Research Scholar, Anna University of Technology Tirunelveli, Tamilnadu, India.
J Med Syst. 2012 Dec;36(6):4031-6. doi: 10.1007/s10916-012-9875-6. Epub 2012 Aug 3.
A hospital is a health care organization providing patient treatment by expert physicians, surgeons and equipments. A report from a health care accreditation group says that miscommunication between patients and health care providers is the reason for the gap in providing emergency medical care to people in need. In developing countries, illiteracy is the major key root for deaths resulting from uncertain diseases constituting a serious public health problem. Mentally affected, differently abled and unconscious patients can't communicate about their medical history to the medical practitioners. Also, Medical practitioners can't edit or view DICOM images instantly. Our aim is to provide palm vein pattern recognition based medical record retrieval system, using cloud computing for the above mentioned people. Distributed computing technology is coming in the new forms as Grid computing and Cloud computing. These new forms are assured to bring Information Technology (IT) as a service. In this paper, we have described how these new forms of distributed computing will be helpful for modern health care industries. Cloud Computing is germinating its benefit to industrial sectors especially in medical scenarios. In Cloud Computing, IT-related capabilities and resources are provided as services, via the distributed computing on-demand. This paper is concerned with sprouting software as a service (SaaS) by means of Cloud computing with an aim to bring emergency health care sector in an umbrella with physical secured patient records. In framing the emergency healthcare treatment, the crucial thing considered necessary to decide about patients is their previous health conduct records. Thus a ubiquitous access to appropriate records is essential. Palm vein pattern recognition promises a secured patient record access. Likewise our paper reveals an efficient means to view, edit or transfer the DICOM images instantly which was a challenging task for medical practitioners in the past years. We have developed two services for health care. 1. Cloud based Palm vein recognition system 2. Distributed Medical image processing tools for medical practitioners.
医院是一个提供医疗服务的组织，由专家医生、外科医生和设备为患者提供治疗。一份来自医疗保健认证机构的报告称，患者和医疗服务提供者之间的沟通不畅是导致需要紧急医疗护理的人得不到治疗的原因。在发展中国家，文盲是导致不确定疾病死亡的主要根源，这是一个严重的公共卫生问题。精神障碍、残疾和无意识的患者无法向医务人员传达他们的病史。此外，医务人员也无法即时编辑或查看 DICOM 图像。我们的目标是为上述人员提供基于掌静脉模式识别的病历检索系统，使用云计算。分布式计算技术正在以网格计算和云计算的新形式出现。这些新形式有望将信息技术（IT）作为一种服务提供。在本文中，我们描述了这些新形式的分布式计算将如何帮助现代医疗保健行业。云计算正在为各个行业，特别是医疗领域带来效益。在云计算中，通过按需分布计算，将 IT 相关的能力和资源作为服务提供。本文关注的是通过云计算以软件即服务（SaaS）的形式崭露头角，旨在将紧急医疗保健部门纳入一个拥有物理安全患者记录的保护伞。在制定紧急医疗保健治疗方案时，需要考虑到决定患者病情的关键因素是他们以前的健康行为记录。因此，随时随地获取适当的记录是至关重要的。掌静脉模式识别承诺提供安全的患者记录访问。同样，我们的论文揭示了一种有效的方法，可以即时查看、编辑或传输 DICOM 图像，这在过去几年中对医务人员来说是一项具有挑战性的任务。我们已经为医疗保健开发了两项服务。1. 基于云的掌静脉识别系统 2. 为医务人员提供分布式医疗图像处理工具。
