I have extensive experience with various revenue cycle management systems, including Epic and Cerner. In my previous role, I led a team that identified inefficiencies in the billing process, such as delayed claims submissions and denied claims. We implemented automated workflows and real-time analytics to monitor and address these issues, resulting in a 15% reduction in denials and a 10% increase in cash flow within six months.

When integrating new technologies, I first conduct a thorough needs assessment to understand the specific challenges and opportunities within the mid-revenue cycle. I then collaborate with IT and other stakeholders to select and implement solutions that align with our strategic goals. For example, we recently integrated a new claims scrubber tool that reduced errors by 20% and improved our first-pass payment rate.

Improving communication and collaboration involves establishing regular cross-departmental meetings and creating shared dashboards that provide real-time visibility into key performance indicators. In my previous role, we implemented a weekly 'Revenue Cycle Roundtable' where billing, coding, and collections teams could discuss issues and share best practices. This led to a more cohesive workflow and a 12% reduction in claim processing time.

Success is measured through key performance indicators (KPIs) such as first-pass payment rate, denial rate, and average days in accounts receivable. I also track the impact on cash flow and patient satisfaction. For instance, a recent initiative to streamline pre-authorization processes resulted in a 25% decrease in pre-authorization time and a 15% improvement in patient satisfaction scores.

In a previous role, we transitioned to a new electronic health record (EHR) system, which required significant changes in our mid-revenue cycle processes. I led a cross-functional team to develop a comprehensive change management plan, including training sessions, communication strategies, and a phased implementation. This approach ensured minimal disruption and a smooth transition, with a 95% staff adoption rate and no significant increase in claim denials.