IT在医学上的应用
医疗IT专用术语一基本术语
医疗IT专用术语一基本术语随着科技的不断发展，医疗领域的信息技术也得到了广泛应用。
医疗IT专用术语是指在医疗信息化过程中使用的特定词汇和术语。
这些术语是医务人员和技术人员之间的桥梁，确保顺畅的沟通和高效的工作流程。
在本文中，我们将介绍一些医疗IT的基本术语。
1. 电子病历（Electronic Health Record，EHR）：将患者的医疗记录以电子形式存储和管理的系统。
EHR可以集成患者的个人信息、病历、用药和检查结果等数据，提供一站式的全面医疗记录。
2. 电子健康记录（Electronic Medical Record，EMR）：类似于EHR，但更偏向于记录患者的医学信息，如临床诊断、治疗计划和药物处方等。
EMR通常与特定的医疗机构或医生相关联。
3. 医疗信息系统（Medical Information System，MIS）：指应用信息技术来管理医疗信息和支持医疗管理的系统。
MIS包括电子病历系统、医疗图像系统、药品管理系统等。
4. 电子处方（Electronic Prescription，e-Prescription）：通过电子化方式传递给药房的处方医嘱。
电子处方的使用可以减少处方错误和提高患者的用药安全性。
5. 医学图像存储与传输系统（Picture Archiving and Communication System，PACS）：用于存储、传输和查看医学图像的系统。
PACS可以将X光片、CT扫描、核磁共振图像等数字化，方便医生进行远程诊断和交流。
6. 电子预约（Electronic Appointment Booking）：患者可以通过互联网或手机应用程序预约医生的系统。
电子预约可以减少排队等候时间，提高医疗资源利用率。
7. 电子监护系统（Electronic Monitoring System）：用于监测患者生理参数的设备和软件。
电子监护系统可以实时监测患者的心率、血压、呼吸和体温等指标，提供及时的警报和干预。
英语作文人工智能在医学检验中的应用
英语作文人工智能在医学检验中的应用全文共10篇示例，供读者参考篇1Artificial intelligence is super cool! It can help doctors and scientists do a lot of amazing things in the field of medical testing. Let me tell you all about it!Firstly, AI can analyze big chunks of data super quickly. This is super important in medical testing because there are tons of test results and reports to go through. AI can spot patterns and trends that humans might miss. It can also help doctors make faster and more accurate diagnoses.Secondly, AI can make testing equipment super smart. For example, there are machines that use AI to read X-rays or detect cancer cells. This means less room for error and more reliable results.Thirdly, AI can even predict future health problems. By analyzing someone's medical history and lifestyle, AI can give doctors a heads-up on possible risks. This way, doctors can prevent illnesses before they even happen.Overall, artificial intelligence is changing the game in medical testing. It's making the process faster, more accurate, and even more personal. So next time you go to the doctor, remember that there might be a little bit of AI magic at work behind the scenes!篇2Title: Artificial Intelligence in Medical TestHey guys! Today I want to talk about how cool artificial intelligence (AI) is in medical tests. AI is like having a super smart robot that can help doctors do tests better and faster.First off, AI can analyze a lot of data really quickly. Doctors can feed AI lots of information about a patient, like their symptoms, medical history, and test results. AI can then use all this info to come up with possible diagnoses and treatment plans. It's kind of like having a second brain to help out!Secondly, AI can help doctors make sense of all the data from medical tests. Sometimes, there's just too much information for a human to analyze on their own. But AI can handle big amounts of data with no problem. It can find patterns in the data and spot things that doctors might miss.Another cool thing about AI in medical tests is that it can help with predicting diseases. By looking at a patient's info over time, AI can make predictions about their health in the future. This can help doctors catch diseases early and start treatment sooner.In conclusion, AI is doing amazing things in medical tests. It's helping doctors make better decisions, analyze data faster, and predict diseases. With AI on our team, we're one step closer to better healthcare for everyone. Isn't that awesome? Let's cheer for AI in medical tests!