Abstract Information Model for Geriatric Patient Treatment
Actors and Relations in Daily Geriatric Care
Lars R
¨
olker-Denker and Andreas Hein
Department of Health Services Research, University of Oldenburg, Oldenburg, Germany
Keywords:
Information Model, Geriatric Care, Knowledge Processes, Organisational Learning.
Abstract:
The authors propose an abstract information for geriatric care, the geriatric information model (GIM). They
adopt an information model from cancer care and introduce characteristics for geriatric care (patient popula-
tion, multidisciplinary and multi-professional approach, cross-sectoral approach). Actors (patients, physicians,
therapists, organisations), information objects, and information relations are defined. The GIM is validated by
mapping four typical knowledge processes (multi-professional geriatric team session, interdisciplinary clini-
cal case conferences, tumor boards, transition management) onto the model. The GIM is stated as useful for
understanding information flows and relations in geriatric care. All processes for validation can be mapped
onto GIM. In future work the GIM should be tested with more knowledge process and could also be used for
identifying gaps in the IT support of geriatric care. A study on high and low information quality in geriatric
care is also proposed.
1 INTRODUCTION
Patient treatment is a heavily data, information and
knowledge driven process with inter- and multidisci-
plinary cooperation (Chamberlain-Salaun et al., 2013,
74ff.). The amount of available data, information and
knowledge is increasing due to ongoing technologi-
cal developments and medical research. Medical in-
formation gathered in the domestic and mobile envi-
ronment of the patient will tighten this process in the
future.
These challenges also apply for geriatric patient
treatment (Mangoni, 2014) (R
¨
olker-Denker and Hein,
2015). Geriatric treatment is characterized by a target
population with complex diseases and an increasing
amount of patients, a multidisciplinary and multi-
professional treatment approach and a cross-sectoral
treatment (see section 3. For better understanding,
managing and controlling of information flows under
these constrains an abstract information model is nee-
ded.
In this work we adopt the approach of Snyder et
al (Snyder et al., 2011) who introduce an information
model for cancer care (see section 2). Afterwards, the
principles of geriatric care in Germany are introdu-
ced (see section 3). The model is then modified to
the needs of geriatric care based on literature review
and results from observational studies and interviews
with practitioners 4. The work is then validated with
four typical knowledge processes being mapped to the
model 5. The work then closes with a conclusion and
outlook 6.
2 ABSTRACT INFORMATION
MODEL
Snyder et al (Snyder et al., 2011) propose an abstract
information model for cancer care. Information in
cancer care is originated from clinician and patient
side (actors) and there are different communication
paths (relations). The actor-relations structure is de-
picted in figure 2.
2.1 Actors
Actors in the cancer care process resume have roles
and functions. In detail these are:
Patient: treated by a clinician;
Other patients: patients with same or similar dise-
ase and/or treated by the same clinicians or hospi-
talized in the same health organisation;
Patient’s family and friends: people associated
with the treated patient;
222
˝ulker-Denker L. and Hein A.
Abstract Information Model for Geriatric Patient Treatment - Actors and Relations in Daily Geriatric Care.
DOI: 10.5220/0006106902220229
In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), pages 222-229
ISBN: 978-989-758-213-4
Copyright
c
2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
Figure 1: Abstract Information Model based on (Snyder et al., 2011).
Clinician: treating a specific patient;
Other clinicians: other clinicians from the same
discipline (higher or lower rank), associated dis-
cipline or health organisation in contact with the
clinician in charge.
