive care, extracorporeal carbon dioxide removal (ECCO2R), has shown a dramatic increase in survival (48%). A controlled clinical trial of the new ECCO2R therapy versus conventional continuous positive pressure ventilation (CPPV) is being initiated. Detailed care protocols have been developed by 'expert' critical care physicians for the management of patients. Using a blackboard control architecture, the protocols have been implemented on an existing hospital information system and will direct patient care and help manage the controlled clinical trial. Therapeutic instructions are automatically generated by the computer from data input by physicians, nurses, respiratory therapists, and the laboratory. Preliminary results show that the computerized protocol system can direct therapy for acutely ill patients.

Blood Gas Analysis↗
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Challenges and opportunities for computerizing the anesthesia record.

Most observers would agree that the goal of computerizing the anesthesia record is a worthy one. Despite the fact that several academic groups and vendors have attempted to develop and provide computerized anesthesia charting, the practice is not widespread. In this review article, we attempt to outline the reasons for this reluctance to use computers for anesthesia charting. Where there are problems to be solved, there also are opportunities. We discuss the development of strategies to solve these problems and thus present opportunities for medical informatics professionals and anesthesiologists to work toward joint solutions. Solving these problems includes the development of consensus standards and working out technical, social, and educational difficulties. Details of the approaches recommended are outlined.

Anesthesia↗
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Improving blood transfusion practice: role of a computerized hospital information system.

The recent focus on medical risk and financial cost has prompted a need for better guidelines for prescribing the transfusion of blood components. In 1987, to respond to the issues of quality transfusion practice and accurate evaluation, LDS Hospital (Salt Lake City, UT) began using a computerized, knowledge-based blood-ordering system. Each transfusion request was reviewed and flagged by the computer when it did not meet the criteria established by the medical staff. The study reviewed the use of red cells, platelets, and fresh-frozen plasma in 13,082 transfusion orders for 5847 consecutive patients from July 1, 1988, through June 30, 1989. The evaluation assessed, first, the adherence of physicians to computerized criteria and, second, their adherence to the quality of transfusion practice. A high percentage of the blood units ordered met the established criteria: 91.2 percent for the red cell transfusions, 72.9 percent for platelets, and 81.7 percent for fresh-frozen plasma. From the July 1, 1987, implementation date through June 1989, the mean hematocrit of persons being transfused dropped from 28.6 to 27.7 percent (0.29 = 0.28) (p less than 0.005) and the number of orders requiring review by the quality assurance department dropped from 100 to 14 percent; moreover, there was a true-exception rate of only 0.37 percent. The use of the computer system effected the implementation of the following measures: 1) identification of the indications and establishment of clear clinical and biologic parameters for every transfusion, and 2) measurement and improvement of institutional transfusion practice. These results demonstrated the efficacy of a computerized hospital information system in implementing continuous quality improvement for transfusion practice.(ABSTRACT TRUNCATED AT 250 WORDS)

Blood Transfusion↗
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Evaluation of user acceptance of a clinical expert system.

OBJECTIVE: To measure the attitudes of physicians and nurses who use the Health Evaluation through Logical Processing (HELP) clinical information system. DESIGN: Questionnaire survey of 360 attending physicians and 960 staff nurses practicing at the LDS Hospital. The physicians' responses were signed, permitting follow-up for nonresponse and use of demographic data from staff files. The nurses' responses were anonymous and their demographic data were obtained from the questionnaires. MEASUREMENTS: Fixed-choice questions with a Likert-type scale, supplemented by free-text comments. Question categories included: computer experience; general attitudes about impact of the system on practice; ranking of available functions; and desired future capabilities. RESULTS: The response rate was 68% for the physicians and 39% for the nurses. Age, specialty, and general computer experience did not correlate with attitudes. Access to patient data and clinical alerts were rated highly. Respondents did not feel that expert computer systems would lead to external monitoring, or that these systems might compromise patient privacy. The physicians and nurses did not feel that computerized decision support decreased their decision-making power. CONCLUSION: The responses to the questionnaire and "free-text comments" provided encouragement for future development and deployment of medical expert systems at LDS Hospital and sister hospitals. Although there has been some fear on the part of medical expert system developers that physicians would not adapt to or appreciate recommendations given by these systems, the results presented here are promising and may be of help to other system developers and evaluators.

Adult↗
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Computerized decision support for concurrent utilization review using the HELP system.

