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This document describes the development of an open source web application called HSMapper to help optimize pediatric hospital finding in Italy. The app collects reliable data from certified sources, provides an easy-to-use interface on web and mobile, and analyzes data using GIS tools. It was developed in close collaboration with medical experts and uses open technologies. The initial case study focused on pediatric facilities in Sicily. The results show a prototype that offers improved accessibility to existing facilities, and the developers aim to expand data collection, add more features, and implement analysis tools.
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DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
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Hsmapper
- 1. HSMapper Davide Kirchner Andrea Nodari Matteo Poletti Federico Scrinzi With acknowledgements to: Cesare Furlanello, Head of MPBA unit, FBK Alberto Tozzi, Head of scientific communication, S.I.P. 1 Maria Cristina Maggio, Sports medicine, S.I.P.
- 2. The background Suppose your child is ill and you have to search a specialized pediatric center: What would you do? Ask your family pediatrician? Ask friends? Search on the Internet? 2
- 3. The background There is no centralized, structured and reliable archive of Italian pediatric facilities! 3
- 4. The goal Optmize pediatric hospital finding This means finding the hospital that: Best fits the child's needs Is as nearest (in time) as possible Provides services at the moment of need 4
- 5. Our web app Collect reliable data from certificated sources → Collaboration with S.I.P Provide an easytouse interface accessible also from mobile devices → Web platform Analyze data (e.g. service gaps) → GIS tools 5
- 6. First Case Study (real data) Starting region: Sicily Preexistence of non structured data Architecture design: Close collaboration with domain experts (S.I.P) and GEOICT specialists (FBK) Usability study Continuous feedback from S.I.P members 6
- 7. Open source Web platform 7
- 8. Open data HSMapper Open Street Map 8
- 9. Integration of Technologies All tools we used are open source! 9
- 10. Results and conclusion We developed a scalable and versatile web application to: Collect and manage data Search and locate pediatric facilities It is only a prototype but it already offers tools to improve the accessibility to the existing facilities. Developed with SIP. It is our aim to: Further improve the software adding more features Achieve a good amount of data in the system Implement tools for data analysis 10