The crisis of access to care is part of a reality that has become complex: 73% of French people say they have given up on at least one treatment over the last five years.
This observation reflects a combination of factors: demographic tensions, availability of professionals, fragmentation of pathways and organizational constraints.
In all, one lever often remains underestimated. The way in which information circulates between the actors of the system directly conditions the coordination and fluidity of the journeys.
Without continuity of information, care becomes disorganized. Improving your circulation does not solve everything, but it allows you to more quickly restore coherence and responsiveness to a system under tension.
Part of the tension of the system is played out in the time of circulation of information
Public debate often continues to approach the degradation of the health system from a capacity perspective. This reading remains partial. A significant part of the difficulties also relates to the time required to qualify, share and use information between the different links in the process.
The fact that one in two French people have already gone to the emergency room without a medical emergency is a concrete illustration of this. When guidance, availability of resources or visibility into the patient journey is not accessible at the right time, the pressure naturally shifts to the hospital. Emergencies then also become the indicator of a circulation of information that is still too slow.
Reducing the time between the event, its interpretation and the decision therefore becomes an essential condition for restoring caregivers’ capacity for action.
Making data in motion the basis of more fluid and predictive health
The paradigm shift consists of considering data no longer as a stock to be consolidated, but as a flow to be continuously activated. Its value lies in its ability to inform a decision at the precise moment when a clinical, logistical or technical decision must be made.
This approach makes it possible to detect changes in a patient’s condition earlier, to anticipate tensions on a service, to better distribute available capacities or even to prevent equipment failure. The benefit is above all organizational: it restores fluidity where the system still too often suffers from breakdowns in coordination.
It is also on this basis that truly useful uses of artificial intelligence can be developed, provided that the models are based on fresh, reliable and contextualized information.
The performance of the health system will depend on its ability to instantly connect clinical events, operational constraints and field decisions. It is on this condition that it will be able to move from a logic of reaction to a logic of anticipation and sustainably support professionals through enhanced decision-making.
