Health Informatics and Co-Innovation: Connecting Patients, Clinical Practice, and Technology

2020 ◽  
pp. 101-125
Author(s):  
Jérôme Galbrun
Keyword(s):  
Clinical Practice ◽  
Health Informatics

Development and implementation of a multitiered health informatics curriculum in a college of pharmacy

2016 ◽  
Vol 23 (4) ◽  
pp. 844-847 ◽  
Author(s):  
Elizabeth A Breeden ◽  
Kevin A Clauson
Keyword(s):  
Clinical Practice ◽  
Health Informatics ◽  
Core Competencies ◽  
Health Professions ◽  
Pharmacy Education ◽  
Pharmacy Students ◽  
Advanced Training ◽  
Accreditation Council ◽  
The Us ◽  
Training Opportunities

Abstract Standards requiring education in informatics in pharmacy curricula were introduced in the last 10 years by the Accreditation Council for Pharmacy Education. Mirroring difficulties faced by other health professions educators, implementation of these requirements remains fragmented and somewhat limited across colleges of pharmacy in the US. Clinical practice and workforce metrics underline a pronounced need for clinicians with varying competencies in health informatics. In response to these challenges, a multitiered health informatics curriculum was developed and implemented at a college of pharmacy in the Southeast. The multitiered approach is structured to ensure that graduating pharmacists possess core competencies in health informatics, while providing specialized and advanced training opportunities for pharmacy students, health professions students, and working professionals interested in a career path in informatics. The approach described herein offers institutions, administrators, faculty, residents, and students an adaptable model for selected or comprehensive adoption and integration of a multitiered health informatics curriculum.

What Are Complex eHealth Innovations and How Do You Measure Them?

2015 ◽  
Vol 54 (04) ◽  
pp. 319-327 ◽  
Author(s):  
U. Hübner
Keyword(s):  
Clinical Practice ◽  
Health Informatics ◽  
Position Paper ◽  
Three Dimensions ◽  
Fourth Dimension ◽  
Measurement Instruments ◽  
Sociocultural Change ◽  
Stakeholder Perspectives ◽  
Complex Matter ◽  
Degree Of Innovation

SummaryObjectives: eHealth and innovation are often regarded as synonyms – not least because eHealth technologies and applications are new to their users. This position paper challenges this view and aims at exploring the nature of eHealth innovation against the background of common definitions of innovation and facts from the biomedical and health informatics literature. A good understanding of what constitutes innovative eHealth developments allows the degree of innovation to be measured and interpreted.Methods: To this end, relevant biomedical and health informatics literature was searched mainly in Medline and ACM digital library. This paper presents seven facts about implementing and applying new eHealth developments hereby drawing on the experience published in the literature.Results: The facts are: 1. eHealth innovation is relative. 2. Advanced clinical practice is the yardstick. 3. Only used and usable eHealth technology can give birth to eHealth innovatio. 4. One new single eHealth function does not make a complex eHealth innovation. 5. eHealth innovation is more evolution than revolution. 6. eHealth innovation is often triggered behind the scenes; and 7. There is no eHealth innovation without sociocultural change.Conclusions: The main conclusion of the seven facts is that eHealth innovations have many ingredients: newness, availability, advanced clinical practice with proven outcomes, use and usability, the supporting environment, other context factors and the stakeholder perspectives. Measuring eHealth innovation is thus a complex matter. To this end we propose the development of a composite score that expresses comprehensively the nature of eHealth innovation and that breaks down its complexity into the three dimensions: i) eHealth adoption, ii) partnership with advanced clinical practice, and iii) use and usability of eHealth. In order to better understand the momentum and mechanisms behind eHealth innovation the fourth dimension, iv) eHealth supporting services and means, needs to be studied. Conceptualising appropriate measurement instruments also requires eHealth innovation to be distinguished from eHealth sophistication, performance and quality, although innovation is intertwined with these concepts. The demanding effort for defining eHealth innovation and measuring it properly seem worthwhile and promise advances in creating better systems. This paper thus intends to stimulate the necessary discussion.

scholarly journals Use of Population-Based Health Informatics Research to Improve Care for Patients with Cardiovascular Diseases

Diseases ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 47
Author(s):  
Ify R. Mordi ◽  
Magalie Guignard-Duff ◽  
Christopher Hall ◽  
Benjamin Jaa Ming New ◽  
Chim C. Lang
Keyword(s):  
Clinical Practice ◽  
Health Informatics ◽  
Renin Angiotensin System ◽  
Population Based ◽  
Angiotensin System ◽  
Chronic Heart Disease ◽  
Clinical Scenarios ◽  
Patients With Diabetes ◽  
Prescribing Practice ◽  
Ras Blockers

