Exhaustive Data- and Problem-Driven use Case Identification and Implementation for Electric Drive Production

2018 ◽  
Author(s):  
Achim Kampker ◽  
Kai Kreiskother ◽  
Max Kleine Buning ◽  
Tom Moller ◽  
Sven Windau
Keyword(s):  
Electric Drive ◽  
Use Case ◽  
Case Identification

scholarly journals COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology

10.2196/21434 ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. e21434 ◽  
Author(s):  
Simon de Lusignan ◽  
Harshana Liyanage ◽  
Dylan McGagh ◽  
Bhautesh Dinesh Jani ◽  
Jorgen Bauwens ◽  
...  
Keyword(s):  
Public Health ◽  
Primary Care ◽  
National Level ◽  
Mitigation Measures ◽  
Identification Algorithm ◽  
Use Case ◽  
Sentinel Network ◽  
Case Identification ◽  
Ontological Approach ◽  
Application Ontology

Background Creating an ontology for COVID-19 surveillance should help ensure transparency and consistency. Ontologies formalize conceptualizations at either the domain or application level. Application ontologies cross domains and are specified through testable use cases. Our use case was an extension of the role of the Oxford Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) to monitor the current pandemic and become an in-pandemic research platform. Objective This study aimed to develop an application ontology for COVID-19 that can be deployed across the various use-case domains of the RCGP RSC research and surveillance activities. Methods We described our domain-specific use case. The actor was the RCGP RSC sentinel network, the system was the course of the COVID-19 pandemic, and the outcomes were the spread and effect of mitigation measures. We used our established 3-step method to develop the ontology, separating ontological concept development from code mapping and data extract validation. We developed a coding system–independent COVID-19 case identification algorithm. As there were no gold-standard pandemic surveillance ontologies, we conducted a rapid Delphi consensus exercise through the International Medical Informatics Association Primary Health Care Informatics working group and extended networks. Results Our use-case domains included primary care, public health, virology, clinical research, and clinical informatics. Our ontology supported (1) case identification, microbiological sampling, and health outcomes at an individual practice and at the national level; (2) feedback through a dashboard; (3) a national observatory; (4) regular updates for Public Health England; and (5) transformation of a sentinel network into a trial platform. We have identified a total of 19,115 people with a definite COVID-19 status, 5226 probable cases, and 74,293 people with possible COVID-19, within the RCGP RSC network (N=5,370,225). Conclusions The underpinning structure of our ontological approach has coped with multiple clinical coding challenges. At a time when there is uncertainty about international comparisons, clarity about the basis on which case definitions and outcomes are made from routine data is essential.

scholarly journals COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology (Preprint)

2020 ◽  
Author(s):  
Simon de Lusignan ◽  
Harshana Liyanage ◽  
Dylan McGagh ◽  
Bhautesh Dinesh Jani ◽  
Jorgen Bauwens ◽  
...  
Keyword(s):  
Public Health ◽  
Primary Care ◽  
National Level ◽  
Mitigation Measures ◽  
Identification Algorithm ◽  
Use Case ◽  
Sentinel Network ◽  
Case Identification ◽  
Ontological Approach ◽  
Application Ontology

BACKGROUND Creating an ontology for COVID-19 surveillance should help ensure transparency and consistency. Ontologies formalize conceptualizations at either the domain or application level. Application ontologies cross domains and are specified through testable use cases. Our use case was an extension of the role of the Oxford Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) to monitor the current pandemic and become an in-pandemic research platform. OBJECTIVE This study aimed to develop an application ontology for COVID-19 that can be deployed across the various use-case domains of the RCGP RSC research and surveillance activities. METHODS We described our domain-specific use case. The actor was the RCGP RSC sentinel network, the system was the course of the COVID-19 pandemic, and the outcomes were the spread and effect of mitigation measures. We used our established 3-step method to develop the ontology, separating ontological concept development from code mapping and data extract validation. We developed a coding system–independent COVID-19 case identification algorithm. As there were no gold-standard pandemic surveillance ontologies, we conducted a rapid Delphi consensus exercise through the International Medical Informatics Association Primary Health Care Informatics working group and extended networks. RESULTS Our use-case domains included primary care, public health, virology, clinical research, and clinical informatics. Our ontology supported (1) case identification, microbiological sampling, and health outcomes at an individual practice and at the national level; (2) feedback through a dashboard; (3) a national observatory; (4) regular updates for Public Health England; and (5) transformation of a sentinel network into a trial platform. We have identified a total of 19,115 people with a definite COVID-19 status, 5226 probable cases, and 74,293 people with possible COVID-19, within the RCGP RSC network (N=5,370,225). CONCLUSIONS The underpinning structure of our ontological approach has coped with multiple clinical coding challenges. At a time when there is uncertainty about international comparisons, clarity about the basis on which case definitions and outcomes are made from routine data is essential.

