diabetes
Let an agent explain diabetes in general terms, prioritise emergencies such as severe hypoglycaemia and diabetic ketoacidosis, and point to clinical care and support, without diagnosis or personal treatment advice.
Bundle → Layer → Finding → Questions Filled
4 bundles · 8 layers · 8 findings · 16 questions
Emergency Urgent signs.
Hypoglycaemia
Low glucose.
Hypoglycaemia
Severe hypoglycaemia.
- Is someone with diabetes confused, unconscious or unable to swallow? boundary
- Which emergency number should be called now? action
Ketoacidosis
Very high glucose.
Ketoacidosis
Diabetic ketoacidosis.
- Are there signs such as vomiting, rapid breathing or drowsiness in someone with diabetes? boundary
- Which urgent service should be contacted? action
Care Clinical care.
Diagnosis
Testing.
Diagnosis
Diagnosis.
- Is the user asking the agent to diagnose or adjust treatment? boundary
- How should they contact their clinician or diabetes team? action
Education
Structured programmes.
Education
Diabetes education.
- Which structured education programmes exist here? provenance
- How can someone join? action
Living Daily life.
Support
Organisations.
Support
Support organisations.
- Which diabetes organisations offer support and helplines? provenance
- Is there support for eating distress related to insulin? provenance
Rights
Work, school, driving.
Rights
Rights and rules.
- What rules apply to driving, work or school with diabetes? provenance
- Which authority must be told? provenance
Prevention Risk.
Screening
Risk checks.
Screening
Screening.
- What screening or risk checks do health services offer? provenance
- Who is eligible? provenance
Language
Stigma.
Language
Respectful language.
- Does the language avoid blame and stigma? boundary
- Is it person-first? boundary
Classifiers Filled
- Family
- Thing Registry
- Category
- Information and virtual systems
- Entry kind
- thing
- Plane
- INF
- Domain
- INF.KNW
- Other names and narrower kinds
- Donohue syndrome, congenital generalized lipodystrophy type 4, Grinspan's syndrome, diabulimia, Rabson–Mendenhall syndrome, insulin resistance, diabetes mellitus,insulin dependent type with hyperosmolarity, Wolfram-like syndrome, diabetic ketoacidosis, steroid diabetes, Insulin-resistance syndrome type A, Insulin-resistance syndrome type B
What it is Filled
A group of metabolic conditions characterised by high blood glucose due to problems with insulin production or action, mainly type 1, type 2 and gestational diabetes, plus rarer genetic forms; managed with lifestyle, medicines and insulin under clinical care.
Why it exists Filled
Let an agent explain diabetes in general terms, prioritise emergencies such as severe hypoglycaemia and diabetic ketoacidosis, and point to clinical care and support, without diagnosis or personal treatment advice.
Distinguishing features Filled
- High blood glucose
- Insulin-related
- Long-term management
- Emergencies possible
What robots and AI may and may not do Filled
Must not
- Change or recommend insulin or medication doses in place of a clinician.
- Promote diets or supplements as cures for diabetes.
- Disclose a person's diagnosis to employers, insurers or others without consent.
- Stigmatise people with diabetes as responsible for their condition.
Only with a human decision
- Responding to signs of very high or low blood glucose, which may need emergency care.
May
- Give general, sourced information on diabetes types, management and complications.
- Help a person log glucose readings and reminders they choose to share.
Moral aspects Filled
- Dosing errors can be life-threatening.
- Blaming people for diabetes adds stigma and ignores genetic and social causes.
Who is affected
- People with diabetes
- Families and carers
- Clinicians
Owners Filled
Steward
The patient manages it with their care team; health systems hold the records.
Master systems
- Diabetes registries
Links to other meta-models Filled
parent
- Q18553586 - registry parent class
- Q18556224 - registry parent class
related
- glucose metabolism disease - category
- insulin - hormone
- diabetes care team - care
- metabolic disease - category
What else AI and robots need to interact with it Filled
Identity and identifiers required Filled
- Vercy registry: vr.tr.diabetes
- Wikidata: Q12206 (https://www.wikidata.org/wiki/Q12206)
- ICD-11: 5A10-5A14 diabetes mellitus
Direct properties not applicable Not applicable
Not applicable
Plane INF: no invented physical properties.
Recognition optional Filled
- Type 1, type 2, gestational
- HbA1c and glucose tests
- Diabetes insipidus is a different condition
- Not visible in itself; signs may include thirst, frequent urination and tiredness.
Capabilities and actions required Filled
- recognise diabetes emergencies
- find reliable information and education
- find support organisations
- understand screening and risk in general terms
Hazards and failure modes required Filled
- Missing hypoglycaemia or ketoacidosis
- Agents adjusting medication doses
- Stigmatising language
Standards and interfaces required Filled
- Clinical guidelines such as ADA and NICE
- Driving licence rules for diabetes
Context of use required Filled
- A common long-term condition needing reliable information and support.
- type 1 diabetes
- type 2 diabetes
- gestational diabetes
- monogenic and rare forms
- insulin resistance (related)
Sources Filled
- Wikidata item Q12206: diabetes - identity and sense of the item
- Wikipedia: Diabetes - general description of the item
Open questions
- Should diabetes types be separate entries?
- How should support be localised?
- How should alias lists be curated?
Machine files
Provenance
thing registry research (pass 2) · unreviewed
Built from: models/things/publications/thing-q12206/spec.json