Towards an Ontology for Health Complaints Management
André Oliveira
1
, Filipe Portela
1,2
, José Machado
1
, António Abelha
1
, José Maia Neves
1
, Suzana Vaz
3
,
Álvaro Silva
3
and Manuel Filipe Santos
1
1
Algoritmi Research Centre, University of Minho, Guimarães, Braga, Portugal
2
ESEIG, Porto Polytechnic, Vila do Conde, Porto, Portugal
3
ERS, Porto, Portugal
Keywords: Ontology, Complaints Management, Healthcare, Information System.
Abstract: The dissatisfaction of healthcare institutions users has increased in Portugal in the recent years. This fact can
be seen through the increase of complaints that the entity responsible in this country has been receiving lately.
More and more technical efforts has been done to understand and analyse this tendency. In this paper the
authors are proposing an ontology about the whole process of complaints management from healthcare
institutions. All the work was developed after analysing the entire process and the data collected by the entity
responsible with this matter in Portugal. The ontology developed can show the main concepts involved in the
process and the relationship between them. As main ontology entities are person, document, measure and
status.
1 INTRODUCTION
Nowadays the entity which is responsible for
complaints management in healthcare area in
Portugal collects a large volume of data every day. A
very large part of the data collected states real
problems being most of them associated to services
provided to the healthcare institutions users. This fact
results in a growing necessity of developing analysis
in this area by discovering an adequate answer to the
complaints in order to solve the problems and
improve the quality and efficiency of services
provided in healthcare units.
This article aims to explore and develop an
ontology focused on the health complaints
management area as a way to specify and organize all
the knowledge involved. In this study a formal
representation of all knowledge by structuring a
framework based in concepts and informational
classes involved in the management process and
through the semantic relationships between them are
proposed.
The development of this study is the first phase of
a project having as goal to develop real-time models
able to make automatically classification and
recommendations in the complaints management
system by exploring date and text mining techniques.
In this way in this phase an ontology about
complaints management that can be integrated in the
project previously referred was developed. This
ontology is capable of making an exactly translation
of the whole management process and at the same
time can be reutilized in similar projects.
The work were performed with the help of the
Portuguese Complaints management institution. The
ontology developed in now being implemented.
In order to fully understand the information in this
article, initially in Section 2 it is an analysis of the
state of the art which will be briefly spoken about the
institution that enabled the proper development of
ontology providing information about all the
complaints. In this section it is explained the process
and the various entities and concepts involved in the
process. This section also describes the ontology and
complaints concepts. Here some information about
where users can submit their complaints as a
constitutional right and why it is so important to
realize studies and analysis about complaints are
provided. To finalize this section the motivations that
lead experts to analyze complaints and the
contributions which they provide to the scientific
community are also discussed.
In the third section of this article a description of
the ontology is performed. This section starts with an
exact designation of the whole process involved in the
174
Oliveira, A., Portela, F., Machado, J., Abelha, A., Neves, J., Vaz, S., Silva, Á. and Santos, M..
Towards an Ontology for Health Complaints Management.
In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - Volume 3: KMIS, pages 174-181
ISBN: 978-989-758-158-8
Copyright
c
2015 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
complaints management in healthcare units. As the
section name indicates the ontology is presented
specifically through the respective diagram, relying
on a description of all classes, concepts and properties
involved.
The fourth section is dedicated to discuss the work
and respective results. In this section is discussed the
relevance of the effort employed in this project as a
contribution to the scientific community and the
usefulness of the project in a real context domain.
After the discussion there is a conclusion section
where the last ideas about the work and the next steps
of this project are presented.
2 STATE OF THE ART
2.1 Complaints Management Entity
The entity involved in this project is a Portuguese
entity of public nature having the mission of regulate
all the activity developed by health care provider’s
establishments (Lobo, 2004).
This institution has the skills to cover the national
network of the health care public and private services.
Primarily concerned with the protection of user rights
and basic principles of public service, namely the
universality and equality of service access, safety and
quality of care (Simões, 2004).
In recent years, as part of its functions, this
organization has targeted the exercise of mainly
regulation in two dimensions: economic, to fix prices,
control the production in health establishments, and
on a social dimension, humanizing services and
monitoring the compliance of users rights (Relatório
sobre "A carta dos Direitos dos Utentes", 2011).
