{"688606":{"#nid":"688606","#data":{"type":"news","title":"IPaT Research Scientists Supporting Pediatric Research","body":[{"value":"\u003Cp\u003E\u003Cbr\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/ipat\u0022\u003EInstitute for People and Technology\u003C\/a\u003E (IPaT) is deeply engaged in advancing pediatric research and clinical innovation through a partnership with the\u0026nbsp;\u003Ca href=\u0022https:\/\/ptc.gatech.edu\/\u0022\u003EChildren\u2019s Healthcare of Atlanta Pediatric Technology Center at Georgia Tech\u003C\/a\u003E (PTC). The center brings clinical experts from Children\u2019s together with Georgia Tech scientists and engineers to develop technological solutions to problems in the health and care of children. The PTC provides opportunities for interdisciplinary collaboration to create breakthrough discoveries that enhance the lives of children and young adults in Georgia and beyond.\u003Cbr\u003E\u003Cbr\u003EIPaT is supporting research within two of PTC\u2019s\u0026nbsp;\u003Ca href=\u0022https:\/\/pedsresearch.org\/centers\/pediatric-technology-center\/pillar-leadership\u0022\u003Ethree core research pillars\u003C\/a\u003E: data science, machine learning, and artificial intelligence; and patient\u2011centered care delivery. PTC\u2019s third research pillar is focused on technologies and devices. With the expertise of IPaT\u2019s research scientists, these joint efforts combine scientific expertise, clinical insight, and shared funding that are helping to transform research innovations into operational tools that directly support pediatric patient care at Children\u2019s.\u003C\/p\u003E\u003Cp\u003E\u201cIPaT is bringing two core competencies to both of these research pillars,\u201d said Maribeth Gandy Coleman, IPaT\u2019s director of research. \u201cFirst, we\u2019re advocating for and supporting the use of people-centered techniques to inform the research and co-designing the resulting system with all the stakeholders. Second, we\u2019re also making sure we can translate this research into a real return on investment for Children\u2019s. We are ensuring that what we design can be deployed in the hospital, and that it can be integrated with their existing systems and merge as seamlessly as possible with their existing workflows.\u201d\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003ESupporting Data Science, Machine Learning, and Artificial Intelligence (Pillar 1)\u003C\/strong\u003E\u003Cbr\u003EPillar 1 focuses on harnessing artificial intelligence to enable more personalized and predictive pediatric care. The work aims to improve data collection infrastructure, support equitable AI practices, and build a Children\u2019s-Georgia Tech pediatric AI collaboration that integrates advanced AI tools into clinical workflows.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EClinical Deterioration Prediction\u003C\/strong\u003E\u003Cbr\u003EOne of the flagship projects within Pillar 1 involves developing machine learning models that can detect clinical deterioration in hospitalized children. The goal is to identify when a patient needs urgent escalation to the intensive care unit \u2014 faster and more accurately than traditional monitoring.\u003C\/p\u003E\u003Cp\u003ETo achieve this, IPaT research scientists are:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EExtracting and securely transferring electronic health record (EHR) data from Children\u2019s clinical systems.\u003C\/li\u003E\u003Cli\u003ETraining predictive models using that real\u2011world data.\u003C\/li\u003E\u003Cli\u003EBuilding the software infrastructure required to deploy these models inside Children\u2019s.\u003C\/li\u003E\u003Cli\u003EIntegrating model outputs directly into the EHR using Fast Healthcare Interoperability Resources\u0026nbsp;communication protocols. (FHIR is an international standard for the electronic exchange of healthcare information.)\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EThis infrastructure is intentionally designed not just for this single project but as a repeatable, scalable framework for future AI\u2011enabled clinical tools developed through the Children\u2019s-Georgia Tech partnership.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAI-Enhanced Decision-Making for Hospital Operations\u003C\/strong\u003E\u003Cbr\u003EA second emerging project under Pillar 1 aims to address one of healthcare\u2019s most persistent operational challenges: ICU capacity management. Seasonal fluctuations, such as surges in flu or Covid\u201119 cases, can create sudden ICU demand surges and staff illnesses, which can make scheduling and staffing decisions challenging.\u003C\/p\u003E\u003Cp\u003EIPaT is building models that incorporate historical hospital activity, seasonal variation, and real\u2011time census and staffing levels to predict scheduling needs and help Children\u2019s optimize resource allocation. This research is just beginning, but holds the potential for improving both care delivery and staff well\u2011being. More importantly, IPaT is applying user-centered design and research techniques along with the engineering work to engage with Children\u2019s people and processes to ensure that these prediction and resource allocation models actually work, and that they will actually be used and useful in the Children\u2019s clinical environment.\u0026nbsp;\u003Cbr\u003E\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESupporting Patient\u2011Centered Care Delivery (Pillar 2)\u003C\/strong\u003E\u003Cbr\u003EPillar 2 seeks to improve pediatric outcomes by focusing on the \u201cwhole child\u201d \u2014 physical, psychological, social, and emotional well\u2011being \u2014 while accounting for the needs of families, caregivers, and community environments. Particular emphasis is placed on behavioral health, rural healthcare access, and chronic illness in underserved populations.