Glossary of health informatics terms

Glossary of health informatics terms

Algorithm-A process for carrying out a complex task broken Confidentiality (protecting privacy)-The policies restricting
down into simple decision and action steps. Often assists the access to a person’s data to those whom the patient agrees need
requirements analysis process carried out before programming. access to it, except rarely in emergency and for the public good
Bioinformatics-The use of health informatics methods to aid or (e.g. to contain epidemics, allow important research to be under-
facilitate research in molecular biology. taken or solve serious crime). In addition, other regulatory and
Checklist-A type of clinical decision tool: A form listing one or institutional approval may be needed (e.g. the need to seek con-
more items of patient data to be collected before, during or after sent from medical ethics committees or relevant national
an encounter; can be paper or computer based. authorities). In recent years, leading public health researchers
Clinical coding system (clinical thesaurus, controlled have warned that legislation enacted to protect patients’ medical
vocabulary)-A limited list of preferred terms from which the data in the UK, Europe and US could potentially hamper obser-
user can draw one or more to express a concept such as patient vational research and medical record linkage studies.5 6
data, a disease or drug name, etc. An alphanumeric code Consumer health informatics-The use of health informatics
corresponding to the term is then stored by the computer. Syno- methods to facilitate the study and development of paper and
nyms or close matches to each preferred term are usually also electronic systems which support public access to and the use of
available and map onto the same internal codes. This approach health and lifestyle information. For additional discussion on the
makes it easier for a computer to analyse data than the use of scope of consumer health informatics, see Eysenbach.7 See also
free text words or phrases. Examples of clinical coding systems eHealth.
include SNOMED-CT (divergent codes used to capture patient Data quality-The degree to which data items are accurate, com-
data), MeSH (terms used to index biomedical literature) and plete, relevant, timely, sufficiently detailed, appropriately
ICD-10 (convergent codes for international comparisons, with represented (e.g. consistently coded using a clinical coding system)
specific rules to guide coders). Clinical coding systems play a key and retain sufficient contextual information to support decision
role in epidemiological studies and health service research, from making.
the use of MeSH terms to conduct literature searches for system- Database-A collection of data in machine readable format
atic reviews to numerous studies which use ICD codes to classify organised so that it can be retrieved or processed automatically
and compare diseases. To prevent information loss, it is vital that by computer. A flat file database is organised like a card file, with
the terms and codes are never changed or dropped, only added many records (cards) each including one or more fields (data
to. Obsolete terms can be marked as such to deter inappropriate items). A relational database is organised as one or more related
use. Continuing maintenance is needed to incorporate new tables, each containing columns and rows. Data are organised in
terms and codes for new concepts and new synonyms as they a database according to a schema or data model; some items are
arise. often coded using a clinical coding system.
Clinical data system-Any information system concerned with Decision support system (computer decision aid)-A type of
the capture, processing or communication of patient data.1 clinical decision tool: a computer system that uses two or more
Clinical decision tool-Any mechanical, paper or electronic aid items of patient data to generate case or encounter-specific
that collects data from an individual patient to generate output advice.8 Examples include computer risk assessors to estimate
that aids clinical decisions during the doctor-patient encounter.2 cardiovascular disease risk9 and the Leeds Acute Abdominal
Examples include decision support systems, paper or computer Pain system, which aids the diagnosis of conditions causing such
reminders and checklists, which are potentially useful tools in public pain.10 Evidence-adaptive decision support systems are a type of
health informatics, as well as other branches of health informatics. decision aid with a knowledge base that is constructed from and
Clinical information-Organised patient data or clinical knowledge continually adapts to new research- and practice-based
used to make clinical decisions (adapted from Shortliffe et al3); evidence.11
may also include directory information. Many activities in public Decision tree-A way to model a complex decision process as a
health and epidemiology (e.g. surveillance systems, cohort stud- tree with branches representing all possible intermediate states
ies to assess the effects of a risk factor of disease and clinical tri- or final outcomes of an event. The probabilities of each interme-
als to estimate efficacies of new treatments) involve the diate state or final outcome and the perceived utilities of each are
organisation of such data (e.g. case report forms for individual combined to attach expected utilities to each outcome. The
patients) into useable information (e.g. incidence of notifiable science of drawing decision trees and assessing utilities is called
cases of disease from surveillance programmes and summary decision analysis.
evidence from cohort studies or clinical trials, expressed as odds Directory information-Information specific to an organisation or
ratios for certain harmful and beneficial outcomes). See also: service which is useful in managing public health services, health
information. care services or patients. Examples include a phone directory, a
Clinical informatics-The use of health informatics methods to aid lab handbook listing available tests and tubes to use, and a list of
management of patients, employing an interdisciplinary the drugs in the local formulary.
approach, including the clinical and information sciences.3 eHealth-The use of internet technology by the public, health
Communication-The exchange of information between agents workers and others to access health and lifestyle information,
(human or automated) face to face or using paper or electronic services and support; it encompasses telemedicine, telecare etc. For
media.4 Requires the use of a shared language and understand- in-depth discussion on the scope and security issues of eHealth,
ing or common ground. see a report by the National HealthKey Collaborative.12
Computer vision (image interpretation)-The use of computer Electronic health record (EHR)-In the UK, the lifelong
techniques to assist the interpretation of images, such as summary of a person’s health episodes, assembled from summa-
mammograms. ries of individual electronic patient records and other relevant data.13

