

CONSULTING

Implementation and Optimisation
Assisting hospitals in optimising and customising of Oracle Health Millennium. This includes configuring the system to meet specific clinical and administrative needs, optimising workflows, and ensuring the system is fully utilised.
Data Extraction
Data extraction in a healthcare context involves the process of retrieving specific and relevant data from large and complex databases, typically within an electronic health record (EHR) system. This process is crucial for various purposes such as clinical research, patient care management, health outcomes analysis, and operational reporting. The key aspects include identifying the needed data elements, ensuring accurate and efficient extraction methods, and maintaining data integrity and compliance with healthcare privacy regulations. The extracted data is then used for analysis, decision-making, and reporting purposes in the healthcare setting.

Custom MPage Development

Oracle Health Millennium offers MPages as way to customise the screen that the users use within Powerchart, SurgiNet or FirstNet to display pertinent information and functionality that supports a unique workflow e.g Managing patients in the home or critical results management in a clinic or department. MPages unlock the power of the Oracle Millennium database and allows for custom views to be created that otherwise would not exist. This means that clinicians can have quicker access to the most relevant patient information, leading to more efficient patient care. Improving the user experience MPages feature a more intuitive interfaces, easier navigation, and clearer displays of information. Utilising an MPage can significantly improve the functionality and efficiency of a clinicians interaction with the eMR system, resulting in enhanced patient care and clinical outcomes.
Advanced Discern Rule Development
"Advanced Discern Rule Development" refers to the creation of sophisticated and customized rules within a healthcare facility's electronic health record (EHR) system, specifically in systems like Cerner. These rules automate and optimize various functions, such as triggering alerts for patient care, extracting specific data for analysis, and enhancing clinical decision-making processes. The development of these rules requires a deep understanding of both the healthcare environment and the eMR system's capabilities, ensuring that the rules are effective, compliant with healthcare regulations, and seamlessly integrated into the healthcare providers' workflow.
