Unlocking Smarter Scheduling Decisions with AI
AI is the trend of the entire world these days, especially in healthcare, and efficient revenue cycle management (RCM) is crucial for sustaining financial health.
Author: Carrie Bauman, Year: 2025
Cut Costs and Simplify Billing with AI
The pressure of rising labor and supply costs combined with ongoing reimbursement pressures are creating a pressure cooker in healthcare.
Author:Carrie Bauman, Year: 2025
Unlocking Smarter Scheduling Decisions with AI
Healthcare organizations need every appointment slot to ensure patient access and predictable revenue streams.
Author: Ivan Bradshaw, Year: 2025
Top 10 Insurance Reimbursement Challenges and Solutions For Physical Therapy Practices
Navigating insurance reimbursement can be a daunting task for physical therapy practices. As a leader in healthcare, you understand the importance of streamlining operations to maximize revenue while ensuring compliance.
Author: Carrie Bauman, Year: 2024
Key Alerts for RCM Metrics
Healthcare leaders face the challenge of navigating an intricate web of processes and data within the revenue cycle. Managing these processes effectively is pivotal for maintaining financial stability and operational efficiency.
Author: Carrie Bauman, Year: 2024
What to do When your EHR Platforms Lacks Operational Analytics
Healthcare leaders are always looking for innovative solutions to improve operational efficiency, reduce costs, and deliver better patient outcomes. One of the biggest challenges most organizations face is the lack of actionable insights from traditional Electronic Health Records (EHR) platforms.
Author: Carrie Bauman, Year: 2024
The Superpower of Data Visualization
When it comes to the healthcare revenue cycle and financial management, data is king. Virtually every healthcare leader has been tasked with improving patient care, reducing costs, maximizing revenue – or all of the above.
Author: Carrie Bauman, Year: 2024
A RevEval Assessment: AI and Benchmarks to Assess RCM Health
As a healthcare leader, managing your revenue cycle effectively is critical to sustaining and growing your organization. With evolving challenges like the transition to value-based care, regulatory mandates, and staffing shortages, maintaining financial stability is a growing concern.
Author: Ivan Bradshaw, Year: 2024
Empowering Healthcare Leaders with Real-time Data
Healthcare leaders have been preparing for a while and data-driven decision-making with real-time data is changing the game on this year’s strategy sessions.With rising demands on healthcare systems and the increasing complexity of patient care, using data to make decisions is no longer a visionary concept, absolutely essential.
Author: Gautam Char, Year: 2024
Using AI to overcome surgical complexities associated with IOLs
The first step in solving a problem is breaking it down into component
pieces to gain greater clarity into the required elements. There are many moving pieces to IOL
surgical and lens billings that need to be considered to successfully secure reimbursement. This
blog will discuss some of these key challenges that can be addressed with AI.
Author: Carrie Bauman, Year: 2024
Enhancing Provider Capacity in Ophthalmology to Reduce Costs and Increase Revenue
Balancing patient care with practice efficiency is essential for
maintaining financial health and maximizing growth for ophthalmology practices. As an ophthalmology
practitioner or administrator, you are likely aware of the pressures to enhance productivity while
reducing costs.
Author: Ivan Bradshaw, Year: 2024
AI Reduces No-Shows and Late Cancellations in Ophthalmology Scheduling
As an ophthalmology practice, you know that no-shows and late
cancellations can disrupt daily operations and negatively impact both revenue and patient care. With
data-driven scheduling powered by WhiteSpace Health’s advanced analytics platform for ophthalmology,
you can finally minimize these disruptions and create a more efficient scheduling process.
How Ophthalmology Practices Improve Performance with Revenue Benchmarking and AI
Maximizing revenue and operational efficiency is vital for ophthalmology
practices. One way to achieve this is through revenue benchmarking, a strategy that allows you to
compare your performance metrics against similar practices nationwide.
Author: Carrie Bauman, Year: 2024
Importance of Tracking Billing KPIs in Healthcare Organizations
Efficient billing processes are critical to maintaining financial
health. Accurate billing directly impacts cash flow, revenue cycles, and operational efficiency. One
of the most effective ways to keep your billing process on track is by monitoring billing KPIs (key
performance indicators).