Electronic patient record (EPR)-A computer-based clinical data actually used by the physician. This entails clinical practices inno-
system designed to replace paper patient records. vation24 or narrowing the gap between what we know and what
Evaluating health information systems: Measuring or describ- we do. The NHS is developing a programme of knowledge codi-
ing the key characteristics of an information system, such as its fication to inform routine problem solving, e.g. through the
quality, usability, accuracy, clinical impact or cost effectiveness.14 National Electronic Library of Health, guidelines from the
Generally, information systems can be evaluated using standard National Institute of Clinical Excellence (NICE), and care
health technology assessment methods. pathways and triage algorithms used in the NHS Direct Clinical
Explicit knowledge-Knowledge that can be communicated on Advice System.25
paper or electronically, without person-to-person contact.15 Medical knowledge (clinical knowledge)-Information about dis-
Health workers and physicians cannot use explicit knowledge if eases, therapies, interpretation of lab tests etc., and potentially
they cannot access it. There is thus a need to identify, capture, applicable to decisions about multiple patients and public health
index and make available explicit knowledge to professionals, a policies, unlike patient data. This information should where pos-
process called codification. Much of the work done by the sible be based on sound evidence from clinical and
Cochrane Collaboration involves codification of explicit epidemiological studies, using valid and reliable methods. See
knowledge. See also: tacit knowledge. also: explicit knowledge, tacit knowledge, knowledge management.
Geographical information system (GIS)-Computer software Minimum data set-A list of the names, definitions and sources of
which captures, stores, processes and displays location as well as data items needed to support a specific purpose, such as surveil-
other data. The display may preserve distance ratios between lance of the health of a community, investigation of a research
data objects (e.g. true scale maps) or link similar objects, ignoring hypothesis or monitoring the quality of care in a registry.
distance (e.g. topological maps such as that distributed to the Patient data-Information about an individual patient and poten-
public for the London Underground). GIS software is used in tially relevant to decisions about her current or future health or
many ecological studies of disease. A famous example is Peto’s illness. Patient data should be collected using methods that mini-
study of diet, mortality and lifestyle in rural China.16 Disease mise systematic and random error. See also: medical knowledge.
mapping studies have also been conducted to assess childhood Public health informatics-the use of health informatics methods
leukaemia in areas with different radon levels,17 the clustering of to promote “public health practice, research and learning”,
respiratory cancer cases in areas with a steel foundry18 and socio-
employing an interdisciplinary approach, including the public
economic gradients in infant mortality.19 GISs are also used for
health sciences, e.g. epidemiology and health services research,
public health planning and surveillance purposes at local or
and the information sciences, e.g. computing science and
national health departments. Care should be taken by policy
technology (adapted from Yasnoff et al26). In a recent paper out-
makers in interpreting maps produced by GIS software, particu-
lining an agenda for developing this branch of informatics,
larly in regard to the ecologic fallacy.20
Yasnoff et al27 argued for the need to construct, implement and
Health informatics (medical informatics)-The study and appli-
integrate public health surveillance systems at national and local
cation of methods to improve the management of patient data,
levels, to enable rapid identification and response to disease
medical knowledge, population data and other information relevant
hotspots (and more topically, bioterrorism). As Yasnoff rightly
to patient care and community health. Unlike some other defini-
points out, methods of assessing costs and benefits of such
tions of health or medical informatics (e.g. Greenes and
systems are needed. Public health informatics can also contribute
Shortliffe21), this definition puts the emphasis on information
in other areas, e.g. reminders have played an important role in
management rather than technology. Branches of health
prevention programmes such as smoking cessation advice to
informatics include bioinformatics, clinical informatics, consumer
health informatics and public health informatics. smokers28 and the use of preventive care for patients.29
Information-Organised data or knowledge used by human and Registry -A database and associated applications which collects a
computer agents to reduce uncertainty, take decisions and guide minimum data set on a specified group of patients (often those
actions (adapted from Shortliffe et al3 and Wyatt22). See also: with a certain disease or who have undergone a specific
clinical information, patient data, medical knowledge. procedure), health professionals, organisations or even clinical
Information design-The science and practice of designing trials. Registries can be used to explore and improve the quality
forms, reports, books etc. so that the information they contain can of care or to support research, for example to monitor long term
be found rapidly and interpreted without error (adapted from outcomes or rare complications of procedures. Key issues in reg-
Sless23). Information design is based on psychological and istries are maintaining confidentiality, coverage of the target
graphical design theories and a large number of empirical stud- population and data quality.
ies of human perception and decision making using alternative Reminder-A type of clinical decision tool which reminds a doctor
formats for information. about some item of patient data or clinical knowledge relevant to an
Knowledge base-A store of knowledge which is represented individual patient that they would be expected to know. Can be
explicitly so that a computer can search and reason with it auto- paper- or computer-based; includes checklists, sticky labels on
matically; often uses a clinical coding system to label the concepts. front of notes, an extract from a guideline placed inside notes or
See also decision support system. computer-based alerts. There has been much interest in remind-
Knowledge based system (expert system)-A computer decision ers as an innovation method recently because of the poor uptake of
support system with an explicit knowledge base and separate practice guidelines, even those based on good quality evidence.
reasoner program which uses this to give advice or interpret An example is in the treatment of dyslipidaemia in primary care,
data, often patient data. where there is a big gap between recommendations and actual
Knowledge management-The identification, mobilisation and practice.30
use of knowledge to improve decisions and actions. In public Requirements analysis-The process of understanding and cap-
health and medicine, much of this work involves the turing user needs, skills, and wishes before developing an infor-
management of medical knowledge (from epidemiological studies, mation system (adapted from Somerville31). See software
randomised-controlled trials and systematic reviews) so that it is engineering.

