scholarly journals Use of EHR-Based Pediatric Quality Measures: Views of Health System Leaders and Parents

2019 ◽  
Vol 35 (2) ◽  
pp. 177-185
Author(s):  
David M. Hartley ◽  
Susannah Jonas ◽  
Daniel Grossoehme ◽  
Amy Kelly ◽  
Cassandra Dodds ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health System ◽  
Health Care Quality ◽  
Quality Measures ◽  
Care Quality ◽  
Quality Data ◽  
High Confidence ◽  
System Leaders ◽  
Using Data

Measures of health care quality are produced from a variety of data sources, but often, physicians do not believe these measures reflect the quality of provided care. The aim was to assess the value to health system leaders (HSLs) and parents of benchmarking on health care quality measures using data mined from the electronic health record (EHR). Using in-context interviews with HSLs and parents, the authors investigated what new decisions and actions benchmarking using data mined from the EHR may enable and how benchmarking information should be presented to be most informative. Results demonstrate that although parents may have little experience using data on health care quality for decision making, they affirmed its potential value. HSLs expressed the need for high-confidence, validated metrics. They also perceived barriers to achieving meaningful metrics but recognized that mining data directly from the EHR could overcome those barriers. Parents and HSLs need high-confidence health care quality data to support decision making.

Implementing Health Care Quality Measures in Electronic Health Records: A Conceptual Model

2021 ◽  
Author(s):  
Claire M. Campbell ◽  
Daniel R. Murphy ◽  
George E. Taffet ◽  
Anita B. Major ◽  
Christine S. Ritchie ◽  
...  
Keyword(s):  
Health Care ◽  
Electronic Health Records ◽  
Conceptual Model ◽  
Health Care Quality ◽  
Quality Measures ◽  
Care Quality ◽  
Health Records ◽  
Electronic Health

scholarly journals Quality indicators of dental health care in Serbia

2019 ◽  
Vol 66 (1) ◽  
pp. 36-42
Author(s):  
Svetlana Jovanović ◽  
Maja Milošević ◽  
Irena Aleksić-Hajduković ◽  
Jelena Mandić
Keyword(s):  
Health Care ◽  
Quality Improvement ◽  
Health System ◽  
Quality Indicators ◽  
Health Care Quality ◽  
Care Quality ◽  
System Quality ◽  
Quality Health Care ◽  
Quality Health

Summary Health care has witnessed considerable progresses toward quality improvement over the past two decades. More precisely, there have been global efforts aimed to improve this aspect of health care along with experts and decision-makers reaching the consensus that quality is one of the most significant dimensions and features of health system. Quality health care implies highly efficient resource use in order to meet patient’s needs in terms of prevention and treatment. Quality health care is provided in a safe way while meeting patients’ expectations and avoiding unnecessary losses. The mission of continuous improvement in quality of care is to achieve safe and reliable health care through mutual efforts of all the key supporters of health system to protect patients’ interests. A systematic approach to measuring the process of care through quality indicators (QIs) poses the greatest challenge to continuous quality improvement in health care. Quality indicators are quantitative indicators used for monitoring and evaluating quality of patient care and treatment, continuous professional development (CPD), maintaining waiting lists, patients and staff satisfaction, and patient safety.

scholarly journals Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert) (Preprint)

2020 ◽  
Author(s):  
Paul Kengfai Wan ◽  
Abylay Satybaldy ◽  
Lizhen Huang ◽  
Halvor Holtskog ◽  
Mariusz Nowostawski
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Scoping Review ◽  
Health Care Quality ◽  
Research Question ◽  
Clinical Decision ◽  
Care Quality ◽  
Alert Fatigue ◽  
Low Level ◽  
Future Work

BACKGROUND Clinical decision support (CDS) is a tool that helps clinicians in decision making by generating clinical alerts to supplement their previous knowledge and experience. However, CDS generates a high volume of irrelevant alerts, resulting in alert fatigue among clinicians. Alert fatigue is the mental state of alerts consuming too much time and mental energy, which often results in relevant alerts being overridden unjustifiably, along with clinically irrelevant ones. Consequently, clinicians become less responsive to important alerts, which opens the door to medication errors. OBJECTIVE This study aims to explore how a blockchain-based solution can reduce alert fatigue through collaborative alert sharing in the health sector, thus improving overall health care quality for both patients and clinicians. METHODS We have designed a 4-step approach to answer this research question. First, we identified five potential challenges based on the published literature through a scoping review. Second, a framework is designed to reduce alert fatigue by addressing the identified challenges with different digital components. Third, an evaluation is made by comparing MedAlert with other proposed solutions. Finally, the limitations and future work are also discussed. RESULTS Of the 341 academic papers collected, 8 were selected and analyzed. MedAlert securely distributes low-level (nonlife-threatening) clinical alerts to patients, enabling a collaborative clinical decision. Among the solutions in our framework, Hyperledger (private permissioned blockchain) and BankID (federated digital identity management) have been selected to overcome challenges such as data integrity, user identity, and privacy issues. CONCLUSIONS MedAlert can reduce alert fatigue by attracting the attention of patients and clinicians, instead of solely reducing the total number of alerts. MedAlert offers other advantages, such as ensuring a higher degree of patient privacy and faster transaction times compared with other frameworks. This framework may not be suitable for elderly patients who are not technology savvy or in-patients. Future work in validating this framework based on real health care scenarios is needed to provide the performance evaluations of MedAlert and thus gain support for the better development of this idea. CLINICALTRIAL

scholarly journals Need for Comprehensive Health Care Quality Measures for Older Adults

2018 ◽  
Vol 21 (4) ◽  
pp. 296-302 ◽  
Author(s):  
Stephanie MacLeod ◽  
Kay Schwebke ◽  
Kevin Hawkins ◽  
Joann Ruiz ◽  
Emma Hoo ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Health Care Quality ◽  
Quality Measures ◽  
Care Quality ◽  
Comprehensive Health Care ◽  
Comprehensive Health

Advancing health care quality and safety through action learning

2017 ◽  
Vol 30 (2) ◽  
pp. 148-158 ◽  
Author(s):  
Simon Mathews ◽  
Sherita Golden ◽  
Renee Demski ◽  
Peter Pronovost ◽  
Lisa Ishii
Keyword(s):  
Health Care ◽  
Health System ◽  
Health Care Quality ◽  
Design Methodology ◽  
Action Learning ◽  
Care Quality ◽  
Quality And Safety ◽  
Content Type ◽  
Learning Health System ◽  
Academic Medical

Purpose The purpose of this study is to demonstrate how action learning can be practically applied to quality and safety challenges at a large academic medical health system and become fundamentally integrated with an institution’s broader approach to quality and safety. Design/methodology/approach The authors describe how the fundamental principles of action learning have been applied to advancing quality and safety in health care at a large academic medical institution. The authors provide an academic contextualization of action learning in health care and then transition to how this concept can be practically applied to quality and safety by providing detailing examples at the unit, cross-functional and executive levels. Findings The authors describe three unique approaches to applying action learning in the comprehensive unit-based safety program, clinical communities and the quality management infrastructure. These examples, individually, provide discrete ways to integrate action learning in the advancement of quality and safety. However, more importantly when combined, they represent how action learning can form the basis of a learning health system around quality and safety. Originality/value This study represents the broadest description of action learning applied to the quality and safety literature in health care and provides detailed examples of its use in a real-world context.

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