Driving Data Efficiencies in Healthcare - with RJ Kedziora of Estenda Solutions
Oct 3, 2024
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RJ Kedziora, Co-founder and CTO of Estenda Solutions, dives into transformative AI applications in healthcare. He discusses how technologies like natural language processing are reshaping data access and efficiency. The conversation highlights the importance of digital therapeutics and the challenges of outdated document processes. RJ also explores the shift towards value-based care, emphasizing a holistic approach to patient management. With decades of experience, he offers insights into the future of healthcare data and its incredible potential.
The integration of AI facilitates enhanced data efficiency by helping healthcare professionals quickly process vast quantities of data from medical devices.
Digital therapeutics, validated through rigorous testing, provide patients with ongoing support and address the shortage of healthcare professionals in mental health services.
Deep dives
Leveraging AI for Data Efficiency
AI technologies are increasingly recognized for their potential to enhance data efficiency within healthcare systems. The concept of augmented intelligence emphasizes the importance of using AI to help understand and interpret the vast quantities of data generated by medical devices, such as continuous glucose monitors and wearable health trackers like Apple watches. With patients constantly monitored, the challenge lies in knowing how to process and utilize this data effectively. Implementing AI solutions can simplify data comprehension for healthcare professionals, ensuring they can quickly respond to patient needs and improving overall care delivery.
The Role of Digital Therapeutics
Digital therapeutics represent a significant advancement in the healthcare technology landscape, differing from conventional health apps in their clinical validation. These therapeutics, akin to prescribed medications, undergo rigorous testing to demonstrate their effectiveness in treating conditions like anxiety and obesity. By providing patients with tools that can be used daily, these digital solutions complement traditional healthcare practices and offer continuous support outside limited in-person appointments. This model aims to address the growing demand for mental health services and overall patient engagement amid a shortage of healthcare professionals.
Challenges in Document Processing
The integration of AI into document processing stands out as a critical evolution for healthcare's handling of legacy systems, such as fax machines. Natural language processing technologies enable more efficient extraction and interpretation of information from various document formats, transforming how healthcare providers access critical data. Despite the promise of digitization, organizations must carefully consider which records and data are essential to transition to electronic formats, emphasizing the need for thoughtful project scoping. By adopting a methodical approach, healthcare leaders can ultimately streamline operations and improve data accessibility for better patient outcomes.
Today’s guest is RJ Kedziora, Co-founder, Partner, Chief Operating Officer, and Chief Technology Officer at Estenda Solutions. Estenda is a healthcare and medical custom software development, data analytics, and consulting company with 20 years of experience in digital health. RJ joins us on today’s episode to explore where the industry is seeing use cases for leveraging new AI capabilities to help drive data efficiencies. Once these technologies are commonplace, RJ shares what he thinks the future of data in healthcare spaces is going to look like. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.
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