篇3Artificial intelligence is something super cool that helps doctors and scientists in medical tests. It's like having a super smart robot friend to help them out!So, how does AI help in medical tests? Well, AI can analyze a huge amount of medical data super fast, way faster than a human doctor could. This helps doctors make quicker and more accurate diagnoses. For example, AI can look at images likeX-rays or MRIs and pick up on tiny details that a human might miss.Another way AI is used in medical tests is in monitoring patients. AI can track things like heart rate, blood pressure, and other vital signs in real time. It can alert doctors if there are any unusual changes, so they can take action right away.AI can also help with predicting diseases. By analyzing a person's medical history and other data, AI can calculate the risk of developing certain diseases in the future. This can help doctors come up with a personalized plan to keep people healthy.Overall, artificial intelligence is like having a super smart assistant in the medical field. It helps doctors save time, make better decisions, and ultimately provides better care for patients. So next time you go to the doctor, remember that AI might be working behind the scenes to keep you healthy!篇4Artificial intelligence (AI) is like a super cool robot doctor that helps real doctors in the hospital. It's like having a smart buddy who can do lots of difficult things to help people stay healthy. One of the ways AI is being used in the medical field is in medical testing.When people go to the hospital to get checked out, they sometimes need to have blood tests or other medical tests done to see if they're okay. AI can help doctors analyze these test results faster and more accurately. This means that patients can get their results quicker and doctors can make better decisions about their treatment.AI can also help doctors spot patterns and trends in large amounts of data. This can be super helpful when it comes to finding new ways to diagnose diseases or coming up with better treatments. It's like having a super smart detective on the case, looking for clues to help solve medical mysteries.Overall, AI is like a helpful friend in the hospital who can make things easier and better for both doctors and patients. It's exciting to think about all the ways AI will continue to help in the medical field and improve healthcare for everyone. AI is definitely a super cool tool that we should all be thankful for!篇5Artificial intelligence is like a super smart robot that can help doctors do their work better. It can be used in medical tests to help diagnose diseases and find the best treatments for patients.When doctors need to do a blood test or a urine test, they can use artificial intelligence to analyze the results quickly and accurately. This can help them find any problems faster and start treating patients sooner.Artificial intelligence can also help doctors look at X-rays and MRIs to see if there are any signs of cancer or other diseases. It can spot things that are too small for the human eye to see, which can help doctors make a diagnosis more quickly and accurately.In the future, artificial intelligence could even help doctors come up with new treatments for diseases. It can analyze lots of data about different patients and treatments to find patterns and suggest new ways to help people get better.So, artificial intelligence is like a super smart friend for doctors. It can help them do their jobs better and help patients get better faster. That's why it's so important for medical tests and treatments.