Quality and Reliability Aspects in Evidence Based E-Medicine

2010 ◽  
pp. 100-117
Author(s):  
Asen Atanasov
Keyword(s):  
Patient Safety ◽  
Health Service ◽  
Healthcare Quality ◽  
Medical Professionals ◽  
Evidence Based ◽  
Supporting Evidence ◽  
Present Evidence ◽  
Evidence Strength ◽  
Quality And Reliability ◽  
Based Medicine

This chapter is a brief survey on some e-medicine resources and international definitions focused on the three main subjects of the healthcare quality – the patient, the costs and the evidence for quality. The patients can find in e-medicine everything that they need, but often without data on the supporting evidence. The medical professionals can learn where to find e-information on cost, quality and patient safety, and, more importantly, how to distinguish claims from evidence by applying the principles of evidence based medicine. The goal is to spread and popularize the knowledge in this field with an emphasis on how one can find, assess and utilize the best present evidence for more effective healthcare. The sites discussed below could assist in the retrieval of information about methods for obtaining evidence along with the ways of measuring evidence strength and limitations. These sites also provide information on implementing the ultimate evidence-based product – clinical guidelines for better medical practice and health service.

Quality and Reliability Aspects in Evidence Based E-Medicine

2011 ◽  
pp. 172-189
Author(s):  
Asen Atanasov
Keyword(s):  
Patient Safety ◽  
Health Service ◽  
Healthcare Quality ◽  
Medical Professionals ◽  
Evidence Based ◽  
Supporting Evidence ◽  
Present Evidence ◽  
Evidence Strength ◽  
Quality And Reliability ◽  
Based Medicine

This chapter is a brief survey on some e-medicine resources and international definitions focused on the three main subjects of the healthcare quality – the patient, the costs and the evidence for quality. The patients can find in e-medicine everything that they need, but often without data on the supporting evidence. The medical professionals can learn where to find e-information on cost, quality and patient safety, and, more importantly, how to distinguish claims from evidence by applying the principles of evidence based medicine. The goal is to spread and popularize the knowledge in this field with an emphasis on how one can find, assess and utilize the best present evidence for more effective healthcare. The sites discussed below could assist in the retrieval of information about methods for obtaining evidence along with the ways of measuring evidence strength and limitations. These sites also provide information on implementing the ultimate evidence-based product – clinical guidelines for better medical practice and health service.

Policies, bundles, and protocols in critical care

2016 ◽  
Author(s):  
Jeffrey Mazer ◽  
Mitchell M. Levy
Keyword(s):  
Patient Safety ◽  
Rapid Detection ◽  
Health Care Systems ◽  
Unintended Consequences ◽  
Evidence Based ◽  
Ample Evidence ◽  
Implementation Evaluation ◽  
Care Systems ◽  
Based Medicine ◽  
Medicine Community

Recently, the medicine community has been driven to think about patient safety in new ways, and with this new found interest in patient safety, large health care systems and individual institutions have been forced to develop mechanisms to track and measure performance. There is ample evidence that physicians and systems can do better. The tools of this new craft include checklists, protocols, guidelines, and bundles. These tools help to decrease variability in care and enhance the translation of evidence-based medicine to bedside care. Ongoing measurement of both performance and clinical outcomes is central to this movement. This allows for rapid detection of both successes and possible unintended consequences associated with the rapid translation of evidence into practice. As hospitals and intensive care units (ICU) worldwide have embraced the field of quality improvement (QI), many lessons have been learned about the process. QI includes four essential phases—development, implementation, evaluation, and maintenance. Essential to the QI process and each of these QI phases is that the project must be tailored to each individual ICU and/or Institution. A one-size-fits-all project is less efficient, less effective, and at times unnecessary compare with a locally-driven process.

