MCO : PMSI - Médecine, chirurgie, obstétrique et odontologie
Products:
RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2024, RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2023, RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2022, RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2021, RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2020, RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2019, RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2018, RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2017, RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2016, RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2014, RESUMES_ANONYMES_2024, RESUMES_ANONYMES_2023, RESUMES_ANONYMES_2022, RESUMES_ANONYMES_2021, RESUMES_ANONYMES_2020, RESUMES_ANONYMES_2019, RESUMES_ANONYMES_2018, RESUMES_ANONYMES_2017, RESUMES_ANONYMES_2016, RESUMES_ANONYMES_2014, MED_OQN_2018, MED_OQN_2017, MED_OQN_2016, MED_OQN_2014, MED_ATU_2021, MED_ATU_2020, MED_ATU_2019, MED_ATU_2018, MED_ATU_2017, MED_ATU_2016, MED_ATU_2014, MED_APAC_2024, MED_APAC_2023, MED_APAC_2022, MED_2024, MED_2023, MED_2022, MED_2021, MED_2020, MED_2019, MED_2018, MED_2017, MED_2016, FICHIERS_CHAINAGE_ANO_2024, FICHIERS_CHAINAGE_ANO_2023, FICHIERS_CHAINAGE_ANO_2022, FICHIERS_CHAINAGE_ANO_2021, FICHIERS_CHAINAGE_ANO_2020, FICHIERS_CHAINAGE_ANO_2019, FICHIERS_CHAINAGE_ANO_2018, FICHIERS_CHAINAGE_ANO_2017, FICHIERS_CHAINAGE_ANO_2016, FICHIERS_CHAINAGE_ANO_2014, FICHCOMP_MED_2014, FICHCOMP_DMIP_2014, DMI_OQN_2014, DMI_2024, DMI_2023, DMI_2022, DMI_2021, DMI_2020, DMI_2019, DMI_2018, DMI_2017, DMI_2016, ANO_ACE_2024, ANO_ACE_2023, ANO_ACE_2022, ANO_ACE_2021, ANO_ACE_2020, ANO_ACE_2019, ANO_ACE_2018, ANO_ACE_2017, ANO_ACE_2016, ANO_ACE_2014
+
-
Authorisation: Producer
Short-term hospital care, also known as medicine, surgery, obstetrics and odontology (MCO), is divided between the public sector (hospitals) and the private sector (clinics). This activity is subject to systematic collection of administrative, medical and economic information at the end of each patient stay. The primary purpose of this data collection, known as the "Medicalization of information systems program" (PMSI-MCO), is to serve as a basis for the equitable funding of health care institutions. It also feeds the French National Health Data System (SNDS), available to public and private organizations upon request for any work or research of public interest.
These data include:
- anonymized discharge summaries (RSA) comprising six categories of information (diagnoses, procedures, patient, stay, pricing, establishment);
- anonymized billing summaries (RSFA);
- external procedures and consultations (ACE);
- complementary files: implantable medical devices (DMI), expensive drugs (MED), drugs with temporary authorization for use (ATU) complementary files valued by sector: public (DGF) or private (OQN);
- elements of anonymous linkage of information relating to the same patient (regardless of the place and year of hospitalization).
