Author: aslocal

Join us at the Unified All States Meeting, April 12 – 14, 2024, at the Marriott Marquis Chicago to explore enterprise ultrasound automation for improved care and optimized efficiency.

Explore how to optimize the entire ultrasound imaging process, from image acquisition to interpretation and report-sharing:

Improved Efficiency: Streamline repetitive tasks and reduce manual work

Seamless Interoperability: Standardize and create consistency across your enterprise

Data Analytics: Extract valuable insights for improved outcomes and informed decision-making

Sync your data across the enterprise and access from anywhere with automated EHR interoperability for any system. Are you an athenahealth user? Check AS out on the athenahealth Marketplace.

Jeff Schmidt
VP, Sales

Connect with Jeff

Mark Scott

Connect with Mark

The Detailed Financial Transaction (DFT) interface is a vital component within healthcare information systems that enables electronic transfer of information related to billing accounts, charges, payments, adjustments, insurance, and other pertinent financial data.

By providing a standardized framework for exchanging financial information, the DFT interface empowers healthcare providers to achieve greater transparency, accuracy, and efficiency in managing their financial operations:

  • Facilitating the seamless exchange of financial data
  • Streamlining billing procedures
  • Improving revenue cycle management
  • Enhancing overall operational effectiveness

A Detailed Financial Transaction (DFT) message is a component of the electronic communication system used in healthcare. It contains detailed information about financial transactions related to patient care to ensure proper financial management and documentation.

For ultrasound specifically, think of it as a digital receipt that tracks the financial side of ultrasound appointments at your healthcare practice. It can include details such as the charges for the ultrasound service provided, payments made by the patient or their insurance, adjustments to the bill, and relevant insurance information.

These DFT messages make sure you accurately bill for ultrasound services. They help keep track of costs associated with each ultrasound procedure, process payments efficiently, and manage insurance claims.

Essentially, DFT messages help you maintain the financial health of your practice.

A DFT interface enables the seamless transfer of detailed financial data related to ultrasound services from the reporting system to the billing system. It can include information such as the:

  • Type of procedure performed
  • Patient demographics
  • Charges associated with the procedure
  • Insurance details
  • Payments received
  • Adjustments or discounts applied

With a DFT interface in place, healthcare providers can ensure accurate and efficient billing for ultrasound services. It reduces manual data entry errors, streamlines the billing process, and improves overall financial management within the healthcare organization. Additionally, it helps maintain compliance with regulatory requirements and facilitates proper reimbursement for ultrasound services rendered.

HL7 (Health Level Seven) interfaces are commonly used to exchange various types of healthcare data between different systems, such as electronic health records (EHRs), billing systems, and information systems. But the standard HL7 messaging format doesn’t directly support all aspects of billing, such as associating specific billing codes with individual services or procedures.

The DFT integration customizes the HL7 interface to include functionality that enables the inclusion of billing codes directly. For example, when relevant healthcare services or procedures are documented or reported within AS Software, the associated billing codes can be automatically included in the data exchange.

By incorporating billing codes directly into the HL7 messages exchanged between systems, the need for manual intervention or separate processes to add billing information is eliminated. This simplifies the billing process by automating the capture and transmission of billing-related data, reducing the potential for errors and improving efficiency.

AS Software’s DFT Interface enables the exchange of data between the reporting information system and external systems, like your EHR, using a DFT-customized HL7 communications standard.

This DFT integration allows both systems to function as one integrated solution for a clinic or medical practice. It also includes features for exporting patient charge information, charge cancellation messages, and correction charges.

Exporting Patient Charge Information: When a physician signs a report in the AS Software system, patient charge information is exported. This includes details of the services provided to the patient, with the correct billing codes.

Exporting Charge Cancellation Messages: If a report is unsigned or cancelled, the AS Software system exports charge cancellation messages to reflect this change automatically.

Exporting Correction Charges: When a corrected report is signed, the AS Software system exports the new charges to update the billing information accordingly.

