Nov 20, 2023

Reducing Healthcare Overhead with Efficient Record Organization

Struggling with claims delays, information overload, and rising legal costs? Learn how AI solves records organization and addresses your needs.

In the ever-evolving landscape of healthcare, finding ways to optimize processes and reduce costs has become paramount. Records organization is one critical area that stands to gain the most from AI. While the advent of artificial intelligence (AI) has brought about considerable advancements in various aspects of healthcare, it's potential to rein in the abundance of healthcare data collected from EHRs could vastly improve healthcare and administrative tasks for claims leaders.

 

healthcare-worker-using-electronic-health-records-laptop

Information Overload

One of the primary challenges that efficient record organization aims to address is the prevalent issue of information overload. The exponential growth of medical data has burdened healthcare professionals, leading to challenges in sorting, retrieving, and managing patient records. A study on primary care physicians revealed the extent of this issue. In a survey of 2590 primary care physicians, a staggering 70% reported receiving more information than they could manage. This phenomenon, known as alert fatigue, has alarming consequences. Nearly 30% of participants disclosed that they had missed test results and subsequently delayed patient care due to this information overload.

Inefficient Medical Records Organization Increases Legal Costs

Efficiently managing medical records is increasingly recognized as a pivotal factor in streamlining the claims process within the healthcare sector. The sheer volume of patient data generated in modern healthcare systems can potentially overwhelm the claims process, leading to delays, inefficiencies, and escalated legal costs.

Inefficiencies in record management can hinder the prompt evaluation of claims, lengthen the time it takes to gather crucial evidence, and subsequently delay the resolution of cases. This delay can have cascading effects, as prolonging the claims process not only impacts the healthcare organization's operations but can also increase the legal costs associated with the case.

Furthermore, inadequate record organization and retrieval can significantly contribute to escalating legal costs. When medical records are disorganized, the time and effort required to locate specific information for legal proceedings can be extensive. Legal teams may face challenges in pinpointing relevant details, analyzing the case, and formulating effective arguments, all of which can lead to prolonged litigation and increased legal fees.

The Medplace platform solves records organization using AI and helps claims and risk leaders make informed decisions faster. Ready to see the platform and expedite record organization at your organization? Click here to learn more, or fill out the form below to meet with our team.

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Jerrod Bailey

Jerrod Bailey is the CEO of Medplace, an app built for healthcare, legal, and insurance industries to streamline their case and peer review processes. He holds over 20 years of experience in venture-backed technology companies and specializes in healthcare technology development and human-centered user experience design. Jerrod has helped launch over 100 technology start-ups, including corporate new ventures with American Express, Intel, and other notable names.

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