RCMS facilitates users, institutions, and enterprises to collect, author, assess, and distribute radiology content in various formats that uniquely facilitate next-generation radiology learning. It is an innovative assessment tool that helps educators to gather and organize timely information and it is Easy To Use, With Personalized Support. All the radiologists, oncologists, nuclear medicine physicians & medical physicists are trying to develop Radiology to serve patients and society by empowering members to advance the practice, science, and professions of radiological care. Designing different structures i.e DEW’s to store all patient cases under its respective courses and categories used to gain the knowledge in their streams, Users can create a learning activity by comprising the cases which have been posted by the doctors from multiple sources.

SIM performs as a system that typically provides dual monitoring presentations such as DICOMs and case contents to identify gaps to round out knowledge. SIM manages a bundle of cases and Natural Language Process(NLP) questions that provide a set of rules under different courses/categories. Natural Language Process (NLP) designed to completely manage the terms and matching expressions of the case where the radiologists should match with the terms for the correct answer. Sets of DICOM images with modern educational theory will let the radiologists to self-paced acquiring knowledge and can gain CME credits. Radiologists can monitor their progress and directly access SIMs by launching into the Simulation Portal.

​With a single click, the user can push the radiology case data to the content management system. The extension takes the HTML page and radiology case parsing scheme returns data defined by the parsing scheme, It fills the radiology case data (History, Findings, Diagnosis .,) with images in respective fields. Users can choose the necessary content and push it to the Radiology Content Management System.

PowerPoint parsing has a variety of integration strategies for embedding content from the PPTs consisting of several cases that have radiology contents (History, Diagnosis, Finding, Images etc.,) to the PPT parser. Using that embedding content, cases will be created automatically in CMS. Cases can be created in two ways either by Create a case without review or modify the content manually and then create. PowerPoint parsing leverage is to get a Parse report that has the count of ‘Total number of cases’, ‘successfully parsed’ cases and ‘failed cases’ with slide numbers. Parsing can be done in two ways either by Regular(Each case in one slide) or Advanced(Each Case in one or more slides).

Rules data is organized as topics, variants, procedures, scenarios with attached metadata. All data changes are tracked and versioned as releases. Panel members are registered for each panel, subgroups. Activated and deactivated, participation tracked. Review process includes panel members assignment for each topic, submission by each panel member, submission by lead author commenting by others, multiple rounds of review, voting and finalizing topic.

This system has user management to control access to the archived data. This has extensive data search filters including facility, patient demographics, DICOM metadata. It uses specialized search optimization system for searching and bringing back large amounts of data in a relatively small amount of time. Loading and indexing of data on periodic basis. Users can create datasets needed for pipelines and ML algorithms / programs. This is integrated with Linux systems with GPU to run ML algorithms requested by users with their datasets.

MIPS automates data collection Fourteen QCDR measures spanning across two NRDR data registries including MIPS Specific measures. MIPS streamlines three historical Medicare programs — the Physician Quality Reporting System (PQRS), the Value-based Payment Modifier (VM) Program and the Medicare Electronic Health Record (EHR) Incentive Program (Meaningful Use) — into a single payment program.

Features include creation of Monthly Editor Choice by editors and reviewed by Chief Editor, publish monthly editor choice to all the registered users through email., manage seminal citations. manage Editorial board for Radiation Oncology & AI specialties, self-registration by users. "My Library" feature for all registered users to manage library of citations. Analytics on registrations and user experience data. Citations are added to the system with the help of National Library of Medicine (NLM).

This system has a registration feature with all applicable questionnaire templates for clinics proving RO services. Workflow includes assignment of panel members, site visit, and peer review of metrics. This has an offline feature where panel members can save the review findings offline. This is useful as some radiology dark rooms are in the basements where internet connectivity is an issue. Workflow also includes renewal reminder emails and revoke accreditation. This has a mock accreditation feature where practices can go through the process not resulting in accreditation certification.

Accreditation system is a web based application which allows facility users to apply for accreditation for their respective facilities. Agile model is introduced into system. Modalities like MAP, NMAP, UAP, etc., will be available in the system. Various new pages, dictionaries are added to Accreditation system for the newly added modalities.