The HL7 DFT Interface for Outbound Billing Charge Capture
Explore how to streamline the billing process by automatically capturing and forwarding details from the ultrasound study.

View Details

Without the DFT interface, several inefficiencies develop in the billing and administrative processes:

Manual Data Entry: Without the DFT interface, staff would need to manually enter charge information into the billing system after each ultrasound procedure. This manual process is prone to errors, leading to potential discrepancies in billing and delays in revenue cycle management.

Delayed Billing: Since charge information would need to be manually entered into the billing system, there may be delays in billing patients or submitting claims to insurance providers. This delay can result in delayed payment and negatively impact the cash flow of the healthcare organization.

Increased Administrative Burden: Healthcare staff would need to spend additional time reconciling data between the ultrasound reporting system and the billing system. This increased administrative burden reduces productivity and may divert resources away from patient care activities.

Billing Errors: Manual data entry increases the risk of billing errors, such as incorrect charge amounts or missing billing codes. These errors can lead to claim denials, payment delays, and potential compliance issues.

Lack of Real-Time Information: Without automated data exchange through the DFT interface, there may be a lack of real-time visibility into the financial aspects of ultrasound procedures. This hampers decision-making processes and the ability to monitor revenue performance effectively.

Incomplete Documentation: In the absence of automated charge export functionality, there may be instances where charge information is not properly documented or missed altogether. This incomplete documentation can result in revenue leakage and billing inaccuracies.

Manual work and disconnected technologies create inefficiencies, errors, and delays in billing and administrative processes, particularly in ultrasound reporting within healthcare settings.

However, implementing the DFT interface streamlines these processes, enhances accuracy, and boosts overall operational efficiency.

By facilitating efficient communication between systems, improving billing accuracy, and streamlining workflow processes, the DFT interface significantly optimizes the financial management of your healthcare operations.

To learn more about DFT interfaces and how they can create billing efficiencies in your organization, schedule a demo.


Caleb King

Caleb King, Director of Customer Engagement

With over a decade of experience building results-driven relationships, Caleb has a deep understanding of meeting customer needs with efficiency. At AS Software, Caleb coordinates complex healthcare projects, and is passionate about making a positive impact by delivering value with ongoing expertise and optimization. 

The way patients are diagnosed, treated, and cared for is undergoing significant transformation in maternal-fetal medicine (MFM). Artificial intelligence (AI) is emerging as a powerful tool in enhancing diagnostic accuracy, optimizing workflows, and fostering equitable access to healthcare. But there are many profound implications of AI in MFM, which were discussed in a recent panel, “Exploring the Expanding Role of Artificial Intelligence in Maternal-Fetal Medicine” that featured clinicians and experts at the SMFM 2024 Pregnancy Meeting.

The speakers and panelists included: Jeanne Sottile, RDMS RVT CSPO of AS Software; University of Kentucky College of Medicine’s Maternal Fetal Medicine Fellow Physician, Dr. Neil Bharat Patel; CEO of Ultrasound AI, Robert Bunn; Chief Medical Offer and Professor, Dr. Garrett K.Lam, of Intermountain High Risk Pregnancy Center and University of Kentucky; and Martin Mienkina, PhD, Advanced Technology and Innovation Manager at GE Healthcare.

Here is a breakdown into the key insights that emerged of the multifaceted applications of AI, challenges, opportunities, and its potential to reshape patient outcomes.

The establishment of trust in algorithmic insights is central to the integration of AI into MFM.

Rigorous testing methodologies are paramount to validate AI algorithms, ensuring consistency and persistence of results across diverse patient populations and clinical settings.

Transparency and trust will build the foundation of successful adoption and utilization of new AI technologies, ensuring that AI-driven innovations enhance, rather than compromise, patient care.

A compelling aspect of AI in MFM is its capacity to democratize healthcare access.

