The Shaping Healthcare Podcast

CitiusTech
  • 5.0 (2)
  • Technology
  • Updated Weekly

Welcome to Shaping Healthcare, a podcast by CitiusTech. Some of the great minds in the world are constantly striving to solve the healthcare industry's greatest challenges with technology, creativity, and agility. With every episode of The Shaping Healthcare Podcast, we will take you deeper into the world of healthcare and life sciences and give you a perspective into what it takes to build a human-first, technologically enabled healthcare world.

  1. 6d ago

    From CRM to AI: What 30 years of pharma technology change taught me

    From CRM and cloud computing to omnichannel and AI, the pharmaceutical industry has navigated multiple waves of technology change over the last three decades. While the technologies have evolved, the factors that determine successful transformation have remained remarkably consistent. In this episode, Matthias Reith, Vice President, Patient and HCP Engagement at Citius Healthcare Consulting, reflects on lessons learned across major technology shifts and explains why organizations that focus on business outcomes, leadership, change management, and data quality consistently realize greater value from their investments. He also explores how these lessons apply to AI and why organizations should view AI as a business transformation, not just a technology implementation. Key takeaways: Start with the business problem, not the technology. Organizations that focus on outcomes consistently see greater value from transformation efforts.Strong leadership matters long after kickoff. Consistent involvement helps drive alignment, adoption, and results.Technology alone doesn't create change. User buy-in and effective change management are often the difference between adoption and underutilization.Data quality and governance are foundational. Trusted data is essential to driving adoption and realizing value from technology investments.The lessons from CRM, analytics, and omnichannel transformations still apply to AI today. Tune in now Discover why the fundamentals that drove successful transformations in the past remain just as relevant in the age of AI.

    From CRM to AI: What 30 years of pharma technology change taught me

  2. Sep 10

    Governance first, then scale: Securing Agentic AI in Healthcare

    Healthcare organizations are moving quickly to adopt AI across clinical, operational, and administrative functions. As AI agents gain greater autonomy and interact with sensitive data, organizations must rethink how they approach security, governance, and accountability. In this episode, Ashutosh Tiwari, Vice President of Cybersecurity at CitiusTech, discusses the challenges of securing agentic AI in healthcare. He shares why traditional security approaches fall short, the importance of treating AI agents as identities that can be monitored and governed, and how organizations can build the right controls before scaling AI initiatives. Key takeaways: Why agentic AI introduces new cybersecurity risks in healthcareThe role of governance, monitoring, and traceability in securing AI systemsHow a three-layer security framework helps organizations adopt AI responsiblyWhy governance should be established before AI initiatives scale

    Governance first, then scale: Securing Agentic AI in Healthcare

  3. May 13

    Building trust in Healthcare data: From pipelines to patient care

    Healthcare organizations depend on data for clinical, regulatory, and operational decisions. When that data cannot be trusted, it directly affects outcomes, compliance, and confidence across teams. In this episode of the Shaping Healthcare Podcast, Gaurav Shrimal, AVP of Quality and Validation at CitiusTech, and Anand Rao, VP of Marketing at Datagaps explores why data trust is now a critical focus for healthcare leaders. The discussion focuses on what it takes to build trust across the data lifecycle, the challenges created by fragmented systems and constant change, and how continuous validation, automation, and modern data practices help organizations move toward reliable, decisionready data. Key takeaways What does trusted data mean beyond accuracy in a healthcare context?Why do fragmented systems and rapid change make data trust difficult to sustain?How does continuous validation improve confidence in healthcare data?How do automation and AI support scalable data trust?Why is trusted data critical for better decisions and patient outcomes?

    Building trust in Healthcare data: From pipelines to patient care

  4. May 12

    Healthcare Insight Agents: Turning analytics bottlenecks into confident decisions

    Healthcare teams generate massive volumes of data across claims, clinical records, quality metrics, and operational systems, but decision‑makers often struggle to turn that data into timely action. In this episode, Ajay Srivastava, Principal Architect at CitiusTech, explains why traditional analytics approaches can’t keep up with the pace of healthcare decision‑making and how AI‑powered Healthcare Insight Agents are helping organizations unlock insights from both structured and unstructured data, interact using natural language, and move from questions to decisions in minutes instead of weeks. Key takeaways: Why healthcare insights often arrive too late to drive actionHow AI insight agents unlock value from unstructured dataThe role of natural‑language interaction in faster decision‑makingWhere Healthcare Insight Agents add value beyond traditional BI platforms

