The digital transformation of healthcare and the «closing» of the digital loop requires new approaches to generating statistical data, shortening their path from entry into records to visualization on analytical dashboards.

OBJECTIVE

To develop and test models of automated healthcare reporting based on primary data to improve the state system of medical statistics.

MATERIAL AND METHODS

Study materials: normative legal documents of the legal reference system ConsultantPlus, objects of the portal of normative and reference information of the Ministry of Health of Russia, including classifiers, directories, codifiers, and nomenclatures on the official resource of the Russian Federation (https://nsi.rosminzdrav.ru). This portal is a software suite called «Registry of referential information of the healthcare system,» which hosts the objects of referential information. Primary study methods used include information-analytical, statistical, and information-technological modeling methods.

RESULTS

The analysis of regulatory legal documents showed that the unity of the digital loop in healthcare could be ensured through information interaction of public healthcare organizations with private and departmental healthcare organizations, which requires seamless integration with related state information systems of Obligatory Medical Insurance (OMI), Roszdravnadzor, Rospotrebnadzor and constituent entities. During the development of automation models for statistical information collection, three sets of issues are identified for solving and elaborating: methodological, technical, and organizational. The implementation of the methodological stage showed the need to describe and determine the correspondence of each cell of the reporting form to the fields of medical records (mapping) and develop an algorithm for obtaining it from the primary records. Two data source models were identified: registry-based and structured electronic medical records. Sets of technical measures within the framework of possible implementation and use of these models were identified and analyzed, including completeness of information and possible organizational measures, five stages of the healthcare transition to digital statistics based on primary data were developed.

CONCLUSION

The development of a digital model for reporting documentation from primary data will require the mapping of fields. This model implementation will make it easier to obtain information, improve its integrity, detail, and timeliness, reduce the staff workload, ensure the development of a network of medical organizations and improve determining the need for healthcare facilities and targeted medical care extent.