By mitigating skill barriers through technologies like AI-assisted ultrasound, AI enables less specialized practitioners to perform basic examinations with greater accuracy. This innovation is especially promising for underserved rural and international communities, where access to specialized care can be limited.

AI algorithms, like those that can predict preterm birth, represent a large shift in diagnostic approaches.

These algorithms transcend conventional anatomical markers like the cervix, leveraging digital signals within ultrasound images to discern subtle patterns and correlations. AI can ‘see’ beyond human perception and analyze a spectrum of anatomical areas (like the ovaries, uterus, and placenta).

By processing vast amounts of data in real time, AI algorithms can detect early indicators of complications, leading to timelier interventions and improved patient outcomes.

Ensuring equitable access to AI-driven healthcare solutions is a critical consideration in the adoption of AI in MFM.

Some collaborative efforts underway include the development of solutions tailored for low-resource settings, supported by organizations like the Gates Foundation. By leveraging AI to bridge healthcare gaps globally, these initiatives aim to advance maternal and fetal health outcomes worldwide.

The equitable dissemination of AI solutions in MFM extends beyond merely providing access to technology. It involves tailoring solutions to suit the needs of diverse populations and addressing systemic barriers to healthcare access. By prioritizing inclusivity and accessibility, AI-driven innovations have the potential to revolutionize maternal and fetal healthcare delivery.

From enhancing diagnostic precision to optimizing workflows and fostering equitable access to healthcare, AI promises to transform patient care in MFM. However, realizing this potential requires collaborative efforts, rigorous testing methodologies, and regulatory oversight to ensure the reliability, validity, and accessibility of AI technologies.

As the healthcare industry navigates the intersection of AI and healthcare, the future of maternal-fetal medicine holds promise for improved patient outcomes and enhanced quality of care.


Learn more about AS Software’s approach to AI: AI in Ultrasound Reporting: Driving Efficiency and Automation

Combining the precision of enterprise ultrasound with the agility of cloud technology, these solutions are revolutionizing patient care, operational efficiency, and clinical collaboration.

Here are 5 key ways cloud-based enterprise ultrasound imaging is transforming workflows:

Cloud solutions offer unparalleled scalability and flexibility, enabling healthcare organizations of any size to seamlessly expand their imaging capabilities to meet growing demands:

  • Accommodating increasing patient volume
  • Integrating new imaging modalities
  • Expanding across multiple facilities

This empowers enterprises to scale their imaging infrastructure effortlessly, without the limitations of traditional on-premises systems.

Healthcare professionals gain unprecedented accessibility to critical imaging data from any location, at any time.

From reviewing ultrasound images to accessing historical patient data, the technology promotes mobility and flexibility, empowering clinicians to make informed decisions and deliver timely care with confidence.

Cloud-based enterprise ultrasound imaging fosters seamless collaboration and communication among healthcare professionals, facilitating interdisciplinary teamwork and informed decision-making.

From real-time image sharing to secure messaging and collaborative reporting, cloud-based technology enables clinicians to work together efficiently, leading to faster diagnosis, personalized treatment plans, and ultimately, better patient outcomes.

Healthcare enterprises can realize significant cost savings and operational efficiencies. It eliminates the need for upfront investments in hardware infrastructure and maintenance, offering a cost-effective model that aligns with organizational budgets and financial objectives.

Cloud technology also enables rapid deployment of innovative solutions, such as AI-driven image analysis and advanced analytics, driving continuous improvement and innovation in enterprise imaging practices.

Data security and compliance are paramount in healthcare, and cloud-based enterprise ultrasound imaging solutions prioritize robust security measures to safeguard sensitive patient information.

The technology ensures compliance with regulatory requirements, protecting patient privacy and confidentiality while maintaining data integrity and security.


Cloud-based enterprise ultrasound imaging represents a transformative approach to healthcare delivery, empowering large and small enterprises to optimize imaging workflows, enhance collaboration, and improve patient care outcomes.

