Timely, Granular, and Actionable: Informatics in the Public Health 3.0 Era

Abstract

Ensuring the conditions for all people to be healthy, though always the core mission of public health, has evolved in approaches in response to the changing epidemiology and challenges. In the Public Health 3.0 era, multisectorial efforts are essential in addressing not only infectious or noncommunicable diseases but also upstream social determinants of health. In this article, we argue that actionable, geographically granular, and timely intelligence is an essential infrastructure for the protection of our health today. Even though local and state efforts are key, there are substantial federal roles in accelerating data access, connecting existing data systems, providing guidance, incentivizing nonproprietary analytic tools, and coordinating measures that matter most.

Electronic medical record implementation in tertiary care: factors influencing adoption of an electronic medical record in a cancer centre

“…The central role of informal education opportunities in the training and mentorship of early career doctors has been acknowledged in the literature [ 13 , 14 ]. Furthermore, there literature on health professions education has acknowledged the untapped potential of EMR data and other clinical data sets for supporting high-quality learning environments [ 15 ]. Findings from this study suggest placing an emphasis on these benefits when implementing digital technologies to enhance EMR uptake.…”

“…Interestingly, the major challenges implementing the EMR were external to the control of the clinical team implementing the system. The literature has noted that lack of infrastructure and technical supports is a major barrier preventing the harnessing of EMR data by the staff [ 16 ], and for making health data actionable more broadly [ 15 ]. Findings from this study emphasise the enormity of overcoming resourcing and infrastructure challenges if digital technologies are to be effectively implemented and sustained in the health sector.…”

Improving Health Promotion Through the Integration of Technology, Crowdsourcing, and Social Media

“…Ultimately, dynamic and complex health problems are rarely solved in isolation with simple solutions. It has been asserted that the next iteration of public health promotion will need to employ practices such as multilevel systems thinking, geospatial inference, complex prediction modeling, digital interfacing, and team science to create solutions to these dynamic health problems (Clapp, 2018; Wang & DeSalvo, 2018). Strategies of the past will not be sufficient to meet the challenges of the future.…”

Archetype-Based Modeling and Search of Social Media

“…Social media users are increasingly representative of general populations in many countries and can offer an avenue for searching for data representative of these populations. Searching for, studying, monitoring, and understanding relevant discourse on social media is an emerging frontier for population-level informatics in different areas-an example being public health [3]. Understanding populations based on content they create online, monitoring at-risk groups based on online activity, searching for prototypical individuals represented through textual models, and reaching out to people on social media have been tied to measurable real-world change.…”