SAVSNET: Developing the research potential of veterinary health informatics in the UK through growth, partnership and collaboration.

宠物（猫、狗、兔子等）的疾病不仅影响到它们的福利，也影响到人类的福利。尽管如此，我们通常对动物生病的原因以及它们的主人带它们去看兽医的原因知之甚少。“健康信息学”是彻底改变对人类疾病理解的一个研究领域，其中大量的电子患者健康记录（EHRs）是匿名的，并被汇编成“大数据”资源，从而允许新的研究见解和发现。在建立国家研究网络（法尔研究所）的推动下，医学信息学最近得到了迅速发展，而兽医卫生信息学仍然是一个相对未开发的机会。SAVSNET（小动物兽医监测网；www.savsnet.co.uk）是宠物数据资源的先驱。在短短两年多的时间里，我们从英国各地的诊断实验室（每天约80,000次测试）和166个兽医实践（每天约3000次咨询记录）实时收集了健康记录。这使我们能够创建两个每天都在更新和增长的大型数据资源（90万份电子病历和4000万份测试结果）。我们的新软件允许主治兽医或护士只需一键就能指出看到动物的主要原因，作为回报，这些兽医和护士可以分析他们自己的数据。这些数据被用于提供免费获取的疾病信息和监测更新，以及越来越多的新的和新颖的研究合作组合，包括人口统计学、预防性卫生保健、抗菌药物使用、兔子疾病以及肾脏、呼吸系统和胃肠道疾病的研究。SAVSNET现在被公认为兽医健康信息学研究这一新领域的国际领导者。这项建议的目的是增加使用SAVSNET数据进行的研究的数量。我们将利用并巩固我们强大的基础，最大限度地利用这些数据，与广泛的合作者一起为新的研究提供信息，所有这些都是为了改善动物和人类的健康和福祉。本应用程序的目标是：1：使更多的实验室和兽医实践能够提供数据。由此产生的数据量的增加将有助于确保我们的数据代表整个英国，并允许研究甚至罕见的疾病。2：加强我们的数据库，以确保它们能够应付庞大的数据量和不断增长的用户。3：为研究人员建立一个基于网络的“一站式商店”（e-Research Portal），使数据更容易获取、更容易理解，并增加其在研究和出版中的使用。通过加强与曼彻斯特大学法尔研究所医学健康信息学同事的合作，发展世界领先的兽医健康信息学研究基地。5 .开发和展示新的数据分析工具，通过SAVSNET电子研究门户将这些工具级联给其他用户。文本挖掘，即教会计算机如何从非结构化的写作中提取有用的含义，将被用于释放兽医和护士进入临床叙述的研究潜力。这些工具将在两个具有重要战略意义的研究项目的背景下开发；1)与抗菌剂使用相关的因素；2)气候背景下蜱虫的季节性活动。6 .多样化数据使用，为未来SAVSNET的可持续性发展商业模式。在BBSRC的支持下，我们将扩大我们的用户基础，并从学术界和工业界获得资金，从而使SAVSNET能够实现自筹资金。在项目结束时，我们将建立一个可持续发展的国际卓越兽医健康信息学研究中心，开发创新的软件解决方案，以回答21世纪现实世界中一些关键的动物和人类健康问题。

Illness of pets (cats, dogs, rabbits etc.) impacts not just on their welfare, but also on that of humans. Despite this, we often have poor understanding of what makes individual animals unwell, and what makes their owners take them to the vet. One area of research revolutionising such understanding of human illness is "health informatics", where large volumes of electronic patient health records (EHRs) are anonymised and compiled into a "Big data" resource, allowing new research insights and discoveries. Whilst medical informatics has been seen a rapid recent expansion, catalysed by the establishment of a national research network (the Farr Institute), veterinary health informatics remains a relatively unexplored opportunity. SAVSNET (Small Animal Veterinary Surveillance NETwork; www.savsnet.co.uk) is pioneering such data resources for pets. In just over 2 years, we have collected health records in real-time from diagnostic laboratories (~80,000 tests/day) and 166 veterinary practices (~3000 consultation records/day) from across the UK. This has allowed us to create two large data resources (>900,000 EHRs, >40million test results) that are updated and growing daily. Our novel software allows the attending veterinary surgeon or nurse with a single key stroke to indicate the main reason the animal was seen, and in return, allows the same vets and nurses to analyse their own data. These data are being used to provide freely-accessible disease information and surveillance updates, along with a growing portfolio of new and novel research collaborations including studies on population demographics, preventative health care, antibacterial use, rabbit disease, as well as kidney, respiratory and gastrointestinal diseases. SAVSNET is now recognised as an international leader in this new area of veterinary health informatics research.The aim of this proposal is to increase the amount of research carried out using SAVSNET data. We will capitalise and build on our strong foundation, maximising the opportunities for these data to inform new research with a wide group of collaborators, all with the intention of improving both animal and human health and wellbeing.The objectives of this application are to:1: Enable more laboratories and veterinary practices to contribute data. The resultant increase in data volumes will help ensure our data is representative of the whole of the UK, and allow the study of even rare diseases. 2: Strengthen our databases to ensure they can cope with the large data volumes and growing number of users.3: Build a web based "one-stop-shop" for researchers (e-Research Portal), to make the data more accessible, easier to understand and increase its use in research and publication. 4: Develop a world leading veterinary health informatics research base through strengthening collaboration with medical health informatics colleagues at the Farr Institute, University of Manchester.5: Develop and showcase new data analyses tools, cascading these to other users via the SAVSNET e-Research Portal. Text mining, where computers are taught how to extract useful meaning from unstructured writing, will be used to unlock the research potential of the clinical narrative entered by vets and nurses. These tools will be developed in the context of two strategically important research projects; 1) factors associated with use of antibacterials and 2) seasonal tick activity in the context of climate. 6: Diversify data use, developing a business model for future SAVSNET sustainability. With BBSRC support, we will grow our user base and funding from academia and industry, to allow SAVSNET to become self-funding.At the end of the project, we will have established a sustainable international centre of excellence for veterinary health informatics research, developing innovative software solutions, to answer some of the critical real-world animal and human health problems of the 21st century.