篇6Artificial intelligence is super cool, you know? It's like having a super smart robot friend that can help doctors in the hospital.In medical testing, AI can help doctors analyze results and make diagnoses faster than ever before. It can look at tons of data and find patterns that humans might miss. This can help doctors make better decisions and give patients better care.For example, AI can analyze images from MRIs and X-rays to detect diseases like cancer. It can also help with testing blood samples and finding diseases early on. This can save lives and help people get treatment sooner.Another way AI is used in medicine is with chatbots. These are like virtual assistants that can help patients answer questions and get information about their health. They can also help doctors schedule appointments and keep track of patients' records.Overall, AI is making a huge difference in medicine. It's helping doctors work faster, smarter, and more effectively. And that's pretty amazing, don't you think?篇7Artificial intelligence (AI) is super cool! It is like a super smart robot that can help doctors do medical tests. Let me tell you how AI is used in medical tests.First, AI can analyze a lot of data really fast. Doctors can put in test results, symptoms, and other medical information into the AI system. Then the AI can quickly find patterns and give suggestions to help doctors make better decisions.Second, AI can help with diagnosing diseases. It can look at X-rays, MRIs, and other images to help doctors find problems like tumors or broken bones. AI can even learn from past cases to become better at finding diseases.Third, AI can predict risks of getting sick. It can look at a person's health history and lifestyle habits to see if they are at risk for diseases like diabetes or heart disease. This way, doctors can give advice on how to stay healthy.In conclusion, AI is a super useful tool in medical tests. It can help doctors analyze data, diagnose diseases, and predict health risks. With AI's help, doctors can provide better care for patients.I think AI is really cool and can make our lives healthier and happier!篇8Artificial intelligence is really cool! Do you know that it is now being used in medical testing? Let me tell you all about it!First of all, what is artificial intelligence? It's like having a really smart computer that can think and learn on its own. In medical testing, AI can help analyze all the data that doctors collect from patients. This makes it much faster and more accurate than just relying on humans.For example, AI can help doctors diagnose diseases more quickly. It can look at all the test results and medical history of a patient, and then suggest the best course of action. This can save a lot of time and even save lives!AI can also help in research. Scientists can use it to analyze large amounts of data and find patterns that humans might miss. This can lead to new discoveries and advances in medicine.But of course, AI is still just a tool. Doctors and researchers still need to use their own knowledge and experience to make decisions. And we should always remember that the most important thing in medicine is caring for patients and helping them feel better.In conclusion, artificial intelligence is a really amazing technology that is changing the way we do medical testing. It can help doctors make better decisions and find new ways to treat diseases. So next time you see a doctor using AI, remember how cool and helpful it is!