Achieving patient health outcomes via CME: A case-study in educating oncologists in the treatment of non-small cell lung cancer.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e19104-e19104
Author(s):  
Tom Bregartner

e19104 Background: The Validation Model is an educational series built on the concept of strengthening education by incorporating the patient perspective. After conducting two iterations of the Validation Model to educate oncologists in the treatment of NSCLC, Quintiles Medical Education was able to demonstrate that CME can lead to improved patient health outcomes by changing physician behaviors in practice. Educational measurement tools, including chart audits, revealed an increase in tumor histology and EGFR mutation testing. Histologic and molecular marker testing leads to optimization of treatment based on tumor pathology and genotype, respectively, as per NCCN guidelines. Personalization of treatment according to guidelines results in improved health outcomes. Methods: The Validation Model consisted of 6 educational activities for which efficacy was measured by conducting pre- and post-tests of knowledge and clinical competence among participants. Participants were then asked to complete a follow-up survey which was designed to determine if specific practices had been implemented since participation. The self-self reported behavioral data was validated by the distribution of patient surveys, designed to measure patient satisfaction and expectation with care, and chart audits, designed to determine the actual practice habits of the participating practitioners. Results: More than 500 participants have completed all 6 of the educational activities. The activities have demonstrated improved knowledge and competence in the educational setting and changes to clinical practice and, as a result, patient health outcomes. Conclusions: CME can be used as an effective tool to improve patient health outcomes in the treatment of NSCLC.

Author(s):  
Ellenore D. Meyer ◽  
Johannes F.M. Hugo ◽  
Tessa S. Marcus ◽  
Rebaone Molebatsi ◽  
Kabelo Komana

Background: Integrated care through community-oriented primary care (COPC) deployed through municipal teams of community health workers (CHWs) has been part of health reform in South Africa since 2011. The role of COPC and integration of information and communication technology (ICT) information to improve patient health and access to care, require a better understanding of patient social behaviour. Aim: The study sought to understand how COPC with CHWs visiting households offering health education can support antenatal follow-up and what the barriers for access to care would be. Method: A mixed methodological approach was followed. Quantitative patient data were recorded on an electronic health record-keeping system. Qualitative data collection was performed through interviews of the COPC teams at seven health posts in Mamelodi and telephonic patient interviews. Interviews were analysed according to themes and summarised as barriers to access care from a social and community perspective. Results: An integrated COPC approach increased the number of traceable pregnant women followed up at home from 2016 – 2017. Wrong addresses or personal identification were given at the clinic because of fear of being denied care. Allocating patients correctly to a ward-based outreach team (WBOT) proved to be a challenge as many patients did not know their street address. Conclusion: Patient health data available to a health worker on a smartphone as part of COPC improve patient traceability and follow-up at home making timely referral possible. Health system developments that support patient care on community level could strengthen patient health access and overall health.


2016 ◽  
Vol 41 (3) ◽  
pp. 191-195 ◽  
Author(s):  
Victoria M. Rizzo ◽  
Jeannine M. Rowe ◽  
Gayle Shier Kricke ◽  
Kate Krajci ◽  
Robyn Golden

2021 ◽  
Vol 10 (22) ◽  
pp. 5284
Author(s):  
Michael Feehan ◽  
Leah A. Owen ◽  
Ian M. McKinnon ◽  
Margaret M. DeAngelis

The use of artificial intelligence (AI) and machine learning (ML) in clinical care offers great promise to improve patient health outcomes and reduce health inequity across patient populations. However, inherent biases in these applications, and the subsequent potential risk of harm can limit current use. Multi-modal workflows designed to minimize these limitations in the development, implementation, and evaluation of ML systems in real-world settings are needed to improve efficacy while reducing bias and the risk of potential harms. Comprehensive consideration of rapidly evolving AI technologies and the inherent risks of bias, the expanding volume and nature of data sources, and the evolving regulatory landscapes, can contribute meaningfully to the development of AI-enhanced clinical decision making and the reduction in health inequity.


2020 ◽  
Vol 35 (7) ◽  
pp. 292-294
Author(s):  
Shane Jackson

In early 2019, a report from Australia documented significant data about the harms associated with medication use. This editorial reports on the Australian government's changes to cycles-of-care and telehealth reviews, changes made to improve patient health outcomes, and payment to pharmacists—information that may be useful to other countries.


Author(s):  
Véronique Nabelsi

Healthcare organizations in many countries are compelled to pursue drastic supply cost reductions, while continuing to improve patient health outcomes, as they must meet ever increasing economic and performance pressures brought on by changes in national health policies. As demonstrated in many other industries, these improvements require more integrated Supply Chain Management (SCM) practices, processes, and systems. The author develops a strategic framework for Customer-Oriented or Patient-Driven SCM, integrating the evolving economics of the healthcare industry and the emerging dynamics of global supply chains. The chapter focuses on modern SCM approaches such as agile and lean supply chains, in order to efficiently realign hospitals and their Material Management Systems (MMS) on patient health outcomes.


2017 ◽  
pp. 80-111 ◽  
Author(s):  
Deborah Richards ◽  
Patrina H.Y. Caldwell

This chapter looks at how gamification of existing technology can be used to incorporate the factors that have been found to improve patient adherence. Lack of adherence to medical advice is a major problem because it reduces the likelihood of improved health outcomes and is a waste of costly and scarce resources. To provide intrinsically motivating game mechanics we discuss the use of an embodied virtual character to build an ongoing therapeutic alliance with the patient. Extrinsically motivating game mechanics are added via a game based on the token economy. The intention is to empower, engage and encourage the patient to adhere with the medical advice. A case study is provided for the condition of paediatric incontinence.


2020 ◽  
Vol 34 (1) ◽  
pp. 26-28
Author(s):  
Mike Lapaine

Healthcare institutions have for some time pursued the Triple Aim: improve patient health outcomes, improve patient experience, and reduce costs. More recently, it has been recognized that the “missing piece” of success is to improve the experience of their clinicians in order to improve the three aims. The leadership of Bluewater Health has been using the Quadruple Aim since 2016 and, by working to improve employee engagement, has succeeded in also delivering exemplary care that has improved patient outcomes and experience and reduced costs.


2020 ◽  
Vol 35 (7) ◽  
pp. 292-294
Author(s):  
Shane Jackson

In early 2019, a report from Australia documented significant data about the harms associated with medication use. This editorial reports on the Australian government's changes to cycles-of-care and telehealth reviews, changes made to improve patient health outcomes, and payment to pharmacists—information that may be useful to other countries.


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