Approaching Clinical Data Transformation from Disparate Healthcare IT Systems Through a Modular Framework.

Many healthcare IT systems in Germany are unable to interoperate with other systems through standardised data formats. Therefore it is difficult to store and retrieve data and to establish a systematic collection of data with provenance across systems and even healthcare institutions. We outline the concept for a Transformation Pipeline that can act as a processor for proprietary medical data formats from multiple sources. Through a modular construction, the pipeline relies on different data extraction and data enrichment modules as well as on interfaces to external definitions for interoperability standards. The developed solution is extendable and reusable, enabling data transformation independent from current format definitions and entailing the opportunity of collaboration with other research groups.

Ontology-based specification, identification and analysis of perioperative risks.

BACKGROUND: Medical personnel in hospitals often works under great physical and mental strain. In medical decision-making, errors can never be completely ruled out. Several studies have shown that between 50 and 60% of adverse events could have been avoided through better organization, more attention or more effective security procedures. Critical situations especially arise during interdisciplinary collaboration and the use of complex medical technology, for example during surgical interventions and in perioperative settings (the period of time before, during and after surgical intervention). METHODS: In this paper, we present an ontology and an ontology-based software system, which can identify risks across medical processes and supports the avoidance of errors in particular in the perioperative setting. We developed a practicable definition of the risk notion, which is easily understandable by the medical staff and is usable for the software tools. Based on this definition, we developed a Risk Identification Ontology (RIO) and used it for the specification and the identification of perioperative risks. RESULTS: An agent system was developed, which gathers risk-relevant data during the whole perioperative treatment process from various sources and provides it for risk identification and analysis in a centralized fashion. The results of such an analysis are provided to the medical personnel in form of context-sensitive hints and alerts. For the identification of the ontologically specified risks, we developed an ontology-based software module, called Ontology-based Risk Detector (OntoRiDe). CONCLUSIONS: About 20 risks relating to cochlear implantation (CI) have already been implemented. Comprehensive testing has indicated the correctness of the data acquisition, risk identification and analysis components, as well as the web-based visualization of results.

Using Fast Healthcare Interoperability Resources (FHIR) for the Integration of Risk Minimization Systems in Hospitals.

With the growing strain of medical staff and complexity of patient care, the risk of medical errors increases. In this work we present the use of Fast Healthcare Interoperability Resources (FHIR) as communication standard for the integration of an ontology- and agent-based system to identify risks across medical processes in a clinical environment.

Serial measurement of Therapeutic Intervention Scoring System-28 (TISS-28) in a surgical intensive care unit.

PURPOSE: The aim of the study was to assess the use of the Therapeutic Intervention Scoring System-28 (TISS-28) in surgical intensive care unit (ICU) patients and the relationship of the score to the type of surgery, severity of illness, and outcome in these patients. MATERIALS AND METHODS: Prospectively collected data from all patients admitted to a postoperative ICU between March 1, 2004, and June 30, 2006, were analyzed retrospectively. RESULTS: A total of 6903 patients were admitted during the study period (63.5% male; mean age, 62.3 years) constituting 29 140 observation days. The mean Simplified Acute Physiology Score (SAPS) II, Sequential Organ Failure Assessment (SOFA), and TISS-28 scores on the day of ICU admission were 36.9 ± 18.2, 5.8 ± 3.9, and 43.2 ± 10.8, respectively. The highest admission TISS-28 was observed in patients who underwent cardiothoracic surgery (47.7 ± 10.1), the lowest in neurosurgical patients (40 ± 9.6), and both declined during the 2 weeks after ICU admission; however, in trauma patients and those admitted after gastrointestinal surgery, TISS scores increased gradually after the first 2 to 5 days in the ICU. The TISS-28 score was moderately correlated to SAPS II (R(2) = 0.42; P < .001) and SOFA score (R(2) = 0.48; P < .001) throughout the ICU stay and was consistently higher in nonsurvivors than in survivors during the first 2 weeks in the ICU. CONCLUSIONS: There are marked variations in TISS-28 scores according to the type of surgery. Therapeutic Intervention Scoring System-28 correlates with the severity of illness and outcome in these patients.