Health Informatics — Requirements for a knowledge base for clinical decision support systems to be used in medication-related processes

This document specifies the requirements for developing a knowledge base for drug-related problems that cohere with the intended drug use, to be used in rule-based clinical decision support systems (CDSS), such as the criteria for selecting a raw data source and the quality criteria for the development and maintenance for the rules or clinical rules for drug safety. It also describes the process of how to develop a knowledge base, the topics to be considered by the developers of a knowledge base, and it gives guidance on how to do this. This document gives guidelines for the development of a knowledge base: — with rules to enhance decisions and actions in drug-related problems that cohere with the intended drug use; — which can be used by all kinds of healthcare professionals, such as those who prescribe, dispense, administer or monitor medicines; — which can be used in every care setting, including chronic and acute care, primary and specialized care; — which is a repository of evidence/practice bases rules, assessed by experts; — which is meant to be used in conjunction with a medicinal product dictionary; — whose knowledge is structured in rules and therefore to be used in the type of rule-based CDSS. This document does not: — describe the exact content of a knowledge base i.e. the outcome of the process of developing rules. — provide the requirements for a clinical decision support system, the software that uses the knowledge base combined with the patient's data, and presents the outcome of the rules to the healthcare professional. These requirements are described in ISO/DTS 22703[1]. — give the requirements for non-medication knowledge bases. Some aspects of the requirements in this document are general in nature and applicable to other kinds of knowledge bases, but this document does not address all of the requirements of non-medication knowledge bases. [1] Under preparation. Stage at the time of publication: ISO/DTS 22703.

Informatique de santé — Exigences relatives aux bases de connaissances pour systèmes d’aide à la décision clinique à utiliser dans le cadre des processus liés aux médicaments

General Information

Status
Published
Publication Date
20-Sep-2020
Current Stage
9093 - International Standard confirmed
Start Date
05-Jun-2024
Completion Date
19-Apr-2025
Ref Project
Technical specification
ISO/TS 22756:2020 - Health Informatics -- Requirements for a knowledge base for clinical decision support systems to be used in medication-related processes
English language
31 pages
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Standards Content (Sample)


TECHNICAL ISO/TS
SPECIFICATION 22756
First edition
2020-09
Health Informatics — Requirements
for a knowledge base for clinical
decision support systems to be used in
medication-related processes
Informatique de santé — Exigences relatives aux bases de
connaissances pour systèmes d’aide à la décision clinique à utiliser
dans le cadre des processus liés aux médicaments
Reference number
©
ISO 2020
© ISO 2020
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ii © ISO 2020 – All rights reserved

Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 2
4 Abbreviations. 4
5 Positioning of a CDS knowledge base . 5
5.1 Knowledge in healthcare . 5
5.2 Knowledge for drug-related problems that cohere with the intended drug use . 5
5.3 The structure of the knowledge . 6
5.4 Knowledge base in relation to the healthcare information system . 7
5.4.1 Introduction . 7
5.4.2 Relation with EHR . . 7
5.4.3 Relation with medicinal product data . 8
5.4.4 Relation with a CDSS . 8
6 Requirements for the development of a knowledge base . 8
6.1 Introduction . 8
6.2 The governance of a knowledge base . 8
6.3 Structure of the rules . 9
6.4 Scoping of the knowledge base content . 9
6.5 Evidence for the rules . 9
6.6 Medicinal product data used in the rules .10
6.6.1 Medicinal product dictionary .10
6.6.2 IDMP .10
6.6.3 Interface with an MPD or with IDMP .11
6.7 Dosage data used in the rules .11
6.8 Patient data variables used in the rules .12
6.8.1 Introduction .12
6.8.2 Interface with the EHR .12
6.9 Right information at the right time .13
6.10 Quality of the rules .13
6.11 Relation with a CDSS .14
6.12 Maintenance .14
Annex A (normative) Identifying IDMP fields in relation to a knowledge base .16
Annex B (informative) Example of a knowledge base rule .25
Bibliography .30
Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
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ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of
electrotechnical standardization.
The procedures used to develop this document and those intended for its further maintenance are
described in the ISO/IEC Directives, Part 1. In particular, the different approval criteria needed for the
different types of ISO documents should be noted. This document was drafted in accordance with the
editorial rules of the ISO/IEC Directives, Part 2 (see www .iso .org/ directives).
Attention is drawn to the possibility that some of the elements of this document may be the subject of
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iso/ foreword .html.
This document was prepared by Technical Committee ISO/TC 215, Health Informatics, in collaboration
with the European Committee for Standardization (CEN) Technical Committee CEN/TC 251, Health
informatics, in accordance with the Agreement on technical cooperation between ISO and CEN (Vienna
Agreement).
Any feedback or questions on this document should be directed to the user’s national standards body. A
complete listing of these bodies can be found at www .iso .org/ members .html.
iv © ISO 2020 – All rights reserved

