Visualizing Patient Journals by Combining Vital Signs Monitoring and Natural Language Processing

Adnan Vilic; John Asger Petersen; Karsten Hoppe; Helge Bjarup Dissing Sørensen

Visualizing Patient Journals by Combining Vital Signs Monitoring and Natural Language Processing

Adnan Vilic, John Asger Petersen, Karsten Hoppe, Helge Bjarup Dissing Sørensen

Copenhagen Center for Health Technology

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients’ physiological condition during an admission, which is assessed by electronically monitoring vital signs and then combining these into Early Warning Scores (EWS). Hereafter, techniques from Natural Language Processing (NLP) are applied on the existing patient journal to extract all entries. Finally, the two methods are combined into an interactive timeline featuring the ability to see drastic changes in the patients’ health, and thereby enabling staff to see where in the journal critical events have taken place.

Original language	English
Title of host publication	Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	IEEE
Publication date	2016
Pages	2529-2532
Article number	WeCT16.6
ISBN (Print)	978-1-4577-0220-4
Publication status	Published - 2016
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, United States Duration: 16 Aug 2016 → 20 Aug 2016 Conference number: 38 http://embc.embs.org/2016/

Conference

Conference	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number	38
Country/Territory	United States
City	Orlando
Period	16/08/2016 → 20/08/2016
Internet address	http://embc.embs.org/2016/

OpenUrl availability

Full text

Cite this

@inproceedings{6f19f13ca98f43358eb8133ef371dee6,

title = "Visualizing Patient Journals by Combining Vital Signs Monitoring and Natural Language Processing",

abstract = "This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients{\textquoteright} physiological condition during an admission, which is assessed by electronically monitoring vital signs and then combining these into Early Warning Scores (EWS). Hereafter, techniques from Natural Language Processing (NLP) are applied on the existing patient journal to extract all entries. Finally, the two methods are combined into an interactive timeline featuring the ability to see drastic changes in the patients{\textquoteright} health, and thereby enabling staff to see where in the journal critical events have taken place.",

author = "Adnan Vilic and Petersen, {John Asger} and Karsten Hoppe and S{\o}rensen, {Helge Bjarup Dissing}",

year = "2016",

language = "English",

isbn = "978-1-4577-0220-4",

pages = "2529--2532",

booktitle = "Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE",

address = "United States",

note = "38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 ; Conference date: 16-08-2016 Through 20-08-2016",

url = "http://embc.embs.org/2016/",

}

Vilic, A, Petersen, JA, Hoppe, K & Sørensen, HBD 2016, Visualizing Patient Journals by Combining Vital Signs Monitoring and Natural Language Processing. in Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society., WeCT16.6, IEEE, pp. 2529-2532, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, United States, 16/08/2016.

Visualizing Patient Journals by Combining Vital Signs Monitoring and Natural Language Processing. / Vilic, Adnan; Petersen, John Asger; Hoppe, Karsten et al.
Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2016. p. 2529-2532 WeCT16.6.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Visualizing Patient Journals by Combining Vital Signs Monitoring and Natural Language Processing

AU - Vilic, Adnan

AU - Petersen, John Asger

AU - Hoppe, Karsten

AU - Sørensen, Helge Bjarup Dissing

N1 - Conference code: 38

PY - 2016

Y1 - 2016

N2 - This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients’ physiological condition during an admission, which is assessed by electronically monitoring vital signs and then combining these into Early Warning Scores (EWS). Hereafter, techniques from Natural Language Processing (NLP) are applied on the existing patient journal to extract all entries. Finally, the two methods are combined into an interactive timeline featuring the ability to see drastic changes in the patients’ health, and thereby enabling staff to see where in the journal critical events have taken place.

AB - This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients’ physiological condition during an admission, which is assessed by electronically monitoring vital signs and then combining these into Early Warning Scores (EWS). Hereafter, techniques from Natural Language Processing (NLP) are applied on the existing patient journal to extract all entries. Finally, the two methods are combined into an interactive timeline featuring the ability to see drastic changes in the patients’ health, and thereby enabling staff to see where in the journal critical events have taken place.

M3 - Article in proceedings

SN - 978-1-4577-0220-4

SP - 2529

EP - 2532

BT - Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE

T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 16 August 2016 through 20 August 2016

ER -

Visualizing Patient Journals by Combining Vital Signs Monitoring and Natural Language Processing

Abstract

Conference

OpenUrl availability

Fingerprint

Cite this