Devices, systems, and methods for automated data collection
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G01N-033/48
G06F-019/00
출원번호
US-0463997
(2012-05-04)
등록번호
US-9460264
(2016-10-04)
발명자
/ 주소
Bangera, Mahalaxmi Gita
Baym, Michael H.
Eckhoff, Philip A.
Hyde, Roderick A.
Ishikawa, Muriel Y.
Sweeney, Elizabeth A.
Wood, Jr., Lowell L.
출원인 / 주소
Elwha LLC
인용정보
피인용 횟수 :
0인용 특허 :
51
초록▼
Embodiments disclosed herein relate to methods, devices, and computer systems thereof for automated data collection from a subject. In certain embodiments, one or more characteristics of a subject are sensed, and the subject is given a queue status indicator based on a comparison of the subject's on
Embodiments disclosed herein relate to methods, devices, and computer systems thereof for automated data collection from a subject. In certain embodiments, one or more characteristics of a subject are sensed, and the subject is given a queue status indicator based on a comparison of the subject's one or more sensed characteristics with corresponding sensed characteristics from other subjects. In one embodiment, the subject is a healthcare worker and the system, methods, and devices are utilized to evaluate the overall health of the worker as part of the check-in process for work.
대표청구항▼
1. A system in a healthcare facility, comprising: one or more input/output devices having a non-transitory signal bearing medium operable toreceive at least one input regarding one or more characteristics of a subject in the healthcare facility, based on at least one sensor located in furniture or e
1. A system in a healthcare facility, comprising: one or more input/output devices having a non-transitory signal bearing medium operable toreceive at least one input regarding one or more characteristics of a subject in the healthcare facility, based on at least one sensor located in furniture or equipment configured to support the subject;compare the at least one input regarding the subject with a Characteristic Value dataset;generate a Characteristic Value from the at least one input regarding the subject based on the comparison with the Characteristic Value dataset;reinitiate receiving at least one input regarding one or more characteristics of the subject, comparing at least one input with a Characteristic Value dataset, and generating a Characteristic Value from the at least one input regarding the subject based on the comparison with the Characteristic Value dataset until an assessment threshold is satisfied;generate a Criticality Value for the subject based on a weighted determination of the subject's Characteristic Values;compare the Criticality Value of the subject with a Criticality Value dataset, the Criticality Value dataset including Criticality Values previously generated for the subject based on his or her own health history and including Criticality Values previously generated for other subjects in the hospital room in a queue;communicate an output indicative of the Criticality Value of the subject to a user;generate a Queue Status Indicator from a Queue Status Indicator dataset based on the comparing of the Criticality Value of the subject with the Criticality Value dataset derived from among subjects in the same location;communicate a locational indicator of the subject with the highest priority for medical treatment based on its assignment with a Queue Status Indicator that exceeds a threshold value, anddirecting at least one health care worker to provide medical treatment to the subject with the highest priority for medical treatment. 2. The system of claim 1, wherein the assessment threshold includes one or more of time, characteristic value, or sequential number. 3. The system of claim 1, wherein the at least one input regarding the subject includes at least one input in response to one or more queries. 4. The system of claim 3, wherein subsequent one or more queries are based on previous input or response by the subject to a previous query. 5. The system of claim 1, wherein the at least one input regarding the subject includes at least one input from a healthcare worker or device regarding the subject. 6. The system of claim 1, wherein the subject is nonresponsive. 7. The system of claim 1, wherein the at least one input regarding the subject includes at least one result from a physiologic assessment of the subject. 8. The system of claim 7, wherein the physiologic assessment includes at least one of an electronic measurement, biological assay, or biochemical assay. 9. The system of claim 1, wherein the at least one input regarding the subject includes one or more detected physiologic parameters sensed by one or more sensors assessing the subject. 10. The system of claim 1, wherein the comparing at least one input regarding the subject with a Characteristic Value dataset includes at least one of coupling, versioning, or clustering in determining the subject's one or more Characteristic Values. 11. The system of claim 3, wherein the queries are linked to the Characteristic Value dataset. 12. The system of claim 1, wherein the input/output device is operable to convert information into electronic signals that include digitized or weighted protocols. 13. The system of claim 1, wherein the system includes one or more logic devices. 