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Month: February 2025

  • Cornell Files: Paper to Electronic

    Cornell Files: Paper to Electronic

    The transition from paper to electronic formats significantly transformed work capabilities within the Telecom Expense Management (TEM) industry. For decades, large corporations like Liberty Mutual and Sherwin-Williams received dozens of bankers’ boxes filled with their monthly corporate telecom invoices. These documents required manual review and auditing prior to payment, often leading to unchecked errors and overcharges amounting to thousands of dollars not to mention the time required for processing, late fees and interest.

    Digital transformation in this came by way of formats such as CDs, DVDs, Web Portals and Electronic Data Interchange (EDI). These formats eliminated the need for physical storage ultimately reducing shipping costs. Additionally environmental sustainability improved by reducing paper usage. It introduced and enhanced data and data integrity. Unlike paper invoices that could be misplaced, destroyed or unnoticeably stolen, sensitive information—like user detail call records and telecom inventory reports — were able to be securely transmitted and stored digitally. This minimized risks of data breaches and improved compliance with security protocols. The concept of permissions was also introduced to protect data access.

    The transformation showcased three key opportunity modes: the future of work, new business models, and management philosophy. The manual invoice processing to electronic handling was the foundation of future of work, elimination of the need for Optical Character Recognition (OCR, data could be directly imported into databases like Excel or SQL. New business models emerged, enabling Business Process Outsourcing (BPO) and Managed Services tailored to electronic data management (EDM). Additionally, management philosophy shifted from physical data handling agreements to robust cybersecurity protocols, emphasizing data governance, storage, and destruction policies.

    This evolution not only streamlined operational efficiency but also redefined how businesses approach data management, security, and process optimization in the digital age.

    This was my beginning in Implementation – I’ve seen a lot, a lot, I’ve enjoyed so much of this journey and cannot wait to help you place the next piece of the puzzle in your Digital Transformation.

  • Cornell Files: AI Agents in Healthcare

    Cornell Files: AI Agents in Healthcare

    How Advancements and New Technologies Are Changing the Way We Do Things

    Case in Point: Healthcare

    AI agents in healthcare represent a significant advance in digital technology that is transforming patient care delivery and medical decision-making. These systems are revolutionizing healthcare by enhancing diagnostic accuracy, preventing medical errors, and creating more personalized patient experiences.

    As medical assistants, AI agents have fundamentally changed healthcare delivery by analyzing complex datasets including test results, medical histories, and symptoms to suggest diagnoses and treatments. This represents a shift from traditional manual review processes to data-driven decision support. In radiology, for example, AI agents detect anomalies in medical imaging with high precision, supporting faster and more accurate diagnoses. Particularly significant is their role in preventing prescription errors by identifying potential drug interactions and patient allergies – an advancement that directly addresses the common problem of patients being prescribed medications despite known allergies and contraindications.

    This advancement was enabled by several core technological developments:

    • Enhanced computational power to process vast medical datasets
    • Advanced machine learning algorithms capable of pattern recognition
    • Improved sensing technologies for medical imaging and monitoring
    • Natural language processing for analyzing medical literature and patient records

    Looking forward, AI agents show promise in personalizing healthcare delivery by matching patients with compatible healthcare providers based on various factors including patient ratings and treatment approaches. However, it’s crucial to implement these systems thoughtfully to avoid the pitfalls seen in other automated customer service systems, maintaining the human element in patient care while leveraging AI’s analytical capabilities.

    Reference: Forbes. (n.d.). How AI agents are transforming healthcare with efficiency and security. Forbes. 

    https://www.forbes.com/sites/davidchou/2025/01/28/how-ai-agents-are-transforming-healthcare-with-efficiency-and-security