Projects using this data source (49)
- Project carried out by the company named “Hox-Com Analytics”
- Project carried out by the company named “CEMKA EVAL”
- Project carried out by the company named “STEVE CONSULTANTS”
- Project carried out by the company named “IMS HEALTH”
- Project carried out by the company named “HOSMEDIS”
- Project carried out by Jean-Marc MACE
- Project carried out by the company named “ALTENSE Consulting”
- Project carried out by the company named “CUSTOMIZER”
- Project carried out by the company named “B2GE Conseil”
- An evaluation of hospital activity
- Project carried out by the company named “Accords Stratégiques et Opérationnels”
- Project carried out by Daniela HERMAN
- Project carried out by the company named “PIERRE KARAM CONSEIL SANTE”
- Project carried out by the company named “ALTAO”
- Project carried out by the company named “MEDTRONIC”
- Project carried out by the company named “BAXTER”
- Project carried out by the company named “OpusLine"
- Project carried out by the company named “MEDIAN CONSEIL”
- Project carried out by the company named “Malakoff Médéric”
- Project carried out by the company named “Carte Blanche Partenaires”
- Project carried out by the company named “J.F. PHILIPPON - Etudes et Formations PMSI”
- Project carried out by the company named “Capgemini Consulting”
- Project carried out by the company named “GHM DIAGNOSTIC”
- Hospital data (PMSI) processed by APM International
- Hospital data (PMSI) processed by Kanopymed
- Traitement des données du PMSI par la société HORIANA
- Traitement des données du PMSI par la société ALIRA HEALTH
- Project carried out by the company named “ETTA SANTE”
- Project carried out by the company named “ADOPALE”
- Project carried out by the company named “INTUITIVE SURGICAL”
- Project carried out by the company named “ADYSTA CONSEIL”
- Studying patient care and how hospitals monitor diseases
- Hospital data (PMSI) processed by the IRIS CONSEIL SANTE consultancy firm
- Hospital data (PMSI) processed by Creativ Ceutical
- Hospital data (PMSI) processed by Premières Lignes Télévision
- Traitement des données du PMSI par la société Kappa Santé
- Study on diagnoses and acts association rules in anonymized discharge summaries
- Hospital data (PMSI) processed by Altense Engineering
- Project carried out by the company named "Carte Blanche Partenaires"
- Traitement des données du PMSI par la société METHODIM
- Traitement des données PMSI par le Groupe Hospitalier Paris Saint-Joseph
- Traitement des données du PMSI par la société PUBLIC HEALTH EXPERTISE
- Traitement des données PMSI par la société SEBDO LE Point
- Traitement des données PMSI par la société GERS-Data
- Traitement des données PMSI par les étudiants de l'ENSAE
- Traitement des données PMSI par les étudiants de l'ENSAE
- Traitement des données PMSI par les étudiants de l'ENSAE
- Traitement des données PMSI par les étudiants de l'ENSAE
- Traitement des données PMSI par les étudiants de l'ENSAE
+
-
Articles (7)
- Population characteristics, management, and survival outcomes in muscle-invasive urothelial carcinoma undergoing radical resection: the MINOTAUR study
- Panorama de l'activité et du positionnement des établissements SSR au niveau national : illustration par des analyses de parcours MCO-SSR
- One-year Cost of Ischemic Stroke and Intracranial Hemorrhage according to Disability for Atrial Fibrillation Patients in France
- Patient Care Pathway for Post-Stroke Spasticity and BoNT Management in French Hospitals through the Prism of PMSI Data
- Prise en charge de la spasticité par toxine botulique en France: étiologies et évolution des pratiques
- Etude comparative Hospitalisation Publique Privée MCO
- Étude des conditions d’utilisation de Jevtana en vie réelle
Other sources in the same theme (33)
- HAD : PMSI - Hospitalisation à domicile
- SMR : PMSI - Soins médicaux et de réadaptation
- PSY : PMSI - Psychiatrie
- HYGIE : Information System on Sick Leaves Benefits
- ESPS-Enquête : Health, Health Care and Insurance Survey
- ESPS-SNDS-PrestationsFines : Health, Health Care and Insurance Survey - SNDS-PrestationsFines
- ESPS-SNDS-GrandsPostes : Health, Health Care and Insurance Survey - SNDS-GrandsPostes
- CMDC : Medical causes of death.