篇9Artificial intelligence (AI) is a very cool thing that can do a lot of stuff, like help doctors with medical tests. Let me tell you all about it!First of all, what is AI? It’s like a super smart computer that can learn and make decisions just like a human. Doctors can use AI to analyze a lot of data quickly and accurately. This is super important in medical tests because doctors need to make the right decisions to help us get better.One way AI is used in medical tests is to analyze images. For example, if you get an X-ray, AI can help the doctor see if there are any problems by analyzing the image really fast. This can help doctors diagnose diseases like cancer much quicker than they could on their own.Another way AI helps is by analyzing lab test results. AI can look at a lot of data from blood tests or other tests and find patterns that might show if something is wrong. This can help doctors catch diseases early and start treatment sooner.AI can also help doctors make treatment plans by analyzing all the data they have on a patient. This can help doctors choosethe best treatment options for each person, based on their unique needs.So, you see, AI is a really cool tool that doctors can use in medical tests to keep us healthy and safe. It’s like having a super smart friend helping out the doctors, and that’s pretty awesome!篇10Artificial Intelligence in Medical TestingHey guys, have you ever heard of something called artificial intelligence? It's like super smart computer programs that can do all sorts of cool things, like play chess, drive cars, and even help doctors with medical testing!One way that artificial intelligence is being used in the medical field is in medical testing. You know how doctors sometimes need to run a bunch of tests on you to figure out what's wrong? Well, AI can help them analyze all that data really quickly and accurately.For example, AI algorithms can look at images from X-rays, MRIs, and CT scans to help doctors spot things like tumors, fractures, or other issues. This is super helpful because AI canpick up on stuff that human eyes might miss, and it can do it way faster too!AI can also help with things like blood tests. It can analyze all the different values and numbers in your blood work to help doctors make a diagnosis. Plus, AI can learn from all the data it processes, so it gets better and better at its job over time.Isn't that amazing? Artificial intelligence is really changing the game when it comes to medical testing. It's making things faster, more accurate, and helping doctors save lives! So next time you hear about AI, remember all the awesome things it's doing to help us stay healthy. Cool, right?。
人工智能在皮肤病诊断中的应用
互联网+应用nternet Application人工智能在皮肤病诊断中的应用□张政上海体素信息科技有限公司【摘要】皮肤病是最常见的疾病并且种类繁多，采用机器学习、计算机视觉等人工智能技术可实现自动、快速分类及特征识别。
【关键字】人工智能皮肤病辅助诊断机器学习计算机视觉引言皮肤类疾病影响全球约19亿人，是最常见的疾病之一，仅次于感冒、疲劳和头痛。
据估计，全球有25%的患者接受的治疗都是针对皮肤问题的，在这部分患者中，多达37%的人至少有过一次以上因皮肤问题而就医的情况。
皮肤病是发生率非常高的疾病之一，众所周知皮肤是人体最大的器官，因此多种内脏发生的疾病也可以在皮肤组织直接表现出来。
一、中国皮肤病诊疗现状及面临的问题皮肤病的诊断起着非常重要的重要，中国皮肤病诊疗现状表现为患病群体大但医护人员短缺。
统计结果显示2017 年中国皮肤病门诊量达2.4亿人次，但中华医学会2015年普査数据显示中国皮肤科医生人数仅为2.2万人，这一数据与巨大就诊需求相比，皮肤科的医疗资源严重不足。
皮肤科庞大的工作量以及皮肤科医生的短缺迫使一些患者只能在基层医院或全科医生进行相关皮肤类疾病就诊。
但基层医院皮肤病诊疗现状调查发现基层皮肤病诊疗资源严重缺乏，具体表现在：皮肤病医务人员数量不足，诊治水平亟待提高，诊断手段匮乏。
