=Paper=
{{Paper
|id=Vol-2456/paper44
|storemode=property
|title=NAOMI: INformation Application fOr Relatives of Patients AdMitted to the ICU
|pdfUrl=https://ceur-ws.org/Vol-2456/paper44.pdf
|volume=Vol-2456
|authors=Femke Ongenae,Iman Cocquyt,Kevin Claerhout,Kirsten Colpaert,Sofie Van Hoecke
|dblpUrl=https://dblp.org/rec/conf/semweb/OngenaeCCCH19
}}
==NAOMI: INformation Application fOr Relatives of Patients AdMitted to the ICU==
https://ceur-ws.org/Vol-2456/paper44.pdf
NAOMI: iNformation Application fOr relatives
of patients adMitted to the ICU
Femke Ongenae1[0000−0003−2529−5477] , Iman Cocquyt1 , Kevin Claerhout1 ,
Kirsten Colpaert2[0000−0003−2515−1713] , and Sofie Van
Hoecke1[0000−0002−7865−6793]
1
IDLab - Ghent University - imec, Technologiepark 126, 9052 Zwijnaarde, Belgium,
Femke.Ongenae@ugent.be, https://www.ugent.be/ea/idlab/en
2
Ghent University Hospital, ICU, C. Heymanslaan 10, 9000 Ghent, Belgium,
Kirsten.Colpaert@UGent.be, https://www.uzgent.be
Abstract. A hospitalization at the Intensive Care Unit (ICU) is a stress-
ful event for both patients and family members. As such, they are often
confused and worried about the condition of the patient. To support
the verbal communication between the medical staff on the one hand
and the ICU patients and their relatives on the other hand, this demo
present the NAOMI platform. NAOMI allows doctors to upload medi-
cal brochures, which are then automatically annotated with appropriate
clinical terms. By monitoring the pathology, symptoms and treatment
plan of the patients and matching them on these annotations, NAOMI
will then provide the appropriate paragraphs from these brochures to
patients and their relatives. As such, they always get personalized and
appropriate information about the condition of the patient.
Keywords: Intensive Care Unit · Patient Information System · Seman-
tic brochure annotation · SNOMED
1 Introduction
The Intensive Care Unit (ICU) of Ghent University Hospital is responsible for
the treatment of patients with acute, life-threatening disorders. The patient is
constantly monitored by a team of doctors and nurses. During the hospitaliza-
tion, the patient’s relatives experience a lot of stress. The medical staff of the
Ghent University Hospital tries to comfort and support the family members
by offering specific information about the patients situation. Currently, this is
being performed verbally, supported by paper brochures. However, during this
stressful period the family members tend to forget the given information. The
given brochures, which are also available on-line, are created for broad categories
of pathologies, to ensure usability for a large group of patients. Consequently,
the brochures contain a plethora of information that is not applicable to the
Copyright c 2019 for this paper by its authors. Use permitted under Creative Com-
mons License Attribution 4.0 International (CC BY 4.0).
2 F. Ongenae et al.
Fig. 1. Architecture of the NAOMI platform
particular patient’s condition. As such, the family members tend to be drowned
in non-specific and detail information. To enrich their knowledge about the pa-
tient’s pathology, they then tend to search the Web for more information, e.g.,
using Symptom Checker3 . This often leads to misconceptions and more worry
because the found material is not personalized and contains too much informa-
tion that does not apply to the specific situation or treatment of the patient.
To counter these issues, we have designed a patient information system,
called NAOMI, to support communication between the medical staff and the
patient’s relatives about the patient’s condition. NAOMI allows the medical
staff to upload brochures. These are semi-automatically annotated according to
pre-defined, fine-grained categories. When a patient is admitted to the ICU or
his/her condition is updated in the electronic patient record (EPD) of the hos-
pital, his/her pathology and/or symptoms are automatically mapped on these
annotations. As such, only relevant sections of the brochures are provided as
information to the relatives. In this way, NAOMI provides a source of informa-
tion that is personalized to the patients current condition. Moreover, to support
the verbal communication, NAOMI also contains a question-and-answer service,
allowing the medical staff to inquire about the (medical) history and lifestyle
of the patient, and a diary, enabling the patient and relatives to share text and
pictures with each other.
2 NAOMI Architecture
The high-level architecture of NAOMI is shown in Figure 1. The various com-
ponents are highlighted below.
