Everyone is no stranger to talking about the medical industry. The medical industry is directly related to people's health and life safety. The medical industry covers many fields such as medical care, pharmaceutical production, and medical equipment manufacturing. While protecting people's lives and health care, it also provides strong support for the country's economic development. With the development of related technologies such as big data, cloud computing, and robotic process automation, the medical industry is also deepening its digital transformation.
1. Biomedical status and trends
(1) Biomedical industry background
① The new medical reform is in-depth and policy-driven ② There are many and fast-changing patient needs ③ The investment in medical informatization is large ④ The estimated cost savings of artificial intelligence empowering medical care reaches 150 billion U.S. dollars.
(2) Pain points of biomedical informatization
① High proportion of labor ② Many demands for medical assistance ③ Fragmentation of medical information, difficulty in data collection ④ The scope of data collection involves internal and external platforms (such as clinical applications, laboratory systems, insurance portals and many other different systems)
(3) Advantages of RPA applied in the medical industry
① Save time integrating patient data from different systems ② Automate multiple medical processes, save resource expenditure costs ③ Automate tasks, medical staff can focus on patient care ④ Improve revenue cycle management by improving billing efficiency and reducing write-offs.
2. Why does the medical industry need to upgrade digitally?
(1) The labor efficiency of the traditional medical model is not high
Most of the traditional medical industry relies on manual registration and manual processing of medical account settlement for management. Due to the manual processing of registration and settlement, it takes a lot of manpower and time, and the efficiency of medical institutions is low. Manual processing is prone to errors, and even leakage or duplication of fees may occur.
The process is repetitive and cumbersome, and the staff are burdened. Daily medical bills involve data interaction between many systems. It is necessary to manually log in to each platform and fill it out manually. The cumbersome process has caused unnecessary burdens on the staff.
(2) Impossible to supervise in real time, there are risks
Due to the low degree of informatization in the traditional medical industry, it is impossible to monitor and manage the suppliers of drugs and consumer goods in real time, which is prone to a series of problems. It is difficult for medical institutions to keep abreast of the production, distribution and sales of pharmaceuticals and consumer goods, and it is also difficult to detect and solve related problems in a timely manner.
(3) Data audit is complex and information management is not easy
The physical circulation and data tracking of medical high-value consumables in equipment departments, secondary warehouses, and operating rooms will encounter difficulties such as complex processes, many reports, and large amounts of data.
Aiming at the pain points and difficulties existing in the digital transformation of the medical industry, RPA tailors a digital upgrade plan for the medical industry to escort the digital transformation and upgrade of the medical industry.
3. What are the specific application scenarios of RPA in the medical industry?
(1) Arranging appointments and collecting information
During the process of patients registering at the hospital, Shishi RPA can help medical institutions automatically collect basic information of patients, and automatically arrange appointments for medical appointments, simplifying the process of patients' medical treatment and improving patient satisfaction. In addition to building a patient database, Real RPA can automatically fill in electronic files, and extract clinical diagnosis and treatment data from the existing system and send them to relevant medical staff, reducing paperwork for medical staff and allowing medical staff more time to focus on treatment, including Automatically collect patient information; automatically arrange appointments; build patient databases; automatically fill in electronic files, etc.
(2) Smart settlement of medical accounts
In fact, RPA can collect and check data across systems, accurately calculate the amount, and notify patients in a timely manner. While speeding up payment, it can also reduce payment delays and other unknown errors in the account settlement process, reducing the workload for medical staff. Examples include collecting and reconciling data; calculating account balances; automatic message notifications.
(3) Automatically create consumable reports
In fact, RPA can automatically obtain the management report of medical consumables at each node, and cross-reference the quantity and amount difference of high-value consumables in the report; when the difference rate of a certain consumable exceeds the preset risk warning level, a warning will be issued. Solve the problems of high-value consumables in physical circulation and data tracking, such as complex processes, many reports, and large data volumes. For example, obtain real-time data; automatically check information; raise risk warnings; and automatically generate reports.
(4) Medical literature search service
Apply RPA to build a professional medical knowledge base and provide medical literature retrieval services for medical institutions. Using NLP technology to understand user intentions, extract retrieval conditions and perform intelligent analysis, the time spent on document retrieval and download is greatly reduced compared with the original manual operation, which improves work efficiency. For example, establish a medical knowledge base, provide literature search services, and automatically download documents.
4. Customer case
(1) Real Intelligence × Zhuhai Hospital
Zhuhai Hospital of Guangdong Provincial Hospital of Traditional Chinese Medicine (hereinafter referred to as Zhuhai Hospital) is one of the branches of Guangdong Provincial Hospital of Traditional Chinese Medicine enjoying the reputation of "the first Xinglin in southern Guangdong". It is a first-class tertiary traditional Chinese medicine hospital, and has the titles of "Hundreds of Civilized Hospitals" and "Model Traditional Chinese Medicine Hospital" in Guangdong Province.
Real digital staff helps Zhuhai Hospital to upgrade digitally:
automatic data query and entry: digital staff can automatically complete drug price query and supplementary recording, contract and order data creation, platform product filing, and delivery of goods on the electronic drug trading platform in Guangdong Province Cargo confirmation and other operations.
Automatic generation of charging codes: digital employees help procurement personnel to free their hands, and can automatically log the drug charging codes prepared in the Excel sheet into the CHRS system to maintain basic information on materials, and generate outpatient charging codes in the project management system.
(2) Real Intelligence × Sinopharm Guangxi
Sinopharm Holding Co., Ltd. (Sinopharm Holding, stock code http://01099.HK ), affiliated to the world's top 500 Sinopharm Group , and its subsidiary Sinopharm Accord Pharmaceutical Co., Ltd. (Sinopharm Accord, stock code 000028.SZ), is a Comprehensive pharmaceutical listed company. Safe, stable, and efficient real RPA digital employees are deployed in the terminal in a non-intrusive manner after they take up their posts in the Guangxi Supply Chain Department of Sinopharm, and realize automatic backfilling of the medical device centralized procurement network (referred to as "Drug Device Network") without helping the staff 7 x 24 hours a day ) and Group Procurement Platform ("GPO Platform") delivery and invoice data. The staff in the supply chain department need to manually backfill the delivery and invoice data on the two platforms, and it takes 3-5 people to backfill together every day to complete. After the deployment of real intelligent RPA , human-machine collaboration works together, and now only one person is needed to complete it, and the efficiency has increased by 300%.
(3) Real Intelligence × Meinian Great Health
Meinian Health is a health examination and medical group with significant scale and influence in China. As of the end of 2020, it has deployed more than 600 physical examination centers in more than 300 core cities across the country, employing nearly 35,000 people including industry experts and medical technicians. The professional service team formed by the company has provided professional health services for more than 110 million people in the past five years.
As a leading company in the medical examination industry, Meinian OneHealth is the first to introduce real RPA digital employees to help medical examination business personnel quickly complete various complex operations, replacing manual processing of medical examination appointments, account reconciliation, coupon inspection, etc., which is good and fast Respond in a timely manner to effectively shorten the waiting time for users; and set up the process in advance without any mistakes in the middle, which greatly improves the efficiency of physical examination .