AI in Healthcare: A Transparent Approach to Informatics
暫譯: 醫療中的人工智慧：透明的資訊學方法

這本書針對後疫情時代對於人工智慧（AI）醫療洞察的迫切需求進行探討。它探索了快速演變的AI環境，並提供了基於證據的實用指導，這些指導是從疫情期間所學到的經驗中提煉而來。

Dr Philip Eappen is an accomplished Healthcare Executive, Academic, and Researcher currently serving as Assistant Professor in the Department of Professional Studies, School of Nursing; Director, Research in Medicine CBMC Dalhousie University Adjunct Faculty in Healthcare Management, Shannon School of Business at Cape Breton University; and Associate Scientist with the Maritime SPOR SUPPORT Unit. With over a decade of experience spanning hospital operations, healthcare education, and strategic leadership, he has consistently advanced innovation and excellence across diverse healthcare systems in Canada, the United States, and internationally.

Dr Eappen's clinical leadership experience includes progressive roles at the Breton Ability Centre in Sydney, Nova Scotia, where he advanced to Director of Clinical Services and Transition to Community, leading person-centered care initiatives and community transition services. His academic career encompasses appointments at the University of Toronto, Southern Alberta Institute of Technology, and Fanshawe College. Internationally, he served as Director of Health Services and Chief Administrator of Healthcare Operations at the American University of Nigeria, where he spearheaded clinical transformation, emergency preparedness, and inclusive health initiatives, including programs supporting survivors of Boko Haram abductions.

Dr Eappen holds a Doctorate in Healthcare Administration and Post-Graduate Certificate in International Health from Central Michigan University, complemented by an MBA in Healthcare Management and Bachelor of Nursing. He has developed and taught curricula across undergraduate and graduate levels in healthcare leadership, innovation, and health systems analytics, while leading the program development of Cape Breton University's Master of Healthcare Innovation and Leadership program.

An active contributor to national and global health dialogues, Dr Eappen serves on the boards of the American College of Healthcare Executives, Myeloma Canada, Aplastic Anemia and Myelodysplasia Canada, and the Network of Rare Blood Disorder Organizations (NRBDO). He chairs research and ethics committees, reflecting his commitment to governance, evidence-based practice, and health equity.

Dr Eappen has published extensively on artificial intelligence in healthcare, digital health transformation, and health workforce development. His recent editorial work includes Healthcare Informatics Innovation Post COVID-19 Pandemic (Taylor & Francis). He has presented at major international conferences including ICN 2025, ICIMTH, and INTED. As a Certified Health Executive (CHE) through the Canadian College of Health Leaders and Fellow candidate of the American College of Healthcare Executives (FACHE), Dr Eappen continues pursuing the highest standards of professional excellence in healthcare leadership. His research agenda focuses on digital innovation, rare diseases, and global workforce integration, continuing to shape policy, practice, and pedagogy in healthcare management.

Dr Virginia Gunn is an Associate Professor in the School of Nursing at Cape Breton University and an Affiliate Researcher at the Unit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institute, Sweden. As a public health researcher with interdisciplinary training in health and social sciences, Dr Gunn earned her doctoral and master's degrees from the Lawrence Bloomberg Faculty of Nursing and completed a Collaborative Doctoral Specialization in Global Health from the Dalla Lana School of Public Health, University of Toronto.

Dr Gunn combines her academic background with extensive professional experience as a health practitioner, with expertise spanning public health, acute care, and long-term care settings. She has assumed various leadership roles--including project lead, committee chair, board director, finance officer, and co-founder of interest groups--through which she has spearheaded initiatives to improve health systems and promote evidence-informed decision-making.

As a dedicated researcher, Dr Gunn maintains an active record of engagement in international, national, and regional projects and collaborations. Her established research program examines the intersection of advanced technologies, including artificial intelligence, with social determinants of health--particularly employment, migration, and gender--and their role in shaping health inequities. Through this work, she contributes to understanding how technological advancement can address or exacerbate existing health disparities in diverse populations.

Dr Dimitrios Zikos is an Associate Professor in the Department of Healthcare Management and Leadership at Texas Tech University Health Sciences Center (TTUHSC). He is a core faculty member in the Master of Science in Healthcare Administration (MSHA) program, where he teaches graduate-level courses in health informatics, research methods, and statistics. Dr Zikos brings extensive academic and leadership experience, having previously served as Director of the Health Administration Division and Interim Program Director of the Master of Health Administration at Central Michigan University. During his tenure there, he led the program's successful accreditation by the Commission on Accreditation of Healthcare Management Education (CAHME).