Validation and verification of shipyard logistics simulation system and its use case identification

2017 ◽  
Author(s):  
Yong-Kuk Jeong ◽  
Hui-Qiang Shen ◽  
SeungHoon Nam ◽  
Youngmin Kim ◽  
Jong-Gye Shin ◽  
...  
Keyword(s):  
Simulation System ◽  
Use Case ◽  
Validation And Verification ◽  
Case Identification

Pemodelan Website Geografis Tempat Pelayanan Kesehatan di Palembang

2018 ◽  
Vol 7 (2) ◽  
pp. 144
Author(s):  
Arsia Rini ◽  
Heki Aprianto
Keyword(s):  
Object Oriented ◽  
Use Case ◽  
Activity Diagram ◽  
Use Case Diagram

Tempat pelayanan kesehatan bertujuan untuk memberikan pelayanan kesehatan kepada masyarakat melalui lembaga institusi pelayanan kesehatan. Masyarakat di Kota Palembang mendapatkan informasi tempat pelayanan kesehatan melalui informasi masyarakat sekitar, lembaga pelayanan kesehatan dan beberapa situs internet yang ditampilkan secara terpisah. Maka sebuah website geografis diperlukan untuk menampilkan tata letak lokasi pelayanan kesehatan dan informasi lengkap tentang pelayanan kesehatan di Kota Palembang. Penelitian ini bertujuan untuk membuat sebuah pemodelan website geografis tempat pelayanan kesehatan di Kota Palembang. Pemodelan yang digunakan berbasis object oriented dengan menerapkan use case diagram dan activity diagram.

Prototype Aplikasi Analisa Sistem Informasi Inventory Barang Pada PT Anugrah Distributor Indonesia

ICIT Journal ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 50-60
Author(s):  
Ilamsyah Ilamsyah ◽  
Sri Rahayu ◽  
Dewi Lisnawati
Keyword(s):  
Sequence Diagram ◽  
Class Diagram ◽  
Use Case ◽  
Modelling Language ◽  
Activity Diagram ◽  
Unified Modelling Language ◽  
Use Case Diagram

Inventory adalah aktiva yang meliputi barang-barang milik perusahaan, instansi, bidang pendidikan dan lain-lain. PT Anugrah Distributor Indonesia merupakan instansi milik perusahaan teknologi informasi yang didalamnya terdapat bagian logistik. Logistik berfungsi untuk mengelola kegiatan transaksi pembelian dan pengeluaran barang. Pengelolaan tersebut masih memanfaatkan Ms Excel. Sistem ini memakan waktu lama dalam proses pengelolaan data dan tingkat keakuratannya belum maksimal. Untuk memperoleh keakuratan data, logistik membutuhkan suatu sistem yang efisien, efektif dan valid dalam mengelola kegiatan transaksi pembelian dan pengeluaran barang. Dengan demikian dalam penelitian ini peneliti melakukan pengembangan sistem logistik yang saling terintegrasi menggunakan Unified Modelling Language (UML) yang digambarkan dengan Use Case Diagram, Activity Diagram, Sequence Diagram dan Class Diagram dan menggunakan bahasa pemprogramman PHP (Hypertext Preprocessor). Hasil akhir dari penelitian ini adalah sistem informasi inventory stok barang yang sesuai dengan kebutuhan dan memudahkan user dalam menginput dan membuat laporan persediaan barang. Sistem ini dibuat agar proses inventory dapat terkendali dengan baik, menjadi efektif dan efisien. Kata kunci: Sistem inventory, UML, PHP, Sistem Informasi

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