Quantification of the resilience of primary care networks by stress testing the health care system.

There are practically no quantitative tools for understanding how much stress a health care system can absorb before it loses its ability to provide care. We propose to measure the resilience of health care systems with respect to changes in the density of primary care providers. We develop a computational model on a 1-to-1 scale for a countrywide primary care sector based on patient-sharing networks. Nodes represent all primary care providers in a country; links indicate patient flows between them. The removal of providers could cause a cascade of patient displacements, as patients have to find alternative providers. The model is calibrated with nationwide data from Austria that includes almost all primary care contacts over 2 y. We assign 2 properties to every provider: the "CareRank" measures the average number of displacements caused by a provider's removal (systemic risk) as well as the fraction of patients a provider can absorb when others default (systemic benefit). Below a critical number of providers, large-scale cascades of patient displacements occur, and no more providers can be found in a given region. We quantify regional resilience as the maximum fraction of providers that can be removed before cascading events prevent coverage for all patients within a district. We find considerable regional heterogeneity in the critical transition point from resilient to nonresilient behavior. We demonstrate that health care resilience cannot be quantified by physician density alone but must take into account how networked systems respond and restructure in response to shocks. The approach can identify systemically relevant providers.

Readiness to use telemonitoring in diabetes care: a cross-sectional study among Austrian practitioners.

BACKGROUND: Telemonitoring services could dramatically improve the care of diabetes patients by enhancing their quality of life while decreasing healthcare expenditures. However, the potential for implementing innovative treatment options in the Austrian public and private health system is not known yet. Thus, we analyzed the readiness to use telemonitoring in diabetes care among Austrian practitioners. METHODS: We conducted an online survey among a purposive sample of Austrian practitioners (n = 41) using an adapted German version of the practitioner telehealth readiness assessment tool. We assessed three readiness domains for telemonitoring in the context of diabetes care, i.e. core readiness, engagement readiness, and structural readiness, and validated the German tool using principal components analysis. RESULTS: Study subjects perceived themselves as open to innovations and also expressed optimistic attitudes towards telemonitoring in general and offering telemonitoring-based services for their patients. Participants achieved a medium average readiness level for telemonitoring (58.2, 95% CI 53.9-62.5) and were thus in a good position to use telemonitoring, although some arguments may adversely affected its use. The top three perceived benefits of telemonitoring were enhanced quality of treatment, better therapy adjustment, and reduced travel and waiting times for patients. The top three barriers were reduced personal communication, practitioner time expenditure and equally placed poor financial compensation as well as data security and privacy issues. CONCLUSION: Our data revealed that Austrian practitioners showed a quite moderate readiness to use telemonitoring in diabetes care. To further advance telemonitoring readiness among all pillars of diabetes care in Austria, joint efforts among healthcare stakeholders are required to overcome existing financial, organizational, and technical obstacles.

Quantification of excess risk for diabetes for those born in times of hunger, in an entire population of a nation, across a century.

Based on a unique dataset comprising all 325,000 Austrian patients that were under pharmaceutical treatment for diabetes during 2006 and 2007, we measured the excess risk of developing diabetes triggered by undernourishment in early life. We studied the percentage of all diabetes patients in the total population specifically for each year of birth, from 1917 to 2007. We found a massive excess risk of diabetes in people born during the times of the three major famines and immediately after, which occurred in Austria in the 20th century: 1918-1919, 1938, and 1946-1947. Depending on the region, there was an up to 40% higher chance of having diabetes when born in 1919-1921, compared with 1918 or 1922, where age-specific typical diabetes ratios are observed. The excess risk for diabetes was practically absent in those provinces of Austria that were less affected by the famines. We show that diabetes rates exhibit nontrivial, age-specific sex differences, and correlate with the economic wealth of the region. Our results might be of relevance for establishing higher awareness in the health system for those born in high-risk years, and underline the importance of ensuring sufficient nutrition in prenatal and early stages of life.

Converting Entity-Attribute-Value Data Sources to OMOP's CDM: Lessons Learned.

Clinical data repositories often use entity-attribute-value (EAV) data models. To be valuable for secondary use, these health data can be transformed to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). The present paper describes the lessons learned from such an endeavour based on the concept of registering transformation functions on source data elements. We further provide future work directions for follow-up projects.