Dr Zikos holds a Ph.D. in Health Informatics from the National and Kapodistrian University of Athens in Greece and a Bachelor's degree in Nursing. His professional background spans both Europe and the United States, with applied research and academic contributions focused on the intersection of health data, workforce management, and patient safety.

His research is centered on leveraging data analytics to improve clinical and administrative decision-making in healthcare. He specializes in the secondary analysis of medical claims data, comorbidity modeling, and the evaluation of inpatient outcomes such as mortality and length of stay. Dr Zikos is particularly interested in the use of digital tools to enhance healthcare access for underserved populations, and the development of data-driven systems to support evidence-based care and decision-making. He is also active in the field of medical education technology, working on simulation-based tools that enhance the accessibility and usability of health information for both clinicians and patients.

A dedicated mentor, Dr Zikos has chaired over twenty doctoral dissertations, supporting students who aim to apply informatics and analytics to solve complex, real-world healthcare challenges. He has authored numerous peer-reviewed articles, book chapters, and conference presentations in health informatics, healthcare management, and digital health systems.

Dr Narasimha Rao Vajjhala is a distinguished Academic and Researcher currently serving as Professor and Chair of the Department of Computer Science at the American University in Bulgaria (AUBG). With over two decades of experience in higher education, Dr Vajjhala has held senior academic leadership positions, including Dean of the Faculty of Engineering and Architecture at the University of New York Tirana (UNYT), Albania, and Chair of Computer Science and Software Engineering programs at the American University of Nigeria (AUN).

Throughout his career, Dr Vajjhala has taught a comprehensive range of undergraduate and graduate courses in computer science, database systems, and programming across institutions in Europe and Africa. He serves as Editor-in-Chief of the International Journal of Risk and Contingency Management (IJRCM) and maintains active membership as a Senior Member of both the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), as well as membership in the Project Management Institute (PMI).

Beyond academia, Dr Vajjhala has provided technology consulting services for various European firms and participated in numerous EU-funded research and innovation projects. He holds a Doctorate in Information Systems and Technology from the United States, an M.Sc. in Computer Science and Applications from India, and an MBA with specialization in Information Systems from Switzerland. His interdisciplinary expertise spans computer science, information systems, and project management, with significant contributions to research, education, and industry practice across international contexts.

菲利浦·伊本（Dr Philip Eappen）是一位成就卓越的醫療保健高管、學者和研究人員，目前擔任達爾豪斯大學護理學院專業研究系的助理教授；醫學研究主任，CBMC達爾豪斯大學；以及凱布雷頓大學香農商學院醫療管理的兼任教員；同時也是海洋SPOR支持單位的副科學家。擁有超過十年的經驗，涵蓋醫院運營、醫療教育和戰略領導，他在加拿大、美國及國際多樣的醫療系統中不斷推進創新和卓越。

伊本博士的臨床領導經驗包括在新斯科舍省悉尼的布雷頓能力中心的逐步晉升，最終成為臨床服務和社區過渡的主任，領導以人為本的護理倡議和社區過渡服務。他的學術生涯包括在多倫多大學、南阿爾伯塔理工學院和范肖學院的任職。國際上，他曾擔任尼日利亞美國大學的健康服務主任和醫療運營首席管理者，主導臨床轉型、應急準備和包容性健康倡議，包括支持博科哈拉綁架倖存者的計劃。

伊本博士擁有中央密歇根大學的醫療管理博士學位和國際健康的研究生證書，並擁有醫療管理的MBA和護理學學士學位。他在醫療領導、創新和健康系統分析的本科和研究生課程中開發和教授課程，同時領導凱布雷頓大學醫療創新與領導碩士課程的項目開發。

作為國家和全球健康對話的積極參與者，伊本博士擔任美國醫療高管學會、加拿大多發性骨髓瘤協會、加拿大再生障礙性貧血和骨髓增生異常協會以及罕見血液疾病組織網絡（NRBDO）的董事會成員。他擔任研究和倫理委員會的主席，體現了他對治理、基於證據的實踐和健康公平的承諾。

