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022			_a2509-498X
024	7		_a41666 _2local
210	1	0	_aJ Healthc Inform Res
245	1	0	_aJournal of Healthcare Informatics Research _h[electronic resource] / _cedited by Christopher C. Yang.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer.
300			_bonline resource.
520			_aJournal of Healthcare Informatics Research serves as a publication venue for innovative contributions in computing, with focus on analytics, systems, and human factors research in healthcare informatics. Journal of Healthcare Informatics Research is dedicated to advancing areas such as artificial intelligence (AI), machine learning (ML), foundational principles of computer and information sciences and technology, communication technology to address challenges and problems in healthcare, and everyday wellness. Journal of Healthcare Informatics Research highlights novel, cutting-edge contributions in computing for the healthcare informatics research community. It covers three major tracks: (1) Analytics—focuses on advancing AI/ML-based decision support, generative AI, data analytics, knowledge discovery, and predictive modeling for healthcare research. (2) Systems—focuses on building and deploying novel healthcare informatics systems (e.g., architecture, framework, design, engineering, and application). (3) Human-centered Computing—focuses on intelligent communication with healthcare stakeholders (e.g., doctors, nurses, and patients), adaptive interface design for healthcare systems, user experiences of healthcare informatics applications, and understanding and motivating health behavior. By addressing these areas, the Journal of Healthcare Informatics Research aims to bridge the gap between healthcare and information technology, fostering interdisciplinary collaboration and development of novel methods to improve patient outcomes and public health. Topics include but are not limited to: Analytics: AI/ML-based decision support systems Generative AI for healthcare Safe and trustworthy AI in healthcare Interoperability and data integration Predictive modeling Medical information retrieval Medical natural language processing Smart health and connected health Social media analytics Medical recommender system Disease profiling and personalized treatment Visualization of medical data Intelligent medical devices and sensors Epidemiological surveillance systems and intervention modeling Semantic Web, linked data, and ontology Statistics and quality of medical data Systems: In-home and continuous health monitoring Cybersecurity in healthcare Healthcare software architecture, framework, design, and engineering Electronic health records Healthcare information systems Healthcare workflow management Health systems modeling and simulation Human-Centered Computing: Intelligent healthcare stakeholder communication systems Mixed reality-based healthcare systems Patient engagement and experience in healthcare Usability studies in healthcare User-interface design for medical devices and healthcare software Health service delivery Health games Consumer and clinician health information needs, seeking, sharing, and use Assistive and adaptive ubiquitous computing technologies.
650		0	_aMedical informatics.
650		0	_aData mining.
650		0	_aBiomedical engineering.
650		0	_aBioinformatics.
650		0	_aComputational intelligence.
650	1	4	_aHealth Informatics.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aBiomedical Engineering and Bioengineering.
650	2	4	_aComputational and Systems Biology.
650	2	4	_aComputational Intelligence.
700	1		_aYang, Christopher C. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted version: _x2509-4971
856	4	0	_uhttp://link.springer.com/journal/41666 _zHybrid
999			_c4258 _d4258