Medically Unexplained Symptoms - Digital tools and identification system
How can we identify MUS patients with medically unexplained symptoms (MUS) using primary and/or secondary patient information systems and assist in treating along a care pathway.

Ideas (Clinical trials and evidence)

Innovation 'Elevator Pitch':
UK developed patient focused Population Health solution pulls cross sector data (i.e. GP, Acute, Mental health, etc) and performs analytics and intelligent cohort finding that can identify patients with reported unexplained symptoms.  
Overview of Innovation:
ArtemusICS supports a health system to analyse population data and identify specific gaps, health inequalities and unwarranted variations in its population’s health. ArtemusiCS secure web accessed hosted system provides a wide range of tools, dashboards, selection and filtration options to identify and create patient cohorts. ArtemusICS can then further identify costs, utilisation and gaps in care.

Collecting data from Acute, GP, Community, Mental, Social and Ambulance, ArtemusICS provides commissioners and providers with a tool to identify cohorts of patients, and understand the integrated care needs of a population right down to an individual. It contains analytical tools to allow for LTC risk, EOL risk, Frailty, Social isolation, etc to be collated and presented in one picture. It also allows for evaluation of interventions (i.e outcomes) and identification of RoI.

It has a unique attributes based architecture, where all data items are linked to one or more “attributes”, based on their coding (i.e. Snomed, Read, ICD10, etc). Inherently future proof and expandable, it allows us to utilise Machine Learning and AI techniques to drill through large data sets to find correlations and trends in specified data types, such as the symptoms presented in the MUS cohorts.

ArtemusICS operates on three distinct levels:
  • Overview Dashboards: provide whole-population analytics with facilities to filter down to key patient cohorts. A range of Dashboards provides commissioners and clinicians pertinent population count, event counts, service and usage counts and costs; with the facility to then drill through to cohort and patient specific views.
  • Cohort Manager enables the user to review sub-lists of patients, caseload management groups or individual patients against a range of detailed views including conditions, events, measures, timelines and management lists. Venn diagrams offering cohort comparisons to enable care planners and clinicians to pin-point a specific cohort with a specific set of attributes for intervention and care management.
  • Patient view provides a range of views specific to patient conditions, medications, diagnosis, events and measures, supporting the clinical user to improve diagnosis and plan care.
In addition, our remote monitoring technology can also collect surveys such as PHQ,GAD7, HADs etc
Stage of Development:
Market ready and adopted - Fully proven, commercially deployable, market ready and already adopted in some areas (in a different region or sector)
WMAHSN priorities and themes addressed: 
Mental Health: recovery, crisis and prevention / Long term conditions: a whole system, person-centred approach / Advanced diagnostics, genomics and precision medicine / Wellness and prevention of illness / Wealth creation / Clinical trials and evidence / Digital health / Innovation and adoption / Patient and medicines safety / Person centred care
Benefit to NHS:
ArtemusICS currently identifies all patients with a mental health condition, including those with unexplained medical symptoms; this achieved by the use of Read, SNOMED and ICD10 codes.   Through the development of artificial intelligence and the use of inferential statistics, we would be able to provide rich case finding and provide greater insight in the nature of the specific problem associated with the patients.
Repeat admissions, vague multiple comorbidities and results of screening are all available in the ArtemusICS database and could inform the AI development. Using the ArtemusICS impactability management module, commissioners will be able to assess adherence to care pathways and also monitor the impact of the given interventions.
As patients with medically unexplained symptoms are often seen in multiple care and social settings, ArtemusICS would create and provide a clear picture of all the cross sector activities associated with the patients in order to develop bespoke interventions.
This affords both primary (and potentially) secondary care clinicians the opportunity to introduce patients to a specific MUS care pathway that will deal with the specific requirements of MUS in a timely manner that will prevent the condition becoming chronic.  Effective stratification of patients could aid in a reduction in need for acute secondary care outpatients, reducing unnecessary healthcare costs and freeing up resources.
Online Discussion Rating
6.00 (2 ratings)
Initial Review Rating
4.20 (1 ratings)
Benefit to WM population:
As for the health system above
Current and planned activity: 
Docobo are continuously adding additional functionality to its solutions, usually to meet the requests from our NHS customers or our own staff
The uniqueness of ArtemusICS is that Docobo fully owns and controls all of the product. It is not a 3rd party product that we sell, like many others, so we can easily add functionality and are not at the mercy of the overseas priorities of a 3rd party product
What is the intellectual property status of your innovation?:
Fully owned by Docobo
Return on Investment (£ Value): 
Return on Investment (Timescale): 
0-6 mon
Ease of scalability: 
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Adrian 23/05/2018 - 19:42 Sign Posted Login or Register to post comments

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Machine Learning system for Early Automatic Identification of MUS has been moved from Initial Submission to Publish 1 year 2 months ago
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ArtemusICS has been moved from Initial Submission to Publish 1 year 2 months ago

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