2.2 Relations
Patients and clinicians exist in a universe of informa-
tion. Snyder et al differentiate between high-quality
(HQ) information and low-quality (LQ) information,
with only a portion representing HQ information. HQ
information relations are:
Clinician’s HQ treatment information: Combi-
nation of clinician’s medical knowledge (gained
from education and experience) and acquired me-
dical information (laboratory, medical imaging,
EEG, ECG) with the information gained from ex-
amining the patient (sensorial information);
Patient’s HQ treatment information: Informa-
tion provided by the patient, e.g. drug intake,
health-relevant behaviours (nutrition, smoking) or
familial-genetic preload;
Patient’s HQ HQ information: information shared
along the patient and its family and friends and
along the patient and other patients;
Clinician’s HQ context information: Information
shared along the care team;
Clinician’s guidance: Clinicians can direct their
patients to appropriate information resources.
At the same time, it must be noted that much of the
information available to both clinicians and patients
is biased, incorrect, or otherwise not useful. LQ in-
formation is shared frequently among patients.
Patient’s LQ information: information shared al-
ong the patient and its family and friends, and al-
ong the patient and other patients;
Clinician’s LQ context information: Low quality
information is shared even among clinicians.
3 CHARACTERISTICS FOR
GERIATRIC PATIENT
TREATMENT IN GERMANY
The following statements mainly focus on the speci-
fic situation in Germany which the specifics of the
German health care system being separated into dif-
ferent sectors. Nevertheless the used information in
geriatric care is comparable to other countries while
crossing the sectoral boarders is the main challenge
in Germany.
The information flows in geriatric treatment differ
from the information flows in cancer care. There are
four main reasons:
Patient population;
Multidisciplinary approach;
Multi-professional approach;
Cross-sectoral approach.
Abstract Information Model for Geriatric Patient Treatment - Actors and Relations in Daily Geriatric Care
223
3.1 Patient Population
Geriatric patients often suffer from chronic conditi-
ons, multimorbidity, polypharmacy and cognitive de-
ficits (Soriano et al., 2007, 15). They are often hos-
pitalized in nursing or retirement homes and, due to
cognitive impairments, not able to give proper infor-
mation about their health status. This results in a
strong demand on patients’ information from clinici-
ans’ view. In addition the amount of geriatric patients
is continuously rising with the demographic change in
most industrial societies (Kolb and Weißbach, 2015).
Therefor a structured information acquisition is es-
sential for the future success of geriatric treatment.
3.2 Multidisciplinary Approach
Due to multimorbidity and chronic conditions, geria-
tric treatment follows a holistic and systemic appro-
ach including several different kinds of medical disci-
plines. The most frequent disciplines involved are in-
ternal medicine, family medicine, psychiatry and neu-
rology followed by orthopaedics, surgery, trauma and
abdominal surgery (Nau et al., 2016, 603ff.).
3.3 Multi-professional Approach
Geriatric treatment and geriatric care is a highly
multi-professional process with several professions
included (Tanaka, 2003, 69ff.). In Germany, geria-
tric is organised in different ways. In case of sta-
tionary care selected patients can be treated under
supervision of the multi-professional geriatric team
(MGT) in the so-called complex geriatric treatment
(German: geriatrische fr
¨
uhrehabilitative Komplexbe-
handlung) (Kolb et al., 2014) (R
¨
olker-Denker and
Hein, 2015, 314f.). The MGT consists of physicians,
nurses, therapists (logopedics, physiotherapists, occu-
pational therapists, psychologists) and social workers.
3.4 Cross-sectoral Approach
Geriatric patient are often treated over sectors bor-
ders and in other health care organisations (HCOs). In
Germany, medical treatment is mainly separated into
ambulatory care/out-patient care (general physicians,
consulting/specialist physicians, ambulatory medical
services provide by hospitals) and hospital care/in-
patient care. Rehabilitation care, stationary care (nur-
sing homes, retirement homes) and home care are ot-
her relevant sectors for patient treatment.
4 GERIATRIC INFORMATION
MODEL
The key to the Geriatric Information Model (GIM)
is depicted in figure 4, the GIM itself with actor-
information relations in figure 4.2.
