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Clinical decision-making relies heavily on making a correct diagnosis. Clinicians have a responsibility to understand the full spectrum of the diagnostic information conveyed by a physical exam finding, laboratory test result, or imaging. Many laboratory tests, such as troponin and B-type natriuretic peptide (BNP), are continuous tests with many possible results. Yet, there is a tendency to dichotomize tests into positive and negative, and use sensitivity and specificity to describe the test characteristics. This approach can lead to waste of important diagnostic information and substandard clinical decision-making. The aim of this paper is to demonstrate the role of ROC curves in developing a more comprehensive understanding of diagnostic information portrayed by continuous tests to augment clinical decision-making. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11606-019-05125-0) contains supplementary material, which is available to authorized users.

Background Many medical errors occur during the laboratory testing process, including lost test results. Patient inquiry concerning results often represents the final safety net for locating lost results. This qualitative study sought to identify, from a patient perspective, specific preferences and factors that influence the process of communicating normal (negative) laboratory test results to patients. Methods We conducted 30-minute guided interviews with 20 adult patients. Patients were recruited from two practice-based research networks in Colorado that were participating in a medical errors study. A semi-structured interview elicited the participant's experience with and preference for laboratory test result notification. Quantitative descriptive statistics were generated for demographic and preference data. Qualitative results were analyzed by a team of experienced qualitative researchers using multiple styles of qualitative analyses, including a template approach and an editing approach. Results Ninety percent of participants wanted to be notified of all tests results. Important issues related to notification included privacy, responsive and interactive feedback, convenience, timeliness, and provision of details. Telephone notification was preferred, followed by regular mail. Electronic notification was perceived as uncomfortable because it was not secure. While 65% preferred being notified by a provider, participants acknowledge that this may be impractical; thus, they wanted to be notified by someone knowledgeable enough to answer questions. Participants do not normally discuss their preferences for test result notification with their providers. Conclusion Privacy, responsive and interactive feedback, convenience, and timeliness with detailed information may be critical for patient satisfaction and for improving patient safety, and are features that may be incorporated into emerging communication channels.

The function of the clinical pharmacokinetic service (CPS) in University Hospital is described. A methodological procedure was developed for routine interpretation of specified drug serum levels. Work lists that identify analytical procedures to be included for clinical pharmacokinetic evaluation are prepared daily. The results of all analyses of serum drug levels are evaluated by a pharmacist who is trained in clinical pharmacokinetics. Patient variables that influence serum levels of drugs are mathematically manipulated by program logic. Projections of expected drug levels as a result of dosing regimens are made and compared to measured laboratory results. Iterative programming that modifies projections on the basis of actual measurements is employed to determine individual drug dosing regimens that provide therapeutic/nontoxic serum levels of drugs. The drug/test interference system, which accesses the CPS data base, provides information concerning the potential physiologic, therapeutic, or toxic effect of drugs on biochemical substances. The system allows display of data concerning each drug before it is administered. Information concerning the date and time of initiation and termination of drug therapy allows for a warning comment to be attached automatically to the appropriate laboratory test result if interference is indicated.

Perkal's discriminating function may be used for differential diagnosis by taking many clinical characteristics, i.e. medical history, physical examination and laboratory test results. In this paper, Perkal's function is applied to the differential diagnosis of two types of diabtes. This original mathematical method may be used for the differential diagnosis of many other morbid conditions by processing a large amount of clinical data with a digital computer.