The transformative potential of artificial intelligence (AI) in healthcare is rapidly evolving, driven by the need for more efficient, accurate, and patient-centric solutions. AI is no longer just a futuristic concept, it is transforming real-world applications and helping healthcare providers navigate complex challenges.
In today’s healthcare environment, organizations are looking to streamline processes, enhance compliance, and improve patient outcomes. AI is transforming key areas including documentation, revenue cycle management (RCM), and patient data compliance and security.
With Engineering to the Power of AI, Ascendion and Nitor Infotech are at the forefront of this transformation.
Enhancing nurse productivity and patient outcomes
Healthcare documentation is time-consuming and prone to manual errors, especially in home healthcare where nurses manage patient data, assess medical conditions, and develop care plans. This typically involves manually completing the Outcome and Assessment Information Set (OASIS), , which can take hours for a single patient.
We leverage AI and machine learning (ML)-driven systems to automate documentation in real-time, significantly reducing the administrative burden on nurses. This allows them to focus more on delivering quality care during home visits. With AI processing the information effectively and accurately in real-time at a patient’s home instantly, nurses’ productivity increases up to threefold, allowing them to manage more patients with fewer errors. Moreover, AI ensures that patient data is accurately captured and continuously monitored for better care outcomes. AI-enabled evaluation caters to real-time personalized home-based care reports using OASIS assessment done at the completion of home-based care.
Ensuring patient data compliance and security
One of the core challenges in healthcare is ensuring data privacy and security while providing comprehensive care. In compliance with regulations like the Health Insurance Portability and Accountability Act (HIPAA), AI-driven systems help healthcare organizations manage patient data more securely.
We implement Role Based Access Control and coupled with EngineeringAI, we implement, data visibility verification, and audit log testing. Role-based access and data visibility guarantee healthcare professionals only access the information relevant to their roles. These AI-driven compliance checks keep patient data secure while still granting authorized personnel the access they need.
By implementing automated audits of user activities, healthcare organizations can detect and report any unauthorized access to sensitive data, maintaining data privacy and integrity. This can be done in close to real time or even in a batch format.
Optimizing RCM with AI
A similar transformative impact is seen in RCM. Historically, RCM has been riddled with inefficiencies, from eligibility verification to claims submission. Prior authorization processes can take days, creating bottlenecks and delaying patient care. Denied claims due to incomplete or inaccurate documentation can significantly slow down payment cycles and increase operational costs.
Our AI solutions enable healthcare providers to automate these processes, significantly reducing the time required for prior authorizations and improving the accuracy of claims submissions.
By integrating AI into RCM workflows, organizations can:
- Ensure cleaner claims with fewer errors
- Proactively manage denied claims
- Focus on high-value claims to maximize revenue.
The ability to store and analyze historical prior authorization data using AI allows organizations to predict payer behavior and reduce the frequency of denials. This directly translates into faster revenue cycles, minimized manual intervention, and improved cash flow for healthcare organizations.
Transforming healthcare operations with EngineeringAI
Using AI in healthcare is more than an operational improvement—it’s a transformative approach that elevates healthcare quality. With EngineeringAI, we help healthcare organizations achieve enhanced productivity, strengthened data compliance and security, and optimized RCM.
With these advancements, healthcare organizations are in a stronger position to transform their operations, leading to results such as better patient outcomes, improved financial health, and a more sustainable healthcare ecosystem.
In our experience prudent use of AI automates processes through data extraction and generation, thus increasing the overall turnaround times and justifying the ROI.