4.1 Actors
Within the GIM actors can be a single actor or a
group, consisting of several single actors or other
groups. Single actors describe a specific class of per-
sons with similarities (e.g. patients, carers, clinicians)
whereas a group subsume different actors. E.g. carers
are one actor (because having the same characteris-
tics) whereas therapists are group consisting of diffe-
rent kind of therapists.
Patient (actor): geriatric patient treated by a clini-
cian;
Other patients (group): patients with same or si-
milar disease and/or treated by the same clinicians
or hospitalized in the same health organisation;
Patient‘s Social Environment (group): people as-
sociated with the treated patient;
MGT (group):The team consists of clinicians,
nurses, therapists, and medical social workers;
Clinician (actor): treating a specific patient and
part of the MGT with specific geriatric education
and training;
Care (actor): nurses in charge for the patient, of-
ten with specific geriatric education and training;
Therapists (group): logopedics, physiotherapists,
occupational therapists, psychologists and also ot-
her therapists if needed. They perform their spe-
cialised assessments to monitor the treatment out-
come;
Social service (actor): medical social service wor-
kers are responsible for the social assessment,
communication with other HCOs, with courts (in
case of guardianship). They organise transition
management to other HCOs (care home, ambula-
tory care);
Other HCOs (group): these are other HCOs also
responsible for the patient in the past and/or in the
future, often with HQ information being impor-
tant for the treatment. These HCOs can be from
ambulatory care/out-patient care (general physici-
ans, consulting/specialist physicians, ambulatory
medical services provide by hospitals), hospital
care/in-patient care (other hospitals), rehabilita-
tion care, stationary care (nursing homes, retire-
ment homes) and home care;
HEALTHINF 2017 - 10th International Conference on Health Informatics
224
Figure 2: Key to Geriatric Information Model.
Other clinical professions (group): these are all
other clinical profession not in direct contact with
the patient and not part of the MGT. This also in-
cludes other clinicians from the same discipline
(higher or lower rank), associated discipline or he-
alth organisation in contact with the clinician in
charge. They can be also from the geriatric disci-
pline and/or internal medicine and share their in-
formation and knowledge in regular clinical con-
ferences or they can be from other departments
and disciplines and are often involved by consul-
tation and/or patient transfer between the discipli-
nes;
Other knowledge actors (group): all other relevant
knowledge actors outside the treating HCOs like
medical societies, quality circles, medical specia-
list publishers, libraries, other hospitals from the
same network (and not involved in the current tre-
atment of the specific patient) etc. This group of
actors could be also labelled as communities of
practice (CoPs) (Wenger, 2000, 229ff.) (Li et al.,
2009, 1ff.).
4.2 Information Objects
Information objects are shared between actors and
groups (see section 4.3 below).
Treatment Information: about current treatment,
can contain diagnosis, treatment decisions, feed-
back from the patient about the progress, results
of shared-decision, etc.;
Context information: disease and behaviour rela-
ted self-experiences (e.g. on procedures, medica-
tions), information about suitable contacts (speci-
alised hospitals, physicians, disease-related sup-
port groups etc.);
Patient‘s context information: health behaviour in
the past, information on domestic and social envi-
ronment;
Clinical context information: laboratory fin-
dings, electroencephalography (EEG), electrocar-
diography (ECG), medical imaging, other infor-
mation which is provided by specialised depart-
ments;
Medical context information: medical back-
ground information, latest research results, clini-
cal guidelines.
4.3 Actor-information Relations
The possible information relations are listed and ex-
plained below:
Patient - MGT - Treatment Information: this is
the main information relation in the geriatric treat-
ment process. All necessary treatment from invol-
ved professions (clinician, care, therapists, social
service) about the patient’s health status is resu-
med here;
Patient - Other patients - Context information: this
information relation contains all disease-related
information, but also experience-related informa-
tion like information from other patients being tre-
ated by the same HCOs or even the same clinician;
Patient - Patient‘s Social Environment - Context
information: this relation is comparable to the
previous relation because persons from the pa-
tient’s social environment could be also suffering
from a similar disease in the past or present;
Other patients - Patient‘s Social Environment -
Context information: in this relation other patients
share their experience with the patient’s social en-
vironment. This could be information on how to
act in critical disease-related questions;
MGT - Patient‘s Social Environment - Patient‘s
context information: through this relation infor-
mation about the patient’s situation at home is
shared. Treatment information could also be veri-
fied;
Abstract Information Model for Geriatric Patient Treatment - Actors and Relations in Daily Geriatric Care
225
Figure 3: Geriatric Information Model.
