Elective Recovery

• Create a clinical validation pathway with the Speciality clinical
  leads using our applications.

• Take the waiting list data per speciality and use our AI
  analytics and clinical decision engine in autonomous mode
  to clinically validate all patients.

• Our decision engine will follow the clinical pathway on all
  patient data, including evidence-based guidelines, local
  protocols and provide the patient pathway status – i.e.,
  treatment recommendation based on the clinical pathway,
  patients’ individual data and local and national guidance
  including risk stratification of patients.

• The decision process is fully auditable and full decision
  making is recorded including the reasoning.  

• A log of all clinical validations by patient and decision can be
  provided to a clinician for final sign off, if required.

• Design the optimum patient pathway to clear and maintain
  your waiting lists, in the most efficient and clinically safest way
  based on the patient data. 

• Proposed pathways are designed in our application. Every
  step of the pathway is created including all tasks and scoped
  to include, cost, clinical outcomes, time to treatment and
  resource needed.

• Simulate the pathway using the patient data set, our engine
  can run large numbers of permutations of the pathways
  over the waiting list data and classify the performance of the
  pathway doing before-after comparisons. 

• Gives areas of optimisations throughout the pathway,
  demonstrating, time, clinical outcomes, cost, and resource 

• Analyse the chosen pathways against the waiting list data to
  identify gaps and modifications and optimisation to support
  waiting list clearance, maintain clinical quality, costs, and
  resource.

• Gives the ability to redesign care pathways using patient data,
  introduce and test new innovations on the patient dataset
  using the latest clinical guidance and evidence, full data
  driven decision making. 

• Deontics have an advanced 3rd generation clinical decision
  support that can be used on the front line to support care
  delivery

• There are various use cases where this can be deployed, from
  triage right through to treatment, in particular supporting
  task shifting, example junior members of staff can step up and
  run clinics supported by our application using evidence-based
  guidance, local protocols based on the patients’ individual
  data

• High throughput areas – outpatients decision support
  including diagnostics, treatment decisions, pre-op, post-op,
  discharge and follow up.