Adherence to Secondary Prevention Measures after Acute Myocardial Infarction and Its Impact on Patient Outcome-A Nationwide Perspective.

Objectives: Secondary prevention is crucial for reducing morbidity and mortality in patients following acute myocardial infraction (MI). However, adherence to cardiac rehabilitation (CR) and pharmacotherapy remains suboptimal despite strong guideline recommendations. This study investigated the adherence to CR, dual antiplatelet therapy (DAPT), and statins following acute MI and evaluated their impact on patient outcomes from a nationwide perspective in Austria. Methods: In this national observational study, all patients diagnosed with acute MI, defined as STEMI or NSTEMI, between April 2011 and August 2015 in Austria were included. Patient characteristics and comorbidities were derived from the Austrian national health insurance system using ICD-10 codes. Adherence to CR, high-intensity statins, and DAPT was assessed based on health insurance records and pharmacy prescription submissions. Cox Regression hazard analysis was used to explore the impact of non-adherence to CR on mortality. Results: Among 16,518 acute MI patients, only 13.4% adhered to the recommended CR programs, which was associated with a significantly lower risk of mortality (adjusted hazard ratio [HR] 0.73; 95% CI: 0.54-0.98; p = 0.036). In contrast, 66.4% of 23,240 patients did not comply with high-intensity statin therapy, correlating with an increased mortality risk (adjusted HR 1.16; 95% CI: 1.06-1.25; p < 0.001). Furthermore, among 22,331 patients analyzed for DAPT adherence, only 29.3% followed the guidelines, yet this adherence was linked to a 21% reduction in mortality over the observation period (adjusted HR 0.79; 95% CI: 0.72-0.88; p < 0.001). Conclusions: This nationwide study reveals alarmingly low adherence to CR and secondary preventive medications among acute MI patients, which is significantly linked to higher mortality rates. Enhanced efforts to promote awareness and adherence are crucial, involving structured referrals and personalized follow-ups to improve patient outcomes. Addressing these gaps through comprehensive healthcare strategies could substantially enhance cardiovascular health.

Towards plug-and-play integration of archetypes into legacy electronic health record systems: the ArchiMed experience.

BACKGROUND: The dual model approach represents a promising solution for achieving semantically interoperable standardized electronic health record (EHR) exchange. Its acceptance, however, will depend on the effort required for integrating archetypes into legacy EHR systems. METHODS: We propose a corresponding approach that: (a) automatically generates entry forms in legacy EHR systems from archetypes; and (b) allows the immediate export of EHR documents that are recorded via the generated forms and stored in the EHR systems' internal format as standardized and archetype-compliant EHR extracts. As a prerequisite for applying our approach, we define a set of basic requirements for the EHR systems. RESULTS: We tested our approach with an EHR system called ArchiMed and were able to successfully integrate 15 archetypes from a test set of 27. For 12 archetypes, the form generation failed owing to a particular type of complex structure (multiple repeating subnodes), which was prescribed by the archetypes but not supported by ArchiMed's data model. CONCLUSIONS: Our experiences show that archetypes should be customized based on the planned application scenario before their integration. This would allow problematic structures to be dissolved and irrelevant optional archetype nodes to be removed. For customization of archetypes, openEHR templates or specialized archetypes may be employed. Gaps in the data types or terminological features supported by an EHR system will often not preclude integration of the relevant archetypes. More work needs to be done on the usability of the generated forms.

Transforming Documents of the Austrian Nationwide EHR System into the OMOP CDM.

The Austrian nationwide EHR system ELGA can contribute valuable data for research due to its high volume of data and broad population coverage. In order to be applicable in international research projects, transformation to a standardized, research-oriented data model such as the OMOP common data model is essential. In this paper we describe our experience with the corresponding transformation task. Using Python scripts, we implemented a prototypical process that extracts, transforms, maps, and loads fully structured sections of ELGA documents to an OMOP database.

Converting HL7 CDA Based Nationwide Austrian Medication Data to OMOP CDM.

