Client
Effective Surgical Outcomes
GREATERANESTHESIASOLUTIONS
Intelligent Billing for Healthcare Revenue Cycle Management
Get Free ConsultancyIndustry
Anesthesia Services
Services
Automated Error Handling to Limit Manual Intervention
Tech
Python
Project Overview:
Greater Anesthesia Solutions
Hospitals bleed over 3–5% of their revenue due to revenue leakage. Greater Anesthesia Solutions, a prominent anesthesia services provider, faced numerous challenges in billing against the hospitals they served. This negatively impacted their healthcare revenue cycle management. The challenges in their anesthesia billing operations were caused by incomplete medical records retrieval, inefficient data integration, and no means of error handling.
AkshatMedTech Digital Health helped them mitigate the gaps in billing data, unnecessary bot actions, and a lack of real-time notification when errors occurred which led to improvements in the healthcare revenue cycle management in anesthesia.
Problems in Healthcare Revenue Cycle Management
Greater Anesthesia Solutions faced three significant challenges managing patient safety, ensuring cost-effective procedures, and navigating complex regulatory requirements. Each of these hurdles required strategic planning and innovative solutions to overcome. By addressing these issues, the company aimed to improve operational efficiency and patient outcomes.
- Incomplete Medical Records Retrieval:Manual Data Management: Their system struggled to retrieve the necessary medical records from the hospital systems, leading to incomplete data sets required for billing operations. Finding cases where records were missing and making sure that no important information was missed was a difficult and time-consuming task that caused delays and loss of revenue.
- Inability to Detect Data from Multiple Sources:The script’s inability to precisely detect when all required data had been populated from various sources caused issues for the Charge Entry workflow. As a result, bot activities were improperly triggered, wasting system resources and raising operating expenses.
- Error Handling & Reporting:The current system needed proper error handling and reporting capabilities, making it impossible for billers to monitor bot performance and respond to errors quickly. This resulted in inefficiencies and potential delays in the billing operations process.
Charge Entry● Bots runningSearch…
AllMissing recordsReadyErrors
CaseFacilityProviderRecordsStatus
ANE-4210St. MaryDr. LeeError
ANE-4217RiversideDr. ShahReady
ANE-4224MercyDr. OrtizPending
ANE-4231UnityDr. KimRetrieving
ANE-4238St. MaryDr. WongError
ANE-4245RiversideDr. LeeReady
ANE-4252MercyDr. ShahPending
ANE-4259UnityDr. OrtizRetrieving
ANE-4266St. MaryDr. KimError
Our Solution: Intelligent Data Retrieval & Integration
To streamline healthcare revenue cycle management for Greater Anesthesia Solutions, AkshatMedTech Digital Health implemented advanced backend development strategies and error-handling techniques. Our approach included:
A Central Controller for Bot Operations
A backend Python script that acts as the central controller for bot operations. It identifies missing medical records, automatically notifies bots to fetch the necessary data, and reports results directly to the charge entries.
Data Validation Logic
This logic validates the data from sources such as HL7, SIU, ADT, ORU feeds, CSV files, and OCR-scraped information. This ensures that the system accurately tracks whether all the details have been collected, hence optimizing unnecessary bot dispatches.
controller.py
1def controller(case):
2 missing = find_missing(case)
3 for rec in missing:
4 bot.dispatch(rec)
5 validate(HL7, SIU, ADT, ORU)
6 notify_billers(errors)
7 return charge_entry(case)
Automated Monitoring Tools
Automated monitoring tools within the script track bot performance, log failures, and provide real-time notifications to billers. This ensures that the billing process can proceed without unnecessary interruptions.
Impact
Billing · Charge review● Live
Patient
Procedure
Anesthesia time
Modifiers
Payer
ValidateSubmit claim
Our client experienced improved billing accuracy and reduced time spent on manual data checks.
These solutions boosted the efficiency of the healthcare revenue cycle management.
Our client saw a marked decrease in redundant bot operations, which led to significant cost savings and more efficient resource utilization.
They experienced faster billing cycles and a reduced likelihood of errors.
Billers can address issues as they arise without delays.
Don’t Let Data Gaps Disrupt Your Anesthesia Billing
Connect with our experts to ensure your backend operations are optimized for accurate and efficient anesthesia billing. We’ll help you address data issues and streamline your billing processes.