2.2 Complaints
According to the current legislation in Portugal, all
health care institutions users have the constitutional
right to pursue and formally complain about the
services provided, when they are not adequately
treated (Relatório sobre "A carta dos Direitos dos
Utentes", 2011). This system also can be used to
make a louvor. The complaints has not only the goal
to present the negative aspects but also can be used to
expose the most positive aspects.
All citizens as users of health care facilities have
the constitutional right to complain (negative or
positive) about the service or the way of they had been
treated. Effectively this right gives a clear and
perceptible response in health matter. It is one of the
majors concerns of the regulator entity. It is very
important to have a proper processing of all
complaints and expositions of displeasure by the
users. The main goal is allowing a better assessment
of the weak points of the national health system and
identify areas requiring further intervention.
In 2009, the regulator entity received a total of
7848 complaints related to health services, and most
of them were related to waiting times and quality of
administrative assistance and health care. Thus, the
claims are a good indicator of the response that the
people expects receive in health care facilities. The
complaints handling process, should reflect the needs
and expectation of users as well shall be in
accordance with the objectives of organizations
(Firmino, 2011). A correct management of
complaints clearly affects the sense of justice and
satisfaction of users, strengthening the bonds of
loyalty of users to the institution concerned. An
effective and efficient management of complaints
could result in organizational success on a highly
competitive market of direct competition, as is
observable in the health sector.
2.3 Ontologies
In recent years an increase use of ontologies was
observed, migrating from artificial intelligence (AI)
laboratories for the personal computers of experts in
the field (Gruber, 1993; Noy and McGuinness, 2001).
The concept of ontology has a Greek origin and it
was originally formulated by Aristotle being
described in philosophical Oxford dictionary as “[…]
term derived from the Greek word meaning “to be”,
but used since the seventeenth century to denote the
branch of metaphysics that means of what exists”
(Almeida and Bax, 2003; Blackburn and Marcondes,
1997; Guarino, Oberle, and Staab, 2009). Since then
the concept has generated a lot of controversy and
several authors have set out differing views on the
concept depending of the context in which it occurs.
Today ontology is treated as the “science of
being” and this definition also may lead to different
interpretations (Pisanelli, 2004). The Webster’s
dictionary defines ontology in two perspectives:
The branch of metaphysics related to nature and
the relations of being;
A particular theory of nature of be and all his types
of existence (Pisanelli, 2004);
In 20
th
century, the area of artificial intelligence
decided adopt the theme and plot their own
perspective and it is interpreted as a “specification of
a conceptualization” in the context of sharing
knowledge through data (Gruber, 1993; Pisanelli,
2004; Yao, Orne, and Etzkorn, 2005). It is possible to
Towards an Ontology for Health Complaints Management
175
verify that ontologies are constantly used in the field
of computer science, and in some ways they are seen
as a very particular and special type of informational
object or computational artefact (Guarino et al.,
2009). In that view, an ontology can be defined as a
formal and explicit specification of a shared
conceptualization, where formal specification refers
to something that computers are capable to read and
to explicit the concepts, ideas, terms, properties,
relationships, functions, constraints and axioms
explicitly defined. Conceptualization is an abstract
model of some phenomenon of the real world and for
sharing it we can understand an idea of consensual
knowledge (Borst, 1997; Morais and Ambrósio,
2007).
This is a technique characterized by defining a
common vocabulary for researchers who need to
share their knowledge and their discoveries in a
certain scientific field. Here it is included a definition
of a context interpretable by computers able to
characterize the core concepts of a field of study and
the relationships between them (Noy and
McGuinness, 2001).
Several authors claim that the reason for the
development of ontologies is directly related to the
sharing and reuse of knowledge by sharing the
understanding of the information structure used and
worked among software and people. However
ontologies also facilitates communication by
enabling humans and machines to make assumptions
about an explicit domain.
In practical terms ontologies define a language,
like a set of terms and concepts that will be used to
formulate queries or research information. The
ontology in this view could define the combination of
rules between terms and their relationships. These
relations are established by experts after intensive
study of the project area. Ontology users carry out
informational queries through specified concepts and
terms (Almeida and Bax, 2003; Morais and
Ambrósio, 2007; Obitko, Snásel, and Smid, 2004).
Increasingly, the branch of ontologies has been
proving its merit in the scientific community asserting
itself as an effective way for modelling data
collections within the user’s context. They can be
seen as a powerful and useful tool for presenting
overviews of a particular theme of study related to a
specific scientific area, formulating a rapid and
appropriate means for navigation and search of data
and information. In order to summarize the model of
concepts and relationships provided by ontologies, a
high level of abstraction is used. They provide to
humans a rich semantic level with the formality level
required to develop a processing and mechanical
reasoning through computers (Golemati, Katifori,
Vassilakis, Lepouras, and Halatsis, 2007).