Annotation service: The annotation service provides the functionality to
semi-automatically annotate the various paragraphs of the uploaded brochures
according to fine-grained categories. First the text is pre-processed by:
– identifying the different paragraphs,
3
https://patient.info/symptom-checker
NAOMI 3
– performing tokenization that splits up the paragraph in single tokens consist-
ing of 1 or more words that have joint meaning, e.g., non invasive ventilation,
– normalizing the text to remove capitalization and superfluous characters, e.g.,
punctuation and numbers,
– performing lemmatization to transform each word to its stem,
– removing stop words, and
– translating the remaining words to English.
To identify the labels for the paragraphs, a medical ontology is used, namely the
SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms) ontol-
ogy4 . It represents a collection of medical concepts in a hierarchy, where each
one of them is described by fixed medical terms. The tokens that remain after
the pre-processing are looked up in the SNOMED terms by using Stardog5 and
SPARQL. The most frequent occurring medical terms from SNOMED are used
to label the paragraph. The brochure and its labels are stored in the database
in a tree-based manner. The root is the title of the brochure. Each child of this
root represents either a paragraph or a subtitle. Paragraphs below a subtitle are
added as children of this subtitle node. As such the structure of the document
is reflected in the shape of the tree, i.e., the more subtitles, the deeper the tree.
A parent node also receives the labels of its children and the most frequent ones
are used to label this parent (i.e. title). As such, the root contains all the most
important labels that categorize this brochure and all the relevant paragraphs
and titles can easily be identified that are linked to a particular term.
Rule-based service: The rule-based service, implemented using the Easy Rules
system6 , is used to map the pathology, symptoms and treatment plans of the
patient on the annotation categories. These rules are incepted and curated by the
medical staff of Ghent University Hospital. This ensures that only the paragraphs
of the brochures are selected and shown that are relevant for this particular
patient’s condition. An example of a Rule is: IF ICDS score > 4 AND ETT
Tube present THEN linked categories are ”invasive ventilation”, ”non-invasive
ventilation”, ”sedation”, ”fixation”, ”tracheal cannula”.
Information retrieval and storage: The platform connects to existing databases
of Ghent University Hospital through the use of a data virtualisation system,
namely jBoss Teiid7 . From these database, the necessary information about the
patient is retrieved, e.g., his/her pathology, symptoms and current treatment. A
dedicated database for NAOMI was also set-up, which contains, for example, the
uploaded brochures and its annotations, account information of the users (e.g.
the relatives) and the questionnaires of the medical staff towards the relatives.
Web applications: Two web application were developed in Angular, one for
the medical staff and one for the patient and his/her relatives.
4
http://www.snomed.org/
5
https://www.stardog.com/
6
https://github.com/j-easy/easy-rules
7
https://docs.jboss.org/author/display/teiidexamples/What+is+Teiid
4 F. Ongenae et al.
Fig. 2. The Web applications for a) the medical staff, and b) the patients & relatives
– Medical staff application: As shown in Figure 2a, this web application allows
to upload an annotate brochures. When a new brochure is uploaded, the
different paragraphs are automatically annotated with medical categories by
the Annotation service. The paragraphs and their annotations are then shown
to the medical staff, who can then decline wrong or unnecessary labels. When
the staff member accepts the remaining annotations, the annotated brochure
is stored in the NAOMI database. The application also allows to manage the
Question-and-answer service of the patient and relatives web application, e.g.,
add new questionnaires. Finally, the medical staff can manage the different
accounts of patients and relatives through the User management service, e.g.,
change access rights or link relatives to patients.
– Patient and relatives application: As visualized in Figure 2b, this application
allows the family members to retrieve information about the condition of
the patient in a comprehensible manner. This content is displayed both in
a timeline and in alphabetical order. It also uses the Question-and-answer
service to provide functionality in which the medical staff can ask questions
to the relatives. This supports verbal communication about the lifestyle and
(medical) history of the patient. A Diary service is foreseen allowing the
patient and the relatives to write texts and upload pictures chronicling his/her
stay at the ICU as well as events happening in the lives of the relatives. The
patient has the added ability to control the access rights of the family members
to his/her information through the User management service.
3 Demonstrator
The demo will allow the visitors to operate both designed web applications.
First, they will log in as a medical staff member. They will be able to choose
from a number of provided brochures to upload into the platform. Next, they
will use the first web application to semi-automatically annotate this brochure.
Second, they will log in as a family member of a given patient, who has a
pathology linked to the brochure they just annotated. They will then see how the
second web application automatically fetches the parts of the brochure that are
relevant for this patient. The two videos at the following link give an idea of the
functionality of both web applications: https://www.youtube.com/playlist?
list=PLFnSuWuVj0rFwVYp4o1d0bekLVYaq8n9J.