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WASHINGTON, DC USA -- HEALTHCARE UPDATE NEWS SERVICE™ -- SEPTEMBER 16, 2026:
The Fourth Industrial Revolution (4IR) is defined by the deep fusion of digital, physical, and biological systems driven by unprecedented speed, scope, and system-wide impact. This societal transformation is reshaping population health management by shifting it from reactive, episodic care toward continuous, data driven, personalized, and system level prevention through the incorporation of artificial intelligence, big data, Internet of Things (IoT), automation, and advanced analytics in ways that go far beyond merely digitizing existing practices. It marks a shift toward a deeply interconnected, intelligence driven ecosystem where data, technology, and human experience converge to support population wellbeing in real time. In this new era, population health management is no longer confined to retrospective analysis or episodic interventions. Instead, it becomes a dynamic, anticipatory system powered by advanced analytics, ubiquitous sensors, and seamless data flows across clinical, public health, and social domains.
Artificial intelligence and machine learning enable continuous risk detection, early warning signals, and personalized intervention pathways at a scale previously impossible. The proliferation of wearables, remote monitoring tools, and smart environments creates a constant stream of real world health data, allowing health systems to understand population needs with unprecedented granularity. At the same time, digital platforms make it easier to coordinate care across multiple sectors (e.g., healthcare, housing, education, transportation) transforming population health management into a multi system enterprise.
The Fourth Industrial Revolution also demands new governance models that protect privacy, ensure algorithmic fairness, and build trust across communities. As a result, population health management as a field is challenged to keep up with technologically advances while simultaneously remaining socially accountable to stakeholders.
This special issue welcomes scholarship that explores how the Fourth Industrial Revolution is transforming population health management into a predictive and interconnected system. Submissions should illuminate the ways that emerging technologies, new data ecosystems, and cross sector innovations are reshaping populations are understood, engaged, and supported.
 We invite contributions that address themes such as:
- AI enabled population insights
- Next generation data ecosystems
- Digital and cyber physical health infrastructures
- Automation and workforce transformation
- Cross sector and community integrated models
- New financing and policy mechanisms
- Evaluation of tech enabled population health interventions
This special issue seeks work that not only describes technological innovation but also critically examines its implications for ethics, equity, governance, and system redesign. Submissions from interdisciplinary teams including public health, informatics, engineering, behavioral science, policy, and community partners are strongly encouraged.
Manuscript Submission Guidelines
- Manuscripts must be original, unpublished work not under review elsewhere.
- All submissions will undergo standard peer review.
- Formatting and submission instructions should follow the Population Health Management author guidelines.
Manuscript submission deadline: December 1, 2026.
Visit the Instructions for Authors:
https://journals.sagepub.com/author-instructions/POP
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