Templates FAQ

  1. Does PATCHS have a set of pre-built questionnaires and templates? Yes. ’Standard’ message templates are available here: https://help.patchs.ai/hc/en-gb/articles/360062431593
  2. Can I build my own questionnaires that code back into the clinical system? Yes. This article (with associated links) will show you how: https://help.patchs.ai/hc/en-gb/articles/4409021223831-Message-templates
  3. Can Snomed codes be associated with the questionnaires and coded back into the clinical system? Yes
  4. Where do templates go once completed by the patient? Templates are sent to the clinical system, adding associated SNOMED codes as well as the free-text questions and answers. There is no time limit for the patient to complete them but a reminder is sent to the patient asking for them to be completed at a frequency set by the practice. If the template is not completed, the message remains in the awaiting response inbox until completed by the patient, closed by a member of staff, or auto completed. The practice can set the auto-completion time.
  5. Can templates be sent in bulk? This is scheduled for release in January 2023
  6. Are there clinical governance procedures for templates? All pre-built templates are approved by our clinical safety team, which includes practising GPs and other health care professionals. Custom templates developed by practices will need to be reviewed under their own clinical governance procedures.
  7. Can existing templates created by the practice with other online consultation systems be migrated into PATCHS? Yes, we could migrate them to PATCHS. Please contact the support desk.
  8. Does the Artificial Intelligence send questionnaires to patients automatically based on responses and could it ever be sent inappropriately? Yes. The questionnaires are shown to patients whilst they are submitting their request. If the patient does not feel the questionnaire is appropriate, they can choose to skip completing it. Once the request arrives at the practice, staff can also reply to the patient with relevant questionnaires to complete, should the AI have not assigned one or the patient chose not to complete it. This information is used to evaluate the effectiveness of the AI and to help it learn and improve.