Austria's national Electronic Health Record (EHR) system holds information on medication prescriptions and dispenses in highly structured HL7 Clinical Document Architecture (CDA) documents. Making these data accessible for research is desirable due to their volume and completeness. This work describes our approach of transforming the HL7 CDA data into Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and highlights a key challenge, namely mapping the Austrian drug terminology to OMOP standard concepts.

Archetype based search in an IHE XDS environment.

To prevent information overload of physicians when accessing EHRs we introduce a method to extend the IHE XDS profile metadata-based search towards a content-based search. Detailed queries are created based on predefined information needs mapped to ISO/EN 13606 Archetypes. They are aggregated to a metadata-based query to retrieve all relevant documents, which are then analyzed for the desired contents. The results are presented in a tabular form. The content-based search in IHE-XDS could be implemented efficiently and was found helpful by the evaluating physicians.

Fragmentation of diabetes treatment in Austria - an indicator for the need for shared electronic health record systems.

Shared electronic health record (EHR) systems aim to support continuity of care within the joint treatment of a patient by a community of cooperating care providers. By analyzing the fragmentation of care of Austrian diabetes patients, we aim to find evidence whether there is actually a need for shared EHR systems in this context. Our results show that almost three quarters of the observed diabetes patients visit two or more different care providers during their diabetes-related visits. Overall, our findings strongly support the demand for shared EHR systems for the treatment of diabetes patients.

Generation of FHIR-Based International Patient Summaries from ELGA Data.

Patient summaries grant healthcare providers a concise overview of a patient's status. This paper showcases to which degree International Patient Summaries (IPS) represented in HL7 FHIR format can be generated using data from the nationwide Austrian Electronic Health Record system ELGA. A solution is presented which enables the automated software-assembled generation of an IPS using the FHIR Mapping Language. The generated document successfully validates against the IPS profiles. Our results show that all required IPS sections can be supplied from ELGA data.

Extending the Austrian National EHR System with Patient-Reported Outcome Data.

The Austrian national Electronic Health Record system ELGA is a population-based infrastructure for health data. However, to date, it does not include patient-reported outcomes. In this paper, we describe on-going work on extending ELGA with patient-reported outcome data. This will be done by linking ELGA with the infrastructure of the Health Outcomes Observatory (H2O) initiative. The focus will be on using ELGA's identifier registry for H2O patients and making H2O outcome data accessible in ELGA via an existing ELGA document type for telemonitoring.

Creating ISO/EN 13606 archetypes based on clinical information needs.

Archetypes model individual EHR contents and build the basis of the dual-model approach used in the ISO/EN 13606 EHR architecture. We present an approach to create archetypes using an iterative development process. It includes automated generation of electronic case report forms from archetypes. We evaluated our approach by developing 128 archetypes which represent 446 clinical information items from the diabetes domain.

The Archetype-enabled EHR system ZK-ARCHE - integrating the ISO/EN 13606 standard and IHE XDS profile.

The EHR system ZK-ARCHE automatically generates forms from ISO/EN 13606 archetypes. For this purpose the archetypes are augmented with components of the reference model to achieve so-called "comprehensive archetypes". Data collected via the forms are stored in a list which associates each value with the path of the corresponding comprehensive archetype node coded as W3C XPath. From this list archetype-conformant EHR extracts can be created. The system is embedded with the IHE XDS profile to allow direct data exchange in an environment of distributed data storage.

Clinical situations and information needs of physicians during treatment of diabetes mellitus patients: a triangulation study.

Physicians should have access to the information they need to provide the most effective health care. Medical knowledge and patient-oriented information is dynamic and expanding rapidly so there is a rising risk of information overload. We investigated the information needs of physicians during treatment of Diabetes mellitus patients, using a combination of interviews, observations, literature research and analysis of recorded medical information in hospitals as part of a methodical triangulation. 446 information items were identified, structured in a set of 9 main categories each, as well as 6 time windows, 10 clinical situations and 68 brief queries. The physician's information needs as identified in this study will now be used to develop sophisticated query tools to efficiently support finding of information in an electronic health record.

Semiautomatic Recruitment of Trial Patients Using ELGA Data: Conceptual Design and Implementation of an IT Tool.