\u003C\/p\u003E\u003Cp\u003EIPaT contributes to this work on two fronts:\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EUser Experience and Workflow Research\u003C\/strong\u003E\u003Cbr\u003EIPaT\u2019s user experience (UX) researchers conduct interviews, workflow studies, and design evaluations with Children\u2019s clinicians and staff. This human\u2011centered research helps shape the interfaces, processes, and technologies needed to deliver patient\u2011centered care in practical, usable ways. These contributions ensure that tools created through the partnership align with the realities of clinical practice.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EData Integration for Behavioral and Social Insights\u003C\/strong\u003E\u003Cbr\u003EFor Pillar 2 research,\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/ipat\/sde\u0022\u003EIPaT\u2019s secure data enclave\u003C\/a\u003E enables Children\u2019s EHR data to be transferred, stored, and analyzed in a HIPAA\u2011compliant environment. Researchers are using this infrastructure to combine clinical data with voluntarily contributed social media information from consenting participants. The aim is to explore indicators of psychological well\u2011being, behavioral health trends, and early warnings related to self\u2011harm.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EA Secure, Scalable Data Infrastructure to Support Both Pillars\u003C\/strong\u003E\u003Cbr\u003EThe IPaT secure data enclave provides a protected, secure environment for storing and analyzing sensitive patient information. It serves as the backbone connecting Georgia Tech researchers with Children\u2019s clinical systems. Both Pillar 1 and Pillar 2 research initiatives rely on this Georgia Tech IPaT-managed secure infrastructure to safely enable:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EEHR data transfer and storage.\u003C\/li\u003E\u003Cli\u003EMachine learning model development.\u003C\/li\u003E\u003Cli\u003ETesting and validation workflows.\u003C\/li\u003E\u003Cli\u003EEventual operational deployment back into Children\u2019s systems.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EThis secure, scalable architecture is central to the shared goal of translating research into actionable clinical tools.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAccelerating Pediatric Discovery\u003C\/strong\u003E\u0026nbsp;\u003Cbr\u003EGeorgia Tech\u2019s partnership with Children\u2019s represents a powerful model for cross\u2011institutional innovation. By aligning IPaT\u2019s strengths in human\u2011centered design, machine learning, and secure data systems with Children\u2019s clinical expertise, IPaT is helping to build solutions that move quickly from concept to bedside.\u003C\/p\u003E\u003Cp\u003EAs these projects grow, especially with the ongoing expansion of the clinical deterioration system and the launch of the AI-enhanced operations initiative, IPaT research scientists anticipate even greater opportunities to support Children\u2019s mission and improve pediatric health outcomes.\u003C\/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003Cem\u003EThank you to Richard Starr for providing insight about these research projects.\u003C\/em\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Institute for People and Technology (IPaT) is deeply engaged in advancing pediatric research and clinical innovation through a partnership with the Children\u2019s Healthcare of Atlanta Pediatric Technology Center at Georgia Tech (PTC).\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Institute for People and Technology (IPaT) is deeply engaged in advancing pediatric research and clinical innovation through a partnership with the Children\u2019s Healthcare of Atlanta Pediatric Technology Center at Georgia Tech (PTC). "}],"uid":"27513","created_gmt":"2026-02-27 19:40:01","changed_gmt":"2026-03-05 15:05:05","author":"Walter Rich","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-02-27T00:00:00-05:00","iso_date":"2026-02-27T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679477":{"id":"679477","type":"image","title":"Photo of the joint Children\u0027s and Georgia Tech Pillar 1 team taken September 2025.","body":"\u003Cp\u003EA photo of the joint Children\u0027s and Georgia Tech Pillar 1 research team taken September 2025. Six research faculty members from IPaT are in the picture: Peter Presti, Maribeth Gandy Coleman, Clint Zeagler, Jeremy Johnson, Richard Starr, Kala Jordan and Christine Taylor, a graduate research assistant in IPaT.\u0026nbsp;\u003C\/p\u003E","created":"1772215469","gmt_created":"2026-02-27 18:04:29","changed":"1772222909","gmt_changed":"2026-02-27 20:08:29","alt":"Photo of the joint Children\u0027s and Georgia Tech Pillar 1 team taken September 2025.","file":{"fid":"263644","name":"IMG_2185-copy3-smaller-cropped.jpg","image_path":"\/sites\/default\/files\/2026\/02\/27\/IMG_2185-copy3-smaller-cropped.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/27\/IMG_2185-copy3-smaller-cropped.jpg","mime":"image\/jpeg","size":1659699,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/27\/IMG_2185-copy3-smaller-cropped.jpg?itok=S6xXxovw"}}},"media_ids":["679477"],"groups":[{"id":"69599","name":"IPaT"}],"categories":[],"keywords":[{"id":"188084","name":"go-ipat"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EWalter Rich\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}