MGT - Other HCOs - Patient‘s context informa-
tion: through this relation information about the
patient’s previous treatments (other hospitals, ge-
neral and specialist physicians), his domestic situ-
ation (in case of care or retirement home, or am-
bulatory care services) is shared;
Patient‘s Social Environment - Other HCOs - Pa-
tient‘s context information: by this information
relation the patient’s social environments shares
patient’ context information with other HCOs like
information on health behaviour in other contexts
(previous disease, behaving in rehabilitation treat-
ments, etc.);
MGT - Other clinical professions - Clinical con-
text information: this relation contains the in-
formation provided by consultations or morning,
lunch or radiological conferences with other spe-
cialist clinicians but also with other professions
like therapists not involved in the formal MGT;
MGT - Other knowledge actors - Medical context
information: MGT members communicate with
other members of their COPs about their current
treatment, they investigate in (online) libraries or
journals.
5 VALIDATION OF GIM
To validate the GIM four typical knowledge processes
are mapped to the model. The mapped knowledge
processes are
Multi-professional Geriatric Team Session
(R
¨
olker-Denker and Hein, 2015, 314f);
Interdisciplinary Clinical Case Conferences
(R
¨
olker-Denker and Hein, 2015, 315);
Tumor boards (R
¨
olker-Denker et al., 2015b, 54);
Transition management (R
¨
olker-Denker et al.,
2015a, ).
5.1 Multi-professional Geriatric Team
Session
The MGT session is the regular meeting of the geria-
tric team 4.1. During this meeting all relevant infor-
mation is discussed:
Treatment information: Feedback from the patient
on the health status is discussed as well as direct
impressions from all persons in contact with the
patient. Information passed towards the patient
is also discussed as well as the further treatment
process;
Patient’s context information: this information is
of very high relevance for the MGT session. This
includes information about the domestic environ-
ment, e.g. how many stairs has the patient to
climb at home, are there any assisting services
or ambulatory care services, unhealthy behaviours
and supply with medication and assisting devices;
Clinical context information: This includes from
other clinical professions like consultation results
from other disciplines, blood values and medical
HEALTHINF 2017 - 10th International Conference on Health Informatics
226
imaging. During the session information which
will be forwarded to other clinical professions is
also discussed, e.g. information for treating sur-
geons;
Medical context information: This includes in-
formation stored in clinical guidelines, e.g. the
guideline on urinary incontinence for geriatric
patients (AWMF (Arbeitsgemeinschaft der Wis-
senschaftlichen Medizinischen Fachgesellschaf-
ten) (engl: Association of the Scientific Medical
Societies in Germany), 2016) but there also many
other guidelines for age-related health issues and
diseases (e.g. clinical nutrition, delirium, Parkin-
son disease, palliative care).
5.2 Interdisciplinary Clinical Case
Conferences
Interdisciplinary clinical case conferences consist of
members from different medical fields, the scope of
these conferences is to discuss complex patient cases
and to derive possible treatments (Feldman, 1999).
The conferences are organised on a regular basis
(R
¨
olker-Denker and Hein, 2015, 315) (R
¨
olker-Denker
et al., 2015b, 54). During these conferences the follo-
wing information is discussed:
Treatment information: The MGT clinicians pre-
sent their treatment information about the patient;
Clinical context information: The other members
of the clinical case conference provide their kno-
wledge about the specific case and discuss with
the inquiring clinicians possible treatment alter-
natives;
Medical context information: other clinical pro-
fessions provide and explain clinical guidelines
the asking clinicians are not aware of.