    Healthcare Insight Agents: Turning analytics bottlenecks into confident decisions

  5. Apr 17

    Beyond data migration: Preparing Healthcare organizations for AI at scale

    Successful healthcare data migration depends on governance, data quality, and clinical validation, not just technical execution. In this episode of The Shaping Healthcare Podcast, John Squeo, SVP and Head of Providers at CitiusTech, and Tyler Smith, CEO of Health Data Movers explain how unclear scope and workflow misalignment lead to disruption, and how trusted data foundations enable focused AI use across clinical, revenue cycle, and supply chain functions. Key insights you will hear: What causes healthcare data migrations to fail despite modern platforms?How do scope clarity and data quality affect clinical workflows post‑migration?Why are governance, metadata, and provenance essential for data trust?When is healthcare data ready to support AI use cases?

    Beyond data migration: Preparing Healthcare organizations for AI at scale

  6. Mar 23

    Why Healthcare data ingestion is so hard: What can we do about it

    Healthcare organizations continue to struggle with ingesting clinical and claims data and using it at scale. In this episode, Ravi Gupta, SVP at CitiusTech, explains why healthcare data ingestion is so hard, from inconsistent implementations and loss of clinical context to pipelines that become difficult to maintain as systems evolve. Ravi shares practical insights into what makes ingestion complex in real-world healthcare environments and how organizations can rethink their approach to build more reliable and scalable data foundations. Key takeaways: Why healthcare data is standardized in theory but inconsistent in practiceWhat makes healthcare data ingestion difficult to scaleWhy trust and context matter more than just getting data inThe importance of validating and normalizing data earlyHow configurable ingestion approaches support long‑term scalability

    Why Healthcare data ingestion is so hard: What can we do about it

  7. Mar 9

    Engineering Trustworthy AI in Healthcare with CitiusTech Knewron

    Healthcare is at a breaking point, not because of a lack of algorithms or powerful models, but because AI has too often ignored the complexity and reality of healthcare workflows. Fragmented data, rising regulatory pressure, workforce shortages, and solutions that fail to scale have left the industry searching for a more grounded approach. In this episode of the Shaping Healthcare podcast, Ramki, CTO at CitiusTech, unpacks why traditional AI efforts fall short and explores how CitiusTech’s Knewron is redefining responsible, contextual, and operational AI for the industry. Key takeaways:  Why most healthcare AI efforts stall despite strong underlying models.What’s pushing healthcare into a critical AI inflection point.How Knewron embeds healthcare’s rules, standards, and oversight in ways generic tools can’t.What agentic AI can safely execute inside regulated workflows and where humans must stay in control.How organizations are seeing impact across Engineering, Payer, Provider, and MedTech workflows.

    Engineering Trustworthy AI in Healthcare with CitiusTech Knewron

  8. Feb 16

    From policy to practice: The impact of CMS regulations on Healthcare Providers

    CMS regulations are transforming how healthcare providers deliver, document, and measure care. In this episode of the Shaping Healthcare Podcast, Sheetal Sawardekar, AVP at CitiusTech Healthcare Consulting, breaks down the shift toward value-based care, the growing impact of MIPS, and the regulatory forces shaping the future of compliance and care delivery. Key takeaways: How CMS regulations are driving the transition from fee-for-service to value-based care.Why MIPS is one of the most influential payment programs for physicians today.How “quality of care” is measured through clinical quality measures (CQMs).The growing documentation and reporting burden on clinicians.The role of generative AI in simplifying quality reporting and CMS submissions.What healthcare organizations should prepare for as interoperability and digital mandates accelerate.Tune in now to learn how providers can stay ahead in a rapidly evolving, value-driven healthcare landscape.

    From policy to practice: The impact of CMS regulations on Healthcare Providers
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About

Welcome to Shaping Healthcare, a podcast by CitiusTech. Some of the great minds in the world are constantly striving to solve the healthcare industry's greatest challenges with technology, creativity, and agility. With every episode of The Shaping Healthcare Podcast, we will take you deeper into the world of healthcare and life sciences and give you a perspective into what it takes to build a human-first, technologically enabled healthcare world.

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