- CARE-M : Survey on the capacities, aids and resources of elderly people – households section
- CARE-I : Survey on the capacities, aids and resources of elderly people – institutions section
- Cohorte Constances et Gazel : Constances and Gazel cohorts
- Cohorte CKD-REIN : CKD-REIN study
- ES-H : Establishments and services for people with handicaps
- SNDS : Data from the National Health Data System
- Gestion Constances : Constances management
- EHPA : Residential facilities for the elderly
- RI-APA-ASH : Individual feedback from personal autonomy allowance and social housing allowance applicants and beneficiaries
- RPU : Emergency visits summaries
- CARE-M apparié SNDS : Survey on the capacities, aids and resources of elderly people – households section matched with SNDS data
- RI-PCH : Individual reporting of Handicap Compensation Benefit applicants and beneficiaries (RI-PCH)
- CARE-M apparié fiscal-social : matched with data on personal income tax returns (IRPP) (Insee-Drees-Dgfip) and with social data (CNAF, CNAV, CCMSA)
- CARE-I apparié SNDS : Survey on the capacities, aids and resources of elderly people – institutions section matched with SNDS data
- CARE-I apparié fiscal-social : Survey on the capacities, aids and resources of elderly people – institutions section matched with data on personal income tax returns (IRPP) (Insee-Drees-Dgfip) and with social data (CNAF, CNAV, CCMSA)
- EpiCov : National Survey on the Covid 19 Epidemic
- EHIS : European Health Interview Survey
- VQS :
- EHIS DOM :
- BADIANE :
- MEDGENLIB4 :
- Enquête Urgences : Enquête nationale sur les structures des urgences hospitalières
- SPI76 :
- ATNM-M :
- VQS apparié EIR :
+
-
Persistent Identifiers (DOI)
Data citation and persistent identifiers (DOI - Digital Object Identifier) for each year.
- ANO_ACE_2014 : https://doi.org/10.34724/CASD.158.2594.V1
- ANO_ACE_2016 : https://doi.org/10.34724/CASD.158.2596.V1
- ANO_ACE_2017 : https://doi.org/10.34724/CASD.158.2637.V1
- ANO_ACE_2018 : https://doi.org/10.34724/CASD.158.2979.V1
- ANO_ACE_2019 : https://doi.org/10.34724/CASD.158.3264.V1
- ANO_ACE_2020 : https://doi.org/10.34724/CASD.158.3908.V1
- ANO_ACE_2021 : https://doi.org/10.34724/CASD.158.4419.V1
- ANO_ACE_2022 : https://doi.org/10.34724/CASD.158.4875.V1
- ANO_ACE_2023 : https://doi.org/10.34724/CASD.158.5323.V1
- ANO_ACE_2024 : https://doi.org/10.34724/CASD.158.5861.V1
- DMI_2016 : https://doi.org/10.34724/CASD.158.2218.V1
- DMI_2017 : https://doi.org/10.34724/CASD.158.2632.V1
- DMI_2018 : https://doi.org/10.34724/CASD.158.2980.V1
- DMI_2019 : https://doi.org/10.34724/CASD.158.3277.V2
- DMI_2020 : https://doi.org/10.34724/CASD.158.3909.V1
- DMI_2021 : https://doi.org/10.34724/CASD.158.4421.V1
- DMI_2022 : https://doi.org/10.34724/CASD.158.4876.V1
- DMI_2023 : https://doi.org/10.34724/CASD.158.5324.V1
- DMI_2024 : https://doi.org/10.34724/CASD.158.5862.V1
- DMI_OQN_2014 : https://doi.org/10.34724/CASD.158.2228.V1
- FICHCOMP_DMIP_2014 : https://doi.org/10.34724/CASD.158.1660.V1
- FICHCOMP_MED_2014 : https://doi.org/10.34724/CASD.158.1665.V1
- FICHIERS_CHAINAGE_ANO_2014 : https://doi.org/10.34724/CASD.158.1653.V1
- FICHIERS_CHAINAGE_ANO_2016 : https://doi.org/10.34724/CASD.158.2216.V1
- FICHIERS_CHAINAGE_ANO_2017 : https://doi.org/10.34724/CASD.158.2628.V1
- FICHIERS_CHAINAGE_ANO_2018 : https://doi.org/10.34724/CASD.158.2981.V1
- FICHIERS_CHAINAGE_ANO_2019 : https://doi.org/10.34724/CASD.158.3271.V2
