{"title":"分析新西兰遗传服务的信息管理需求","authors":"Yulong Gu, J. Warren","doi":"10.1109/APSEC.2008.65","DOIUrl":null,"url":null,"abstract":"The development of genetic services within healthcare systems is a global phenomenon that raises challenges for managing genetic information. This paper describes an ongoing qualitative study to collect stakeholder perspectives of New Zealand (NZ) genetic services concerning genetic information management. We are conducting semi-structured interviews to build an understanding of their experiences, expectations, and concerns. The data analysis takes a general inductive approach with an analytic comparison strategy and evaluation research techniques. This study draws on past social and health science theories, on our experience in the NZ genetics context, and on emerging issues in the domain. The study result will provide deeper insights on how the genetic service system works and where it should go. The project deliverables will include a structured synthesis of stakeholder requirements, NZ genetic information management principles and goals.","PeriodicalId":218839,"journal":{"name":"2008 15th Asia-Pacific Software Engineering Conference","volume":"195 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards Analysing Information Management Requirements in New Zealand Genetic Services\",\"authors\":\"Yulong Gu, J. Warren\",\"doi\":\"10.1109/APSEC.2008.65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of genetic services within healthcare systems is a global phenomenon that raises challenges for managing genetic information. This paper describes an ongoing qualitative study to collect stakeholder perspectives of New Zealand (NZ) genetic services concerning genetic information management. We are conducting semi-structured interviews to build an understanding of their experiences, expectations, and concerns. The data analysis takes a general inductive approach with an analytic comparison strategy and evaluation research techniques. This study draws on past social and health science theories, on our experience in the NZ genetics context, and on emerging issues in the domain. The study result will provide deeper insights on how the genetic service system works and where it should go. The project deliverables will include a structured synthesis of stakeholder requirements, NZ genetic information management principles and goals.\",\"PeriodicalId\":218839,\"journal\":{\"name\":\"2008 15th Asia-Pacific Software Engineering Conference\",\"volume\":\"195 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 15th Asia-Pacific Software Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSEC.2008.65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 15th Asia-Pacific Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSEC.2008.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Analysing Information Management Requirements in New Zealand Genetic Services
The development of genetic services within healthcare systems is a global phenomenon that raises challenges for managing genetic information. This paper describes an ongoing qualitative study to collect stakeholder perspectives of New Zealand (NZ) genetic services concerning genetic information management. We are conducting semi-structured interviews to build an understanding of their experiences, expectations, and concerns. The data analysis takes a general inductive approach with an analytic comparison strategy and evaluation research techniques. This study draws on past social and health science theories, on our experience in the NZ genetics context, and on emerging issues in the domain. The study result will provide deeper insights on how the genetic service system works and where it should go. The project deliverables will include a structured synthesis of stakeholder requirements, NZ genetic information management principles and goals.