Centre for Leadership, Technology & Futures (CLTF)
IHRI
Centre for Leadership, Technology, and Futures (CLTF)
The Centre for Leadership, Technology, and Futures (CLTF) cultivates the visionary leadership and strategic acumen vital for navigating our complex, technology-driven world. We champion the responsible integration of technology, including crucial advancements in AI ethics, to drive innovation and build resilient systems across all sectors. Our mission is to foster impactful leadership and strategic management practices that positively shape global public policy, address pressing environmental challenges, and extend into advanced space exploration endeavors, securing a sustainable and innovative future.
Our Vision
The Centre for Leadership, Technology, and Futures (CLTF) aspires to be global nexus for thought leadership, applied research, and executive education at the dynamic intersection of leadership, technology, and resilient futures. We empower professionals to confidently navigate and lead the complex challenges shaping Health, Technology, Space, Agritech, and Environmental Systems, driving sustainable growth and innovation for a better tomorrow.
Core Research Areas
Our research at CLTF delves into critical domains that shape effective leadership, strategic innovation, and operational excellence across all sectors, driving IHRI’s Expanded Global Focus:
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Strategic Leadership & Organizational Resilience
We develop frameworks and insights for effective leadership that drives growth, adaptability, and resilience within organizations navigating complex global challenges.
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Technology Innovation & Ethical Integration
We investigate the responsible adoption, integration, and scaling of new technologies, including AI ethics, to enhance delivery and outcomes. Our focus is on ensuring innovation serves humanity ethically and effectively.
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Operations & Systems Optimization for Future Readiness
We apply advanced decision-making strategies to optimize processes, improve efficiency, and ensure robust system performance across diverse ecosystems, preparing organizations for future complexities.
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Policy, Governance & Ethical Futures
We examine the regulatory, ethical, and governance frameworks essential to guide innovation and ensure responsible progress in both terrestrial advancements and complex future endeavors, including space exploration and new technological frontiers.
Doctoral Research Pathways
The CLTF supports several specialized pathways within IHRI's doctorate of HEalth Science programme. These pathways allow experienced professionals to conduct high-impact research that aligns with the Centre's core mission of fostering leadership and navigating technological change. Below are two examples of such specializations.
Pathway: Leadership in Health Systems
The Challenge
Modern healthcare systems require transformative leaders who can navigate uncertainty, drive evidence-based innovation, and build resilient, patient-centered systems. The key challenges include system inefficiency, workforce burnout, the difficulty of implementing change at scale, and persistent health inequities.
The DHS Curriculum: A Blueprint for Health Systems Leadership
- D801: Transforming Services/Delivering Quality – Re-envisioned as: Architecting High-Value, High-Reliability Health Systems. Research could involve designing interventions to reduce wait times, streamlining clinical pathways, or developing risk management strategies.
- D802: Implementation Science – Re-envisioned as: Leading and Sustaining Evidence-Based Change in Complex Organizations. Research could focus on barriers to adopting new clinical guidelines, designing strategies to increase adherence to safety protocols, or de-implementing low-value care.
- D803: Research Methods – Re-envisioned as: The Health Leader’s Toolkit for Data-Driven Decision Making. This module provides methods to analyze large administrative health datasets (quantitative) and understand the complex human elements of healthcare (qualitative).
- D804: Literature Review & Research Proposal – Re-envisioned as: Identifying a Leadership Challenge and Charting a Path to Impact. Candidates can systematically review literature from business, public policy, and health economics to identify and propose novel solutions.
- D805: Thesis – Re-envisioned as: A Legacy Contribution to Health System Excellence. A practical project, such as developing a new governance framework or validating a predictive model for identifying high-risk patients.
Portfolio of Potential Thesis Topics
| Research Domain | Potential Thesis Topics |
|---|---|
| Healthcare Quality & Safety | - Developing an AI-based early warning system for patient deterioration. - An implementation science study of high-reliability organization (HRO) principles in a hospital setting. - Reducing diagnostic error through clinical decision support and team training interventions. |
| Health Policy & Economics | - A comparative analysis of different payment models for integrated care. - The impact of health policy on access to care for underserved populations. - Developing a framework for ethical resource allocation in a public health crisis. |
| Workforce & Organizational Culture | - A new model for interprofessional education and collaborative practice. - Creating and sustaining a culture of psychological safety in healthcare teams. - The impact of leadership diversity on organizational performance and health equity. |
Pathway: Technology in Health Systems
The Challenge
Healthcare is in the midst of a digital revolution. The primary challenge is not the invention of new technology, but its effective, ethical, and equitable implementation into complex clinical practice. Leaders must navigate implementation gaps, data interoperability, ethics, and the digital divide.
The DHS Curriculum: A Blueprint for the Digital Health Leader
- D801: Transforming Services/Delivering Quality – Re-envisioned as: Engineering and Evaluating High-Value Digital Health Systems. Research could involve using Lean to optimize workflows after a new EHR implementation or applying TQM frameworks to ensure the reliability of a clinical AI algorithm.
- D802: Implementation Science – Re-envisioned as: The Science of Driving Technology Adoption and Sustaining Digital Change. Research could focus on barriers to physician adoption of clinical decision support or design a strategy to roll out a "patient portal."
- D803: Research Methods – Re-envisioned as: The Data Scientist and Ethnographer's Toolkit for Health Tech. This provides skills to validate an AI model's accuracy (quantitative) and to use ethnographic observation to understand technology use in clinical settings (qualitative).
- D804: Literature Review & Research Proposal – Re-envisioned as: Identifying a Critical Problem on the Digital Frontier. Candidates might review literature on algorithmic bias to propose a fairness-auditing framework or review cybersecurity policies to propose a new governance model.
- D805: Thesis – Re-envisioned as: A Capstone Contribution to the Digital Health Ecosystem. This could be the design of a novel AI-driven diagnostic tool or the creation of an ethical governance framework for the use of generative AI in clinical practice.
Portfolio of Potential Thesis Topics
| Research Domain | Potential Thesis Topics |
|---|---|
| Artificial Intelligence & Analytics | - Validating a machine learning model to predict sepsis in the ICU. - A human-in-the-loop study of an AI-powered diagnostic imaging tool. - Developing a natural language processing (NLP) tool to extract social determinants of health from clinical notes. |
| Telehealth & Remote Monitoring | - A cost-effectiveness analysis of a remote patient monitoring program for heart failure. - Human factors analysis of wearable sensor data visualization for clinicians. - The impact of virtual primary care on patient continuity and outcomes. |
| Governance, Policy & Ethics | - A new policy framework for cross-border sharing of health data for research. - Ethical frameworks for the use of genomic data in clinical care. - A study on the effectiveness of cybersecurity training for healthcare staff. |