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MWIQ - AI-powered decision support tool for diabetes clinicians

MyWay IQ (MWIQ) - safety and efficacy testing of a diagnosis and precision medicine tool for diabetes management

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN17422256
Enrollment
19
Registered
2022-01-27
Start date
2024-01-08
Completion date
Unknown
Last updated
2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Nutritional, Metabolic, Endocrine Diabetes mellitus

Interventions

Current interventions as of 18/05/2023: This feasibility investigation will determine whether an AI-powered clinical decision support tool for diabetes is (a) safe
(b) usable
(c) alters clinician prescribing or diagnostic behaviour and (d) leads to any changes in metabolic outcomes for patients under the care of clinicians using the tool. This qualitative evaluation will a
examine data relating to clinician behaviour
and analyse routinely-collected clinical patient data. 1. Qualitative evaluation of usability/engagement and safety of MWIQ (online questionnaires, qualitative interviews, system logs, navigation dat
and analyse routinely-collected clinical patient data. 1. Qualitative evaluation of usability/engagement and safety of MDIQ (online questionnaires, qualitative interviews, system logs, navigation dat

Sponsors

MyWay Digital Health Ltd
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 120 Years

Inclusion criteria

Inclusion criteria: For healthcare professionals (HCPs), the inclusion criteria are: 1. Male or female 2. 18 years or over 3. GPs involved in the care of people with diabetes within Greater Manchester 4. Able to provide informed consent Patient data from four GP practices will be utilised - data will be from patients who are: 1. Male or female 2. Aged 18 years or over 3. Diagnosis of diabetes (any type)

Exclusion criteria

Exclusion criteria: Does not meet the inclusion criteria

Design outcomes

Primary

MeasureTime frame
1. System safety: frequency of user-flagged safety concerns measured using a combination of patient-level questionnaires, weekly questionnaires and unsolicited issues highlighted by participants. Specific measures include: 1.1. Number of risks identified by patient-level questionnaires (interim and cumulative total), expressed as a percentage of the number of patient records reviewed 1.2. Clinical safety score recorded with a weekly questionnaire for each of the MWIQ features (diabetes sub-type predictor, diabetes drug response predictor, and diabetes complications predictor) as well as overall experience. The score will be recorded on a 5-point Likert scale and the distribution of scores will be expressed as a percentage of responses received. 1.3. Clinical plausibility score recorded with a weekly questionnaire for each of the MWIQ features (diabetes sub-type predictor, diabetes drug response predictor, and diabetes complications predictor) as well as overall experience. The score will be recorded on a 5-point Likert scale and the distribution of scores will express as a percentage of responses received. Free text comments will be analysed for emergent themes All outcomes measured at the end of the study period in addition to monthly interim analysis, as part of the Data and Safety Monitoring Board (DSMB) process

Secondary

MeasureTime frame
1. System usability measured using a combination of weekly questionnaires, qualitative data (free text questionnaire comments and semi-structured interviews) and validated questionnaire (system usability scale). Specific measures include: 1.1. Overall ease of use recorded on a 5-point Likert scale. The distribution of scores will be expressed as a percentage of responses received. 1.2. Free text comments and semi-structured interview transcripts will be analysed for emergent themes. 1.3. System Usability Scale to be administered at the end of the study period. 2. System usefulness measured using a combination of weekly questionnaires and qualitative data (free text questionnaire comments and semi-structured interviews). Specific measures include: 2.1. Clinical usefulness score recorded with a weekly questionnaire for each of the MWIQ features (diabetes sub-type predictor, diabetes drug response predictor, and diabetes complications predictor) as well as overall experience. The score will be recorded on a 5-point Likert scale and the distribution of scores will be expressed as a percentage of responses received. 3. System impact measured using a combination of routinely collected clinical data, system navigation data and weekly questionnaire data. Specific measures include: 3.1. Number of patients with the following care processes recorded within the past 12 months: HbA1c, blood pressure (BP), serum cholesterol, serum creatinine, urinary albumin, foot screening, Body Mass Index (BMI) and smoking status. The number of each will be expressed as a percentage of the total number of people with diabetes seen by participants within the study period. 3.2. Number of patients meeting the following treatment targets: HbA1c <58 mmol/mol, blood pressure =140/80 mmHg, cholesterol <5 mmol/l, as well as the number meeting all three targets. The number of each will be expressed as a percentage of the total number of people with diabetes seen by participants within the study

Countries

England, United Kingdom

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Aug 9, 2026