Patient care and medical deserts

Workshop

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Location 48 Boulevard Jourdan, 75014 Paris, France

Location R1-15

Presence On site

Hourly

The Paris School of Economics is pleased to invite you to a study day organized in the framework of the ANR SAFEPAW project.

Program

09:15-09:30 – Arrival of participants, coffee for first arrivals and time for discussion

09:30-09:45 – Presentation of the ANR Safepaw project, part of the PEPR Digital Health program, and presentation of the different teams, axes and methods

09:45-10:30 – Where You Live Determines the Care You Get: Spatial Inequities in Healthcare Use
Presenter: Carine Milcent (PSE, CNRS)

10:30-11:15 – e-PoleSat: modeling and simulating facility activities, a geographical assessment of patient care
Presenters: Anne Quesnel-Barbet (Université de Lille, laboratoire RETINES) and Gilles Maignant (CNRS, laboratoire RETINES)

Authors: Anne Quesnel-Barbet, Gilles Maignant.

e-PoleSat—a digital twin of territories for reorganizing healthcare provision—is a tool for forward-looking planning in healthcare territories, providing an immediate strategic vision with variable geometry. Its mapping platform for modeling (gravitational) and simulation incorporates an optimized and automated algorithm. The only forward-looking planning tool identified by the DGOS, e-PoleSat has been providing knowledge and greater objectivity since its proof of concept in 2019. Optimizing parameter values and integrating time distance (by default, Euclidean distance) into the model are the two main areas for short-term development of the algorithm.

11:15-11:30 – Time to chat over a drink

11:30-12:15 – French spatial disparities in Major Diseases through multiscalar lens
Presenter: Xavier Bacon (Centre Borelli, projet SAFEPAW – ANR-22_PESN_005)

Authors: Xavier Bacon, Carine Milcent.

Based on the French specific classification for diagnoses, this article provides a geographic distribution of these diagnoses across France examining the disparities between localities with respect to the national level. The originality of the method used is that it is based on an recently model in geography, the so-called Multiscalar Lens Model. This model allows us to consider both the local and national levels. Moreover patients’ social and economic characteristics are taken into account through classical regressions.

12:15-13:00 – Access to primary care, the Tarn example
Presenter: Sylvain Laurens (EHESS, Centre Maurice Halbwachs)

Authors: the RuralMed collective

The RURALMED project aims to analyze the restructuring of healthcare in areas designated as “medical deserts.” The project focuses on the new centrality of patient transport, the dynamics of adaptation among healthcare stakeholders (doctors, nurses, patients, elected officials, etc.), and the reconfiguration of healthcare practices through mechanisms such as telemedicine and multidisciplinary health centers.

13:00-14:00 – Lunch

14:00-14:45 – Optimal patient allocation, a first approach using the example of total hip replacements
Presenter: Souleymane Kane Diallo (PSE, projet SAFEPAW – ANR-22_PESN_005)

Forthcoming

14:45-15:30 – Operational Research Applied to the Mix of Care Paths in a Territory
Presenter: Louis Dublois (CNRS, projet SAFEPAW – ANR-22_PESN_005)

Forthcoming

15:30-15:45 – Time to chat over a drink

15:45-16:30 – e-PoleSat applied: modeling maternity and childbirth activity
Presenters: Anne Quesnel-Barbet (Université de Lille, laboratoire RETINES) et Gilles Maignant (CNRS, laboratoire RETINES)

Authors: Anne Quesnel-Barbet, Gilles Maignant.

e-PoleSat applied to “childbirth and maternity services” in France models and simulates the creation, closure, and transfer of activities and anticipates the consequences. By recalculating the areas of influence for different scenarios involving the reorganization of healthcare provision across the country, e-PoleSat makes it possible to predict which maternity wards women would be inclined to choose after the creation or closure of a facility, thereby helping decision-makers to anticipate capacity requirements (in terms of the number of beds or places). We will look at three case studies of closures and openings.

16:30-17:00 – Discussions between speakers and the audience on different approaches and possible synergies

Find out more

The ANR-22-PESN-0005 project – SAFEPAW – Societal assets for E-healthcare patient pathways: Decision support tools, including artificial intelligence, offer a major opportunity to optimize the management and costs of our healthcare systems. We propose a multidisciplinary and multidimensional approach to study the contribution of digital health and how different stakeholders can take advantage of it. The main objective is to assess the impact of these tools on optimizing the patient care pathway… but optimizing for whom? We consider three distinct perspectives: the regulator, healthcare professionals, and users. Our approaches draw on and complement methodologies from the humanities and social sciences (HSS), mathematics and computer science, and medical sciences to understand these three perspectives. Data is examined in terms of its primary use, reuse, and reappropriation.

This event is organized in the framework of the ANR SAFEPAW – Societal assets for E-healthcare patient pathways project.

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