Introduction
0.1  Safe and effective usage of medicines is important
When a patient gets his/her medicines prescribed and dispensed, it is not only important that the
patient gets the correct medicine and that ordering and reimbursement is supported by using a
Medicinal Product Dictionary (MPD), but it is also important that the medicine is safe and effective with
respect to the specific situation of the patient.
Because an MPD contains just the identification of the medicines, it is important that an MPD is enriched
with clinical decision support (CDS). The aim of CDS is to help prescribe and dispense the medicine
that fits the patient’s personal situation in respect of effectiveness and toxicity of the medicine.
Based on a knowledge base combined with the patient's situation such as comedication, comorbidity,
age, laboratory values, diet, allergy, a healthcare professional can be warned for likely side effects or
ineffectiveness, and change the therapy.
0.2  Need for a standardized knowledge base
To achieve the aim described in Clause 0.1, there are several success factors, in literature, referred to as
[28]
the ‘five rights’ :
— The right information: the information should be evidence based and give concrete guidance for action.
— To the right person: the alerts should be presented to the person who is the most likely one to take
action (e.g. the clinician, the pharmacist, the caretakers).
— In the right CDS intervention format: such as an alert, a request to measure certain laboratory
parameters, or an answer to a clinical question.
— Through the right channel: this can be the clinical information system like the pharmacy information
system, or a web-browser that makes available the data of the knowledge base.
— At the right time in workflow: for example, during prescription or dispensing, or in batch at night to
have certain data available the next morning.
To provide the right information, a knowledge base is necessary; and also providing the knowledge to
the right person, the right format and at the right time in the workflow is part of a knowledge base, as far
as it concerns the ‘knowledge’ of it.
There are clinical decision support systems (CDSSs) that provide this knowledge, but Helmons stated
that there are several barriers for implementing a CDSS, one of them being ‘content issues’ like:
‘Typically installed without any validated decision rules, which have to be developed and/or validated
[26]
in each individual institution (also called ‘having to reinvent the wheel’)' .
Therefore, a (technically) validated, standardized knowledge base is the recommended basis for CDS.
The needs for a standardized knowledge base are as follows:
— There is an overwhelming amount of data in the summary of product characteristics (SPC),
guidelines, literature and handbooks. Prescribers, physicians and pharmacists cannot easily find
what to do for a certain drug combination or drug-disease combination. The most relevant data and
accompanying recommendations are curated from literature and put in rules in a knowledge base.
— Information about the availability, safety and efficacy of medication to be used for the prescription
by physicians is often outdated even when the information is available electronically (e.g. in the drug
interaction management system in a doctor's office). Linking the information from the Medicinal
Product Dictionary to a CDSS that uses a validated, standardized knowledge base makes sure that
during prescribing/dispensing up-to-date information is always used.
— While the population is still growing, people become older and have more comorbidity and
polypharmacy, the need for smart knowledge base rules that provide the basis for generating alerts
with a high specificity and sensitivity, is increasing.
— Besides assuring that the most precise and current information is to be used in the knowledge base
for the benefits of the patient, this specification will also provide a basis or 'handles' how to map the
information to the MPD, the IDMP vocabulary and their own local data in EHR and pharmaceutical
domains.
0.3  Focus — A knowledge base for drug-related problems that cohere with the intended drug use
This document is about a standardized knowledge base to be used in medication-related processes. In
the context of
...

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