伊本博士在醫療保健中的人工智慧、數位健康轉型和健康人力資源發展方面發表了大量著作。他最近的編輯工作包括《COVID-19大流行後的醫療信息學創新》（Taylor & Francis）。他曾在ICN 2025、ICIMTH和INTED等主要國際會議上發表演講。作為加拿大健康領導者學院的認證健康高管（CHE）和美國醫療高管學會的研究員候選人（FACHE），伊本博士持續追求醫療領導的最高專業標準。他的研究議程專注於數位創新、罕見疾病和全球人力資源整合，持續塑造醫療管理中的政策、實踐和教學法。

維吉尼亞·甘（Dr Virginia Gunn）是凱布雷頓大學護理學院的副教授，也是瑞典卡羅林斯卡學院環境醫學研究所職業醫學單位的附屬研究員。作為一名公共衛生研究人員，甘博士擁有健康和社會科學的跨學科訓練，並在勞倫斯·布隆伯格護理學院獲得博士和碩士學位，並在多倫多大學達拉拉納公共衛生學院完成全球健康的合作博士專業化。

甘博士將她的學術背景與作為健康從業者的廣泛專業經驗相結合，專長涵蓋公共衛生、急性護理和長期護理環境。她擔任過多個領導角色，包括項目負責人、委員會主席、董事會成員、財務官和利益小組的共同創始人，通過這些角色推動改善健康系統和促進基於證據的決策。

作為一名專注的研究者，甘博士在國際、國內和區域項目及合作中保持活躍的參與記錄。她的研究計劃探討先進技術（包括人工智慧）與健康的社會決定因素之間的交集，特別是就業、移民和性別，及其在塑造健康不平等中的角色。通過這項工作，她有助於理解技術進步如何解決或加劇不同人群中現有的健康差距。

迪米特里奧斯·齊科斯（Dr Dimitrios Zikos）是德克薩斯科技大學健康科學中心（TTUHSC）醫療管理與領導系的副教授。他是醫療管理碩士（MSHA）課程的核心教員，教授健康信息學、研究方法和統計的研究生課程。齊科斯博士擁有豐富的學術和領導經驗，曾擔任中央密歇根大學健康管理部門主任和健康管理碩士課程的臨時項目主任。在任期間，他成功領導該課程通過醫療管理教育認證委員會（CAHME）的認證。

齊科斯博士擁有希臘雅典國立與卡波迪斯特里安大學的健康信息學博士學位和護理學學士學位。他的專業背景涵蓋歐洲和美國，應用研究和學術貢獻專注於健康數據、人力資源管理和病人安全的交集。

他的研究重點是利用數據分析改善醫療中的臨床和行政決策。他專精於醫療索賠數據的二次分析、共病建模以及住院結果（如死亡率和住院天數）的評估。齊科斯博士特別關注使用數位工具來增強弱勢群體的醫療保健獲取，並開發數據驅動的系統以支持基於證據的護理和決策。他還活躍於醫療教育技術領域，致力於開發增強臨床醫生和病人健康信息可及性和可用性的模擬工具。

作為一名專注的導師，齊科斯博士已主持超過二十篇博士論文，支持希望應用信息學和分析解決複雜現實醫療挑戰的學生。他在健康信息學、醫療管理和數位健康系統方面發表了大量的同行評審文章、書籍章節和會議報告。

納拉西瑪·拉奧·瓦吉哈拉（Dr Narasimha Rao Vajjhala）是一位傑出的學者和研究人員，目前擔任保加利亞美國大學（AUBG）計算機科學系的教授和系主任。擁有超過二十年的高等教育經驗，瓦吉哈拉博士曾擔任高級學術領導職位，包括阿爾巴尼亞的紐約大學地區工程與建築學院院長，以及尼日利亞美國大學計算機科學和軟體工程項目的主任。

在他的職業生涯中，瓦吉哈拉博士在歐洲和非洲的多所機構教授了計算機科學、數據庫系統和編程的廣泛本科和研究生課程。他擔任《國際風險與應急管理期刊》（IJRCM）的主編，並作為計算機協會（ACM）和電氣與電子工程師學會（IEEE）的高級會員保持活躍的會員身份，同時也是項目管理協會（PMI）的成員。

在學術界之外，瓦吉哈拉博士為多家歐洲公司提供技術諮詢服務，並參與了多個歐盟資助的研究和創新項目。他擁有美國的信息系統與技術博士學位、印度的計算機科學與應用碩士學位，以及瑞士的信息系統專業MBA。他的跨學科專業知識涵蓋計算機科學、信息系統和項目管理，對國際背景下的研究、教育和行業實踐做出了重要貢獻。