Author: Carrie Bauman, Year: 2024
Private Payers Increase Profits by Refusing or Delaying Legitimate Claims
Private payers have found ways to increase their profits by refusing or
delaying legitimate medical claims. As a healthcare organization, you may have noticed how these
strategies affect your cash flow, disrupt patient care, and escalate administrative burdens.
Author: Carrie Bauman, Year: 2024
30 Days or Less: Maintain MGMA AR benchmark with AI analytics platform
Efficient accounts receivable management (AR) is crucial to maintaining
financial health. One of the key indicators of a well-managed revenue cycle is the ability to
maintain accounts receivable within 30 days, aligning with Medical Group Management Association
(MGMA) standards.
Author: Carrie Bauman, Year: 2024
Emerging trends in healthcare AI analytics
The healthcare industry is increasingly relying on artificial
intelligence (AI) to streamline operations, improve patient care, and optimize financial
performance. With the rise of data-driven healthcare solutions, AI analytics platforms have emerged
as powerful tools
Author: Gautam Char, Year: 2024
Why Should Healthcare Organizations Measure Payment KPIs?
Maintaining financial predictability is vital for sustainability in any
healthcare organization. Hospitals, medical groups and clinics, face numerous challenges that can
lead to revenue loss if not carefully managed.
Author: Carrie Bauman, Year: 2024
Denial Prediction Using Machine Learning: A Practical Tool for Healthcare Leaders
The short answer is yes. It is not only possible but increasingly
accessible. Industries like finance and retail have long leveraged machine learning (ML) and
artificial intelligence (AI) to make data-driven predictions, and now healthcare is catching up.
Author: Sudhir Kshirsagar, Year: 2024
How to use AI-driven analytics platform to track AR
Managing accounts receivable in healthcare is crucial for ensuring a
steady cash flow and financial stability. However, tracking and managing outstanding AR can be a
time- consuming and complex task for healthcare organizations. Fortunately, advancements in AI for
accounts receivable are revolutionizing the way healthcare providers track and resolve outstanding
balances.
Author: Carrie Bauman, Year: 2024
Payers' Rising Claim Denials and Delays Devastate Provider Revenue Cycles
As a healthcare provider, managing your healthcare revenue cycle has
never been more challenging. With insurance claim delays and claim denials on the rise, your
organization’s financial health is at risk.
Author: Carrie Bauman, Year: 2024
RevEval: AI's Role in Comparing Historical Data for Practice Performance
Practices face increasing reimbursement challenges from payers and
patients. In this setting, making the most of every dollar earned has become critical for
maintaining financial health. To address this, leveraging advanced AI in historical data analysis
has proven to be a game-changer.
Author: Ivan Bradshaw, Year: 2024
Survey Finds Providers Spent $10.6B Overturning Denied Claims
A recent survey has revealed that healthcare providers across the United
States spent an estimated $10.6 billion in 2022 overturning denials in medical billing. These
staggering figures highlight the significant financial and administrative burdens placed on
healthcare systems by the need to challenge insurance claim disputes.
Author: Carrie Bauman, Year: 2024
What is the Role of AI in Healthcare Operational Analytics?
Artificial Intelligence (AI) is revolutionizing various sectors, and
healthcare is no exception. The integration of AI in healthcare operational analytics is
transforming how healthcare providers manage operations, enhance efficiency, and improve patient
outcomes.
Author: Carrie Bauman, Year: 2024
6 AI Benefits for the Back-office
Back-offices are increasingly harnessing the power of Artificial
Intelligence (AI). These technologies are not merely buzzwords. They introduce essential changes
that fundamentally enhance Revenue Cycle Management (RCM), practice management automation, and
medical billing automation.
Author: Carrie Bauman, Year: 2024
How can practices increase revenue efficiency using revenue cycle data?
Maintaining a robust and efficient revenue cycle is crucial for the
sustainability and growth of medical practices. As technological advancements continue to transform
healthcare administration, the ability to harness comprehensive revenue cycle data has become
pivotal.
Author: Carrie Bauman, Year: 2024
What is different about using billing analytics AI to generate actionable reports
Traditional methods of generating billing reports often fall short,
leading to inefficiencies, inaccuracies, and missed opportunities.
Author: Ivan Bradshaw, Year: 2024
Using AI to Resolve Coding Related Denials
Mistakes in medical coding, such as assigning wrong diagnosis or
procedure codes or using inappropriate modifiers, can result in claim rejections.
