What we are sharing today is the [2022 Smart Medical Laboratory Construction*** Report Producer: Arterial Network.
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The smart medicine laboratory is still in its infancy, and it is urgent for talents from cross-disciplinary backgrounds to join. The field of smart medical laboratories is in the early stage of industry development and is an emerging interdisciplinary field, which urgently needs talents with cross-cutting backgrounds in software and hardware engineering, artificial intelligence, life sciences, biotechnology, and medicine. At present, from the perspective of investment, in the field of smart medical laboratory construction, whether the founder or core team has an interdisciplinary background in science and technology and life sciences is an extremely important reference dimension.
The combination of software and hardware products is more favored by the market, and the cooperation of early service enterprises is greater than the competition. In the process of intelligence, software and hardware help medical laboratories run more conveniently and efficiently in different links, and make laboratory safety and compliance more secure. Among them, products combining software and hardware are more attractive to medical laboratory managers due to the advantages of wider intelligent coverage and more in-depth demand solving. Most of the service companies have limited business coverage in the early stage. Therefore, in order to accelerate the opening of the wide and deep intelligent laboratory market and improve the penetration rate of medical laboratories, the current cooperation between service enterprises is greater than the competition.
Different types of medical laboratories will have their own benchmark solutions for intelligent construction. The processes of various medical laboratories such as biochemical testing, genetic testing, and drug research and development are very different, and the demand for intelligent construction is also different. Therefore, a deep understanding of the needs of various medical laboratories is critical to product development. In the early days, due to limited energy, capabilities, and resources, most enterprises could not have a deep understanding of various types of medical laboratories at the same time, but provided corresponding solutions from a certain type of medical laboratory scenario. At present, there is no benchmark intelligent construction solution with high competitive barriers in various medical laboratories. In the future, with the deepening of enterprises' understanding of the needs of various laboratory scenarios, coupled with the continuous progress and optimization of technology and products, benchmark solutions that have passed market verification will gradually emerge in various laboratories.
In recent years, medical laboratories with high requirements for efficiency have also realized the role of intelligent construction, such as replacing repetitive mechanical manual operations through automated equipment or assembly line construction, digitizing laboratory information through information construction to avoid manual recording errors, and helping experiments operate more efficiently through digital construction. In the medical field, many types of laboratories, including clinical testing and testing, drug research and development, biological experiments, etc., have also begun to try to make laboratories "smart" from multiple dimensions through automation, informatization and digital construction.
The technology used in smart medical laboratories reduces costs and increases efficiency for laboratories. Based on key technologies such as the Internet of Things, 5G, artificial intelligence, big data, cloud computing, VR AR, blockchain and GIS, the intelligent construction of the laboratory helps medical laboratories to be more efficient, convenient, safe and compliant in all aspects of the experimental and non-experimental operation parts through hardware equipment and software systems as application carriers, so as to achieve the purpose of reducing costs and increasing efficiency.
This article is for informational purposes only and does not represent any investment advice from us. To use the information, please refer to the original report. ）
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