据统计，目前全科医生在诊断病情方面的准确率仅仅为24%-70%，远远不如皮肤病医生（诊断精确率可达77%-96%)。
三甲医院的医生对皮肤肿瘤良恶性诊断的正确率平均约为70%，而基层医院仅约为30%。
因此皮肤的常见病易误诊，皮肤的肿瘤易漏诊，对罕见病不熟悉，这就是我国目前基层皮肤病诊断所面对的严峻现实，这将可能导致大量皮肤类疾病不能得到及时和正确的治疗。
二、人工智能助力打破目前皮肤病诊疗的困局？与其他学科相比，皮肤病是比较依赖形态学特征的学科，目前皮肤病诊断主要是通过皮肤影像。
皮肤影像诊断由一开始的望诊，发展到用放大镜和显微镜辅助诊断，再到近年来流行的数字影像学技术。
医疗IT专用术语一：基本术语
医疗IT专⽤术语⼀：基本术语医疗IT专⽤术语⼀：基本术语1基本术语（1）医疗：医治、疾病的治疗，包含保健的内容，医疗服务、预防保健等。
（2）IT：信息技术（Information Technology）的英⽂缩写，是主要⽤于管理和处理信息所采⽤的各种技术的总称。
它主要是应⽤计算机科学和通信技术来设计、开发、安装和实施信息系统及应⽤软件。
它也常被称为信息和通信技术（Information andCommunications Technology, ICT）。
主要包括传感技术、计算机与智能技术、通信技术和控制技术。
（3）HIT：卫⽣⾏业信息化(Healthcare Information Technology，HIT)建设中包含了诸多内容。
根据信息技术在相应卫⽣领域的应⽤，可以划分为，公共卫⽣信息化、医院信息化，社区卫⽣信息化，等领域信息化。
（4）HIS：医院信息系统（Hospital Information System），是覆盖医院所有业务和业务全过程的信息管理系统。
（5）CHIS：云HIS，基于云计算的医疗卫⽣信息系统（Cloud-Based Healthcare Information System）。
（6）EMR：电⼦病历（Electronic Medical Record），计算机化的病案系统或称基于计算机的病⼈记录（CPR,Computer-Based Patient Record）。
它是⽤电⼦设备（计算机、健康卡等）保存、管理、传输和重现的数字化的病⼈的医疗记录，取代⼿写纸张病历。
它的内容包括纸张病历的所有信息。
美国国⽴医学研究所将定义为：EMR是基于⼀个特定系统的电⼦化病⼈记录，该系统提供⽤户访问完整准确的数据、警⽰、提⽰和临床决策⽀持系统的能⼒。
（7）LIS：LIS全称Laboratory Information Management System，是专为医院检验科设计的⼀套实验室信息管理系统。
it系统的工作原理及应用
IT系统的工作原理及应用一、工作原理IT系统是指为了解决特定问题或实现特定功能而设计的一系列软硬件设备和程序的集合。
它通过将输入信号转换为输出信号的过程来实现特定的功能。
下面将介绍IT系统的工作原理。
1.输入阶段：–收集输入数据：IT系统首先需要通过各种输入设备（如键盘、鼠标、传感器等）收集输入数据，这些数据可以是用户的命令、传感器的反馈信息等。
–数据处理：收集到的输入数据会经过处理，包括数据的筛选、清洗、转换等操作，以确保数据的质量和准确性。
2.处理阶段：–数据存储：经过处理的数据会被存储在数据库或其他存储设备中，以便后续的访问和使用。
–数据分析：IT系统可以对存储的数据进行分析，通过各种算法和模型来发现数据中的规律、趋势和异常，并提供相应的输出结果。
–计算处理：IT系统可以进行各种计算操作，包括数值计算、逻辑运算、图像处理等，以满足用户的需求。
3.输出阶段：–数据展示：IT系统会将处理后的数据以图表、报表等形式进行展示，以便用户更直观地了解数据的含义。
–输出结果：IT系统还可以向用户提供各种输出结果，如生成报告、发送电子邮件、打印文件等，以满足用户的特定需求。
二、应用领域IT系统在各个领域都有广泛的应用，下面将介绍一些常见的应用领域。
1.金融领域：–电子支付系统：IT系统在金融领域中广泛应用于电子支付系统，如网上银行、移动支付等，方便人们进行线上支付。
–风险管理系统：IT系统可以对金融市场进行数据分析，帮助机构管理风险，预测市场趋势。
2.制造业：–自动化生产线：IT系统在制造业中广泛应用于自动化生产线，提高生产效率和质量。
–物料管理系统：IT系统可以对物料进行追踪和管理，提高制造过程的效率和准确性。
3.医疗领域：–电子病历系统：IT系统在医疗领域中可以用来管理病人的电子病历，提高医疗服务的质量和效率。
–医学影像分析系统：IT系统可以对医学影像进行分析，辅助医生进行诊断和治疗。
4.教育领域：–在线学习平台：IT系统可以支持在线教育平台，例如学习管理系统、远程教育平台等，方便学生进行学习和教师进行教学管理。
人工智能在医疗领域的应用英语作文
人工智能在医疗领域的应用英语作文英文回答：Artificial intelligence (AI) is rapidly transforming the healthcare industry, offering a wide range of potential benefits to patients, healthcare providers, and the healthcare system as a whole. From improving diagnosis and treatment planning to streamlining administrative tasks and automating repetitive processes, AI has the potential to revolutionize healthcare delivery and improve patient outcomes.One of the most promising applications of AI in healthcare is in the field of medical imaging. AI algorithms can be trained to analyze medical images, such as X-rays, CT scans, and MRIs, with a level of accuracy and efficiency that far exceeds that of human radiologists. This can lead to faster and more accurate diagnosis of diseases, as well as the development of new imaging techniques that can provide more detailed and informativeimages.AI is also playing a major role in the development of new drugs and treatments. AI algorithms can be used to screen millions of chemical compounds for potential therapeutic properties, and to design new drugs that are more effective and have fewer side effects. AI can also be used to develop personalized treatment plans for patients, based on their individual genetic and medical history.In addition to its use in medical research and development, AI is also being used to improve theefficiency and effectiveness of healthcare delivery. AI algorithms can be