The development of an ontology requires the use
of a specific vocabulary in order to describe a reality
as well as a collection of logical axioms to give
semantics to the intended meaning by the words of a
vocabulary. On the development of an ontology we
always need to use the following objects (Martins,
2002; Pickler, 2007):
Entities, that describes concepts and are
responsible to give the logical representation;
Attributes, that are responsible for describing the
properties of the entities involved;
Relationships, that are responsible for describing
the connections existents between objects of a
model;
On the development of an ontology, Aldo
Gangemi (Gangemi and Presutti, 2009) defends the
existence of two kinds of ontologies, being the first
designed Coverage-oriented ontologies covering the
terminology, metadata or folksonomies respecting to
a specific domain and being the second kind designed
as Task-oriented ontologies. This type is able to
structure a knowledge base that can be used to answer
competency questions.
In the study of a specific scientific area must be
defined a perspective to use in a way to capture
knowledge or to identify the principles concepts that
will be used in the ontology and the relationships
between them. For that purpose there are three
approaches that can be used and integrated into the
knowledge capture activity being them the Top-
Down approach, the Bottom-Up approach and the last
the Middle-Out approach.
Currently more and more ontologies have been
developed for many different areas. One of the areas
where ontologies have been more prominent is
medicine, where it is focused on the representation
and organization of medical terminologies. Several
applications based on ontologies and their
perspectives have been developed in the health care
sector, and their benefits have been proved at the level
of development of information systems dedicated to
health. These systems are systematically more
powerful than before and they are more capable of
interoperability. At the level of medical patient data
the application of ontologies helped to improve the
transmission, reutilization and sharing process of
information, and also provided contributions in
statistics for many different purposes in healthcare
sector (Pisanelli, 2004).
Nowadays there are ontologies dedicated to the
specific area of costumer management and for
managing the relation with them having as a
KMIS 2015 - 7th International Conference on Knowledge Management and Information Sharing
176
fundamental factor their level of satisfaction. Several
ontologies are actually focused on detection of health
problems and diseases for doctors, but there is not yet
a single ontology that can be capable of deal directly
with the area of complaints management in health
care units.
This type of complaints has a complete different
characteristic. The complaints are obtained from
simple commercial establishments of direct
transaction and distribution of products to the final
consumer. One of the main distinguishing
characteristics of complaints obtained from health
care providers units is the fact that in a simple
complaint the protestant can claim about several
aspects related to the attendance, to the service and
the infrastructure, as the waiting time and could be
also of medical aspects involving several different
areas of study.
3 ONTOLOGY DESCRIPTION
3.1 Problem Contextualization
As above stated, this ontology focuses its intervention
on the field of complaints management in healthcare
units. It was developed relying on the information
collected from the Portuguese institution responsible
for the regulation of complaints (Relatório sobre "A
carta dos Direitos dos Utentes", 2011).
Therefore and taking into account the concepts
and rules assimilated from many different articles and
studies focused in the field of ontologies, it was
extremely necessary during the development process
take into account two main perspectives: the first
perspective is related to the embodiment of this work
in developing an analysis system for complaints, from
the perspective of who provides data for the
informational ontology chain (protestant, complaints
respondent and the regulatory institution) and the
prospect of future utilization of this ontology by
experts from the scientific community on similar
projects.
The users of a health care services unit have
constitutional right to make a complaint (positive or
negative) of the service that was rendered them
always they feel the need to do so. For this valid
reason in all establishments (public or private) there
are always a requirement to submit the book of
complaints and it is mandatory to provide it to
customers freely whenever this book is requested.
The book in question is dedicated solely to receive
complaints, and has a unique structure being exactly
equal for all establishments in the Portuguese health
network. In this way when a client begin to formulate
a complaint on this book, this can be seen as the first
stage of the entire complaints management process.
