System and method for providing voice feedback for automated remote patient care

Abstract

A system for providing feedback to an individual patient for automated remote patient care is presented. A medical device having a sensor for monitoring physiological measures of an individual patient regularly records a set of measures. A remote client processes voice feedback into a set of quality of life measures relating to patient self-assessment indicators. A database collects the collected measures set, the identified collected device measures set and the quality of life measures set into a patient care record for the individual patient. A server periodically receives the identified collected device measures set and the quality of life measures set from the medical device, and analyzes the identified collected device measures set, the quality of life measures set, and the collected device measures sets in the patient care record relative to other collected device measures sets stored in the database to determine a patient status indicator.

Description

CROSS-REFERENCE TO RELATED APPLICATION [0001] This patent application is a continuation of U.S. patent application, Ser. No. 10 / 646,083, filed Aug. 22, 2003, pending, which is a continuation of U.S. patent application, Ser. No. 09 / 861,373, filed May 18, 2001, pending, which is a continuation of U.S. Pat. No. 6,261,230, issued Jul. 17, 2001, which is a continuation-in-part of U.S. Pat. No. 6,203,495, issued Mar. 20, 2001, which is a continuation-in-part of U.S. Pat. No. 6,312,378, issued Nov. 6, 2001, the disclosures of which are incorporated by reference, and the priority filing dates of which are claimed.FIELD OF THE INVENTION [0002] The present invention relates in general to automated data collection and analysis, and, in particular, to a system and method for providing normalized voice feedback from an individual patient in an automated collection and analysis patient care system. BACKGROUND OF THE INVENTION [0003] A broad class of medical subspecialties, including cardiology, e...

AI Technical Summary

Benefits of technology

[0019] The present invention facilitates the gathering, storage, and analysis of critical patient information obtained on a routine basis and analyzed in an automated manner. Thus, the burden on physicians and trained personnel to evaluate the volumes of information is significantly minimized while the benefits to patients are greatly enhanced.

[0020] The present invention also enables the simultaneous collection of both physiological measures from implantable medical devices and quality of life measures spoken in the patient's own words. Voice recognition technology enables the spoken patient feedback to be normalized to a standardized set of semi-quantitative quality of life measures, thereby facilitating holistic remote, automated patient care.

Problems solved by technology

Bradycardia can cause symptoms such as fatigue, dizziness, and fainting.

Tachycardia can result in sudden cardiac death (SCD).

The volume of data retrieved from a single device interrogation “snapshot” can be large and proper interpretation and analysis can require significant physician time and detailed subspecialty knowledge, particularly by cardiologists and cardiac electrophysiologists.

The sequential logging and analysis of regularly scheduled interrogations can create an opportunity for recognizing subtle and incremental changes in patient condition otherwise undetectable by inspection of a single “snapshot.” However, present approaches to data interpretation and understanding and practical limitations on time and physician availability make such analysis impracticable.

However, unlike in a traditional clinical setting, physicians participating in providing remote patient care are not able to interact with their patients in person.

Consequently, quality of life measures, such as how the patient subjectively looks and feels, whether the patient has shortness of breath, can work, can sleep, is depressed, is sexually active, can perform activities of daily life, and so on, cannot be implicitly gathered and evaluated.

These prior art systems lack remote communications facilities and must be operated with the patient present.

These systems present a limited analysis of the collected data based on a single device interrogation and lack the capability to recognize trends in the data spanning multiple episodes over time or relative to a disease specific peer group.

However, the '976 telemetry transceiver, '869 communicator, and '245 programmer / interrogator are limited to facilitating communication and transferal of downloaded patient data and do not include an ability to automatically track, recognize, and analyze trends in the data itself.

Moreover, the '976 telemetry transceiver facilitates patient voice communications through transmission of a digitized audio signal and does not perform voice recognition or other processing to the patient's voice.

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