Clinical Data Reconciliation as Part of a Report Generation Solution

a technology for generating reports and clinical data, applied in the field of clinical data reconciliation as part of a report generation solution, can solve the problems of many barriers to updating emrs, tedious process, time-consuming and error-prone,

Inactive Publication Date: 2011-11-17
MMODAL IP LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This process can be tedious, time-consuming, and error prone.
More problematic is the process of keeping EMRs up to date as the information associated with the corresponding patient changes.
There are, however, many barriers to updating EMRs.
This is a tedious, time-consuming, and error-prone way of updating the

Method used

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  • Clinical Data Reconciliation as Part of a Report Generation Solution
  • Clinical Data Reconciliation as Part of a Report Generation Solution
  • Clinical Data Reconciliation as Part of a Report Generation Solution

Examples

Experimental program
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Embodiment Construction

Embodiments of the present invention are directed to techniques for updating electronic medical records (EMRs) quickly, accurately, and with minimal human effort. For example, FIG. 1 shows a dataflow diagram of a system 100 for automatically updating an EMR based on the content of a transcript according to one embodiment of the present invention. FIG. 2 shows a flowchart of a method performed by the system 100 of FIG. 1 according to one embodiment of the present invention.

In the system 100 of FIG. 1, an EMR database 102 contains a plurality of EMRS 104a-c, each of which may correspond to a distinct patient. For ease of illustration, only the contents of EMR 104a are shown in FIG. 1. However, EMRs 104b and 104c may contain data having the same or similar format as that shown for EMR 104a.

More specifically, EMR 106 contains both discrete data elements 106 and text 114. The discrete data elements 106 may include, for example, a problem list 108, a medications list 110, and a current m...

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Abstract

An automated system updates electronic medical records (EMRs) based on dictated reports, without requiring manual data entry into on-screen forms. A dictated report is transcribed by an automatic speech recognizer, and facts are extracted from the report and stored in encoded form. Information from a patient's report is also stored in encoded form. The resulting encoded information from the report and EMR are reconciled with each other, and changes to be made to the EMR are identified based on the reconciliation. The identified changes are made to the EMR automatically, without requiring manual data entry into the EMR.

Description

BACKGROUNDAn Electronic Medical Record (EMR) is a database record or other data structure that is used by hospitals and other health care facilities to store current information about patients. Ideally, all information about the patient is stored within the patient's EMR, thereby eliminating the need for traditional paper files.Within an EMR system used by a particular health care facility, each patient has his or her own EMR for storing both current and historical information about the patient. Some of the data stored within a particular EMR may be divided into discrete fields, such as a “First Name” field, a “Last Name” field, a “Date of Birth” field, “Medications,”“Allergens,” and so on. To store information in an EMR, the EMR system typically displays an on-screen form in which the name of each field is displayed adjacent to a blank space. A healthcare worker types the appropriate information into the blank space associated with each field. Although other user interface elements...

Claims

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Application Information

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IPC IPC(8): G06Q50/00G10L15/26G16H10/60G16H15/00
CPCG06F19/322G06F19/3487G06Q50/24G06Q50/22G06Q10/10G16H10/60G16H15/00
Inventor KOLL, DETLEF
Owner MMODAL IP LLC
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