The anticipated benefits of SNOMED CT are derived from use of information to support effective delivery of high quality healthcare to individuals and populations.
Clinically relevant information in an electronic health record acts as an aide-memoire for the clinician, enabling recall of previous interactions.
Structured data entry enhances the value of an electronic health record in various ways. It may:
Clinical applications may combine several data entry methods. Some of the most commonly used methods are as follows:
Data entry may require selection from a list. Such lists must be manageable in size and appropriate to the needs of the user.
When a code is entered in a record it may require structured entry of additional qualifying information.
For example,
The code named removal of kidney may require a statement of laterality.
For example,
The code named hemoglobin measurement may enable entry of a numeric value expressed in a substance concentration.
To meet all the needs for coded structured data entry in a health record, a terminology must have an adequate scope.
A clinical terminology requires frequent changes including new codes, terms, and relationships between codes. Changes may be required due to new:
The presentation of clinical information may:
Interfaces between recorded clinical information and appropriate decision support tools and reference works may assist the clinician in selecting diagnostic tests, making diagnoses, and choosing treatment. Decision support requires selective retrieval and processing of information in an individual health record to determine whether the patient has particular characteristics relevant to the decision support protocol. The algorithms for establishing the presence of characteristics should include relationships between coded meanings and other aspects of record structure. Performance is also important, as decision support algorithms are typically run in real-time during data recording. Decision support algorithms may:
Effective delivery of high quality healthcare to individuals requires communication between those involved in providing care. This requires communication within and across teams or organizations.
The primary objective of many clinical communications is to convey information from human to human. Communications with this purpose should include human-readable text. Relying on text from coded data is not recommended. Coded data is therefore not relevant to the requirement for human-to-human communication.
A receiving application may process clinical communications. This information may need to be retrieved and processed to meet terminology requirements. To meet terminology requirements, messages and other means of electronic communication must permit the communication of SNOMED CT identifiers and associated structures.
Communication specifications, such as those produced by HL7 and CENTC251, define the structures to meet requirements. The coded information is used in two distinct situations:
For example,
HL7 requires that coding schemes meet certain criteria, one of which is the ability to express limited subsets of codes appropriate to particular elements.
There are two situations in which communication of coded information may be of value for human-to-human communication. They are where:
Recording a particular code may trigger a communication. And, receipt of a code, may trigger specific processing in the receiving application.
For example,
Recording a decision to prescribe a medicine might trigger an electronic prescription sent to the pharmacy. Receipt of such a prescription might trigger dispensing and stocking activities.
The relationship of a trigger is an additional characteristic of a code that may be context dependent. |
Patients may wish to view, and comprehend, their own records. For SNOMED CT to meet this requirement, the inclusion of patient-friendly terms should be considered. However, this requirement should not take precedence over accurate professional terminology.
Patients may also be allowed to contribute to their own records, i.e. be users of SNOMED CT.
For example,
Patients with diabetes may monitor and record their blood glucose levels.
The provision of effective high-quality care to populations requires an understanding of the state of health and healthcare needs of that population. Information recorded about individual patients must be available for analysis to determine trends.
Population trends are usually monitored at a higher level, using codes that are more general than those used in individual patient records. This may be accomplished through one or both of the following methods:
Appropriate analysis of information requires reliable and reproducible queries.
The requirements for analysis of quality of service are similar to those for analysis of health needs. The main difference is that the scope of the analysis must be extended to cover consultations, referrals, procedures, medications, and other interventions.
The requirements for research are also similar to those for analysis of health needs, however, there is a need to allow for:
The management and funding of healthcare delivery often depends on recording and reporting of particular information, e.g. bundled or packaged care. Automating this process offers a way of reducing bureaucratic overhead, i.e. mapping clinical information recorded with SNOMED CT to appropriate forms.
Some information required for management and funding purposes is specifically related to claims for particular events or services.
For example,
Funding general practitioners in the NHS is dependent on meeting immunization administration and cervical cytology screening targets.
The scope of SNOMED CT must be adequate to meet these needs, or must be capable of extension to meet these needs, without presenting irrelevant terms or coded meanings to those not requiring them.
Organizations, such as WHO and some government bodies, require specific data related to healthcare statistics. Organizations should be able to use clinical information recorded with SNOMED CT. When this is not possible, the clinical information should at least support their manual generation. Using structured data entry allows for direct mapping to statutory national and international classifications such as ICD, CPT, OPC, etc.
Population-based preventive care should be offered to specific groups, based on sex, age, medical history, and other factors. Health information applications based on information recorded with SNOMED CT can be used to identify patients, so they can be offered appropriate care.