The user of a health care unit who produces a
complaint in the book, is referred to this stage as the
Protestant and initiate the stage by the formulation of
the informative fields concerning with personal
information identifying the person who claims by
name, civil identification number, address and
telephone number. Then and still filling the
complaint, there is a supply of information relating to
the person or institution who suffers the complaint
and the Respondent. Finalizing the formulation he
writes information relying with the claim itself i.e.
writing the subject of the complaint choosing a
category or type to designate the document and
finally the writing of the text which the reason of
dissatisfaction / satisfaction of the Protestant that lead
to the formulation of the claim itself is explained. In
conclusion of this first stage it remains to say that
filling the complaints book is not the only way for the
Protestant presenting and sharing his claims about a
service, this action also can be done by writing the
complaint directly on the web portal (formulary is
equal to the book) of the institution that regulates
health care complaints in Portugal.
Posteriorly all the complaints are collected and
they are sent for analysis by the responsible
institution. The analysis process is conducted by a
detached agent of the institution, which oversees and
reviews all the information of the complaint He
determines whether it is well categorized. Then he
processes it into the institution system using the
Protestant and the Respondent personal information
and writing an informative synthesis of all complaint
subject.
After the complaints processing stage be
completed there is an analysis phase which the central
issue of the document is the complaint study. In this
phase a corrective measure to solve the problem
identified is created. It is communicated and shared to
the respondent of the complaint in order to solve the
problem.
If the measure outlined by the institution is well
applied by the Respondent the problem is solved and
the case is finalized. Then the complaint in matter is
officially archived. When the measure drawn is not
capable to solve the identified problem or do not
return the expected result, there is a communication
between the regulatory institution and the Respondent
of the complaint to study the reasons of why the
problem was not primarily solved or why the measure
was not adequate initially to the problem.
Towards an Ontology for Health Complaints Management
177
Figure 1: Taxonomy and Diagram of Major classes of complaints ontology.
Remains to be said that as soon as it starts the
processing and analysis phase of complaints is
assigned to every single one complaint a state related
with the conclusions of the preliminary analysis of the
document attributed by the detached supervisor agent
by the institution.
In figure 1 can be observed all the major classes
involved in the process of complaints management in
health care establishments and its relationships
previously described in this section of the article.
3.2 The Ontology
The ontology is basically a transcription of all
knowledge acquired in a particular field of interest,
i.e. it is a data model that aggregates several concepts,
terms and the properties which defines and determine
the exploration theme and specifies the various
existing relationships between them.
For the development of this ontology a Top-Down
approach was followed. First the most general and
abstract concepts were defined. Subsequently the
degree of specialization was increased.
This ontology reflects all knowledge acquired
over the area of complaints management in health
care establishments, and so on the main concept of the
whole study is the complaint. As can be seen in the
figure 2 this is the principal class of the ontology and
all other classes created are effectively subclasses of
this superclass complaints.
After this, we can see the existence of two level of
classes, the first is structured by the class document,
the class measures, the class status and finally the
class person. In the second level of classes the reader
can denote an increase of the degree of specialization
of the ontology related to the presentation of more and
more specialized classes restricting even more the
number of individuals involved in the problem.
This ontology diagram (figure 2) is composed by
classes, object properties and data type properties in
order to represent exactly the flux of data and the
principal terms identified in the process of complaints
management in health care institutions.
As previously referred ontology is the complaints
superclass. This superclass should have four
subclasses namely the class Document, the class
Person, the class Measures and the class Status.
The class Document was created with the
objective to reflect the first stage of the process of
complaints management. In other words this is the
phase where a person makes formally a complaint and
the properties that make up this class are related to the
categorization of the document, the description of the
complaint and the subject involved.
In the process of creation of a complaint the
Protestant has to decide the way that he is going to
present his claim and he has two ways: paper or
electronically. It was the reason to create two
subclasses of document, the class PaperComplaint
and the class OnlineComplaint.
The class Person was created by the fact that in
this ontology there are three classes that feature both
human resources in the process chain and
simultaneously they have similar data properties. In
this way the class person has as informational data
properties the name and the address of the person
involved in the process of complaints management.
On the second level of this class the ontology has
the class AgentSupervisor who is the person detached
by regulator institution for the analysis developed
about a complaint. This class has as properties the
activity developed by the agent and information about
his position inside the company.
KMIS 2015 - 7th International Conference on Knowledge Management and Information Sharing
178
Figure 2: Complaints ontology diagram.
Another subclass of person is the class
Respondent, concerning with the person or entity
which the complaint is formed and focuses.
The last subclass of person is the class Protestant.
This class refers to the person whose felt dissatisfied
with the service provided or wants to thank to
someone or some care. This class has informational
properties of data as the telephone number of the
protestant or his nationality.
