Developers: | Netrika Medicine |
Date of the premiere of the system: | 2023/11/27 |
Branches: | Pharmaceuticals, Medicine, Healthcare |
Technology: | SOA, EDMS |
Main article: EDMS (more)
2023: Announcement of the tool "N3. Enhanced Data Unloader in the Electronic Data Processor: Unloading Control Mechanisms"
On November 27, 2023, Netrika Medicine announced the development of the tool "N3. Enhanced Data Unloader in REM: Unloading Control Mechanisms." The component received the ability to automatically optimize the flows of transmitted SAMDs to federal services, level the limitations of their bandwidth and provide digital social services.
According to the company, the transfer of structured electronic medical documents (SAMDs) from the regional level to federal information systems is a requirement that is in the interests of both health care organizers and doctors and patients. For example, the results of examinations or advisory opinions submitted to the Federal Register of Electronic Medical Documents (RAMD) become available to the patient in his personal account on the Unified Portal of Public Services. Also, certain types of medical documents in digital form are necessary during interdepartmental interaction, for example, when providing citizens with services for issuing driver's licenses, weapons permits, etc.
In practice, the regions have to solve a number of problems related to the unloading of SAMD. It is necessary to transfer large arrays of documents to the federal level (up to tens of millions per year) - SAMDs of various types, more and less priority, usually formed not evenly, but in "waves." At the same time, exceeding the limit on the number of calls to the federal service, in accordance with the rules, stops the download of documents.
Netrika Medicine has developed a tool "N3. Advanced Data Unloader in the EDM: Unloading Control Mechanisms," which optimizes the transfer of medical documentation to the federal level. All documents received from regional medical information systems are accumulated in a distributed storage. The unloader then groups the documents into packages, with the volume of the package taking into account the limits on requests for federal services set for the region. For example, if the federal limit for unloading to the EDM is 100 requests per minute, then the unloader will transfer a packet of about 90-100 SAMMs to the register with the specified frequency.
The updated offload generates packets based on the priorities that are configured for each type of SAMD. This means that it can send "urgent" documents in the first place, and "non-urgent" documents can be held until a convenient moment when the system is less loaded. An "urgent" document is, for example, a medical birth certificate. It must be transferred to the federal level as soon as possible, because without a certificate, parents will not be able to register the fact of the birth of a child through "Public services." It is no less important to promptly send a referral for medical and social expertise (ITU), as a result of which the patient can be assigned a disability benefit and in some cases a rehabilitation program has been determined.
You can set the priority of uploading different types of SAMDs in the user interface by setting a certain share of the total region limit for each type. For example, if ITU referrals are given a priority of 12%, then the unloader will include 12 such SDAs in each package of 100 documents. The remaining documents will also be selected according to the established priorities.
The updated tool has significantly expanded the settings for automatic and manual document reloading. Automatic overload is necessary in the event of technical failures during the interaction of regional and federal services. In some situations, a ban on it also turns out to be useful (for example, if the SAMD was rejected by the federal service due to errors in the document). Manual overplay allows you to cope with errors that can be fixed yourself without making changes to the SAMD. For example, the document may indicate a doctor whose information was not timely entered in the Federal Register of Medical Professionals (FEDR). In this case, it is advisable to send the document for reloading only after the necessary data is added to the PMF .
Tool users can set separate reload rules for each type of error, and set their priority and reload rate for each type of SAMD. Thus, when re-downloading, the "urgency" of a particular type of document and the current limits on calls to federal services are taken into account.
Users of the tool also have the ability to monitor the download of the SAMD. On a specially created dashboard, a summary statistics of the interaction of the region with federal services of the Uniform State Health Information System and graphs demonstrating the dynamics of document uploading are displayed. The reports provide detailed information on which documents have been accepted and which documents have been rejected (indicating the types of errors).
We tried to give the regions a flexible tool in which it is easy to configure the rules for unloading and re-downloading SAMDs, and, if necessary, quickly change them. It is nice that in a number of regions MIAC specialists have already become advanced users of this tool. Now colleagues can adjust the settings online, promptly making changes during the working day, depending on the situation with the total number of documents in the upload queue, on the volume of "urgent" SAMDs and error analytics. told Elena Ruzova, project manager of the IEMK team of Netrika Medicine |
As of November 2023, the updated version of the tool "N3. Expanded Data Unloader in the RAM: Unloading Management Mechanisms" works in 5 regions of the country, another 11 are planned to be implemented by the end of 2023. The tool ensures the interaction of regional health systems with federal Uniform State Health Information System services such as the Federal Register of Electronic Medical Documents (RAMD), the Federal Integrated Electronic Medical Record (FIEMC) and federal the vertically integrated medical information systems (VIMIS).