Our Blogs

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.

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.

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.

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).

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.

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.

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

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.

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.

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.

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.

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.

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.

EHR dashboards fall short: the need for a superior analytics platform

Electronic Health Records (EHRs) serve as a cornerstone for managing comprehensive patient data and enhancing clinical workflows. However, as the volume and variety of healthcare data expands, traditional EHR dashboards are increasingly perceived as inadequate.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

CFO’s Top 10 Business Priorities for 2022 - 2023

In the face of adversity, CFOs were surveyed to identify their top business priorities. Here is our CEO’s interpretation on the results.

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.

Re-introducing Humor Humanizes Us

Healthcare workers faced exhaustion, overwork, and personal loss while adapting to survive the pandemic along with their patients.

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.

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.

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.

Mitigating Write-Off Risk

Understanding A/R complexity, including debtors, collection costs, and mitigation strategies, improves financial performance and sustains higher cash collections.

How is Inflation Affecting Patient A/R?

Inflation increases healthcare costs, causing higher patient A/R balances and potential difficulties in payment.

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.

RCM Leadership is More than Just Collecting Cash

RCM leadership is more than just collecting cash. Learn about what attributes lead to success.

Introducing Intelligence to the Revenue Cycle

Data’s 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.​

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.

Addressing Staffing Shortages

Address staffing shortages with AI-driven RevIntel. Identify revenue leakage and optimize efficiency. Embrace AI for competitive healthcare RCM.

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.

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.

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.

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.

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.

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.