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Category Archives: Data Conversion

Newsday: Practical AI, Data Governance, and Tech modernization with Vik Patel and Sarah Richardson

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Vik Patel, COO at TIDO joins Sarah on This Week Health Newsday. Vik shares his journey from hospital IT to founding TIDO, discussing the nuanced challenges of integrating AI and the role of strong governance frameworks in avoiding unintended biases. Together, we tackle questions of strategic prioritization, from the intricacies of data migration and legacy archiving to the pressing need for reliable, responsive tech solutions in high-stakes clinical environments. Through the lens of real-world applications, the episode raises important considerations about balancing innovation with practicality in healthcare IT.

Key Points:

  • 04:09 The Importance of AI Governance in Healthcare
  • 07:27 Challenges and Solutions in Healthcare IT
  • 20:00 Practical AI Applications and Integration
  • 30:49 Conclusion and Final Thoughts

News articles:

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Driving Operational Excellence in Health Systems: Strategic Alignment of AI, Data, and Resources

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This Week in Health Tech Podcast with guest James Wellman

In today’s fast-evolving healthcare landscape, operational excellence is no longer a luxury—it’s a necessity. Health systems are challenged to balance the clinical demands of patient care with the operational needs of efficiency, cost-effectiveness, and data management. In the latest  episode of This Week in Health Tech, Vik Patel, COO, Tido Inc. welcomes James Wellman, VP-CIO at Nathan Littauer Hospital and Nursing Home. They discuss topic of achieving  operational excellence using the right combination of data, integration, AI, and resources. 

Healthcare organizations can drive operational efficiency through strategic use of data and AI tools by:

  1. Establishing a strong data governance framework with clear ownership, standardized processes, and engaging subject matter experts across the organization.
  2. Transitioning to a robust, cloud-based data architecture that ensures data portability, interoperability, and security.
  3. Carefully evaluating and adopting AI/RPA solutions, starting with automating repetitive processes and augmenting staffing needs, while remaining cautious about potential biases and limitations of AI models.
  4. Aligning technology strategy with overall organizational goals, using data-driven decision making for investments and service offerings.
  5. Prioritizing education and communication across the organization to get buy-in and ensure effective adoption of new data and technology initiatives.

The Central Role of Data in Modern Healthcare

Healthcare organizations generate enormous amounts of data daily, from patient records to operational performance metrics. But without the ability to effectively manage and interpret this data, much of its potential remains untapped. The podcast episode emphasized how data is the foundation of innovation in healthcare, enabling organizations to make informed decisions, predict patient outcomes, and optimize workflows.

One of the critical points raised is the challenge of fragmented data. Often, healthcare systems struggle with data spread across multiple platforms and departments, making it difficult to get a complete view of their operations or patients. This is where Tido’s integration solutions and AI-driven MIDR (Managed Integration Detection and Response) tools come into play, as they are specifically designed to break down data silos and streamline information flow across systems.

Navigating Ambulatory EMR Data Conversion: A Step-by-Step Guide

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Physician EMR

Introduction:

Transitioning to a new Ambulatory Electronic Medical Records (EMR) system can be a complex yet essential process for healthcare providers looking to enhance efficiency, streamline workflows, and improve patient care. Ambulatory EMR data conversion requires careful planning and execution to ensure a seamless transition without compromising patient care. In this blog post, we’ll guide you through the crucial steps of this conversion process.

Step 1: Comprehensive Planning and Assessment

Before diving into the conversion process, create a detailed plan that outlines the scope, objectives, and timelines. Engage key stakeholders, including clinicians, IT personnel, and administrators, to gather insights and ensure a comprehensive understanding of the requirements. Identify the specific requirements of your healthcare organization, considering factors such as data volume, system compatibility, and workflow preferences. Identify potential challenges and develop contingency plans.

Step 2: Data Inventory

Take stock of your existing data. Identify the types of information stored in your current EMR system, including patient demographics, medical history, prescriptions, and any customized data fields. This inventory will inform the mapping and migration process in later steps.

Step 3: System / Vendor Selection

Choose a new ambulatory EMR system that aligns with your organization’s needs and goals. Consider factors such as user interface, scalability, interoperability, and vendor support. Ensure that the selected system complies with industry standards and regulations.

Step 4: Data Mapping

Create a detailed mapping of data elements from your existing EMR system to the new one. This involves defining how data will be transferred and ensuring that equivalent data fields exist in the new system. Pay attention to any variations in coding systems, data formats, or terminology.

Step 5: Data Extraction

Use specialized tools to extract data from your current EMR system. Ensure that the extraction process maintains data integrity and security. This step involves exporting patient records, clinical notes, lab results, and any other relevant information in a structured format.

Step 6: Data Transformation

Prepare the extracted data for migration by transforming it into a format compatible with the new EMR system. Address any inconsistencies, duplicate records, or discrepancies in data structure. This transformation ensures a smooth and accurate transition of information.

Step 7: Data Migration

Execute the actual data migration process. Depending on the size of your organization and the complexity of your data, this may be done in phases or as a complete migration. Monitor the process closely to identify and address any issues promptly.

Step 8: Testing

Conduct thorough testing of the new EMR system to ensure that data has been accurately and completely transferred. Test functionality, data retrieval, and interoperability with other systems. Engage end-users in the testing process to gather feedback and address any concerns.

Step 9: Training

Provide comprehensive training to staff members on the new ambulatory EMR system. Ensure that users are familiar with the system’s features, functionalities, and best practices. This step is crucial for a successful transition and optimal utilization of the new system.

Step 10: Go-Live and Post-Implementation Support

Implement the new ambulatory EMR system in a controlled manner. Monitor its performance closely during the initial days and weeks. Offer ongoing support to users, addressing any challenges that may arise. Gather feedback and make necessary adjustments to optimize system usage.

Conclusion:

Ambulatory EMR data conversion is a multifaceted process that requires careful planning, meticulous execution, and ongoing support. By following these steps, healthcare organizations can streamline the transition to a new EMR system, ultimately enhancing patient care and operational efficiency.

For over 15 years Tido Inc. has been partnering with health systems and physician practices for data conversions. If you have any questions or need assistance with your health system’s data conversion, contact us today. We are here to support you in navigating the challenges of EMR migration and ensuring a smooth transition for your organization.