Current Care Delivery Model must be adapted
to address Healthy Aging challenges

Measure Health (Not Illness)

Go FROM curative care focused on diseases TO preventive personalized care focused on persons’ functional ability

Move Outside the '4 Walls'

Go FROM synchronous care delivery within the point-of-care TO distributed care services enabling aging-in-place

Trace Care Pathways

Go FROM fragmented care service delivery TO traceable processes supporting the continuum of care pathways

Intervene Earlier

Go FROM reactive responses to acute episodes TO proactive interventions supporting at-risk populations

Decide Together

Go FROM siloed and informal decision-making TO shared decision-making supporting joint accountability

Interface Datasets

Go FROM non-interoperable Health & Social related data sets TO interoperable data hubs

OLYST makes preventive Integrated Care implementable and scalable

The transformation of the current healthcare model requires integrated care interventions capable of putting more emphasis on preventive actions throughout distributed service delivery processes. To achieve that, care workers need a novel person-centred & integrated care model - as advocated by the UN Decade of Healthy Ageing 2021-2030.

Our predictive analytics services help HEALTH and SOCIAL care providers work together to detect, predict, prevent declines in functional ability of older persons (>60).

Our platform accounts for and traces the continuity between early diagnosis and integrated interventions performed daily by distributed Primary care providers. Multicomponent teams have therefore access to a library of (cross-organisational) decision-making protocols and dashboards – enabling the implementation of Outcome-based care delivery processes that are more clinically effective and cost-efficient.

Outcomes: Care workers are able intervene earlier, before dependency becomes irreversible

Integrated teams are able to collect Health and Social related data – including Social Determinants of Health (SDoH)

Heterogeneous data sets are ingested & stored securely

Teams are able to formalise a cohort view of at-risk aging population

Outcomes: Older persons obtain better integrated care where they live

Machine readable data sets can be curated and matched to better represent integrated care interventions across organisational boundaries

Patterns of disruption of care delivery services can be traced and predicted

Interventions can be secured through contextualised protocols and person-centred recommendations

Outcomes: Stakeholders obtain shared evidence about impact of integrated care interventions

Metrics about into network integration across multiple points of Health and Social care facilitate the adoption of Outcome-based care delivery processes

Novel remuneration models can be linked to machine readable evidence about at-risk aging population

Resources are can be better utilised through more cost-effective interventions

Ready to get started?

Our team brings 30+ years hands-on experience in implementing industrial predictive maintenance programs through Internet-of-Things platforms. We bet that lessons learned in more mature verticals can speed up the organisational changes required to address the healthcare preventive care challenges.

We are currently assembling a HORIZON EUROPE Consortium involving leading European hospitals, Primary care teams, Academic laboratories and Start-ups. Contact us if you are interested in being involved in such initiative.