Topical Advisory Panel for section 'Health Informatics and Big Data'
- Artificial Intelligence in Medicine Section
- Chronic Care Section
- Community Care Section
- Coronaviruses (CoV) and COVID-19 Pandemic Section
- Critical Care Section
- Environmental Factors and Global Health Section
- Forensic Medicine Section
- Healthcare Quality and Patient Safety Section
- Health Assessments Section
- Health Policy Section
- Health Informatics and Big Data Section
- Medication Management Section
- Medics Section
- Nursing Section
- Nutrition and Public Health Section
- Pain Management Section
- Perinatal and Neonatal Medicine Section
- Perioperative Care Section
- Preventive Medicine Section
- School Health Section
- TeleHealth and Digital Healthcare Section
- Women's Health Care Section
- Family Medicine Section
Please see the section webpage for more information on this section.
Members
Interests: chemotherapy; immunotherapy; cancer; informatics; pharmacy technology; oncology; hematology; clinical trials; electronic medical records; digital health; breast cancer; thoracic cancer; multiple myeloma; head and neck cancer; prostate cancer; bladder cancer; healthcare economics; technology; policy; artificial intelligence
Interests: interventional radiology; teleradiology; musculoskeletal radiology; interdisciplinary medical networks; healthcare research; AI; data mining
2. Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 3525433, Israel
3. Health Administration Department, The Max Stern Yezreel Valley College, Emek Yezrael 1930600, Israel
Interests: telemedicine; digital health; health disparities
Special Issues, Collections and Topics in MDPI journals
Interests: analysis, design and development of information systems in the clinical setting; analysis and modeling of business processes; identification, collection and analysis of the requirements to determine the properties and functionality of information systems; design and implementation of software architectures; design of conceptual models based on clinical data standards to facilitate interoperability between different information systems; evaluation of health services through the identification and analysis of quality indicators; clinical data warehouse design; standards in healthcare; population health; public health
Interests: health Informatics; health Information systems; medical standards and ontologies; ontology based data integration; ontology guided machine learning; databases and data warehousing