Revolutionizing Clinical Decision Support Generative AI (Gen AI) is emerging as a transformative force in patient care and clinical decision support in the rapidly evolving healthcare technology landscape. At CTI Data, we’re at the forefront of this revolution, pioneering the integration of Gen AI with a comprehensive array of healthcare data to enhance clinical decision-making
This short demonstration of Generative AI seamlessly connects healthcare enterprise structured and unstructured data. The demo uses clinical data and clinical notes, but it could be insurance data and claim descriptions, or customer accounts and agreements, anything. People constantly flip between these two data worlds, and we show how Gen AI can bring them together.
As the industry evolves, provider organizations will need to continue to adjust to attain revenue cycle excellence. A provider’s financial well-being is nearly always tied to the revenue cycle of the clinical practice. Higher-performing organizations have high levels of stakeholder engagement “up and down” the organization creating cascading scorecards that build toward common organizational goals.
From large-scale initiatives that bundle enhanced revenue cycle functions with overall organization performance, to new technology implementations, to effectively leveraging outside expertise, modernizing the revenue cycle involves more than taking a few steps and is more of a journey. Architecting a modernization process is best begun by developing and documenting process workflows and overlaying functional
A provider’s financial well-being is nearly always tied to the revenue cycle of the clinical practice. The commitment to measuring and monitoring performance is key for making process adjustments and setting appropriate goals. Technology integrated with practice management (PM) systems can accurately automate many RCM processes, which effectively increases cash flow, decreases staffing need, and
Our ongoing surveys of the healthcare environment have provided feedback from over 150 healthcare systems across the spectrum – general practices, specialist practices, acute care, behavioral health, substance abuse – and more than three-quarters identify the revenue cycle as their most pressing non-clinical challenge. Revenue cycle management is complicated and undergoing externally driven structural change
Successfully implementing an effective RCM strategy relies on developing a cohesive framework that is to be managed. For the purposes of this discussion, I’m defining the healthcare revenue cycle to include all administrative and clinical functions that contribute to the capture, management, and collection of patient service revenue. At a high level, the many steps
CTI Healthcare blog series: A Prescription for Improving Patient and Institutional Financial Wellbeing Innovation: The “Now“ Modern Healthcare Data Architecture Part 5 of 5. The healthcare industry produces massive volumes of data every day—from claims and cost data to clinical trials, electronic medical records, and even online patient sentiments. on-the-fly. most professionals within the industry,
CTI Healthcare blog series: A Prescription for Improving Patient and Institutional Financial Wellbeing Creating a Healthcare Data Ecosystem – A Lesson from the Business World – Part 4 of 5. The healthcare industry has been playing IT catch-up, as the IT paradigm is already changing. Healthcare technology, by that I mean the IT that runs
CTI Healthcare blog series: A Prescription for Improving Patient and Institutional Financial Wellbeing The “Now” Healthcare Innovation Part 3 of 5. The business of healthcare is a mess. Observe the deep-rooted dual challenges of escalating costs coupled with deteriorating health – it’s an unsustainable paradox not only for the healthcare industry but for society in
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