With value-based patient care witnessing rapid adoption, the lack of connectivity between departments has become one of the most pressing concerns for hospitals. A large majority of hospitals continue to rely on legacy interdepartmental communication that involves sifting through large volumes of data to extract desired information. Such siloed systems cost- and time-intensive, inefficient, and unproductive. In this scenario, healthcare interoperability can be a game-changer. A collaborative environment with healthcare information managers (HIM), physicians, auditors, coders, clinical documentation improvement (CDI) teams, and other stakeholders on a single platform can play a key role in improving transparency in the system.
Accelerating Collaboration with Intelligent Data
The objective of an efficient collaborative platform is to create a single source of truth that provides complete visibility into patient data. Having said that, the volume of data that requires processing poses an overwhelming task. To overcome this, hospitals need to employ intelligent data technology that allows information to be extracted and updated on command. And artificial intelligence (AI) and natural language processing (NLP) can play a beneficial role in optimizing collecting and sorting data, medical coding, analysis, and information processing.
For instance, physicians can use voice-based NLP to efficiently transcribe notes, the same platform can use text-based NLP to extract patient data relevant for coding. Other teams can then view and use this information in near-real-time.
By collecting and organizing data from various disparate sources an AI-powered platform can facilitate real-time accurate transcription and computer-assisted coding (CAC). As a result, departments that were previously subject to data siloes can work in tandem. The CDI team can work alongside HIM coding professionals to identify documentation inefficiencies and deliver coding precision that accurately reflects the severity of illness, risk of mortality, and so on. A single platform allows the two teams to ensure that the information can be correlated to prevent issues stemming from data disparity and duplicity.
The AI-Driven Future
Today, AI is an indispensable tool in shaping robust mid-revenue cycle management strategies by improving the accuracy and integrity of clinical documentation. Medical coding has seen a jump in accuracy and speed. A Cleveland Clinic study found that AI-powered CAC improved its coder productivity by 20%.
Overall, AI-driven technologies have brought about greater transparency and simplification of health information management (HIM) by uniting key mid-RCM functions on a single, cloud-based platform. By bringing together CDI, coding, compliance monitoring, and quality management intelligent solutions are helping healthcare institutions break legacy administrative silos.
AI-assisted codes can also be traced for future references and audits. This will result in a seamless workflow with a considerable drop in the possibility of errors.
Collaboration and Quality
With AI-based unified HIM platforms, coders do not need to shuffle between different information systems to review and code documents. The primary areas that AI caters to are accurate documentation of every aspect of patient care. Optimized billing processes, revenue streams, and treatment will culminate in an improved healthcare ecosystem. With regulation changes, AI will further enable processes to modify with minimal latency.
ezDI’s Single Platform approach helps hospitals and healthcare systems tackle the issues arising from the lack of collaboration. Our AI-powered platform allows various departments to work in unison. For instance, features like electronic query mechanism and tracking provide coders with a real-time view of the CDI team’s query to physicians and the physician’s responses thereof.
As the only born in the cloud, AI-based, fully integrated platform, ezDI has helped hospitals overcome data siloes with a 360-degree view of the patient. Take the instance of Auburn Community Hospital (ACH) in Syracuse, New York. A lack of visibility and an inefficient coding framework resulted in the non-profit care facility facing high discharged not finally coded (DNFC) of 7 days and a low case mix index (CMI) of 1.2024. With the help of ezDI’s AI-enabled unified intuitive platform, the hospital witnessed a 40% increase in coder productivity. As a result, the hospital’s CMI increased by 4.59% alongside a 50% decrease in DNFC days.
For healthcare providers, a collaborative approach strengthens the operational and financial workflow in a value-based care model. The collaboration of AI, ML, NLP, automation, and smart analytics will not only improve healthcare and payer experience but will also create and optimize revenue streams. However, humans remain in the center of this pursuit of the technology-driven future, and only a seamless synergy of humans and machines will ensure the greatest yield for healthcare.
To learn more about ezDI’s AI-based mid-revenue cycle management solutions visit www.ezDI.com and see the live product demo of our Clinical Documentation, Coding, Compliance/Auditing, Quality Measures, Encoder, and Enterprise Analytics request a live demo.