5.3 Tumor Boards
Tumor boards are similar to clinical case conferences
but focus on oncological diseases and overcome sec-
toral boarders by connecting clinical physicians with
residential physicians and other oncological professi-
ons (R
¨
olker-Denker et al., 2015b, 54). Geriatric on-
cological treatment is also multi- and interprofessio-
nal, includes the patients’ social environment (Mag-
nuson et al., 2016) and even allows patient participa-
tion (Ansmann et al., 2014, 865ff.). Mainly the same
information is discussed as in the clinical case confe-
rence but in addition:
Treatment information: in case of participation
the patient can give information about the health
status and also take part in the decision process on
further treatment;
Patient’ context information: as residential physi-
cians are also part of the clinical case conference
(in terms of ”other HCOs”) they can provide more
context information about the patient as clinical
physicians could.
5.4 Transition Management
The goal of transition management is to ensure an op-
timal patient path through the different interfaces of
cross sectoral care (Huber et al., 2016). Transition
management does not only include communication
between hospitals and downstream health care organi-
sations (releasing a patient into rehabilitation or stati-
onary/ambulatory care), it also includes the communi-
cation between hospitals and upstream health care or-
ganisations (moving patient from stationary care into
hospitals) (Arve et al., 2009).
Medical context information: up to now there is
no national guideline on transition management
by medical societies. But there are several local
networks that develop such guidelines and make
them publicly available;
Patient’s context information: this information is
shared along all responsible HCOs and contains
information about further medication, previous
medication, recommendations on health-related
behaviour (nutrition, physical activities, etc.).
6 CONCLUSION AND OUTLOOK
6.1 Conclusion
We developed an abstract geriatric information model
(GIM) for the purpose of better understanding the ty-
pical actors of geriatric treatment and the information
relations between them. The GIM was validated by
mapping typical care settings which occur during the
geriatric treatment. It was shown that all processes
could be mapped into the GIM and all defined actors
and information relations within the GIM are of re-
levance. Some knowledge processes are limited to a
subset of actors (e.g. clinical case conferences do not
imply the patient or the patient’s social environment)
whereas other knowledge processes include all actors
and information relations (e.g. the MGT session).
The GIM is not intended to be used for developing
sophisticated clinical information systems like other
approaches, e.g. the HL7 Clinical Information Mo-
deling Initiative (CIMI) (HL7 Clinical Information
Abstract Information Model for Geriatric Patient Treatment - Actors and Relations in Daily Geriatric Care
227
Modeling Initiative, 2016). The purpose of CIMI is to
develop interoperable healthcare systems on a techni-
cal basis. The focus is not on the communication bet-
ween persons involved in the geriatric treatment. Ne-
vertheless links to this work are mandatory in future
work because geriatric treatment is cross-sectoral 3.4
and includes data and information from different IT
systems.
6.2 Outlook
The GIM was only validated with four typical know-
ledge processes in geriatric treatment. Referring to
previous studies of the authors (R
¨
olker-Denker and
Hein, 2015) (R
¨
olker-Denker et al., 2015b) there are
more knowledge processes to be mapped towards the
GIM.
The approach of HQ and low quality information
was not included in the GIM so far. There have been
no dedicated studies on the information quality in
daily geriatric treatment so far and, for thus, there are
no validated results available. There are studies for
general information quality, e.g. analyse the impact
of internet health information (Laugesen et al., 2015)
but there are no dedicated studies in the geriatric con-
text.
The GIM can be also used for identifying gaps in
the IT landscape (Snyder et al., 2011). Healthcare
organisations can check all the actor-relation-couples
and see if there are gaps.
ACKNOWLEDGEMENTS
The authors would like to thank the Metropolregion
Bremen-Oldenburg (reference number: 23-03-13) for
partly supporting this work.
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