Security-The technical methods by which confidentiality is Telecare-A kind of telemedicine with the patient located in the
achieved.12 community (e.g. their own home); see also eHealth.
Software engineering-The process of system development, Telemedicine-The use of any electronic medium to mediate or
documentation, implementation and upgrading (adapted from augment clinical consultations. Telemedicine can be simultaneous
Somerville31). In the classical or “waterfall” model of software (e.g. telephone, videoconference) or store and forward (e.g. an
engineering, requirements analysis leads to a document which email with an attached image).
serves as the basis for a system specification and database schema,
Additional resources: Readers who are interested in general
from which programmers work to develop the software.
coverage of the field of health informatics are encouraged to
However, increasingly, users and software designers work
refer to standard texts.32 33 Those who are interested in alternative
together from the start to develop and refine a prototype system.
This helps to engage the users, educate the software or complementary definitions of the above terms can look up
development team, brings the requirements documents alive various sources.3 4 34–36
and allows users to explore how their requirements might Notes to the list of concepts:
change due to interaction with the new software. Italic means “see also”
Tacit knowledge (intuition)-Knowledge that requires person-to- Synonyms are mentioned in brackets, after the core term
person contact to transfer and cannot be communicated on paper AcknowledgementJoe Liu, Centre for Statistics in Medicine, Oxford contributed
or electronically.15–25 Over time, some tacit knowledge can be ana- many definitions to an earlier version of this glossary and Ameen Abu Hanna,
lysed, decomposed and made explicit. See also: explicit knowledge. KIK, AMC Amsterdam provided useful comments.

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2001:749-820. institutional priority. JAMA 1990;263:1114-20.
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BMJ 1999;319:1366. Royal Society of Medicine 2000;93:299-304.
7 Eysenbach G. Consumer health informatics. BMJ 2000;320:1713-6. 25 Wyatt JC. Clinical knowledge and practice in the information age: a handbook for
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Glossary of health informatics terms

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