Rising living standards and an increasing demand for quality medical services have made patient-oriented service models and agile, efficient digital platforms trends in the modern healthcare industry. Technologies such as Internet, cloud computing, big data, and AI ensure that this transformation is within reach.
Hospitals are gathering data of existing HIS, LIS, and PACS systems to build clinical data centers and integrated platforms. In this way, hospitals can share and exchange information and implement comprehensive process control.
The popularization of mobile healthcare greatly promotes modernization and information sharing in the healthcare industry.
Hospitals are collaborating in multiple areas, including working as a medical consortium, establishing a hierarchical treatment system, performing separate treatment on acute and chronic diseases, and implementing two-way referrals. Medical information such as electronic medical records (EMRs) and data centers are shared. Medical resources are used more rationally. In addition, the telemedicine system is used to facilitate inter-department, cross-disease, and inter-hospital collaboration.
Most hospital service systems are constructed vertically and independently, resulting in data exchange difficulties.Most hospital service systems are constructed vertically and independently, resulting in data exchange difficulties.
Unintelligent services struggle to provide satisfying patient experience, efficient workflows, and timely operations data.Unintelligent services struggle to provide satisfying patient experience, efficient workflows, and timely operations data.
Isolated systems and a wide variety of application systems and hardware cause hospitals to struggle with system O&M.Isolated systems and a wide variety of application systems and hardware cause hospitals to struggle with system O&M.
Communication and collaboration between doctors from different departments, doctors and patients, and logistics staff are inadequate due to the lack of an efficient platform.Communication and collaboration between doctors from different departments, doctors and patients, and logistics staff are inadequate due to the lack of an efficient platform.
HUAWEI CLOUD Digital Hospital fully integrates data sources such as medical information systems, hospital facilities, and medical equipment by leveraging Huawei-developed IaaS and PaaS capabilities. IaaS capabilities cover compute, storage, network, security, and databases. PaaS capabilities cover big data analysis, heterogeneous algorithms, AI, and block chain. Digital Hospital, as a part of the inclusive AI strategy, offers more intelligent, efficient, and cost-effective hospitals. It also enables upper-layer services in the healthcare industry.
Digital Hospital's open architecture features the decoupling of software and hardware, separating application from data, pooling infrastructure, and microservice software.
Semi-automatic annotation, automatic parameter optimization, and automatic network design enable you to get started quickly without coding. This solution is easy to work with regardless of whether you are an expert or beginner in AI.
In certain scenarios, performance can be improved by 5 times, and bandwidth reduced by 30 times. Over 1000 connections are supported using Cloud Container Engine (CCE), which occupies only 6 MB of memory on edge nodes.
Millions of IoT devices can be connected in real time and a massive amount of data can be exchanged by using the IoT platform and enterprise service bus (ESB).