Objectives: Presentation of an overview of the reasons why data integration initiatives should be seen as enablers for effective decision support in data-intensive healthcare settings. Methods: Typical challenges rising from the information requirements of clinical decision support systems are highlighted. We then propose a methodological solution where several heterogeneous data sources are integrated by the means of a common data model on top of which the DSS is built. Results: We report on two successful case studies based on the DSSs developed in the context of the MobiGuide and Mosaic projects, funded by the European Union in the Seventh Framework Program. The MobiGuide patient guidance system has been successfully validated during a recent pilot study involving 30 patients (10 with atrial fibrillation and 20 with gestational diabetes), while Mosaic is currently undergoing a validation phase involving 1000 type 2 Diabetes patients. Conclusions: In the era of big data, effective data integration strategies are an essential need for medical informatics solutions and even more for those intended to support decision processes. Building generic DSSs based on a stable (but easily extensible) data model, specifically designed to meet the information requirements of DSSs and analytics, has proven to be a successful solution in the two presented use cases.
- Keywords
- projekt MOSAIC, projekt MobiGuide,
- MeSH
- Diabetes Mellitus, Type 2 diagnosis therapy MeSH
- Atrial Fibrillation diagnosis therapy MeSH
- Health Level Seven MeSH
- Consumer Health Information * MeSH
- Humans MeSH
- Decision Making, Computer-Assisted MeSH
- Systems Integration MeSH
- Decision Support Systems, Clinical * MeSH
- Models, Theoretical MeSH
- Patient Participation MeSH
- Check Tag
- Humans MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
- MeSH
- Big Data * MeSH
- Electronic Health Records organization & administration MeSH
- Cardiac Rehabilitation methods MeSH
- Systems Integration MeSH
- Publication type
- Interview MeSH
- Geographicals
- Israel MeSH
... The legislative framework governing personal health data 65 -- Data accessibility across OECD countries ... ... and access to de-identified data 84 -- Foreign applicants for access to data 87 -- Data sharing challenges ... ... datasets 120 -- Data linkages are concentrated in many countries 120 -- Data processing centres 122 ... ... processors promotes both data security and access to data 132 -- References ,, 134 -- Chapter 6. ... ... and security 164 -- Data security within data custodians 166 -- External data processors and cloud computing ...
OECD health policy studies, ISSN 2074-3181
197 stran : ilustrace ; 28 cm
- MeSH
- Documentation MeSH
- Health Services Accessibility MeSH
- Confidentiality MeSH
- Health Care Economics and Organizations MeSH
- Delivery of Health Care, Integrated MeSH
- Personally Identifiable Information MeSH
- Public Health Informatics MeSH
- Health Policy MeSH
- Health Information Systems MeSH
- Conspectus
- Veřejné zdraví a hygiena
- NML Fields
- veřejné zdravotnictví
- ekonomie, ekonomika, ekonomika zdravotnictví
- NML Publication type
- studie
Objectives: A significant portion of care related to cardiorespiratory diseases is provided at home, usually but not exclusively, after the discharge of a patient from hospital. It is the purpose of the present study to present the technical means which we have developed, in order to support the adaptation of the continuity of care of cardiorespiratory diseases at home. Methods: We have developed an integrated system that includes: first, a prototype laptop-based portable monitoring system that comprises low-cost commercially available components, which enable the periodical or continuous monitoring of vital signs at home; second, software supporting medical decision-making related to tachycardia and ventricular fibrillation, as well as fuzzy-rules-based software supporting home-ventilation optimization; third, a typical continuity of care record (CCR) adapted to support also the creation of a homecare plan; and finally, a prototype ontology, based upon the HL7 clinical document architecture (CDA), serving as basis for the development of semantically annotated web services that allow for the exchange and retrieval of homecare information. Results: The flexible design and the adaptable data-exchange mechanism of the developed system result in a useful and standard-compliant tool, for cardiorespiratory disease-related homecare. Conclusions: The ongoing laboratory testing of the system shows that it is able to contribute to an effective and low-cost package solution, supporting patient supervision and treatment. Furthermore, semantic web technologies prove to be the perfect solution for both the conceptualization of a continuity of care data exchange procedure and for the integration of the structured medical data.