By leveraging the combined strength of enterprise ultrasound and cloud technology, healthcare organizations can unlock new opportunities for innovation, efficiency, and excellence in diagnostic imaging.

Learn how AS Software’s cloud-based enterprise ultrasound automation can help your organization revolutionize patient care: Get a Demo

Learn how sonographers and radiologists can go from paper-driven, manual processes to automated efficiency.

For too long, General Ultrasound departments have been stuck in manual, error-prone processes. Working together with your PACS and dictation system, modern ultrasound reporting allows radiology departments to go beyond paper worksheets. In this webinar, sonographers Jeanne and Derek discuss the benefits of leveraging automated reporting to save time, reduce errors, and more — without disrupting workflows.

Watch now to explore:

  • Why now is the right time to explore an enhanced, automated reporting solution for general ultrasound 
  • A quick demonstration of Sonographer and Radiologist workflows in AS Software

Speakers

Derek DellaVecchia

Derek DellaVecchia
RDMS, RDCS, RVT, RMSR

> Learn more about Derek

Jeanne Sotille

Jeanne Sotille
RDMS, RVT, CSPO

> Read more from Jeanne

“You can stay in the workflow that you’re accustomed to. We’re going to take what works, and make it better.”

  • Replace paper-driven reporting with an electronic solution
  • Leverage automation to build reports in seconds
  • Reduce errors and eliminate manual inputs
  • Easily integrate with your PACS and dictation system for greater efficiency

Jenna Perhacs

RDMS

Team Player Winner

“She is always there for her patients. A team player and very caring person.”

“She is kind, a team player and so so so incredibly smart!”

“She’s such an amazing person, there aren’t enough ways to tell her.”

“She has the best personality, she knows exactly how to treat each and every patient with care and compassion. Truly the best!”

Roy Armand

BS, RDMS

Inspiring Leader Winner

“Even though his schedule was very busy, he would take his time to teach everything he could.”

“I will never forget his kindness and generosity.”

“He’s an exemplary leader and a mentor to so many people.”

“He taught me to be a better person. I learned how to pass on skills to my students and younger colleagues from him.”

Hayley Bartkus

MS-HPEd., BSDMS, RDMS

Community Advocate Winner

“She is shaping the next generation of sonographers and patient care.”

“Hayley is a resolute and enthusiastic advocate for marginalized communities, patient access to equitable healthcare, and mental health for both patients and healthcare workers.”

“She embodies the true spirit of giving back, and making a lasting and positive impact on the field of Diagnostic Medical Sonography.”

Congratulations to the 2023 winners!

Artificial Intelligence (AI) has the potential to reshape the ultrasound technology landscape — revolutionizing patient care, enhancing diagnostic accuracy, and transforming the use of ultrasound technology.

“The integration of artificial intelligence technology in ultrasound imaging is expected to make the ultrasound imaging technique smarter and improve the efficiency of the technique to accurately examine the disease. The surging demand for imaging biomarkers and quantitative imaging is significantly driving the demand for AI in ultrasound imaging.” (Precedence Research

Current ultrasound reporting solutions drive value through greater efficiency, automation, and interoperability. These same benefits are also major catalysts of emerging AI value, which will continue to drive clinical, financial, and operational benefits for healthcare organizations.

How AI can complement our existing workflow solution

AS Software is the workflow conduit connecting ultrasound machines, EHRs, and PACS/VNA, and we’re uniquely positioned to incorporate AI into this existing solution ecosystem deployed across our customer base — which currently manages over 10 million studies annually.

We have a long track record of prioritizing interoperability with industry-leading technology providers; many of which are now incorporating AI into their offerings. AS Software will be positioned to both interoperate with existing AI and leverage embedded AI from various partners in the market.

We’re excited to have customers and partners working with us to explore options to best meet these needs, and see many opportunities for AI to enhance research capabilities, ensure diagnostic accuracy, and further automate features to reduce documentation time.