- FICHIERS_CHAINAGE_ANO_2020 : https://doi.org/10.34724/CASD.158.3910.V1
- FICHIERS_CHAINAGE_ANO_2021 : https://doi.org/10.34724/CASD.158.4422.V1
- FICHIERS_CHAINAGE_ANO_2022 : https://doi.org/10.34724/CASD.158.4890.V1
- FICHIERS_CHAINAGE_ANO_2023 : https://doi.org/10.34724/CASD.158.5325.V1
- FICHIERS_CHAINAGE_ANO_2024 : https://doi.org/10.34724/CASD.158.5863.V1
- MED_2016 : https://doi.org/10.34724/CASD.158.2217.V1
- MED_2017 : https://doi.org/10.34724/CASD.158.2629.V1
- MED_2018 : https://doi.org/10.34724/CASD.158.2982.V2
- MED_2019 : https://doi.org/10.34724/CASD.158.3274.V2
- MED_2020 : https://doi.org/10.34724/CASD.158.3911.V2
- MED_2021 : https://doi.org/10.34724/CASD.158.4423.V2
- MED_2022 : https://doi.org/10.34724/CASD.158.4877.V2
- MED_2023 : https://doi.org/10.34724/CASD.158.5326.V1
- MED_2024 : https://doi.org/10.34724/CASD.158.5864.V1
- MED_APAC_2022 : https://doi.org/10.34724/CASD.158.4878.V2
- MED_APAC_2023 : https://doi.org/10.34724/CASD.158.5335.V1
- MED_APAC_2024 : https://doi.org/10.34724/CASD.158.5865.V1
- MED_ATU_2014 : https://doi.org/10.34724/CASD.158.2206.V1
- MED_ATU_2016 : https://doi.org/10.34724/CASD.158.2225.V1
- MED_ATU_2017 : https://doi.org/10.34724/CASD.158.2630.V1
- MED_ATU_2018 : https://doi.org/10.34724/CASD.158.2983.V1
- MED_ATU_2019 : https://doi.org/10.34724/CASD.158.3273.V2
- MED_ATU_2020 : https://doi.org/10.34724/CASD.158.3912.V1
- MED_ATU_2021 : https://doi.org/10.34724/CASD.158.4424.V2
- MED_OQN_2014 : https://doi.org/10.34724/CASD.158.2117.V1
- MED_OQN_2016 : https://doi.org/10.34724/CASD.158.2470.V1
- MED_OQN_2017 : https://doi.org/10.34724/CASD.158.2638.V1
- MED_OQN_2018 : https://doi.org/10.34724/CASD.158.2994.V1
- RESUMES_ANONYMES_2014 : https://doi.org/10.34724/CASD.158.1647.V1
- RESUMES_ANONYMES_2016 : https://doi.org/10.34724/CASD.158.2215.V1
- RESUMES_ANONYMES_2017 : https://doi.org/10.34724/CASD.158.2631.V1
- RESUMES_ANONYMES_2018 : https://doi.org/10.34724/CASD.158.2978.V1
- RESUMES_ANONYMES_2019 : https://doi.org/10.34724/CASD.158.3272.V2
- RESUMES_ANONYMES_2020 : https://doi.org/10.34724/CASD.158.3913.V1
- RESUMES_ANONYMES_2021 : https://doi.org/10.34724/CASD.158.4425.V1
- RESUMES_ANONYMES_2022 : https://doi.org/10.34724/CASD.158.4879.V1
- RESUMES_ANONYMES_2023 : https://doi.org/10.34724/CASD.158.5327.V1
- RESUMES_ANONYMES_2024 : https://doi.org/10.34724/CASD.158.5866.V1
- RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2014 : https://doi.org/10.34724/CASD.158.2581.V1
- RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2016 : https://doi.org/10.34724/CASD.158.2583.V1
- RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2017 : https://doi.org/10.34724/CASD.158.2636.V1
- RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2018 : https://doi.org/10.34724/CASD.158.2984.V1
- RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2019 : https://doi.org/10.34724/CASD.158.3263.V1
- RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2020 : https://doi.org/10.34724/CASD.158.3914.V1
- RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2021 : https://doi.org/10.34724/CASD.158.4420.V1
- RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2022 : https://doi.org/10.34724/CASD.158.4880.V1
- RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2023 : https://doi.org/10.34724/CASD.158.5328.V1
- RESUMES_STANDARDISES_FACTURES_ANONYMES_STC_2024 : https://doi.org/10.34724/CASD.158.5867.V1
+
-