It is understood that the existing information technology systems in the domestic medical industry has more than 4,000, an average of more than 100 systems used by each hospital, the data between the different systems are not connected to each other, each system on the structure of the data and the requirements of the existence of a great difference, which now causes a series of problems, such as the old and the new system switching, a large number of data handling work consumes the medical staff valuable time; diagnosis and treatment, medical staff, the medical staff of the valuable time. When diagnosing and treating patients, medical staff are trapped by various tools, and almost half of their time is wasted on data entry and summary analysis; there is no uniform specification for medical data, which makes it difficult to integrate and upload to the central database.
The weaknesses of the information system in the medical industry are mainly focused on three aspects: first, the difficulty of data collection, second, the scope and quality of data collection, and third, the degree of automation and intelligence of the application.
With the application of software robots is gradually widespread, but also let the medical field of information integration will become more simple. Taking the most representative software robot of Bowei Xiaobo as an example, it automatically performs high-volume and repeatable tasks based on certain rules according to pre-set procedures by simulating the operation mode of human employees and realizes the automation of core business processes, including logging in to the system, connecting to the system API, copying and pasting data, reading and writing databases, crawling data from web pages, filling out the system forms, and opening e-mails and attachments.
The software automates core business processes.
Software robots can help medical staff reduce repetitive, time-consuming, and trivial data handling tasks, and automate data entry, migration, and integration, such as migrating medical record data from an old medical record system to a new one; obtaining data from various business systems and then converting them according to the corresponding national coding tables; and automatically filling in data from one business system to other business systems; Obtaining data from each system and summarizing it, and so on, not only improves efficiency and accuracy, but also allows medical staff to have more time to treat patients and return to their profession.
Data migration: Hospitals in the transformation of information technology will face the replacement of old and new systems or new systems on the line, bringing a large number of original data entry or migration work, data sources, including a variety of systems, Excel and other electronic documents, etc., the data entry will take a lot of manpower and time, resulting in a waste of medical resources. Software robots can automatically access the original system or electronic documents in the data source, and data entry into the new system 24 hours a day, avoiding the health care workers time consumed in the data handling work, a substantial increase in efficiency, to protect the reliability of the data migration.
Data entry: Hospitals usually use multiple business systems, such as HIS, LIS, electronic medical records, etc., resulting in the need for healthcare professionals to switch back and forth between several systems, which involves inputting, checking, recording, and summarizing medical reports, all of which need to be done manually. The software robot can automatically acquire data from various systems and fill in the data to the specified location according to the pre-set process rules, realizing a full range of control and evaluation of clinical records and other information, making it easier and more efficient to carry out quality control of medical records, thus improving the quality of medical care and the value of the data, as well as saving medical costs.
In addition, software robots are also widely used in the medical industry, such as health insurance settlement, scientific research data collection, reporting of infectious diseases, etc., to achieve the automation of the medical workflow run up, so that the medical resources can be more fully utilized, accelerating the process of upgrading medical information.