Welcome to the Health Systems and Management Initiative (HSMI), where inspiration meets innovation to collaboratively transform health systems and shape a healthier future together!
At HSMI, we are not just a platform – we are a dynamic hub for ideation, learning, inspiration, and empowerment. Join us on a transformative journey through the evolving landscape of healthcare, where quality, efficiency, and cost-effectiveness are at the forefront.
In collaboration with esteemed national and international organizations, HSMI is at the forefront of catalyzing research-driven innovations that are reshaping health systems. With unwavering support from our local and global partners, we lead the charge in exploring groundbreaking approaches to enhance the value of healthcare delivery.
Our multidisciplinary research portfolio spans a wide spectrum, including:
Leveraging our institution's strength in the healthcare field, as well as our extensive network of research endeavors and partnerships, HSMI stands poised to make significant contributions to both academic excellence and practical solutions for the myriad challenges faced by the healthcare industry.
Join us in driving the healthcare revolution and be part of the positive change that is defining the future of healthcare. Together, we will shape a healthier tomorrow.
Good news for students! The HSMI is here to support and inspire students. We welcome all students who are interested in healthcare innovation and improvement. Supports include in-depth training, workshops, and expert resources. Students may contact us to learn more about the HSMI and student events.
We aim to organize regular events to better engage researchers and healthcare stakeholders. Below, you can find various activities that the HSMI organizes.
The HSMI was mainly founded by the faculty at the Department of Management Science and Engineering at Khalifa University of Science and Technology, Abu Dhabi, UAE. The Department offers state-of-the-art facilities for faculty, academic staff and students to work in. The faculty conducts high-impact research in methodological areas such as optimization, data analytics, machine learning, stochastic systems, simulation, human factors, statistics; and application-driven areas such as supply chain management and logistics, energy, and sustainable systems engineering. In particular, the department has extensive lab facilities, as below, that provide computing tools, resources, and an environment for collaborative healthcare research.
We also offer a range of courses on healthcare that help drive teaching efforts in parallel with our research activities.
With an extensive network and collaboration with local and international partners, we aim to catalyse the growth of Abu Dhabi and the UAE’s rapidly developing knowledge economy.
This study presents the significant impact of medical errors and the potential for AI-powered technologies and systems thinking to improve patient safety and inclusivity in digital transformation.
There is a growing awareness that medical errors constitute a significant challenge harming thousands of people globally every year. This study explores the potential role of AI-powered technologies, such as machine learning algorithms, point-of-care ultrasound (POCUS) devices and decision support systems, which can be utilized to proactively identify high-risk patients and facilitate risk-based decision-making in healthcare.
While patient safety is paramount in this digital transformation, we also explore the role of AI in inclusivity by personalizing healthcare services in the care process, improving accessibility, addressing bias in healthcare systems, and facilitating diagnosis and treatment for people in remote or underserved areas, or with mobility or transportation issues. The study also emphasizes the importance of incorporating system thinking into digital transformation, considering various perspectives, including system, design, people, and risk in the complex and dynamic nature of sociotechnical healthcare systems.
This research aims to leverage the transformative capabilities of AI predictive models, with a particular focus on elevating patient care through early risk identification, especially concerning the widespread and severe condition of Acute Kidney Injury (AKI). The ultimate goal of this research is to bridge the chasm between AI's potential and its tangible impact on patient care, particularly concerning AKI. By shifting the paradigm from reactive healthcare practices to a proactive model of early risk identification and intervention through systems thinking, this research holds the promise of leading patient care into a new era.
This research initiative is built upon three foundational pillars:
In the realm of healthcare, Decision support systems (DSSs) play a crucial role in improving patient care outcomes and reducing healthcare costs by providing timely and accurate recommendations to healthcare providers. Within this context, SEPSIS, a severe medical condition characterized by the body's aberrant response to infection, presents a significant challenge. It annually affects an estimated 47-50 million individuals, with a devastating fatality rate of at least 11 million, equating to one fatality every 2.8 seconds. The complexity of SEPSIS lies in the diverse and often overlapping symptoms it shares with less severe medical conditions, rendering its diagnosis a challenging task.
This research endeavors to introduce an innovative paradigm in the realm of DSSs tailored explicitly for SEPSIS management. Its framework amalgamates system thinking with machine learning (ML) algorithms, distinguishing itself from preceding approaches that predominantly focused on clinical parameters while ignoring the impact of organizational factors in SEPSIS prediction. The proposed methodology transcends these limitations by capturing the temporal evolution of SEPSIS states, thereby facilitating the modeling of the intricate dynamics inherent to the disease.
A notable emphasis is placed on the often-underestimated role of care standardization, aiming to enhance situational awareness, foster interdisciplinary collaboration, and facilitate effective communication among healthcare professionals.
The overarching objective of this investigation is to offer insights and solutions that not only enhance SEPSIS management but also serve as a paradigm for optimizing healthcare delivery. Through this research, the potential arises to reshape the healthcare landscape, improve patient outcomes, and ultimately save lives, marking a transformative milestone in the field of medical practice.
The global COVID-19 pandemic has been an unprecedented disruptor, reshaping every facet of our lives, including the workforce in healthcare. Therefore, it has become imperative for healthcare organizations and decision-makers to proactively assess and understand the evolving trends that are fundamentally altering the composition and dynamics of the workforce.
One significant consequence of the pandemic has been the integration of emerging technologies, most notably Artificial Intelligence (AI), into the healthcare sector. However, the journey towards crafting a resilient healthcare system, often referred to as Healthcare 5.0, is marked by a complex array of challenges. These challenges encompass organizational changes, intricate technological adaptations, regulatory adjustments, financial considerations, and the critical need for cultural transformations.
In response to these dynamic shifts, it is vital for decision-makers and healthcare providers to establish robust policies and protocols that place patient-centric, technology-driven healthcare systems at the forefront of their strategies. These systems are essential for overcoming the formidable barriers posed by the contemporary healthcare landscape.
This research represents a pivotal step towards equipping decision-makers with the insights needed to navigate the impending impact of emerging technologies on jobs and skill sets within the healthcare industry. Through the rigorous application of data analytics, visualization techniques, and machine learning algorithms, this study conducts a comprehensive evaluation of the job analysis framework in healthcare. The findings of this research aim to serve as a roadmap for policymakers, enabling them to guide organizational transformations that embrace digital health. By aligning workforce demands with the requisite skillsets, these shifts can be executed proactively and effectively.
The HSMI is not a platform with walls but a bridge for better communication and collaboration. We welcome anyone to contribute to transforming healthcare for all!
If you would like to engage and collaborate with the HSMI, and hear more about our activities, please contact us. For student chapter activities, please contact the Student Chapter Leader, Khaled Toffaha (khaled.toffaha@ku.ac.ae).
For collaboration opportunities, we encourage you to contact Dr Mecit Can Emre Simsekler (emre.simsekler@ku.ac.ae), founder and director of the HSMI.