Author: Ivan Bradshaw, Year: 2024
Reacting to yet another Physician Pay Cut
As the CEO of a healthcare technology organization enabling providers to
improve their profitability, my eyes are trained on the market dynamics that can affect the
financial health of the clients we serve.
Author: Gautam Char, Year: 2024
Using AI to Resolve Lack of Insurance Coverage Denials
Denied claims are one of the largest sources of frustration for CFOs and
revenue cyclemanagers (RCM) in all sorts of healthcare organizations.
Author: Ivan Bradshaw, Year: 2024
Using AI to Resolve Medical Necessity Denials.
Before jumping straight into resolving denials, we need to first define
medical necessity.Medical necessity refers to the determination by an insurance company that a
healthcare service or procedure is reasonable and necessary for the diagnosis or treatment of a
patient’s medical condition.
Author: Ivan Bradshaw, Year: 2024
Leveraging AI to Eliminate Missing and Invalid Information Denials in Healthcare: A Comprehensive
Guide.
Missing or invalid information denials occur due to various reasons,
such as incomplete patient or provider details, incorrect coding, lack of authorization, missing
documentation, duplicate claims, COB issues, or billing inaccuracies.
Author: Ivan Bradshaw, Year: 2024
How AI is Simplifying Prior Authorization and Reducing Denials.
Authorization refers to the payer’s agreement to pay for specified
treatments before the patient receives care. This process is also referred to as preauthorization or
prior authorization.
Author: Ivan Bradshaw, Year: 2024
139 Revenue Cycle KPIs for Healthcare Organizations.
Effective revenue cycle management is crucial for the financial health
of hospitals and physician groups. This blog explores 139 revenue cycle KPIs (Key Performance
Indicators) vital for monitoring, managing, and enhancing revenue processes.
Author: Carrie Bauman, Year: 2024
What can we learn from Q1 2024 healthcare data security breaches?
As we head on to Q2, it is wise to note that the first quarter of 2024
has brought healthcare data security to the forefront of discussions among healthcare professionals.
With breaches affecting millions, the implications for healthcare and the necessity for robust data
security measures have never been more apparent.
Author: Gautam Char, Year: 2024
WhiteSpace Health at 2024 EDPMA Solution Summit
WhiteSpace Health highlights its participation in the 2024 EDPMA
Solutions Summit, showcasing AI-driven healthcare analytics to advance emergency department
management and operational efficiency, set in Seattle for professionals in emergency care.
Author: Carrie Bauman, Year: 2024
Using ML to Resolve Denied Claims
Harness the power of Machine Learning (ML) to revolutionize the revenue
cycle. Discover hidden patterns in medical claims data, predict the most effective actions, and
achieve successful claim resolution while optimizing efficiency and lowering expenses.
Author: Muthu Krishnan, Year: 2023
Considering ChatGPT for our Analytics Platform
Discover how ChatGPT’s influence on generative AI drives businesses,
including WhiteSpace Health, to explore its potential in boosting customer value, operational
efficiency, and financial performance.
AI Helps Abate RCM Staffing Challenges
The healthcare staffing shortage was dire pre-COVID-19 and worsened
during the pandemic. Hospital CEOs cite workforce challenges as their top concern.
Author: Gautam Char, Year: 2023
AI in the Revenue Cycle: Expanding your Capabilities
Healthcare providers face financial challenges and pressure to improve
revenue cycle management due to staffing shortages, RCM leadership turnover, and payer policy
changes.
Healthcare Revenue Leakage Can Be Fixed
No appointment slots can be wasted if healthcare is to improve patient
access.
Author: Gautam Char, Year: 2023
Average Patient Wait Times are Increasing for an Appointment How Long is too Long?
No appointment slots can be wasted if healthcare is to improve patient
access.
Author: Chris Cousins, Year: 2023
CFOs Top 10 Business Priorities for 2022 - 2023
In the face of adversity, CFOs were surveyed to identify their top
business priorities. Here is our CEOs interpretation on the results.
Author: Gautam Char, Year: 2023
Enhanced Revenue Requires Deep Analytics
CEO Gautam Char shares his thoughts on how healthcare organizations can
solve key problems with deep analytics. Read his newest blog, out now.