used to automate tasks such as scheduling appointments, processing insurance claims, and managing patient records. This can free up healthcare providers to spend more time with patients, and it can also help to reduce costs and improve the overall quality of care.AI is still a relatively new technology, and there are still some challenges that need to be addressed before it can be fully integrated into healthcare. However, thepotential benefits of AI are enormous, and it is clear that AI will play a major role in the future of healthcare.中文回答：人工智能 (AI) 正在迅速变革医疗行业，为患者、医疗保健提供者和整个医疗保健系统提供了广泛的潜在好处。
互联网+智慧医疗完整解决方案
互联网+智慧医疗完整解决方案概述智慧医疗介绍智慧医疗是智慧城市的一个重要组成部分，是综合应用医疗物联网、数据融合传输交换、云计算、城域网等技术，通过信息技术将医疗基础设施与IT基础设施进行融合，以“医疗云数据中心”为核心，跨越原有医疗系统的时空限制，并在此基础上进行智能决策，实现医疗服务最优化的医疗体系。
城镇化促进了医疗卫生信息化建设，在不断增加医疗卫生资源的同时，也使得医疗卫生资源不断集中到大医院，并且发生连锁反应。
挂不上号、看病距离远、紧急病情无法得到及时救治等“看病难”问题，从本质上，没有得到有效解决。
机构与机构之间信息孤立、患者对医疗业务不熟悉等问题使得患者医疗费用重复开销或者不能有效使用，“看病贵”的问题日渐明显。
智慧医疗是将个体、器械、机构整合为一个整体，将病患人员、医务人员、保险公司、研究人员等紧密联系起来，实现业务协同，增加社会、机构、个人的三重效益。
同时，通过移动通信、移动互联网等技术将远程挂号、在线咨询、在线支付等医疗服务推送到每个人的手中，缓解“看病难”问题。
互联网+智慧医疗完整解决方案智慧医疗的发展2009年国务院发布《关于深化医药卫生体制改革的意见》开启了新医疗体制改革。
新医改提出了“四梁八柱”，其中信息化是医改的重要任务，而且是医改胜利逐步推进的重要保障。
可见，随着医疗体制改革连续深入推进，医疗信息化已经成为医疗体制改革的重点发展方向。
而新医改的医疗信息化扶植首要为四个重点：疾病控制收集为主的公共卫生系统、健康档案为重点的信息平台、电子病历为重点的医院信息化扶植、利用信息化技术促进城市医院和社区卫生服务机构的合作和远程医疗。
其重点任务可描述为“”工程。
智慧医疗的现状近年来，随着新医改对信息化的重点投入以及区域医疗系统的逐步开展，医疗信息化吸引了国内大量企业参与竞争，尤其是具有IT行业综合品牌优势的大型软件企业。
除了XXX、XXX、卫宁软件等传统医疗信息化领的优势企业外，XXX等公司也设立了子公司，加大了进入医疗信息化市场的力度；与此同时，行业内的并购也相应地有所增加。
人工智能在医疗诊断中的应用(英文中文双语版优质文档)
人工智能在医疗诊断中的应用（英文中文双语版优质文档）In recent years, the application of artificial intelligence in the medical field has received more and more attention. Among them, the application of artificial intelligence in medical diagnosis is particularly important. The use of artificial intelligence technology for medical diagnosis can not only greatly improve the accuracy and speed of diagnosis, but also effectively alleviate the problem of doctor shortage.At present, the application of artificial intelligence in medical diagnosis mainly includes the following aspects:1. Image recognition and analysisMedical images are one of the most important information in medical diagnosis. Traditional medical image analysis takes a lot of time and effort, and there are risks of subjectivity and misjudgment. Using artificial intelligence technology, medical images can be automatically identified and analyzed. For example, deep learning-based convolutional neural networks can perform tasks such as classification, segmentation, and detection of medical images. Using these technologies, physicians can make diagnoses more quickly and accurately, thereby improving patient outcomes.2. Natural Language ProcessingWhen making a diagnosis, doctors need to deal with a large amount of information such as medical records, pathology reports, and medical literature, which usually exist in the form of natural language. Using natural language processing technology, the information can be automatically analyzed and understood. For example, natural language processing models based on deep learning can perform tasks such as classification of medical records, entity recognition, and relationship extraction. These technologies can help doctors obtain and understand patients' condition information more quickly and accurately.3. Predictive modelsmodels based on statistics and machine learning can be established. These models can predict the probability of