OBJECTIVE: Development and evaluation of computerized concurrent utilization review (UR) support taking advantage of a clinically rich computerized patient database. DESIGN: The Automated Support System for Utilization Review (ASSURE) applies the Appropriateness Evaluation Protocol (AEP) Day of Care criteria to computerized patient data in the HELP hospital information system. This paper reports the development, verification, and validation of ASSURE. MEASUREMENTS: Implementation correctness was verified by measuring agreement with a nurse reviewer, using separate sample sets for all 20 criteria for a total of 560 current inpatients. Usefulness in detecting inappropriate days of care was validated by two nurse reviewers who were crossed with manual and computer-assisted review methods in a blocked design for 168 current inpatients. Agreement with reviewers, sensitivity, specificity, positive predictive value, and negative predictive value were measured. RESULTS: Agreement was very good for satisfaction of criteria, and good for appropriateness of day of care. A patient day identified by ASSURE as potentially inappropriate would be twice as likely to be judged inappropriate by a reviewer as a randomly selected patient day. Review of the 10% of patient days identified as potentially inappropriate by ASSURE would identify approximately 21% of the inappropriate days of care. CONCLUSION: ASSURE is a clinically useful tool for screening adult acute care patients for inappropriate days of care, and promises to make a major contribution to reducing health care costs. The prognosis for successful routine clinical use is good.

Artificial Intelligence↗
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Recommendations for responsible monitoring and regulation of clinical software systems. American Medical Informatics Association, Computer-based Patient Record Institute, Medical Library Association, Association of Academic Health Science Libraries, American Health Information Management Association, American Nurses Association.

In mid-1996, the FDA called for discussions on regulation of clinical software programs as medical devices. In response, a consortium of organizations dedicated to improving health care through information technology has developed recommendations for the responsible regulation and monitoring of clinical software systems by users, vendors, and regulatory agencies. Organizations assisting in development of recommendations, or endorsing the consortium position include the American Medical Informatics Association, the Computer-based Patient Record Institute, the Medical Library Association, the Association of Academic Health Sciences Libraries, the American Health Information Management Association, the American Nurses Association, the Center for Healthcare Information Management, and the American College of Physicians. The consortium proposes four categories of clinical system risks and four classes of measured monitoring and regulatory actions that can be applied strategically based on the level of risk in a given setting. The consortium recommends local oversight of clinical software systems, and adoption by healthcare information system developers of a code of good business practices. Budgetary and other constraints limit the type and number of systems that the FDA can regulate effectively. FDA regulation should exempt most clinical software systems and focus on those systems posing highest clinical risk, with limited opportunities for competent human intervention.

Clinical Medicine↗
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Medical informatics education: the University of Utah experience.

The University of Utah has been educating health professionals in medical informatics since 1964. Over the 35 years since the program's inception, 272 graduate students have studied in the department. Most students have been male (80 percent) and have come from the United States (75 percent). Students entering the program have had diverse educational backgrounds, most commonly in medicine, engineering, computer science, or biology (59 percent of all informatics students). A total of 209 graduate degrees have been awarded, with an overall graduation rate of 87 percent since the program's start. Alumni are located in the United States (91 percent) and abroad (9 percent); half (51 percent) have remained in Utah. Former students are employed in a wide variety of jobs, primarily concerned with the application of medical informatics in sizable health care delivery organizations. Trends toward increasing managerial responsibility for medical informatics graduates and the emergence of the chief information officer role are noted.

Education, Professional↗
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Clinicians' response to computerized detection of infections.

OBJECTIVE: To analyze whether computer-generated reminders about infections could influence clinicians' practice patterns and consequently improve the detection and management of nosocomial infections. DESIGN: The conclusions produced by an expert system developed to detect and manage infections were presented to the attending clinicians in a pediatric hospital to determine whether this information could improve detection and management. Clinician interventions were compared before and after the implementation of the system. MEASUREMENTS: The responses of the clinicians (staff physicians, physician assistants, and nurse practitioners) to the reminders were determined by review of paper medical charts. Main outcome measures were the number of suggestions to treat and manage infections that were followed before and after the implementation of COMPISS (Computerized Pediatric Infection Surveillance System). The clinicians' opinions about the system were assessed by means of a paper questionnaire distributed following the experiment. RESULTS: The results failed to show a statistical difference between the clinicians' treatment strategies before and after implementation of the system (P: > 0.33 for clinicians working in the emergency room and P: > 0.45 for clinicians working in the pediatric intensive care unit). The questionnaire results showed that the respondents appreciated the information presented by the system. CONCLUSION: The computer-generated reminders about infections were unable to influence the practice patterns of clinicians. The methodologic problems that may have contributed to this negative result are discussed.

Cross Infection↗
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Computer-assisted medical direction of respiratory care.

As medical technology and the increased demand for respiratory care make concurrent monitoring of all respiratory care services more difficult, computers are coming to the aid of medical directors and quality assurance committees. The respiratory care staff at LDS Hospital, Salt Lake City, has used computers to enhance patient care and quality assurance.

Hospital Bed Capacity, 500 and over↗
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Predicting discharge diagnoses using a computerized preadmission screening tool.

The authors integrated into an existing hospital information system a preadmission screening system, intended to reduce payment denials and reimbursement shortfalls that result from improperly classifying the billing status of patients. They report the results of efforts to validate the expert system upon which the preadmission screening system is based.

Diagnosis-Related Groups↗