Reuse of EHR data can substantially improve the recruitment process of clinical trials. As shown earlier, Shared EHR systems are particularly attractive data sources. The goal of this work was to conceptually design and implement a user-friendly tool for semiautomatic trial recruitment using ELGA data. The tool applies a web-based client (Vue and Electron frameworks) - server (Django-Python and Java server, SQLite database) architecture. Trial eligibility criteria are expressed as XPaths. Access to ELGA documents is simulated using the eHealth Connector library and the IHE XDS Open eHealth Integration Platform framework. Usability was optimized in expert interviews with investigators of two active trials. First feedback based on synthesized ELGA test data indicates suitability for clinical end users. Further insights are expected from applying the tool to real ELGA data.

Reusing Data of an EU-Wide EHR System for Clinical Trials: A Capabilities Analysis.

Conduction of clinical trials may benefit from the reuse of EHR data. The upcoming EHR system eHDSI provides data exchange between European countries and thus represents an attractive data source for multinational trials. In this paper we analyze to what extent eHDSI could provide data relevant for trials with a focus on patient recruitment. Data elements identified in the EHR4CR project to be frequently used in trials were mapped to the HL7 templates of the eHDSI document types using the open source tool ART-DECOR. From the 149 EHR4CR data elements, 44 (30%) could be mapped to eHDSI document components. Despite this moderate coverage, eHDSI could still provide a substantial contribution for recruitment by an automatic pre-filtering process of large groups of potential trial candidates.

Telemonitoring readiness among Austrian diabetic patients: A cross-sectional validation study.

Digitalized healthcare services offer remote and cost-effective treatment of diabetes patients. Thus, the present online study analyzed the readiness to use telemonitoring among Austrian diabetes patients. We developed and validated a German version of the patient telehealth readiness assessment tool and performed quantitative context analysis of free-text comments on perceived barriers and benefits of telemonitoring. Participants (n = 41, 42.6% females) achieved a medium average readiness level for telemonitoring. The three top benefits were intensified care, shorter travel and waiting times, and better therapy adjustment. The top three barriers were data privacy issues, loss of personal communication and focus on blood sugar, and teledoctor competence. Diabetes patients represent a suitable target group for remote treatment opportunities. However, a shift from traditional face-to-face medical care to exclusive telemonitoring treatment from diagnosis to consultation and treatment requires fundamental new legal framework conditions.

International Comparison of Six Basic eHealth Indicators Across 14 Countries: An eHealth Benchmarking Study.

BACKGROUND: Many countries adopt eHealth applications to support patient-centered care. Through information exchange, these eHealth applications may overcome institutional data silos and support holistic and ubiquitous (regional or national) information logistics. Available eHealth indicators mostly describe usage and acceptance of eHealth in a country. The eHealth indicators focusing on the cross-institutional availability of patient-related information for health care professionals, patients, and care givers are rare. OBJECTIVES: This study aims to present eHealth indicators on cross-institutional availability of relevant patient data for health care professionals, as well as for patients and their caregivers across 14 countries (Argentina, Australia, Austria, Finland, Germany, Hong Kong as a special administrative region of China, Israel, Japan, Jordan, Kenya, South Korea, Sweden, Turkey, and the United States) to compare our indicators and the resulting data for the examined countries with other eHealth benchmarks and to extend and explore changes to a comparable survey in 2017. We defined "availability of patient data" as the ability to access data in and to add data to the patient record in the respective country. METHODS: The invited experts from each of the 14 countries provided the indicator data for their country to reflect the situation on August 1, 2019, as date of reference. Overall, 60 items were aggregated to six eHealth indicators. RESULTS: Availability of patient-related information varies strongly by country. Health care professionals can access patients' most relevant cross-institutional health record data fully in only four countries. Patients and their caregivers can access their health record data fully in only two countries. Patients are able to fully add relevant data only in one country. Finland showed the best outcome of all eHealth indicators, followed by South Korea, Japan, and Sweden. CONCLUSION: Advancement in eHealth depends on contextual factors such as health care organization, national health politics, privacy laws, and health care financing. Improvements in eHealth indicators are thus often slow. However, our survey shows that some countries were able to improve on at least some indicators between 2017 and 2019. We anticipate further improvements in the future.