To Stream or Not to Stream, That is the Question

data streaming

Considering Modern Data Integration Methods Overview As more organizations implement robust data solutions and technology advances, there is always debate about what the best architecture, methods, and applications are to bring these solutions to life. Relational structured databases referred to as the modern data warehouse have been a favorite for it’s flexibility, ease of use,

The Bridge Between a Company’s Growth and its Data Analytics Strategy

Drawing from extensive experience working with lots of fast-growing companies, I knew there was more to better decisions than just more tools, more dashboards, and more visualizations. In addition, getting to insights faster doesn’t always ensure you’ll get to the correct business aspirations. The essence of strategy is to find a unique position in your business that

Democratizing Data Governance

data governance, data democratization

Analytics community governance is the concept that those who know the data most – those who create, analyze, and draw conclusions from the data – should be the ones creating governance policies around that data. Also known as bottom-up data governance, this practice ensures buy in from key stakeholders and end users while also creating

Modernizing Healthcare Revenue Cycle Management

RCM Modernization

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.

The Revenue Cycle Management Modernization Process

Healthcare Data Ecosystem

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 Technology Framework for Modernizing Revenue Cycle Management

Revenue Cycle Management,

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

The Case for Automating Revenue Cycle Management

revenue cycle management, healthcare automation, healthcare

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

Defining the Revenue Cycle Process Flow

Healthcare revenue cycle flow

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

The “Now” Healthcare Innovation

healthcae data revolution and innovation

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

What Can Fundraisers Learn from Sales Data Science?

For the past few years we’ve worked closely with Higher Education Institutions on applying data analytics to optimize student admissions, financial aid, student retention and academic outcomes. We recognized from the onset that this student “lifecycle” has a straight progression to an alumni lifecycle which has a critical goal of fostering school loyalty and giving.


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