The next class presented is the Measure class
(figure 3). It is directly linked to the solution proposed
for resolving the problem found in complaint
provided by the regulator company. This class has
subclasses designed and related with the principle and
more commons measures.
Figure 3: Design of the Class Measures.
In this order of ideas the subclasses Measures is
composed by Internal Process Creation, Disciplinary
Process, Preventive Measures Implementation,
Corrective Measures Implementation and Ignore.
The properties of Measures class are related to the
adequacy of corrective measures outlined by the
agent who supervised the complaint and if it had the
desired effect or not and what state of the measure is.
In this particular case it is possible to observe that the
measures class is defined with the property analysis
date being this property of date time format. It is the
date that the measure was analysed.
Measure status as the name indicates refers to the
state that actually it is the measure, i.e. if the drawn
measure was effectively applied, if it was approved or
if it was rejected.
The following property is designed as measures
results. It is concerned with the result that the measure
have obtained after their application. This class also
have properties as application date relaying to the day
of application of measure.
Finally the last property measure is description
where it is detailed the resolution to the problem
identified in the complaint.
The last class is status (figure 4). This is a class
dedicated to the analysis of the complaint state. It is
characterized by four subclasses which all represents
a particular state that the complaint can have being
them the subclass Review, Filed, Redirect and
Ignored.
The main property of the class Status is called
StatusDate referring the date on which the regulator
agent classified the complaint status being this
property of type date time.
Towards an Ontology for Health Complaints Management
179
4 DISCUSSION
This ontology was designed in real context being all
the information necessary for developing it work
collected on the field. Therefore it reflects the main
concepts of the area of complaints management in
health care institution.
The development of this ontology fulfils all the
work goals. It provides an understanding of the whole
process of management and regulation of health
complaints and its interpretation is easily
understandable for experts in the field of ontologies.
It can be read by common people and for machine
interpretation fulfilling the purpose related to the
reuse of knowledge.
By the way this work was made with the help of
the entity responsible for the complaints management
in Portugal the ontology was designed in order to be
global and to represent what exactly happens during
the process. This ontology can be easily adopted by
any country and can be used for example by any
service / department provided by a hospital. Taking
as example the Centro Hospitalar do Porto, this
ontology can be adopted to make complaints in
maternity care (Abelha, et al., 2015), emergency
(Portela, et al., 2010) intensive care units (Portela F. ,
Vilas-Boas, Santos, and Rua, 2012) (Portela, et al.,
2014)(Portela et al., 2014), dermatology (Duarte,
Portela, Abelha, Machado, and Santos, 2011) and
others) and for many reasons: patient discharge
(Portela, et al., 2014), readmissions (Braga, Portela,
& Santos, 2014), nosocomial infections (Silva, et al.,
2015), triage (Cabral, et al., 2011), among others.
Figure 4: Design of the Class Status.
5 CONCLUSION AND FUTURE
WORK
This article presents an ontology applied to the field
of management complaints in health care units based
in real facts. For the development of this work it was
needed an intensive search and analysis of the
development of ontologies which was combined with
a study of the complaints management process with
the entity that regulate this issue in Portugal. For this
reason this paper demonstrates a very interesting
contribution to the scientific community because all
the work has real data daily collected.
In the developed ontology, a conceptual layout of
the entire knowledge in the complaints management
process was designed. It is easily to observe that the
most important concepts in this activity are structured
trough classes also being evidenced the relationship
between them. This conceptual layout demonstrates
an easy understanding of the existing information
flow in the area for both experts and researchers in the
field of ontologies as for ordinary people.
One of the main advantages that focused the
development of all work is the ability to use and reuse
the implicit knowledge in ontologies on similar
projects. The absolute objective that motivate the
development of work and the effort dedicated to the
project it is the use of information and the possibility
of using the information provided by ontology in data
and text mining project in order to study the
possibility of developing a system able to
automatically classifies and recommend a
categorization for the management of complaints.
In this sense the developed ontology is being
implemented in real context and its impact will be
studied. The integration of the ontology will be
studied an evaluated by ensuring their viability and
their contributions to both scientific community as
well as to the entity that regulates complaints from
health care establishments, which helped the project
from the start.
ACKNOWLEDGEMENTS
This work has been supported by FCT - Fundação
para a Ciência e Tecnologia within the Project Scope
UID/CEC/00319/2013. We would like to thank to
ERS by kindly providing the data.
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