OSP的经验丰富的医疗专家团队为提供商和健康计划提供优质的医疗保健服务。乐动体育 手机版乐动体育足球ld体育下载我们的团队包括企业软件平台，美国政府计划，数字创新和业务运营的专家。
学到更多Optimizing the healthcare system is essential for better productivity and quality performance. OSP’s team of developers can enhance and upgrade the healthcare solutions in modules, security, or interoperability sections with new custom components.
学到更多EDW是有效管理和临床决策的重要工具。需要监控和防止感染传输提供了用于在多种设施之间共享数据的理想情况。
在不同提供商之间共享数据的优点包括监测抗微生物抗性，测量抗菌用途，检测医院获得的血流感染，治疗测量和检测抗生素规定误差。通过使用数据仓库可以估计节省的时间和金额。
例如，医院可以利用数据仓库提供与患者下一次预定访问相关的高风险患者列表。这使得猪流感疫苗的靶向递送至大批量诊所。下一代医疗保健提供者可以整合和管理跨关心连续体的信息。这涉及构建可以由医疗保健专业人员共享的临床和财务信息的仓库，无论位置如何。
医疗保健仪表板是复杂的工具，可以从多个源汇总数据并提供整体的深入性能度量视图医院管理系统。这些医疗保健仪表板工具的主要目标是消除不一致的数据，改善报告和数据分析，并提供深层洞察力。
医疗保健仪表板指标允许他们在商业效率和治疗成功率方面跟踪医院的表现。了解问题的来源允许医疗保健团队在提高护理质量方面做出更好的决策，优化工作负载并降低成本。
单个仪表板解决方案可以跟踪不同患者治疗的有效性，并将临床医生的工作与他们的同事进行比较。这是提高临床医生性能和患者满意度的一种很好的方式。
While dealing with the livelihood of patients, healthcare professionals should remain on the safer side when it comes to introducing new technologies into their practice. Hence to improve the quality of care, Business Intelligence (BI) should be considered seriously.
Business intelligence allowsld乐动官方 to go through the patient-related data where one can estimate the ability of the patient to pay the bill. Thus the financial sections can proactively reach out to patients for payment collection.
尽管数据量增加，BI软件可以轻松地将数据源组合以提高效率。来自电子医疗记录（EMR），实验室数据和财务数据等资料的数据在一个组合和相关医疗支付系统in order to provide a 360-degree view of both patient and hospital insights.
The patient care system analyses patients’ data to discover insights and suggest actions accordingly. AI allowshospital management分析临床资料，并在极高的准确性上产生深层洞察。可以通过AI规范分析监测个性化药物和实时处方错误。
Early Diagnosis is possible to analyse chronic conditions by leveraging diagnostic/medical imaging results. New drugs can be found based on previous data and medical intelligence.
医疗保健管理is easier where the optimal price for treatment and other services can be determined in advance. Easy automated operations like reporting are possible using an artificial intelligence software.
由于数字医疗革命正在全面履行，无论患者和临床医生的位置如何，数据可用性都是改善临床结果的主要因素。云技术在这方面发挥作用。
Healthcare functionality can be enhanced by基于云的医疗保健IT系统that has the potential for great interoperability and integration. Since healthcare cloud services are totally internet-based, interoperability is very simple.
Cloud services has remote access to applications and data. The Internet connectivity enables access at anytime from anywhere. Cloud computing has special features for physicians and patients which would reduce the burden of heavy investments and utilize the outsourced resources, software, hardware and automated computing. Thus there occurs improvement in patient care, analysis of physiological data along with optimization of the医疗结算过程具有适当的资源利用率。
Modern Data Management Solutions include data-driven strategies to improve commercial effectiveness in life sciences, including faster product launches, insights aboutpatient engagement in healthcareand real-time data enrichment.
在MDM的帮助下，在生命科学领域的每个人都可以获得CRM，销售订单管理，合同和定价和研发的详细信息。
快速配置，原型设计和用户友好的现代数据界面使Pharma公司能够快速构建新的商业化能力，而传统的MDM解决方案可能需要几个月到几年。
目前的医疗保健是在激烈的转变中，这将由增加量的电子数据量驱动。使用预测性建模方法可以成功挖掘此数据以改善患者护理。
Patients at high risk for poor outcomes can also be identified easily in order to improve patient prognoses. The type of conditions in real-time can be predicted well in advance before the onset of any clinical symptoms
医生使用预测算法进行更准确的诊断。雇主和医院员工管理将提供关于保险和产品成本的预测。制药公司利用预测分析以更好的方式满足市民的需求。
嵌入智力与自动化is going to increase more in number especially in the healthcare domain. The major factor to use Embedding Intelligence in the healthcare domain is health monitoring by using biosensors and smart devices. These devices play a centric figure in the relationship between healthcare providers /payers and consumers/patients. There will be an increasingly growing popularity of healthcare wearables also, which would increase consumer health consciousness.
Blockchain integration including safe data storage, protected transactions, secure data exchanges between healthcare organizations will take place. Customer service and operations including request processing and appointment scheduling take place with the help of automation to facilitate the life of patients and doctors.
到2020年，实时卫生系统（第一个）将作为嵌入医疗保健部门的智力的重要领域，因为机器人使用近50％的希望在整个医院提供药品和用品。
Selita Jansen.
We reached out to OSP to provide an estimate on a technology solution we were interested in developing. From the initial conversation, the team was professional, courteous, and thorough.我们能够快速决定使用OFP前进，因为我们相信我们的要求准确捕获，开发可交付成果和相关成本清晰。OSP开发团队在整个建立阶段进行了安排，并在预算范围内，并提供每周沟通，以保持我们的团队通知沿途。如果我们未来需要应用程序开发，OSP将是我们制作的第一个通话。
美国正面临着孕妇不足的危机，特别是农村或处于弱势社会经济社区的妇女。母性医学专家（MFM）的短缺达到了临界水平。
Our US-based client wanted to solve this challenge by using technology to provide quality health access to pregnant women. Building a solution that connects MFM experts to pregnant women in the remote local clinic through real-time video streaming was the need of the hour.
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美国正面临着孕妇不足的危机，特别是农村或处于弱势社会经济社区的妇女。母性医学专家（MFM）的短缺达到了临界水平。
Our US-based client wanted to solve this challenge by using technology to provide quality health access to pregnant women. Building a solution that connects MFM experts to pregnant women in the remote local clinic through real-time video streaming was the need of the hour.
学到更多
美国正面临着孕妇不足的危机，特别是农村或处于弱势社会经济社区的妇女。母性医学专家（MFM）的短缺达到了临界水平。
Our US-based client wanted to solve this challenge by using technology to provide quality health access to pregnant women. Building a solution that connects MFM experts to pregnant women in the remote local clinic through real-time video streaming was the need of the hour.
学到更多
美国正面临着孕妇不足的危机，特别是农村或处于弱势社会经济社区的妇女。母性医学专家（MFM）的短缺达到了临界水平。
Our US-based client wanted to solve this challenge by using technology to provide quality health access to pregnant women. Building a solution that connects MFM experts to pregnant women in the remote local clinic through real-time video streaming was the need of the hour.
学到更多
