Meduit AI Quick Q

Q17: How can MeduitAI be leveraged to reduce claim denials?

Answer: Our MeduitAI team recently utilized multiple applications of AI technology that solves claim denial issues including:

  • Claim status for multiple commercial payers
  • Timely filing appeals (fully automated with zero human intervention writing and filing an appeal letter)
  • No authorization appeals (fully automated)
  • COB appeals (fully automated)
  • Coding appeals (fully automated)
  • Claims edit clearing – (live and clearing 60% of the edits that previously had to be manually worked for a large, multi-site, multi-specialty physician group)
  • Automation of secondary adjustments
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Previous Questions

Q1: Where can artificial intelligence impact your healthcare revenue cycle?

Answer: MeduitAI solutions support revenue cycle solutions for:

  • Clinical coding
  • Pre-authorization
  • Claims follow-up
  • Predicting patient and payer actions
  • Solving specific task problems (SARA Family of Bots)

Q2: What is SARA - Meduit's newest AI solution?

Answer: SARA is short for Supervised Autonomous Revenue Associate. She is the first of Meduit’s family of web bots that are designed to solve specific revenue cycle tasks. SARA was developed to address a specific issue presented to Meduit by Blue Cross Blue Shield of North Carolina.

Q3: How much could providers save by automating eligibility and benefits verification via Al solutions?

Answer: By automating eligibility and benefits verification, providers could save $6.52 per transaction or just over $4 billion per year.

Q4: Meduit's new family of web bots is called SARA.  She does the work of how many employees?

Answer: SARA is doing the work of 12 full-time employees, delivering month after month with no downtime.

Q5: What percentage of healthcare leaders are looking to solutions that leverage artificial intelligence (AI) to support their operations?

Answer: 75% of healthcare leaders report that they are actively implementing or planning to execute an AI strategy to meet the demands of the current environment because of the speed, flexibility and scalability that AI solutions deliver.

AI needs to be a part of that broader AI strategy with its ability to generate more cash
faster and steadier right now. (Source: OptumIQ Annual Survey on AI in Health Care)

Q6: Where can artificial intelligence impact your healthcare revenue cycle?

Answer: MeduitAI solutions support revenue cycle solutions for:

  • Clinical coding
  • Pre-authorization
  • Claims follow-up
  • Predicting patient and payer actions
  • Solving specific task problems (SARA Family of Bots)

Q7: Revenue cycle management tools that leverage advanced predictive analytics and artificial intelligence have been shown to generate what percentage average increase in collections?

Answer: Meduit’s MedProveTM suite of revenue cycle management tools leverage advanced predictive analytics and artificial intelligence to generate 18.4% average increase in collections.

Q8: Since most healthcare organizations are understaffed, how can artificial intelligence support existing revenue cycle staff?

 

Answer: It’s true -- most health organizations are understaffed, but what we’re seeing when they adopt artificial intelligence to support certain revenue cycle tasks is that they are accomplishing tasks they weren’t getting to anyway. AI solutions can be designed to work hand-in-hand with existing staff, performing less complex work that still produces value in cash acceleration and accounts receivable reduction.

Q9: How does MedAutoCode™ utilize technology for autonomous patient chart coding?

 

Answer: Here’s how MedAutoCode™ works. Charts are fed from the provider’s EMR to MedAutoCode, which automatically identifies and captures every clinical aspect of a chart utilizing artificial intelligence and natural language understanding. The system identifies what is relevant as well as the most accurate code to use and assigns codes only for charts it can fully categorize. MedAutoCode requires fewer than five seconds to code a patient chart and requires no human intervention.

Q10:Meduit’s SARA Family of Web Bots is growing and learning exponentially. SARA began with resolving one task problem. How many scenarios is SARA working today?

 

Answer: The SARA Family of Web Bots was developed to solve a task problem for one Meduit client. Over the last 6 to 8 months, SARA has grown to 12 applications and is setting a new standard in the industry.

Q11: Does Meduit offer an AI solution that can help identify patients eligible for community and charity benefits?

Answer: Yes. MedProve CharityTM leverages AI to extend community and charity benefits to more patients and to help hospitals reduce the financial strain on patients and the system.

Q12: What questions shold providers ask when looking for a partner to provide AI RCM solutions?

Answer: When looking for an RCM partner to provide AI solutions, be sure to ask these questions:

  • Does the company specialize in revenue cycle management (RCM) solutions specifically for healthcare?
  • Does the company also offer non-AI RCM solutions that effectively leverage one another?
  • Can the company customize RCM solutions for certain tasks?
  • Does the company have a strong track record of working successfully in healthcare RCM?
  • Does the company provide exemplary customer service to their clients and their clients’ patients?

For more information, download the Meduit AI Buyer’s Guide.

Meduit AI Buyer's Guide

Q13: Is there an easy way to provide patients with a personalized explanation of their hospital bill?

Answer: Meduit’s Patient Concierge App – Eve – takes patients through their bill, explaining each part of it. Watch our video to see how Eve works:

Q14: SARA - Meduit's Supervised Autonomous Revenue Associate - solves dozens of task problems for healthcare providers.

Answer: Watch Meduit's newest video to see all that SARA is doing today:

Q15: What is the EVE Patient ConciergeSM app, and what does it do?

Answer: The Eve Patient ConciergeSM app is a downloadable phone app that features a three-dimensional avatar named Eve who walks patients through their hospital bill. To launch Eve, the patient simply scans a QR code on the bill. Eve appears and explains every part of the bill to them and prompts them to pay their bill. Eve is available to Meduit’s Early Out/EBO customers. Watch the video to learn more.

Q16: Can artificial intelligence help with collecting the patient portion of medical bills?

Answer: Part of the MedProve suite of prediction solutions, MedProve Patient leverages artificial intelligence to predict patient propensity to pay so providers can optimize collection efforts by focusing billing resources on the patients who are more likely to pay.

Artificial Intelligence (Al) is a game changer that delivers reduced human touches, increased efficiencies and lower costs. The MeduitAl suite of solutions elevates accounts receivable in order to accelerate cash to providers' bottom lines. MeduitAl includes:

S1

MedAutoCodeTM: Autonomous clinical coding that leverages Al and natural language understanding to eliminate manual processes and increase accuracy

S2

Voice Analytics: Analyzes collections calls to hospital and health system patients to drive better patient experiences on behalf of hospital and health system clients

S3

Automated Pre-Authorization: Automatically submits an authorization, including required clinical information, when triggered by a new order or schedule entry

S4

Automated Claims Follow-Up: Goes beyond a simple claim status to determine and execute the next action needed in order to get that claim resolved

MedProveTM

MedProve PatientTM: Predicts a patient's propensity to pay

MedProve PayerTM: Helps providers reduce denials by intervening with a claim before the payer can delay or deny the claim

MedProve CharityTM: Generates a presumptive score to help providers focus resources on patients most likely to qualify for charity programs

Contact MeduitAl to learn more
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