From Integration Profiles to Interoperability Testing for Smart Energy Systems at Connectathon Energy

The project Integrating the Energy System (IES) Austria recognises interoperability as key enabler for the deployment of smart energy systems. Interoperability is covered in the Strategic Energy Technology Plan (SET-Plan) activity A4-IA0-5 and provides an added value because it enables new business options for most stakeholders. The communication of smart energy components and systems shall be interoperable to enable smooth data exchange, and thereby, the on demand integration of heterogeneous systems, components and services. The approach developed and proposed by IES, adopts the holistic methodology from the consortium Integrating the Healthcare Enterprise (IHE), established by information technology (IT) vendors in the health sector and standardised in the draft technical report ISO DTR 28380-1, to foster interoperable smart energy systems. The paper outlines the adopted IES workflow in detail and reports on lesson learnt when trial Integration Profiles based on IEC 61850 were tested at the first Connectathon Energy instalment, organised in conjunction with the IHE Connectathon Europe 2018. The IES methodology is found perfectly applicable for smart energy systems and successfully enables peer-to-peer interoperability testing among vendors. The public specification of required Integration Profiles, to be tested at subsequent Connectathon Energy events, is encouraged.

A New Standards-based Grammar for Linking Aggregate Datasets

The theme of this session is the linking and cross-referencing of disparate aggregate datasets that need to be combined for pruporses of reporting and/or analysis. The session leverages, as a global case study, the US Government's President's Emergency Plan for AIDS Relief (PEPFAR) programme. PEPFAR is a $7 billion per year programme supporting the delivery of HIV-related services, medicines, and commodities in 58 low and middle-income countries (www.pepfar.gov). PEPFAR has an immense datastore of monitoring, evaluation and reporting (MER) indicators that have been collected from all its supported countries over the course of its 15 years of operations. The goal of the session is to describe for attendees a newly-developed, standards-based grammar for describing interoperable aggregate data exchange and the message schemas needed to support it. The session facilitators are the primary authors of this new standard. Using the PEPFAR case study as a working example, the session explores how disparate HIV data elements and indicators from PEPFAR-supported countries are cross-referenced to each other and collected into a single central datastore to support analysis, management and reporting across the global programme. The specific HIV example will be elaborated upon to illustrate generalizable techniques that can be applied to linking aggregate datasets in other use cases (e.g. reporting to the annual WHO global health observatory, multiple provinces reporting to a federal health data institute, etc.). The session will be facilitated by Xenophon Santas and James Kariuki of the US CDC, Bob Jolliffe of the University of Oslo's Health Information Systems Programme (HISP) and Derek Ritz of ecGroup Inc (a Canadian health informatics consultancy). All four facilitators are members of the Quality, Research and Publich Health (QRPH) technical committee of the international digital health standards body, Integrating the Healthcare Enterprise (IHE; www.ihe.net). The session's content and examples will leverage the facilitators' first-hand experience working on HIV-related projects in low and middle-income countries (e.g. South Africa, Rwanda, Kenya, Malawi, Zimbabwe, Uganda, Sierre Leone, Vietnam, the Philippines and elsewhere). It is intended that the session will be conducted using an interactive workshop style. Attendees who wish it will have an opportunity to engage in participative (hands-on) learning. To get started, information will be provided about the standards-based grammar and how it works. Then, results from the facilitators' efforts leveraging this method to link multiple disparate HIV-related datasets will be presented. As a hands-on activity, attendees who have notebook computers will be able to connect to an open source software solution (www.dhis2.org) and "play in a sandbox" to try for themselves some of the techniques that have been described. As learning objectives, it is expected that attendees will: Be introduced to data linking use cases outside of their everyday experience Learn about a new technique for expressing aggregate content schema that supports interoperable data exhange Apply new skills in a hands-on, worked example.

IHE-konforme Patientenakte - Rhein-Kreis Neuss Kliniken stellen sich für die digitale Zukunft auf

Die Rhein-Kreis-Neuss (RKN) Kliniken GmbH ist mit der Initiative Integrating the Healthcare Enterprise (IHE) auf dem Weg zu einer standardisierten elektronischen und revisionssicheren Patientenakte. Aufbauen soll die der Essener IT-Dienstleister März Network Services. „Für das medizinische Universalarchiv und die IHE konforme Kommunikationsplattform wird ein Electronic Health Record (EHR) von Tiani Spirit und für die administrativen oder nicht-patientenbezogenen Verwaltungsdaten wird das Dokumenten Management System (DMS) von Marabu eingesetzt“, erläutert Adam Dambiec, Key Account Manager für die RKN Kliniken bei März.

First Steps Towards Process Mining in Distributed Health Information Systems

Business Intelligence approaches such as process mining can be applied to the healthcare domain in order to gain insight into the complex processes taking place. Disclosing asis processes helps identify room for improvement and answers questions from medical professionals. Existing approaches are based on proprietary log data as input for mining algorithms. Integrating the Healthcare Enterprise (IHE) defines in its Audit Trail and Node Authentication (ATNA) profile how real-world events must be recorded. Since IHE is used by many healthcare providers throughout the world, an extensive amount of log data is produced. In our research we investigate if audit trails, generated from an IHE test system, carry enough content to successfully apply process mining techniques. Furthermore we assess the quality of the recorded events in accordance with the maturity level scoring system. A simplified simulation of the organizational workflow in a radiological practice is presented. Based on this simulation a process miing task is conducted.