Nursing
Ontology
on I'MTHOM.

I’MTHOM adopts the latest version of the Nursing Ontology, a reference model designed to describe the concepts and relationships within the clinical nursing process.

Nursing Ontology contributes to the generation of systematic and reliable indicators of nursing care and is mapped with ICNP 2019, SNOMED CT, and soon with ICF and other international standards, facilitating semantic interoperability between healthcare information systems.

News and insights

Improving hospitals’ operational efficiency

Academic research supports hospitals’ investments in healthcare information technology systems by employing modern Electronic Health Records (EHR) as part of effective financial strategic plans to enhance cost performance.

Based on empirical data from 200 hospitals collected from U.S. healthcare agencies, this study demonstrates how hospitals can strategically utilize their resources to positively drive operational performance.
I’MTHOM is a modern software platform that provides a centralized solution for PAS, EHR, and RCM. By unifying these critical areas I’MTHOM enhances operational efficiency and gives healthcare providers complete control over every aspect of their operations.

Enhancing Patient Care with the Power of Patient Data

Electronic health records (EHR) are key to helping manage patient outcomes and provide precise, up-to-date, and thorough clinical information, leveraging predictive analytics in areas such as:

• Monitoring patient risk levels
• Forecasting potential chronic issues
• Identifying opportunities for early intervention

Predictive tools analyze family histories and medical indicators to flag at-risk patients, raising a market value of $22.59 billion by 2027, according to IMARC.

I’MTHOM feeds predictive tools and promotes the right information flow for collaborative, data-integrated patient care.

Research shows that vendor choice does not ensure interoperability

This study introduced a quantitative method to measure interoperability using real-world data and found that interoperability is generally low. Even among institutions using the same vendor, only about two-thirds of data types are accurately interpreted. True interoperability requires consistent data mapping to shared standards across institutions. Interoperability is influenced by both vendor product features and institutional implementation choices. However, focusing interoperability efforts on specific data elements could lead to misleading improvements.
I’MTHOM adopts FHIR platform specifications that defines a set of capabilities for use across the healthcare process. We aim to create a unified healthcare ecosystem that benefits both patients and institutions.