A new methodological framework for hazard detection models in health information technology systems
暂无分享,去创建一个
Frank Drews | Hilda B. Klasky | Teja Kuruganti | Jonathan R. Nebeker | Mohammed Olama | Olufemi A. Omitaomu | Merry Ward | Ozgur Ozmen | Laura Pullum | Brian C. Sauer | Jeanie M. Scott | Addi Malviya Thakur | Jean M. Scott | Angela Laurio | T. Kuruganti | J. Nebeker | M. Olama | O. Omitaomu | Laura Pullum | B. Sauer | Ozgur Ozmen | M. Ward | Angela Laurio | Frank Drews | Addi Malviya Thakur
[1] Maria Lucia Specchia,et al. The impact of electronic health records on healthcare quality: a systematic review and meta-analysis. , 2016, European journal of public health.
[2] Julie M. Fiskio,et al. Analysis of clinical decision support system malfunctions: a case series and survey , 2016, J. Am. Medical Informatics Assoc..
[3] Sue E Bowman. Impact of electronic health record systems on information integrity: quality and safety implications. , 2013, Perspectives in health information management.
[4] Robin Williams,et al. Developing and Applying a Formative Evaluation Framework for Health Information Technology Implementations: Qualitative Investigation , 2020, Journal of medical Internet research.
[5] Dean F Sittig,et al. Measuring and improving patient safety through health information technology: The Health IT Safety Framework , 2015, BMJ Quality & Safety.
[6] Tristan Naumann,et al. Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration , 2020, MLHC.
[7] D. Meerzaman,et al. Value of collaboration among multidomain experts in analysis of high-throughput genomics data. , 2019, Cancer research.
[8] Franck Dernoncourt,et al. Behind the scenes: A medical natural language processing project , 2017, Int. J. Medical Informatics.
[9] Hilda B. Klasky,et al. Real-Time Automated Hazard Detection Framework for Health Information Technology Systems , 2019, Health systems.
[10] Michael W. Smith,et al. An analysis of electronic health record-related patient safety concerns , 2014, J. Am. Medical Informatics Assoc..
[11] P. Maurette,et al. [To err is human: building a safer health system]. , 2002, Annales francaises d'anesthesie et de reanimation.
[12] Farah Magrabi,et al. Using FDA reports to inform a classification for health information technology safety problems , 2012, J. Am. Medical Informatics Assoc..
[13] Emmanuel Chazard,et al. Secondary Use of Healthcare Structured Data: The Challenge of Domain-Knowledge Based Extraction of Features , 2018, EFMI-STC.
[14] Clemens Scott Kruse,et al. Health Information Technology Continues to Show Positive Effect on Medical Outcomes: Systematic Review , 2018, Journal of medical Internet research.
[15] Alba Amato,et al. Supporting Hypothesis Generation by Machine Learning in Smart Health , 2017, IMIS.
[16] Walter S. Lasecki,et al. Identifying Challenges and Opportunities in Human-AI Collaboration in Healthcare , 2019, CSCW Companion.
[17] Eric C. Pan,et al. Organizational framework for health information technology , 2013, Int. J. Medical Informatics.
[18] Dean F Sittig,et al. A new sociotechnical model for studying health information technology in complex adaptive healthcare systems , 2010, Quality and Safety in Health Care.
[19] Farah Magrabi,et al. Problems with health information technology and their effects on care delivery and patient outcomes: a systematic review , 2017, J. Am. Medical Informatics Assoc..
[20] Scott D Nelson,et al. Demystifying artificial intelligence in pharmacy. , 2020, American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists.
[21] Anne-Laure Rousseau. Machine Learning Applied to Ultrasound Imaging ? The Next Step in Democratising Medical Imaging , 2019, ERCIM News.
[22] Ali Garavand,et al. Factors influencing the adoption of health information technologies: a systematic review , 2016, Electronic physician.
[23] Hilda B. Klasky,et al. Topic Modeling to Discern Irregular Order Patterns in Unlabeled Electronic Health Records , 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).
[24] John P. A. Ioannidis,et al. Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review , 2017, J. Am. Medical Informatics Assoc..
[25] Katharine T. Adams,et al. Electronic Health Record Usability Issues and Potential Contribution to Patient Harm , 2018, JAMA.
[26] Matthew T Neame,et al. Evaluating health information technologies: A systematic review of framework recommendations , 2020, Int. J. Medical Informatics.
[27] Hille C. Bruns,et al. Working Alone Together: Coordination in Collaboration across Domains of Expertise , 2013 .
[28] Tsipi Heart,et al. A review of PHR, EMR and EHR integration: A more personalized healthcare and public health policy , 2017 .
[29] Catherine Dolbear,et al. Supporting domain experts to construct conceptual ontologies: A holistic approach , 2011, J. Web Semant..
[30] André Kushniruk,et al. Defining a Framework for Health Information Technology Evaluation , 2011, ITCH.
[31] Barbara Prainsack,et al. Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations , 2020, European Radiology.
[32] Wil M. P. van der Aalst,et al. Data Science in Action , 2016 .
[33] Vipin Kumar,et al. Anomaly Detection for Discrete Sequences: A Survey , 2012, IEEE Transactions on Knowledge and Data Engineering.
[34] Process Mining in Healthcare - A Case Study for the Corporate Data Warehouse of the Veterans Affairs Office , 2019 .
[35] Orit Hazzan,et al. The Agile Manifesto , 2014 .
[36] Sebastian Bohl,et al. AI in the treatment of fertility: key considerations , 2020, Journal of Assisted Reproduction and Genetics.
[37] Ross Koppel,et al. The health information technology safety framework: building great structures on vast voids , 2015, BMJ Quality & Safety.
[38] Ben Shneiderman,et al. From Human-Human Collaboration to Human-AI Collaboration: Designing AI Systems That Can Work Together with People , 2020, CHI Extended Abstracts.