Abstract: Apparatus and a method for associating an electronic patient record with the corresponding patient are described. A data processor accesses a patient record not associated with a unique person and compares the patient identification data to corresponding data in a known patient record to identify a set of likely matching patients. An input is provided for selecting a matching patient. Also disclosed is apparatus for providing customized patient discharge instructions relating information in the electronic patient record to patient-specific discharge instructions. A data processor inserts the patient specific instructions into draft instructions, thereby producing patient-specific discharge instructions. An updated version of charting by exception is disclosed, using macros to positively record data on a medical record that is not specifically marked on a template by the attending medical professional.

Abstract: Apparatus and a method for associating an electronic patient record with the corresponding patient are described. A data processor accesses a patient record not associated with a unique person and compares the patient identification data to corresponding data in a known patient record to identify a set of likely matching patients. An input is provided for selecting a matching patient. Also disclosed is apparatus for providing customized patient discharge instructions relating information in the electronic patient record to patient-specific discharge instructions. A data processor inserts the patient specific instructions into draft instructions, thereby producing patient-specific discharge instructions. An updated version of charting by exception is disclosed, using macros to positively record data on a medical record that is not specifically marked on a template by the attending medical professional.

Abstract: A method is disclosed for providing early detection, classification, and reporting of health-related events in a population. The method includes capturing sets of specific emergency room patient information from a subset of the population as the patient information is first electronically entered into, for example, an electronic medical record (EMR). The patient information is pre-processed, transmitted to and stored in a central database in a central computer facility. The patient information is sorted and analyzed by the central computer facility to detect any health-related events in the population and to generate corresponding alerts. The alerts are electronically reported to designated authorities such as health officials and other government authorities such as the CDC.

Abstract: A method is disclosed for providing early detection, classification, and reporting of health-related events in a population. The method includes capturing sets of specific emergency room patient information from a subset of the population as the patient information is first electronically entered into, for example, an electronic medical record (EMR). The patient information is pre-processed, transmitted to and stored in a central database in a central computer facility. The patient information is sorted and analyzed by the central computer facility to detect any health-related events in the population and to generate corresponding alerts. The alerts are electronically reported to designated authorities such as health officials and other government authorities such as the CDC.