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Integration of Screening and Referral Tools for Social Determinants of Health and Modifiable Lifestyle Factors in the Epic Electronic Health Record System: Scoping Review

Integration of Screening and Referral Tools for Social Determinants of Health and Modifiable Lifestyle Factors in the Epic Electronic Health Record System: Scoping Review

The main objective of this review is to summarize evidence on the integration of screening and referral tools for SDOH and modifiable risk factors, including tobacco use, alcohol use, and physical inactivity, in the Epic EHR. We further synthesize findings on implementation methods, processes, modifications to clinical workflows, and outcomes from integrating SDOH screening and referral tools in EHR systems.

Jawad Ahmed Chishtie, Jenice Tea, Manuel Ester, Gehna Rasheed, Nicelle Chua, Marcus Vaska, Gary Teare, Kamala Adhikari

J Med Internet Res 2025;27:e73615


Concepts for the Integration and Implementation of mHealth Apps for Patients With Mental Disorders: Scoping Review

Concepts for the Integration and Implementation of mHealth Apps for Patients With Mental Disorders: Scoping Review

To realize the potentials of m Health apps and improve care and support for patients with mental disorders, the lack of integration into existing care structures and processes—as, for example, described by Giebel et al [15]—has to be considered. International evidence on integration and implementation of m Health apps into outpatient mental health care systems can provide guidance to improve the German approach.

Felix Plescher, Klemens Höfer, Jürgen Wasem, Anna Bußmann, Stefanie Solar, Michael Minor, Sarah Schlierenkamp, Dieter Best, Josepha Katzmann, Enno Maaß, Udo Schneider, Anja Wadeck, Sophia Zander, Carina Abels

J Med Internet Res 2025;27:e66340


AI and Primary Care: Scoping Review

AI and Primary Care: Scoping Review

Physician attitudes, patient perspectives, usability, and system factors shape AI integration. One mixed-methods study identified optimism and perceived innovativeness as key predictors of acceptance, while privacy concerns and health awareness influenced readiness [72]. A survey of GPs emphasized priorities such as urgent diagnoses, integration with EHRs, and personalized care, though concerns about clinical autonomy and tool usability remained [73].

Gellert Katonai, Nora Arvai, Bertalan Mesko

J Med Internet Res 2025;27:e65950


Integrating Mobile Health App Data Into Electronic Medical or Health Record Systems and Its Impact on Health Care Delivery and Patient Health Outcomes: Scoping Review

Integrating Mobile Health App Data Into Electronic Medical or Health Record Systems and Its Impact on Health Care Delivery and Patient Health Outcomes: Scoping Review

The inconsistent findings across studies underscore the need for a review of existing evidence on the integration of m Health and EMR/EHR and health outcomes, in order to obtain insights and develop practical recommendations for health care policy makers, administrators, and providers, guiding the effective implementation of m Health app data integration with EMR/EHR systems.

Jialing Lin, Shona Marie Bates, Luke N Allen, Michael Wright, Limin Mao, Michael Kidd

JMIR Mhealth Uhealth 2025;13:e66650


Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review

Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review

Papers that did not center on a designed CDSS tool or intervention for a health condition or did not discuss the design aspects of the CDSS, such as its design approach, user interface, or integration, were excluded.

Andrew A Bayor, Jane Li, Ian A Yang, Marlien Varnfield

J Med Internet Res 2025;27:e63733


Clinician-Focused Connected Health Requirements Gathering for Attention-Deficit/Hyperactivity Disorder Through Clinical Journey Mapping: Design Science Study

Clinician-Focused Connected Health Requirements Gathering for Attention-Deficit/Hyperactivity Disorder Through Clinical Journey Mapping: Design Science Study

Propose areas where connected health integration can deliver efficiency and substantial gains for CAMHS services. The first research question justifies the use of IPJM to map the Dundee pathway, in the specific context of collaborative connected health systems development.

Richard Harris, Deirdre Murray, Angela McSweeney, Frederic Adam

JMIR Form Res 2025;9:e53617


Impact of a Sensorimotor Integration and Hyperstimulation Program on Global Motor Skills in Moroccan Children With Autism Spectrum Disorder: Exploratory Clinical Quasi-Experimental Study

Impact of a Sensorimotor Integration and Hyperstimulation Program on Global Motor Skills in Moroccan Children With Autism Spectrum Disorder: Exploratory Clinical Quasi-Experimental Study

The field of sensory integration, inspired by the work of Ayres and Robbins [32], offers a valuable approach to improve motor skills in children with neurodevelopmental disorders. This approach hinges on the brain’s ability to organize and interpret information received through the senses (sensory integration). It uses 2 main practices: passive unisensory and active multisensory. Passive unisensory practices involve targeted stimulation of a single sense at a time.

Rachid Touali, Jamal Zerouaoui, El Mahjoub Chakir, Hung Tien Bui, Mario Leone, Maxime Allisse

JMIR Form Res 2025;9:e65767


Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Integrating into the Healthcare Enterprise (IHE) has defined profiles that organize and leverage the aforementioned integration capabilities, containing specific information about diverse clinical needs. IHE profiles should guide the development of AI applications and the definition of integration points and workflows. More recently, Fast Health Care Interoperability Resources–based profiles have enabled semantically interoperable exchange of machine-readable data [21].

Vikash Gupta, Barbaros Erdal, Carolina Ramirez, Ralf Floca, Bradley Genereaux, Sidney Bryson, Christopher Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, Hyeonhoon Lee, M Jorge Cardoso, Sebastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D White, Tessa Cook, David Bericat, Matthew Lungren, Risto Haukioja, Haris Shuaib

JMIR AI 2024;3:e55833


In-Depth Examination of the Functionality and Performance of the Internet Hospital Information Platform: Development and Usability Study

In-Depth Examination of the Functionality and Performance of the Internet Hospital Information Platform: Development and Usability Study

By leveraging existing information systems (eg, hospital information system and picture archiving and communication system) and internet service functionalities, the platform has undergone progressive development and integration, demonstrating initial effectiveness.

Guang-Wei Zhang, Bin Li, Zheng-Min Gu, Wei-Feng Yang, Yi-Ran Wang, Hui-Jun Li, Han-Bing Zheng, Ying-Xu Yue, Kui-Zhong Wang, Mengchun Gong, Da-Xin Gong

J Med Internet Res 2024;26:e54018


Evaluating and Enhancing the Fitness-for-Purpose of Electronic Health Record Data: Qualitative Study on Current Practices and Pathway to an Automated Approach Within the Medical Informatics for Research and Care in University Medicine Consortium

Evaluating and Enhancing the Fitness-for-Purpose of Electronic Health Record Data: Qualitative Study on Current Practices and Pathway to an Automated Approach Within the Medical Informatics for Research and Care in University Medicine Consortium

However, MIRACUM includes 10 university hospitals and further medical research institutions across Germany, all of which instantiate medical Data Integration Centers (DICs). The DICs are crucial in gathering, harmonizing, and integrating clinical data from various source systems, including electronic health records (EHRs), clinical imaging systems, and other health-related databases.

Gaetan Kamdje Wabo, Preetha Moorthy, Fabian Siegel, Susanne A Seuchter, Thomas Ganslandt

JMIR Med Inform 2024;12:e57153