a patient suffering from a certain disease based on information such as a patient's personal information, symptoms, and medical history. For example, using deep learning-based recurrent neural networks, risk assessments for diseases such as heart disease, diabetes, and cancer can be performed. These predictive models can help doctors make more accurate diagnosis and treatment decisions.4. Medical decision support systemsupport systems can be built. These systems can recommend the best diagnosis and treatment options based on information such as a patient's personal information, symptoms, and medical history. For example, using the decision tree algorithm based on deep learning, the best treatment plan can be automatically generated based on the patient's condition information and medical knowledge. These systems can help doctors make faster and more accurate decisions, thereby improving patient outcomes.Although the application of artificial intelligence in medical diagnosis has broad prospects, its application also faces some challenges and limitations. For example, some machine learning-based models require a large amount of data for training, and the data quality requirements are very high, which may limit its application in some specific scenarios. In addition, although some deep learning-based models have high accuracy, their interpretability is poor, and it is difficult to intuitively explain the reasons for the diagnosis results. This may have some impact on physician trust and acceptance.In general, the application of artificial intelligence in medical diagnosis has broad prospects and potential. In the future, with the continuous development and improvement of artificial intelligence technology, it is believed that its application in the medical field will become more and more extensive, and it will also be more and more trusted and accepted by doctors and patients.近年来，人工智能在医疗领域的应用已经得到了越来越多的关注。
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专业：热能与动力工程班级：02 姓名：陈小波学号：100303021118
2010．11．13
概述：
随着现代科学技术的发展，现代网络技术已经深入了各个领域，教育、国防、医疗、科研乃至娱乐，它已经成为我们生活中不可或缺的一部分，时时刻刻再为我们服务。
医学作为一门古老却又永远年轻的科学，因其严谨、专业，而又不断发展，需要大量的信息。
网络技术在医学上的应用将为医学发展提供一个新的契机。
下面就IT 在医学上的应用及发展前景作简要介绍。
1、IT在医疗系统中的应用
2、IT在医疗诊断中的应用
3、IT在医疗治疗中的应用
4、IT在医学中的发展前景
医疗系统（Hospital Information System简称HIS）是一门容医学、信息、管理、计算机等多种学科为一体的操作管理平台。
其中计算机网络系统占据很重要的地位。
计算机在规范医疗秩序、药品管理、数据入库起到了很重要的作用。
如下图介绍了计算机具体流程（包括医生、病人和厂家）
如下图介绍了医药的生产、采集和入库流程
由上图来看，现代医疗已经完成了数字化、信息化和智能化的管理。
而这些系统的开发与应用必将优化医疗服务，减少医疗事故的发生，同时使医疗过程方便、便捷，使患者拥有更加优质的服务！
同时，便捷的网络使医学及其相关信息的传播更为广泛、迅速。
可以面向病人和普通人群传播健康保健知识；面向医药从业人员传播专业信息，包括最新医学期刊的内容、历年医学文献的检索、通过BBS组织网上学术讨论和交流和继续教育，这些信息为医生、护士、药师、医院管理者等更合理地安排工作与进修时间提供了方便；
现代计算机技术深入的发展，医疗中也涌现了不少用于诊断的新型诊断仪，大大缩短了患者的诊断时间，使病人能够更快的接受治疗，同时也提高了诊断精度及有效减轻了病人的痛苦。
图是应用于现代诊断的核磁共振仪：
上图是核磁扫描仪上图是核磁分析仪
这些仪器和数字化的结合，创造了现代化的组合仪，
下面对它们的效果与传统的处理数据比较，
传统图
核磁扫描图
如果比较，很显然，现代数字计算机的应用的优越性已经完全显示了！
核磁共振仪扫描后在计算机上的病理成像图。
现代多媒体的应用，在医学上主要体现在智能仪及智能机械臂的辅助应用，主要用来进行微创及高危手术。
下面显示一组相关图片：
微创手术仪器及还原简图
图为机械臂在为病人实施手术
这些现代多媒体的应用，大大提高了手术的成功率，减少了创口面积，提高了治愈率。
这是一组数据比较的表格，可以清楚看出IT的应用在手术中的对患者造成的损伤更小，有利于患者尽早恢复健康。
图中医生正在操作自动化多媒体医疗设备
透过胸腔的心脏微创手术，人工完成很难，但它很轻松！
代网络技术现已经被广泛的使用在医疗中，已经开始了它的服务之旅，显然也是必然，它将更好的被使用，来为人类医疗事业，为人们的健康贡献出它的全部力量。
从目前来看，将会有更多智能设备，如智能扫描仪，自动化验仪，甚至是智能机器保姆将会被开发，被研制，被生产，用来全程的为患者提供优质服务!
当然，像图中出现的远程医疗服务并不完善，但是可以相信，在不久的将来，这项系统将被完善，这项服务会更加科学优质。
图是一个辅助的机械心脏，在计算机芯片的控制下，为患者血液循环提供保障，但是它的使用寿命有限，生物兼容性有限。
但是，由于，IT技术的介入，未来的人造器官必将更符合人的生理特性，甚至具有生物感应记录功能，随时随地记录并监测人体的生理病变，让人们要提前治疗，为人们的健康幸福生活保驾护航！。