Opportunities for AI in Ultrasound Reporting

There are many opportunities for AI to positively impact ultrasound and ultrasound workflows, and help automate reporting, image analysis, and task administration — giving time back to sonographers and physicians.  Some of the near-term opportunities include:

Enhancing Clinical Research Tools

Today, researchers are limited to searching text data contained in historical reports. Adding a search dimension that includes information contained in the associated historical studies and images opens many new and interesting possibilities for exploration.

Maintaining Certifications

The ability to search DICOM images by their contents can enable the creation of new features that aid in preparing submissions to maintain AIUM certifications.

Capturing Charges

By comparing the contents of images captured in a study to the procedures within an order, AI can ensure that procedures listed within an ultrasound report for billing purposes reflect the work completed. This allows organizations to capture additional charges that would otherwise be missed without AI assistance.

Improving Quality Assurance

Detecting image contents can be used to improve the efficiency of individuals performing quality assurance and quality control functions.

Approaches to AI growth and development in ultrasound

As demand for ultrasound technology innovation grows, it’s exciting to see emerging niche AI vendors like BIOTICSai and BrightHeart, and established partners like Microsoft Azure, leveraging AI to accelerate innovation throughout the industry.

There are three paths for companies like AS Software to consider when adding AI into existing solutions:

  • Native AI: Developing AI technologies in-house.
  • Acquired AI: Acquiring existing AI solutions.
  • Embedded AI: Integrating AI tools into existing workflows and software solutions.

While native AI development isn’t our current focus, we are actively exploring embedded and acquisition opportunities. 

With an established history of embedding and complimenting electronic health records (EHR), picture archiving and communication systems (PACS), and other ultrasound and healthcare technology, AS Software is well-positioned to connect and incorporate AI tools within streamlined ultrasound workflows. 

If you have any questions about the future of AI at AS Software or are interested in partnering with us to explore new ways AI can reshape ultrasound reporting, please contact us.


David Lintz

David Lintz is the CEO of AS Software and brings over 25 years of healthcare and technology leadership to the organization. His commitment to building strategies centered on providing value to customers, along with his visionary approach to innovation, is instrumental in propelling AS Software to offer transformative ultrasound reporting, automation, and image management solutions. Under David’s leadership, AS Software continues to expand and enhance its capabilities to better serve the healthcare market, driving efficiency for providers nationwide.

October is Medical Ultrasound Awareness Month, a time to raise awareness for the role of diagnostic sonography in healthcare and help inform and educate on the growing usage and importance of ultrasound as a vital medical tool. 

“MUAM is a joint effort of the American Institute of Ultrasound in Medicine (AIUM), American Society of Echocardiography (ASE), Cardiovascular Credentialing International (CCI), Society of Diagnostic Medical Sonography (SDMS), and Society for Vascular Ultrasound (SVU).” (ARDMS

We’ve gathered some resources and content to help celebrate MUAM and the sonographers who are vital to the world of ultrasound.  

Industry Resources, Information, and Ways to Celebrate MUAM

  • The SDMS’ ​202​​​3 MUAM theme ​is “​Images from the Inside Out” Learn More 
  • How can sonographers and future sonographers participate in MUAM? Learn More 
  • The ARDMS photo submission campaign Learn More 
  • SVU vascular ultrasound awareness and content (check out the spooky wallpaper!)  Learn More 
  • ASE cardiovascular ultrasound education and awareness Learn More 

There are so many amazing social pictures, infographics, and social content to share from the links above. Make sure to tag us on LinkedIn and Instagram so we can like and share your posts! 

More Resources for Sonographers

  • Watch the Wellness Forum to learn how to help prevent and alleviate physical and mental pain. 

MUAM provides an opportunity to celebrate ultrasound technology and professionals, and the extraordinary impact they make on modern medicine. Their roles are physically and mentally demanding, working through extended hours and tight timelines. So let’s each make sure to give ultrasound professionals a big THANK YOU for everything they do!