Exploring the Real World: Medical Librarians' Involvement in Supporting Evidence-Based Medicine (EBM) Practice

2013 ◽  
Author(s):  
Ping Li ◽  
Lin Wu
Keyword(s):  
Data Analysis ◽  
Survey Data ◽  
Real World ◽  
Evidence Based Medicine ◽  
Online Survey ◽  
Evidence Based ◽  
Supporting Evidence ◽  
The Real ◽  
Based Medicine

This paper reports the results of an online survey that explores medical librarians’ roles and activities in supporting EBM practice. More than 500 medical librarians replied to the survey. Data analysis reveals that librarians have been taking on various EBM-related responsibilities both routine by nature and project-related.Cet article présente les résultats d’un sondage en ligne portant sur les rôles et les activités des bibliothécaires du domaine des sciences de la santé pour soutenir les pratiques de médecine fondée sur les preuves (MFP). Plus de 500 bibliothécaires ont répondu au sondage. L’analyse des données révèlent que ces bibliothécaires ont participé à des activités routinières et à des projets relevant du domaine de la MFP. 

scholarly journals How the science of practice will improve evidence-based care

2020 ◽  
Vol 48 (5) ◽  
pp. E7
Author(s):  
Robert E. Harbaugh
Keyword(s):  
Quality Assurance ◽  
Comparative Effectiveness ◽  
Review Article ◽  
Evidence Based ◽  
Effectiveness Research ◽  
Causal Inferences ◽  
Present Evidence ◽  
Based Medicine ◽  
Evidence Based Care ◽  
Quality Improvement Tool

This review article analyzes the present evidence-based medicine (EBM) algorithm, compares it to the science of practice (SOP) algorithm, and demonstrates how the SOP can evolve from a quality assurance and quality improvement tool into a clinical research tool. Using appropriately constructed prospective observational databases (PODs), the SOP algorithm can be used to draw causal inferences from nonrandomized data, perform innovative comparative effectiveness research, and generate reliable information that can be used to guide treatment decisions.

scholarly journals What should medical students know about artificial intelligence in medicine?

2019 ◽  
Vol 16 ◽  
pp. 18 ◽  
Author(s):  
Seong Ho Park ◽  
Kyung-Hyun Do ◽  
Sungwon Kim ◽  
Joo Hyun Park ◽  
Young-Suk Lim
Keyword(s):  
Artificial Intelligence ◽  
Medical Students ◽  
Data Science ◽  
Medical Professionals ◽  
The Internet ◽  
Evidence Based ◽  
The Public ◽  
Correct Information ◽  
The Media ◽  
Based Medicine

Artificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical professionals should be able to resolve any anxiety, confusion, and questions that patients and the public may have. Also, they are responsible for ensuring that AI becomes a technology beneficial for patient care. These make the acquisition of sound knowledge and experience about AI a task of high importance for medical students. Preparing for AI does not merely mean learning information technology such as computer programming. One should acquire sufficient knowledge of basic and clinical medicines, data science, biostatistics, and evidence-based medicine. As a medical student, one should not passively accept stories related to AI in medicine in the media and on the Internet. Medical students should try to develop abilities to distinguish correct information from hype and spin and even capabilities to create thoroughly validated, trustworthy information for patients and the public.

Translating ethical principles into outcome measures for mental health service research

1999 ◽  
Vol 29 (4) ◽  
pp. 761-767 ◽  
Author(s):  
GRAHAM THORNICROFT ◽  
MICHELE TANSELLA
Keyword(s):  
Mental Health ◽  
Mental Health Service ◽  
Health Service ◽  
Outcome Measures ◽  
Evidence Based Medicine ◽  
Health Service Research ◽  
Ethical Principles ◽  
Service Research ◽  
Evidence Based ◽  
Based Medicine

Background. Mental health service research continues to use only outcome measures that are available rather than develop measures that are important. This paper argues that it is necessary to select and then define a set of ethical principles that can be operationalized and validated as outcome measures to provide a wider balance of information for health policy and clinical service decisions.Methods. The method used is to adopt a five stage procedure: (i) to select ethical principles most directly relevant for mental health services and their evaluation at the local level; (ii) to propose definitions of these principles; (iii) to validate these definitions; (iv) to translate the defined principles into operationalized outcome measures; and (v) to use these outcome measures in mental health services research, within the context of evidence-based medicine.Results. We address steps (i) and (ii) of this five-stage procedure. Nine principles are selected and defined: autonomy, continuity, effectiveness, accessibility, comprehensiveness, equity, accountability, coordination and efficiency. These principles can together be referred to as the three ACEs.Conclusions. Of these nine principles, only two (effectiveness and efficiency) have so far been fully translated into quantitative outcome measures, upon which the evidence-based medicine approach depends. We propose that further concepts also be developed into a more complete multi- dimensional range of fully operationalized outcome measures.

Sign in / Sign up

Export Citation Format

Share Document