Abstract: A decision support device is used for both computation of a predictive instrument using at least some of the measurements to produce an output for presentation to a clinician, and computation of an enrollment recommendation for enrollment of the subject into at least one clinical trial for presentation to the clinician.

Abstract: A computer-implemented clinical quality review method involving: for each of a plurality of medical problem types, storing a corresponding set of review criteria; receiving a plurality of electronic patient care records (ePCRs) from a medical service provider (MSP), each ePCR identifying a patient treated by the MSP and information about the medical care provided to that patient by the MSP, including: clinical problem type, clinical impressions, symptoms, and details about the evaluation of and treatment provided to that patient by the MSP; and for each ePCR: (i) determining whether the medical care meets the set of review criteria associated with the medical problem type identified in that ePCR; (ii) if the medical care passes the set of review criteria, approving the medical care provided to that patient and forwarding information about the medical care provided to that patient to a reporting system; and (iii) if the medical care does not pass the set of review criteria, generating a notification indicating

Abstract: A method of printing a plurality of documents includes generating a page file for each page of each document, generating a control file for each page file, and operating a number of printers to generate printed pages based on the page files. The method includes scanning the printed pages to generate a scan file for each page, and identifying the corresponding control file to permit the printed pages to be segregated into properly sequenced separate documents.

Abstract: An apparatus for monitoring the medical condition of a patient, including a monitoring device which during use monitors one or more clinical features of the patient; a predictive instrument arranged to receive output from the monitoring device and programmed to compute a probability of a medical outcome or diagnosis based on the monitored one or more clinical features, the predictive instrument further programmed to compute that probability by executing an algorithm which models the medical outcome or diagnosis; and an interface through which a user enters information characterizing the patient, wherein the predictive instrument is further programmed to request that algorithm from a remote location.

Abstract: An apparatus for monitoring the medical condition of a patient, including a monitoring device which during use monitors one or more clinical features of the patient; a predictive instrument arranged to receive output from the monitoring device and programmed to compute a probability of a medical outcome or diagnosis based on the monitored one or more clinical features, the predictive instrument further programmed to compute that probability by executing an algorithm which models the medical outcome or diagnosis; and an interface through which a user enters information characterizing the patient, wherein the predictive instrument is further programmed to request that algorithm from a remote location.

Abstract: A method and system for providing the improved automated diagnosis of heart function on the basis of electrocardiographic data in a much less computationally intensive manner than has been done previously. The objectives of the method and system are accomplished by the following steps. First, waveform templates known to be indicative of heart conditions of interest are collected. Second, a data compression algorithm is used to extract from the collected waveforms only that data essential to making an accurate diagnosis of the conditions with which the templates are associated; the resulting data is used to construct waveforms referred to as reduced-data electrocardiographic waveform templates. Third, the reduced-data electrocardiographic waveform templates are then correlated with the patient's electrocardiographic waveforms and on the basis of the results of the correlation a diagnosis is rendered.

Abstract: A method and system for determining Acute Myocardial Infarction. The method and system work by determining whether or not at least one pre-specified component wave is present within each successive heartbeat waveform (e.g. the S wave component of the QRSTU waveform) appearing within each electrocardiographic lead. After it has been determined whether or not the pre-specified component wave is present within the heartbeat waveforms under consideration (each lead will generally have some representation of each successive heartbeat waveform present within it), a wave amplitude ratio (e.g. the ST complex amplitude divided by the S wave component amplitude at some specified instant in time) is calculated. Thus, for each successive heartbeat waveform there will generally be at least one wave amplitude ratio calculated for each electrocardiographic lead, since the same heartbeat waveform generally appears, in some form, within each electrocardiographic lead.

Abstract: An ECG waveform calibration method combines ECG channel calibration pulses to form combined calibration pulses. The combined channel pulses are filtered to select valid combined pulses. The selected combined pulses are correlated to the corresponding channel calibration pulses to determine valid channel calibration pulses from which a correction scale factor is derived. A valid calibration pulse is determined where a correlation between a combined calibration pulse and a corresponding channel calibration pulse is greater than a predetermined correlation value. The valid channel calibration pulses are then characterized. A set of valid channel calibration pulses is selected for each channel based on the characterization to form an average calibration pulse. The average calibration pulse is used to determine a correction scale factor for each channel which is used to scale the actual channel ECG waveform data. The method also includes a step for adjusting the intra-channel skew.

Abstract: An ECG waveform calibration method combines ECG channel calibration pulses to form combined calibration pulses. The combined channel pulses are filtered to select valid combined pulses. The selected combined pulses are correlated to the corresponding channel calibration pulses to determine valid channel calibration pulses from which a correction scale factor is derived. A valid calibration pulse is determined where a correlation between a combined calibration pulse and a corresponding channel calibration pulse is greater than a predetermined correlation value. The valid channel calibration pulses are then characterized. A set of valid channel calibration pulses is selected for each channel based on the characterization to form an average calibration pulse. The average calibration pulse is used to determine a correction scale factor for each channel which is used to scale the actual channel ECG waveform data. The method also includes a step for adjusting the intra-channel skew.