Complexity of biomedical data models in cardiology: the Intranet-based AF registry

A SOA statistical engine for biomedical data

Currently, large efforts are spent to develop standards and architectures useful to achieve more effective interoperability among medical information systems. Despite such efforts, there are no researches produced so far to directly analyse, with statistical methods, biomedical data represented as eXtensible Markup Language (XML) documents. Thus, the paper proposes an architecture which offers a twofold approach to the statistical analysis of XML data, i.e. via a web service and by extending the query languages used in XML databases. To show how the architecture can be used, a sample system is also reported. Finally, the paper ends by reporting the advantages and drawbacks of the proposed approach in comparison with classic statistical packages.

Anatomy of data integration

Producing reliable information is the ultimate goal of data processing. The ocean of data created with the advances of science and technologies calls for integration of data coming from heterogeneous sources that are diverse in their purposes, business rules, underlying models and enabling technologies. Reference models, Semantic Web, standards, ontology, and other technologies enable fast and efficient merging of heterogeneous data, while the reliability of produced information is largely defined by how well the data represent the reality. In this paper, we initiate a framework for assessing the informational value of data that includes data dimensions; aligning data quality with business practices; identifying authoritative sources and integration keys; merging models; uniting updates of varying frequency and overlapping or gapped data sets.

Fibrillatory conduction in branching atrial tissue--Insight from volumetric and monolayer computer models

Increased local load in branching atrial tissue (muscle fibers and bundle insertions) influences wave propagation during atrial fibrillation (AF). This computer model study reveals two principal phenomena: if the branching is distant from the driving rotor (>19 mm), the load causes local slowing of conduction or wavebreaks. If the driving rotor is close to the branching, the increased load causes first a slow drift of the rotor towards the branching. Finally, the rotor anchors, and a stable, repeatable pattern of activation can be observed. Variation of the bundle geometry from a cylindrical, volumetric structure to a flat strip of a comparable load in a monolayer model changed the local activation sequence in the proximity of the bundle. However, the global behavior and the basic effects are similar in all models. Wavebreaks in branching tissue contribute to the chaotic nature of AF (fibrillatory conduction). The stabilization (anchoring) of driving rotors by branching tissue might contribute to maintain sustained AF.

Development of a deterministic XML schema by resolving structure ambiguity of HL7 messages

Health level 7 (HL7) is a standard for medical information exchange. It defines data transfers for the application systems in the healthcare environment. Alternatively, the extensible markup language (XML) is a standard for data exchange using the Internet. If exchange messages follow the content and the sequence defined by HL7 and are expressed in the XML format, the system may benefit from the advantages of both standards. In creating the XML schema, we found ambiguities in HL7 message structures that cause the XML schema to be non-deterministic. These ambiguous expressions are summarized within 12 structures and can be replaced with equivalent or similar unambiguous structures. The finite state automata are used to verify expression equivalence. Applying this schema, an XML document may eliminate redundant segment group definitions and make the structure simple and easy to reproduce. In this paper, we discuss the methods and our experience in resolving ambiguous problems in HL7 messages to generate a deterministic XML schema.