14. A system in a healthcare facility, comprising: one or more computing devices operable toreceive at least one input regarding one or more characteristics of a subject in the healthcare facility, based on at least one sensor located in furniture or equipment configured to support the subject;compare the at least one input regarding the subject with a Characteristic Value dataset;generate a Characteristic Value from the at least one input regarding the subject based on the comparison with the Characteristic Value dataset;reinitiate receiving at least one input regarding one or more characteristics of the subject, comparing at least one input with a Characteristic Value dataset, and determining a Characteristic Value from the at least one input regarding the subject based on the comparison with the Characteristic Value dataset until the comparison satisfies a threshold condition;generate a Criticality Value for the subject based on a weighted determination of the subject's Characteristic Values;compare the Criticality Value of the subject with a Criticality Value dataset, the Criticality Value dataset including Criticality Values previously generated for the subject based on his or her own health history and including Criticality Values previously generated for other subjects in the hospital room in a queue;communicate an output indicative of the Criticality Value of the subject to a user;generate a Queue Status Indicator from a Queue Status Indicator dataset based on the comparing of the Criticality Value of the subject with the Criticality Value dataset derived from among subjects in the same location;communicate a locational indicator of the subject with the highest priority for medical treatment based on its assignment with a Queue Status Indicator that exceeds a threshold value, anddirecting at least one health care worker to provide medical treatment to the subject with the highest priority for medical treatment. 15. A system in a healthcare facility, comprising: one or more Critical Value generation devices having a non-transitory signal bearing medium operable toreceive at least one input regarding one or more characteristics of a subject in the healthcare facility, based on at least one sensor located in furniture or equipment configured to support the subject;compare the at least one input regarding the subject with a Characteristic Value dataset;generate a Characteristic Value from the at least one input regarding the subject based on the comparison with the Characteristic Value dataset;reinitiate receiving at least one input regarding one or more characteristics of the subject, comparing at least one input with a Characteristic Value dataset, and determining a Characteristic Value from the at least one input regarding the subject based on the comparison with the Characteristic Value dataset until the comparison satisfies a threshold condition;generate a Criticality Value for the subject based on a weighted determination of the subject's Characteristic Values;compare the Criticality Value of the subject with a Criticality Value dataset, the Criticality Value dataset including Criticality Values previously generated for the subject based on his or her own health history and including Criticality Values previously generated for other subjects in the hospital room in a queue;communicate an output indicative of the Criticality Value of the subject to a user;generate a Queue Status Indicator from a Queue Status Indicator dataset based on the comparing of the Criticality Value of the subject with the Criticality Value dataset derived from among subjects in the same location;communicate a locational indicator of the subject with the highest priority for medical treatment based on its assignment with a Queue Status Indicator that exceeds a threshold value, anddirecting at least one health care worker to provide medical treatment to the subject with the highest priority for medical treatment. 16. A system in a healthcare facility, including a computer processor, the system comprising: circuitry configured for receiving at least one input regarding one or more characteristics of a subject in the healthcare facility, based on at least one sensor located in furniture or equipment configured to support the subject;circuitry configured for comparing at least one input regarding the subject with a Characteristic Value dataset;circuitry configured for determining a Characteristic Value from the at least one input regarding the subject based on the comparison with the Characteristic Value dataset;circuitry configured for repeating receiving at least one input regarding one or more characteristics of the subject, comparing the at least one input with a Characteristic Value dataset until a comparison with the Characteristic Value dataset satisfies a threshold condition;circuitry configured for generating a Criticality Value for the subject based on a weighted determination of the subject's Characteristic Values;circuitry configured for comparing the Criticality Value of the subject with a Criticality Value dataset, the Criticality Value dataset including Criticality Values for the subject based on his or her own health history and including Criticality Values previously generated for other subjects in the hospital room in a queue;circuitry configured for communicating an output indicative of the Criticality Value of the subject to a user;circuitry for generating a Queue Status Indicator from a Queue Status Indicator dataset based on the comparing of the Criticality Value of the subject with the Criticality Value dataset;circuitry for communicating a locational indicator of the subject with the highest priority for medical treatment based on its assignment with a Queue Status Indicator that exceeds a threshold value, andcircuitry for directing at least one health care worker to provide medical treatment to the subject with the highest priority for medical treatment. 