Qlik Highlights AI for Instant Health Analytics

- Qlik's agentic AI is designed to create a single, conversational interface for users to interact with data through specialized AI agents. This technology aims to automate complex tasks, uncover deeper insights, and expedite the process of turning data into actionable decisions. The global agentic AI in healthcare market is projected to reach $4.96 billion by 2030. - For nurses transitioning to informatics, the American Nurses Credentialing Center (ANCC) offers the Nursing Informatics Certification (NI-BC). Eligibility generally requires an active RN license, a bachelor's degree, two years of full-time RN practice, 30 hours of continuing education in informatics, and a minimum of 2,000 hours of practice in informatics nursing within the last three years. - ICU experience is highly valuable for health IT roles as it provides a deep understanding of clinical workflows, which is essential for tasks like EHR optimization. A common pain point for nurses is the time spent on clinical documentation, with some reports indicating over 30% of a 12-hour shift is spent in the EHR. EHR optimization projects, such as redesigning flowsheets in Epic, have been shown to save nurses significant time, in one case reducing documentation time by 18 minutes per 12-hour shift. - Understanding end-user frustrations is key for an informaticist; common complaints from nurses about EHRs include slow system response times, inefficient workflows that hinder patient care, and a lack of adequate training. In one survey, 68% of nurses cited slow loading times within the EHR as a source of dissatisfaction. - Knowledge of interoperability standards is crucial, with Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) being a key standard for exchanging healthcare information electronically. FHIR utilizes modern web technologies like RESTful APIs to allow different EHR systems and applications to communicate with each other. - Federal regulations from the Office of the National Coordinator for Health IT (ONC) and the Centers for Medicare & Medicaid Services (CMS) mandate the use of standardized APIs to promote patient data access and prevent information blocking. These rules are driving the adoption of technologies that enable seamless data exchange between providers, payers, and patients. - AI is being increasingly used for clinical decision support in acute care by analyzing patient data to provide predictive recommendations and alert providers to potential risks. This helps in proactively managing patient health and improving outcomes. - To strengthen technical credibility, aspiring informaticists should develop skills in data analytics and be familiar with EHR platforms. Some successful clinical informatics specialists have acquired skills in SQL and basic Python programming.