Reuse of EHRs to support Clinical Research
1
Most hospitals have already implemented information systems and Electronic Health Records (EHRs), but the reuse of such data for research is still infrequent. We present a pilot project on the exploitation of clinical information from a Spanish hospital database system in the context of the European project “European Medical Information Framework”. (EMIF website: http://www.emif.eu) Introduction Methods Results Conclusions Reuse of EHRs to Support Clinical Research in a Hospital of Reference Miguel A. MAYER a, , Laura I. FURLONG a , Pilar TORRE b , Ignasi PLANAS b , Francesc COTS b , Elisabet IZQUIERDO b , Jordi PORTABELLA b , Javier ROVIRA b , Alba GUTIERREZ-SACRISTAN a and Ferran SANZ a a Research Programme on Biomedical Informatics, IMIM - Universitat Pompeu Fabra, b Parc de Salut MAR (PSMAR), Barcelona, Spain contact: [email protected]; @mmayerp - After an anonymization process, all the patients with at least one recorded diagnosis in the “Parc de Salut MAR (PSMAR)” EHRs system database, were included for analysis - Based on the International Classification of Diseases-Clinical Modification (ICD9-CM) codes and a particular period of time as selection criteria (between January 1990 and March 2015), several subsets of patients were chosen for analysis This work has received support from the EU/EFPIA Innovative Medicines Initiative Joint Undertaking (EMIF grant n° 115372) and the ISCIII-FEDER (CP10/00524, PI13/00082). The Research Programme on Biomedical Informatics (GRIB) is a node of the Spanish National Institute of Bioinformatics (INB). - 1,333,748 patients were registered in the EHR system of the “Parc de Salut Mar” in the period of time considered, from different hospitals and care facilities (admissions, major ambulatory surgical unit, outpatients and emergency room) - Follow-up of patients: mean 6.37 years (SD 6.824) - 710,366 had at least one diagnosis code in ICD9-CM - Subset of Dementia: 9,351 patients with dementia (based on the following ICD9 codes: 290.0, 290.1, 290.10, 290.11, 290.12, 290.13, 290.2, 290.20, 290.21, 290.3, 290.4, 290.40, 290.41, 290.42, 290.43, 290.9, 291.2, 292.82, 294.1, 294.10, 294.20, 294.21, 331.0, 331.1, 331.11, 331.19, 331.82) - Subset of Diabetes Mellitus type 2: 31,481 patients with diabetes mellitus type 2 - The huge amount of information available in EHRs requires the use of powerful tools to manage it for biomedical research - The possibility to analyse the features of specific groups of patients based on their different diagnosis and clinical data by integrating the information from several separated clinical databases, can provide new insights about relationships between biomedical entities and prescriptions - The discovery of new relationships among different conditions will contribute to improve decision-making, quality management, healthcare and research Medical Informatics Europe, Madrid, May 2015
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Transcript of Reuse of EHRs to support Clinical Research
Most hospitals have already implemented information systems and Electronic Health Records (EHRs), but the reuse of such data for research is still infrequent. We present a pilot project on the exploitation of clinical information from a Spanish hospital database system in the context of the European project “European Medical Information Framework”. (EMIF website: http://www.emif.eu)
Introduction Methods
Results
Conclusions
Reuse of EHRs to Support Clinical Research ina Hospital of Reference
Miguel A. MAYERa,, Laura I. FURLONGa, Pilar TORREb, Ignasi PLANASb, Francesc COTSb, Elisabet IZQUIERDOb, Jordi PORTABELLAb, Javier ROVIRAb, Alba GUTIERREZ-SACRISTANa and Ferran SANZa
a Research Programme on Biomedical Informatics, IMIM - Universitat Pompeu Fabra, bParc de Salut MAR (PSMAR), Barcelona, Spaincontact: [email protected]; @mmayerp
- After an anonymization process, all the patients with at least one recorded diagnosis in the “Parc de Salut MAR (PSMAR)” EHRs system database, were included for analysis
- Based on the International Classification of Diseases-Clinical Modification (ICD9-CM) codes and a particular period of time as selection criteria (between January 1990 and March 2015), several subsets of patients were chosen for analysis
This work has received support from the EU/EFPIA Innovative Medicines Initiative Joint Undertaking (EMIF grant n° 115372) and the ISCIII-FEDER (CP10/00524, PI13/00082). The Research Programme on Biomedical Informatics (GRIB) is a node of the Spanish National Institute of Bioinformatics (INB).
- 1,333,748 patients were registered in the EHR system of the “Parc de Salut Mar” in the period of time considered, from different hospitals and care facilities (admissions, major ambulatory surgical unit, outpatients and emergency room)
- Follow-up of patients: mean 6.37 years (SD 6.824)
- 710,366 had at least one diagnosis code in ICD9-CM
- Subset of Dementia: 9,351 patients with dementia (based on the following ICD9 codes: 290.0, 290.1, 290.10, 290.11, 290.12, 290.13, 290.2, 290.20, 290.21, 290.3, 290.4, 290.40, 290.41, 290.42, 290.43, 290.9, 291.2, 292.82, 294.1, 294.10, 294.20, 294.21, 331.0, 331.1, 331.11, 331.19, 331.82)
- Subset of Diabetes Mellitus type 2: 31,481 patients with diabetes mellitus type 2
- The huge amount of information available in EHRs requires the use of powerful tools to manage it for biomedical research- The possibility to analyse the features of specific groups of patients based on their different diagnosis and clinical data by
integrating the information from several separated clinical databases, can provide new insights about relationships between biomedical entities and prescriptions
- The discovery of new relationships among different conditions will contribute to improve decision-making, quality management, healthcare and research
Medical Informatics Europe, Madrid, May 2015