17. The system of claim 16, further including circuitry for storing at least one of the one or more Characteristic Values, the one or more Criticality Value, or the Queue Status Indicator value for the subject. 18. The system of claim 16, further including: circuitry for recording, responsive to the circuitry for accepting data related to a subject;responsive to the circuitry for receiving at least one input regarding one or more characteristics of the subject;responsive to the circuitry for comparing at least one input regarding one or more characteristics of the subject with the Characteristic Value dataset;responsive to the circuitry for determining a Characteristic Value from the at least one input regarding the subject based on the comparison with the Characteristic Value dataset;responsive to the circuitry for repeating reinitiating receiving the at least one input regarding one or more characteristics of the subject and comparing the at least one input regarding the subject with the Characteristic Value dataset until a comparison with the Characteristic Value dataset satisfies a threshold condition;responsive to the circuitry for generating a Criticality Value for the subject based on a weighted determination of the subject's Characteristic Values;responsive to the circuitry for comparing the Criticality Value of the subject with a Criticality Value dataset, the Criticality Value dataset including Criticality Values previously generated for the subject based on his or her own health history; andresponsive to communicating an output indicative of the Criticality Value of the subject to a user. 19. A system in a healthcare facility, including a computer processor, comprising: circuitry for receiving one or more signals transmitted in response to generating one or more of a subject's Characteristic Values, or a subject's Criticality Value based on receiving at least one input regarding one or more characteristics of the subject in the healthcare facility, based on at least one sensor located in furniture or equipment configured to support the subject;circuitry for comparing the Criticality Value of the subject with a Criticality Value dataset, the dataset including Criticality Values previously generated for the subject based on his or her own health history and including Criticality Values previously generated for other subjects in the hospital room in a queue;circuitry for assigning a Queue Status Indicator based on the comparison of the subject's Criticality Value with the Criticality Value dataset derived from among subjects in the same location;circuitry for indicating location of one or more subjects with the highest priority for medical treatment based on the assigned Queue Status Indicator in response to assessing the subject, andcircuitry for directing at least one health care worker to provide medical treatment to the subject with the highest priority for medical treatment. 20. The system of claim 19, further including: circuitry for recording, responsive to the circuitry for receiving one or more signals transmitted in response to generating one or more of the subject's Characteristic Values, or the subject's Criticality Value;responsive to the circuitry for comparing the Criticality Value of the subject with a Criticality Value dataset, the dataset including Criticality Values previously generated for the subject based on his or her own health history;responsive to the circuitry for assigning a Queue Status Indicator based on the comparison of the subject's Criticality Value with the Criticality Value dataset;responsive to the circuitry for indicating location of one or more subjects with the highest priority for medical treatment based on their assigned Queue Status Indicator in response to the receiving at least one input regarding the subject, on a non-transitory signal bearing medium.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (51)
Ahmed,Omar, Apparatus for and method of creating and transmitting a prescription to a drug dispensing location.
Gough David A. (Cardiff CA) Lucisano Joseph Y. (La Jolla CA) Armour Jon C. (La Jolla CA) McKean Brian D. (San Diego CA), Complete glucose monitoring system with an implantable, telemetered sensor module.
Demaray,Richard E.; Zhang,Hong Mei; Narasimhan,Mukundan; Milonopoulou,Vassiliki, Energy conversion and storage films and devices by physical vapor deposition of titanium and titanium oxides and sub-oxides.
Meador John T. ; Miesel Keith A. ; Halperin Louis E. ; Taepke ; II Robert T. ; Stylos Lee, Implantable medical device for sensing absolute blood pressure and barometric pressure.
Shah,Rajiv; Zhang,Yanan; Gottlieb,Rebecca; Reghabi,Bahar; Miller,Michael, Method and apparatus for enhancing the integrity of an implantable sensor device.
Martin H. Teicher ; Steven B. Lowen ; David G. Harper ; Sumer D. Verma ; Janet M. Lawrence, Methods for diagnosing Alzheimer's disease and other forms of dementia.
Malinski Tadeusz (Oakland Township MI) Wink David A. (Hagerstown MD) Younathan Janet (Rochester NY) Murray Royce W. (Chapel Hill NC) Sullivan Melani (Rufenach CHX) Meyer Thomas J. (Chapel Hill NC) Ch, Nitric oxide sensor.
Bates John B. (Oak Ridge TN) Dudney Nancy J. (Knoxville TN) Gruzalski Greg R. (Oak Ridge TN) Luck Christopher F. (Knoxville TN), Thin film battery and method for making same.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.