Lyle McMillin, AVP of Product Management at Hyland Healthcare, shares insights from a career at the intersection of technology and healthcare. He discusses the power of data-driven leadership, and the value of nurturing talent and offers advice for startups. McMillin also explores how AI innovations at Hyland are transforming clinical documentation, medical imaging and operational efficiency across the healthcare landscape.
Your career has spanned various roles in technology and healthcare. What key lessons have shaped your approach to leadership and innovation?
Throughout my career, I’ve learned that effective leadership and innovation are deeply rooted in two key principles. Firstly, utilising data to drive decision-making has been instrumental in navigating complex challenges and making informed choices that propel projects forward. This approach ensures that strategies are grounded in evidence, leading to more reliable and impactful outcomes. Secondly, prioritising the development of team members and allowing their unique skills to shine has consistently led to success. By fostering an environment where individuals can thrive and contribute their best, I’ve seen firsthand how collective talent and diverse perspectives can drive remarkable achievements.
For HealthTech startups or investors beginning their journey, what advice would you give to navigate the evolving healthcare technology landscape?
Working in the healthcare technology landscape is complex but highly rewarding. My first piece of advice to those starting their journey in this field is to focus on solving a problem that is well-defined. Innovation is abundant in HealthTech, but the most successful companies deeply understand a specific challenge and deliver measurable value, not just another feature or product.
I would also encourage startups and investors to prioritise ‘smart’ interoperability. Healthcare organisations operate within intricate ecosystems of systems and processes, and the solutions that gain traction integrate seamlessly with existing platforms like electronic health records (EHRs) or Revenue Cycle Management (RCM). For example, Hyland’s solutions work with various EMR systems, enabling healthcare providers to access and use unstructured clinical content – such as scanned documents, medical images and clinical notes – directly within their existing workflows. This level of interoperability improves efficiency, patient outcomes and reduces the friction that often comes with adopting new technology.
Finally, staying on top of regulatory requirements and data security is essential when working in HealthTech. Healthcare is one of the most heavily regulated industries, and compliance is a business necessity. Adhering to regulations like HIPAA in the US or GDPR in Europe is critical to protecting patient data and maintaining trust – a crucial currency in healthcare technology. Startups should embed security and compliance features early in the development cycle rather than afterthoughts.
What emerging trends in HealthTech excite you the most, and how do you see them transforming patient care and operational efficiency?
Artificial Intelligence (AI) is driving rapid advancements in healthcare. Within this, two areas that excite me most are agentic AI for clinical and administrative documentation, as well as AI-enhanced medical imaging. These innovations are transforming patient care and operational efficiency – aligning closely with what we’re doing at Hyland Healthcare.
In clinical and administrative documentation, AI reduces administrative burdens and improves clinical accuracy by automating processes that once required significant manual effort. At Hyland, our AI-powered Process Intelligence solution extracts and contextualises unstructured data from physician notes, lab reports and other clinical documents. By converting this data into actionable insights, we’re enabling healthcare providers to make more informed decisions faster, which reduces physician burnout and leads to better patient outcomes.
Another exciting trend is the rise of AI in medical imaging and early disease detection. Traditional imaging systems often exist in silos, preventing clinicians from gaining a comprehensive view of the patient’s overall health. Hyland’s cloud-based Enterprise Medical Imaging solutions break down these barriers by consolidating imaging content into a unified platform that integrates seamlessly with EHRs. Breaking down these silos allows healthcare providers to successfully adopt AI-driven analytics to help detect early signs of disease that might be missed in traditional workflows, leading to earlier diagnoses, more personalised treatment plans and potentially, lives saved.
As we look ahead to 2025, what are Hyland Healthcare’s top priorities for driving innovation and growth in the healthcare space?
Hyland is focused on empowering healthcare organisations to harness the full potential of their data and content. Our Content Innovation Cloud (CIC) platform aligns with top healthcare priorities – modernising operations, enhancing patient care, and driving innovation without disrupting existing systems. Here are three key innovations helping organisations achieve these goals:
- AI–powered clinical and administrative documentation
CIC’s Content Intelligence leverages AI to extract and contextualise unstructured data from clinical documents like physician notes and H&Ps. This automation reduces administrative tasks and accelerates decision-making, allowing providers to focus more on patient care.
- AI-driven enterprise imaging in the cloud
The shift to cloud-based enterprise imaging is transforming how healthcare organisations store, manage and utilise medical imaging data. Traditionally siloed within radiology or cardiology systems, imaging content can now be centralised in a secure, cloud-based environment with Hyland’s Enterprise Imaging suite.
- Customised healthcare solutions
Our CIC platform enables tailored applications that solve real-world problems our customers face daily. It allows us to rapidly design and deploy solutions for improving health information management, streamlining claims processing and enhancing enterprise medical imaging workflows.
Looking ahead, we’re introducing Intelligent Medical Records and Intelligent Business Correspondence, leveraging Content Intelligence and Process Intelligence to automate the capture, classification, and extraction of critical data from unstructured documents.
These innovations reduce administrative burdens, enhance decision-making, and streamline workflows – allowing healthcare organisations to focus more on patient care and less on manual data processing.