Author: Gautam Char, Year: 2023
Re-introducing Humor Humanizes Us
Healthcare workers faced exhaustion, overwork, and personal loss while
adapting to survive the pandemic along with their patients.
Author: Ani Osborne, Year: 2022
Generate Revenue using Scheduling Data and Creativity
Using scheduling data and creativity can increase revenue through
efficient scheduling, reducing no-shows, and maximizing available resources.
Author: Saemica Wilkins, Year: 2022
Find Money in your Schedule and Cycle Time Data
Analyzing scheduling data can help operational leaders identify
opportunities to increase patient volume and improve billing for increased revenue.
Author: Saemica Wilkins, Year: 2022
Pre-Visit Opportunities to Optimize A/R
The front end of a patient visit is vital for revenue cycle as it
includes accurate demographic data, insurance eligibility verification, and advance co-payment
collection.
Author: Cindy Nyberg, Year: 2022
Mitigating Write-Off Risk
Understanding A/R complexity, including debtors, collection costs, and
mitigation strategies, improves financial performance and sustains higher cash collections.
Author: Cindy Nyberg, Year: 2022
How is Inflation Affecting Patient A/R?
Inflation increases healthcare costs, causing higher patient A/R
balances and potential difficulties in payment.
Author: Cindy Nyberg, Year: 2022
No-shows and Cancellations Negatively Impact Provider Utilization and Practice Revenue
Have you introduced intelligence to your revenue cycle? Our CEO has
built more proactive revenue cycle using AI.
Author: Ani Osborne, Year: 2022
RCM Leadership is More than Just Collecting Cash
RCM leadership is more than just collecting cash. Learn about what
attributes lead to success.
Author: Gautam Char, Year: 2022
Introducing Intelligence to the Revenue Cycle
Data Vast Untapped Opportunity. Every data that is vexing us at
present should be used to make informed decisions that allow us to react and improve healthcare and
its revenue cycle.
Author: Gautam Char, Year: 2022
How Revenue Cycle Management Departments Can Put an End to Denied Claims
Clean claims are paid on first submission without intervention, with a
95-97% rate considered high performance by revenue cycle experts.
Author: Gautam Char, Year: 2024
Addressing Staffing Shortages
Address staffing shortages with AI-driven RevIntel. Identify revenue
leakage and optimize efficiency. Embrace AI for competitive healthcare RCM.
Author: Gautam Char, Year: 2024
Best Practice KPIs
Unlock financial success: Boost reimbursement and seal revenue leaks
with powerful KPIs for peak RCM performance. Measure, track, and align your way to prosperity,
making informed decisions for a prosperous future.
Author: Mark Anderson, Year: 2024
Data security and AI-based RCM solutions
In 2023, US HHS reported 327 breaches, a 104% increase from 2022, each
compromising 150,809 health records, impacting 30 million Americans.
Author: Muthu Krishnan, Year: 2024
Are Passwords Keeping Your Data Secure ?
In 2023, US HHS reported 327 breaches, a 104% increase from 2022, each
compromising 150,809 health records, impacting 30 million Americans.
Author: Muthu Krishnan, Year: 2024
12 Ways to Compete with Retail Healthcare.
Discover 12 essential strategies for medical practices to compete
effectively in the era of retail healthcare, ensuring exceptional patient care and practice growth.
Author: Chris Cousins, MBA, Year: 2024
Creating True Change with Improvement Science
Running a medical practice requires data-driven decisions and real-time
monitoring of work streams, from revenue cycle to operations, to prioritize high-performing areas.
Author: Gautam Char, Year: 2024
Primary Care in the Age of Convenience.
Discover 12 essential strategies for medical practices to compete
effectively in the era of retail healthcare, ensuring exceptional patient care and practice growth.
Should AI Be Regulated? Can It Be Regulated?
Q&A With Muthu Krishnan: Chief Technology Officer at WhiteSpace Health.
Barriers to Adoption of AI in the Revenue Cycle
Healthcare revenue managers leverage AI for staff shortages, payer
challenges, billing shifts, and fee recovery hurdles.
Ways AI can improve RCM
AI-Driven Healthcare RCM: Real-time Insights, Task Prioritization, and
Proactive Claim Resolution.
