Ep. 47 Interview Series: Barry Mulholland on How AI-driven Data Quality Improves Patient Care

Business Breaks - All Things Business

Speaker Bio:

Barry Mulholland is the founder of MBI Healthcare Technologies. Formed in 2012, they are a company who's goal is to reduce waiting times for patients. This was all before the current issues and explosion of waits so they were trendsetters!
Barry has extensive healthcare experience in commissioning, strategic reform, operational performance improvement, financial recovery and market analysis. He has worked with some of the largest and most influential global healthcare organisations.

Barry has a broad range of expertise and experience having worked in informatics, NHS General Management and for the Intensive Support Team. He has developed a reputation for his RTT knowledge nationally and regular contributes to central debate and policy shaping. Barry has supported over 60 Trusts to improve performance and the quality of their information.

Working within the NHS exposed Barry to the complexities of implementing healthcare systems. Despite the name "National Health Service," each hospital had unique requirements and operations, making it incredibly challenging to implement a single system across multiple institutions.
Barry faced these challenges head-on, utilising his knowledge of computer science and data management to find innovative solutions for the healthcare industry. His experiences have shaped him into a seasoned leader capable of navigating the intricate landscape of healthcare technology.
Connect with Barry:

• LinkedIn
• MBI Technologies Website
• X (formerly Twitter)

Episode Topics:

I. Introduction to Barry Mulholland and MBI
- Background of Barry Mulholland as co-founder of MBI
- Overview of MBI's focus on operational excellence in the NHS through precision data
II. The Development of LUNA and its Impact
- Introduction of LUNA as a platform managing 40 million patient pathways daily
- Use of automation and advanced AI to bring unstructured clinical data into the 21st century
- Goal of achieving the most accurate datasets to save time on data checks and corrections
- Achievement of a 65% reduction in data quality issues in England's referral to treatment pathways in 2021
III. Challenges in Healthcare Data Quality
- The speaker's experience with implementing systems in the NHS and the challenges of hospital variability
- Issues with clunky user interfaces and excessive data entry taking away from patient care
- Negative impact on data quality due to clinicians' dissatisfaction with the IT systems
- Various reasons and challenges associated with poor data quality
IV. Addressing the Flaws in Existing AI Products
- The speaker's belief that existing AI products in health are flawed, as they don't ensure data correctness
- Highlighting the abundance of unstructured data in health records beyond the EPR system
- The importance of conversations between doctors and patients in understanding a patient's health
- MBI's AI model designed to address this problem
V. Impacts and Benefits of MBI's Technology
- Immediate attention and reduced harm for patients who missed appointments or were not properly recorded
- Identification and management of specific patient cohorts for targeted and effective healthcare
- Increasing importance of clinical safety with the ability to identify at-risk patient cohorts
VI. Privacy Concerns and Data Handling
- Questions raised about privacy concerns and data processing in Luna
- The potential power and benefits of Luna's technology with large and correct data sets
- Need to address governance and guidelines for sharing data with the public, similar to GDPR
VII. Ensuring Responsible AI Implementation
- Implementation of supervised learning in MBI's platform, with human involvement in decision-making
- Managing the potential dangers of the machine making incorrect decisions in healthcare
- The importance of carefully handling data quality and AI technology in the healthcare environment
VIII. Understanding People's Lives and Work Environments
- Importance of daily conversations with people beyond selling or finance-related topics
- The value of understanding people's lives and work environments to offer help
IX. Governance and Data Sharing
- Need for clear guidelines and governance around data sharing with the public
- Suggested agreement similar to GDPR and data protection laws for specific data usage purposes
- Proposing heavy fines to discourage misuse of healthcare data
X. Addressing Waiting Lists and Emergency Department Issues
- Highlighting the cycle between long waiting lists and overcrowded emergency departments
- Need to fix waiting list problems quickly to prevent further strain on emergency departments
- Emphasizing the importance of addressing both waiting list and emergency department issues.

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