- MeSH
- Information Systems standards MeSH
- Internet MeSH
- Cardiovascular Diseases MeSH
- Continuity of Patient Care MeSH
- Humans MeSH
- Semantics MeSH
- Home Care Services MeSH
- Systems Integration MeSH
- Telemetry methods instrumentation MeSH
- Information Storage and Retrieval methods MeSH
- Quality Assurance, Health Care methods MeSH
- Check Tag
- Humans MeSH
... Hallmarks of data quality in chemical exposure assessment: Introduction -- What do we mean by "data" ... ... -- From exposure data quality to the quality of exposure assessments -- Conclusions ... ... WHAT DO WE MEAN BY “DATA” IN EXPOSURE ASSESSMENT? 145 -- 3. ... ... Appropriateness 149 -- 3.2 Accuracy 150 -- 3.3 Integrity 151 -- 3.4 Transparency 153 -- 4. ... ... FROM EXPOSURE DATA QUALITY TO THE QUALITY OF EXPOSURE ASSESSMENTS 155 -- 5. CONCLUSIONS 157 -- 6. ...
IPCS harmonization project document ; no. 6
xiii, 158 s. : il., tab. ; 30 cm
- MeSH
- Risk Assessment MeSH
- Uncertainty MeSH
- Data Collection standards MeSH
- Environmental Exposure MeSH
- Conspectus
- Životní prostředí a jeho ochrana
- NML Fields
- environmentální vědy
- NML Publication type
- publikace WHO
Lecture notes in computer science ; 3337
xi, 508 stran
- MeSH
- Data Analysis MeSH
- Publication type
- Conference Proceedings MeSH
- Collected Work MeSH
- Conspectus
- Biologické vědy
- NML Fields
- lékařská informatika
Health Evidence Network (HEN) synthesis report, ISSN 2227-4316
1 online zdroj (viii, 32 s.)
- MeSH
- Cooperative Behavior MeSH
- Evidence-Based Practice MeSH
- Data Collection MeSH
- Telemedicine MeSH
- Health Information Systems MeSH
- Conspectus
- Veřejné zdraví a hygiena
- NML Fields
- veřejné zdravotnictví
- lékařská informatika
- NML Publication type
- publikace WHO
- elektronické knihy
Cíl: Představit metodologický rámec a analytické možnosti využití národních individuálních dat v oblasti diabetes mellitus v těhotenství, který představuje významný rizikový faktor pro zdraví matky i dítěte. Soubor a metodika: Národní zdravotnický informační systém je páteřním systémem centralizovaných dat o českém zdravotnictví. Díky vzájemné propojitelnosti evidovaných údajů umožňuje při nastavení vhodného algoritmu podrobně analyzovat i data o výskytu diabetes mellitus v souvislosti s těhotenstvím. Vstupním souborem pro analýzu byly porody v období 2012–2023 evidované v Národním registru reprodukčního zdraví, modulu Rodiček. Celkem do analýzy vstupovalo 1 240 227 porodů. K těmto údajům byl dohledán záznam o výskytu onemocnění v Národním registru hrazených zdravotních služeb. Výsledky a závěr: Na základě definovaných kritérií, jako jsou specifická léčiva, vykázané zdravotní výkony, zdravotnický materiál či diagnóza onemocnění, byla v roce 2023 stanovena prevalence diabetes mellitus mezi rodičkami na 15,4 %. Díky propojitelnosti Národního zdravotnického informačního systému a vytvořené definici těhotné ženy s diabetem bude nadále možné analyzovat výskyt tohoto specifického onemocnění a jeho dopady na zdraví na celostátní úrovni.
Objective: This study aims to present the methodological framework and analytical approaches for utilizing national individual-level data on diabetes mellitus in pregnancy, a condition that poses a significant risk to the health of both mother and child. Materials and methodology: The National Health Information System serves as the central repository for data on the Czech healthcare system. Through the integration of various recorded datasets, it enables detailed analysis of the incidence of diabetes mellitus in connection with pregnancy, provided that an appropriate analytical algorithm is applied. The input dataset for the analysis consisted of births recorded between 2012 and 2023 in the National Register of Reproductive Health, specifically the Mothers module. In total, 1,240,227 births were included in the analysis. For each case, the presence of the disease was verified using records from the National Register of Reimbursed Health Services. Results and conclusion: Based on the defined criteria, including specific medications, reported medical procedures, medical devices, and disease diagnoses, the prevalence of diabetes mellitus among parturient women was determined to be 15.4%. Thanks to the interconnected structure of the National Health Information System and newly established definition of a pregnant woman with diabetes, it will be possible to continue analyzing the prevalence and health impacts of this condition at the national level.
- MeSH
- Diabetes, Gestational * epidemiology MeSH
- Humans MeSH
- Prevalence MeSH
- Registries MeSH
- Pregnancy in Diabetics epidemiology MeSH
- Pregnancy MeSH
- Check Tag
- Humans MeSH
- Pregnancy MeSH
- Female MeSH
- Geographicals
- Czech Republic MeSH
