Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?
暂无分享,去创建一个
Yunfeng Shi | Cheryl L. Damberg | Shira H. Fischer | Robert S. Rudin | Paul Shekelle | Alejandro Amill-Rosario | Dennis P. Scanlon | P. Shekelle | R. Rudin | D. Scanlon | C. Damberg | S. Fischer | Yunfeng Shi | A. Amill-Rosario
[1] D F Sittig,et al. Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision , 2016, Yearbook of Medical Informatics.
[2] P. Shekelle,et al. Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state , 2019, JAMIA open.
[3] H. Mcdonald,et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.
[4] D. Baumgart,et al. An overview of clinical decision support systems: benefits, risks, and strategies for success. , 2020, NPJ digital medicine.
[5] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[6] C. Ranganathan,et al. Key Factors Affecting the Adoption of Telemedicine by Ambulatory Clinics: Insights from a Statewide Survey. , 2020, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[7] Viswanath Venkatesh,et al. Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..
[8] D. Levin,et al. The Overuse of Diagnostic Imaging and the Choosing Wisely Initiative , 2012, Annals of Internal Medicine.
[9] Ilia Semenov,et al. Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support , 2019, International journal of environmental research and public health.
[10] Mara Gorli,et al. Barriers and facilitators to the uptake of computerized clinical decision support systems in specialty hospitals: protocol for a qualitative cross-sectional study , 2014, Implementation Science.
[11] Julia Adler-Milstein,et al. Are all certified EHRs created equal? Assessing the relationship between EHR vendor and hospital meaningful use performance , 2018, J. Am. Medical Informatics Assoc..
[13] T. Daim,et al. Healthcare Technology Innovation Adoption , 2016 .
[14] Qing Zeng-Treitler,et al. Automated alerts and reminders targeting patients: A review of the literature. , 2016, Patient education and counseling.
[15] Guilherme Del Fiol,et al. Evaluating common data models for use with a longitudinal community registry , 2016, J. Biomed. Informatics.
[16] Robert A. Greenes,et al. Clinical decision support models and frameworks: Seeking to address research issues underlying implementation successes and failures , 2017, J. Biomed. Informatics.
[17] Adam Wright,et al. Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study , 2012, BMC Medical Informatics and Decision Making.
[18] P. Shekelle,et al. Health information technology for ambulatory care in health systems. , 2020, The American journal of managed care.
[19] Spencer S. Jones,et al. Health Information Technology: An Updated Systematic Review With a Focus on Meaningful Use , 2014, Annals of Internal Medicine.
[20] Sarah P. Slight,et al. On the alert: future priorities for alerts in clinical decision support for computerized physician order entry identified from a European workshop , 2013, BMC Medical Informatics and Decision Making.
[21] Sangeeta C. Ahluwalia,et al. What Defines a High-Performing Health Care Delivery System: A Systematic Review. , 2017, Joint Commission journal on quality and patient safety.
[22] Farah Magrabi,et al. Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications , 2019, Yearbook of Medical Informatics.
[23] Marc Berg,et al. Overriding of drug safety alerts in computerized physician order entry. , 2006, Journal of the American Medical Informatics Association : JAMIA.
[24] Eric Zapletal,et al. A Fast Healthcare Interoperability Resources (FHIR) layer implemented over i2b2 , 2017, BMC Medical Informatics and Decision Making.
[25] D. Agniel,et al. Understanding U.S. Health Systems: Using Mixed Methods to Unpack Organizational Complexity , 2019, EGEMS.
[26] Bruce J. Hillman,et al. The uncritical use of high-tech medical imaging. , 2010, The New England journal of medicine.
[27] Jonathan M. Teich,et al. Grand challenges in clinical decision support , 2008, J. Biomed. Informatics.
[28] R. Dolin,et al. A Pharmacogenomics Clinical Decision Support Service Based on FHIR and CDS Hooks , 2018, Methods of Information in Medicine.
[29] Chen Wen,et al. Extending an open-source tool to measure data quality: case report on Observational Health Data Science and Informatics (OHDSI) , 2020, BMJ Health & Care Informatics.
[30] Á. Soriano,et al. Artificial intelligence to support clinical decision-making processes , 2019, EBioMedicine.
[31] Kai Zheng,et al. Medication safety alert fatigue may be reduced via interaction design and clinical role tailoring: a systematic review , 2019, J. Am. Medical Informatics Assoc..
[32] David T. Marc,et al. Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis , 2018, JMIR medical informatics.
[33] R Brian Haynes,et al. Computerized clinical decision support systems for chronic disease management: A decision-maker-researcher partnership systematic review , 2011, Implementation science : IS.
[34] Philip J. Kroth,et al. Physician stress and burnout: the impact of health information technology , 2018, J. Am. Medical Informatics Assoc..
[35] Valerie A. Lewis,et al. Landscape of Health Systems in the United States , 2020, Medical care research and review : MCRR.