There are common clinical scenarios in chronic heart disease where no randomized controlled data exist to guide management, and it is likely that well-designed observational studies will have to be used to inform clinical practice. Showing the clinical applicability of this type of study design, using record linkage of population electronic health records, we have provided key observational evidence that use of renin–angiotensin-system (RAS) blockers is associated with better outcomes in patients with aortic stenosis and that metformin could be used safely as an antiglycemic drug in patients with diabetes and heart failure. Each of these pieces of underpinning research has made a major contribution to relevant international clinical practice guidelines, helped the Food and Drug Administration in their decision making and changed prescribing practice.

scholarly journals Health Informatics via Machine Learning for the Clinical Management of Patients

2015 ◽  
Vol 24 (01) ◽  
pp. 38-43 ◽  
Author(s):  
K. E. Niehaus ◽  
P. Charlton ◽  
G. W. Colopy ◽  
D. A. Clifton
Keyword(s):  
Machine Learning ◽  
Clinical Practice ◽  
Clinical Management ◽  
Health Informatics ◽  
Close Collaboration ◽  
High Profile ◽  
Machine Learning Methods ◽  
Substantial Progress ◽  
Profile Field ◽  
Made In

Summary Objectives: To review how health informatics systems based on machine learning methods have impacted the clinical management of patients, by affecting clinical practice. Methods: We reviewed literature from 2010-2015 from databases such as Pubmed, IEEE xplore, and INSPEC, in which methods based on machine learning are likely to be reported. We bring together a broad body of literature, aiming to identify those leading examples of health informatics that have advanced the methodology of machine learning. While individual methods may have further examples that might be added, we have chosen some of the most representative, informative exemplars in each case. Results: Our survey highlights that, while much research is taking place in this high-profile field, examples of those that affect the clinical management of patients are seldom found. We show that substantial progress is being made in terms of methodology, often by data scientists working in close collaboration with clinical groups. Conclusions: Health informatics systems based on machine learning are in their infancy and the translation of such systems into clinical management has yet to be performed at scale.

The miR-21 potential of serving as a biomarker for liver diseases in clinical practice

2020 ◽  
Vol 48 (5) ◽  
pp. 2295-2305
Author(s):  
Jiawei Zhang ◽  
Dandan Li ◽  
Rui Zhang ◽  
Peng Gao ◽  
Rongxue Peng ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Liver Diseases ◽  
Hepatic Disease ◽  
Noninvasive Detection ◽  
Diagnosis And Prognosis ◽  
Expected Performance ◽  
Potential Biomarker ◽  
Disease Condition ◽  
Complex Regulatory Network

The role of miR-21 in the pathogenesis of various liver diseases, together with the possibility of detecting microRNA in the circulation, makes miR-21 a potential biomarker for noninvasive detection. In this review, we summarize the potential utility of extracellular miR-21 in the clinical management of hepatic disease patients and compared it with the current clinical practice. MiR-21 shows screening and prognostic value for liver cancer. In liver cirrhosis, miR-21 may serve as a biomarker for the differentiating diagnosis and prognosis. MiR-21 is also a potential biomarker for the severity of hepatitis. We elucidate the disease condition under which miR-21 testing can reach the expected performance. Though miR-21 is a key regulator of liver diseases, microRNAs coordinate with each other in the complex regulatory network. As a result, the performance of miR-21 is better when combined with other microRNAs or classical biomarkers under certain clinical circumstances.

Meeting the Best Practice for Hearing Aid Verification in Children: Challenges and Future Directions

2019 ◽  
Vol 28 (4) ◽  
pp. 877-894
Author(s):  
Nur Azyani Amri ◽  
Tian Kar Quar ◽  
Foong Yen Chong
Keyword(s):  
Clinical Practice ◽  
Hearing Aids ◽  
Best Practice ◽  
Hearing Aid ◽  
Evidence Based ◽  
Future Directions ◽  
Major Barrier ◽  
Klang Valley ◽  
Age Range ◽  
Fitting Hearing Aids

Purpose This study examined the current pediatric amplification practice with an emphasis on hearing aid verification using probe microphone measurement (PMM), among audiologists in Klang Valley, Malaysia. Frequency of practice, access to PMM system, practiced protocols, barriers, and perception toward the benefits of PMM were identified through a survey. Method A questionnaire was distributed to and filled in by the audiologists who provided pediatric amplification service in Klang Valley, Malaysia. One hundred eight ( N = 108) audiologists, composed of 90.3% women and 9.7% men (age range: 23–48 years), participated in the survey. Results PMM was not a clinical routine practiced by a majority of the audiologists, despite its recognition as the best clinical practice that should be incorporated into protocols for fitting hearing aids in children. Variations in practice existed warranting further steps to improve the current practice for children with hearing impairment. The lack of access to PMM equipment was 1 major barrier for the audiologists to practice real-ear verification. Practitioners' characteristics such as time constraints, low confidence, and knowledge levels were also identified as barriers that impede the uptake of the evidence-based practice. Conclusions The implementation of PMM in clinical practice remains a challenge to the audiology profession. A knowledge-transfer approach that takes into consideration the barriers and involves effective collaboration or engagement between the knowledge providers and potential stakeholders is required to promote the clinical application of evidence-based best practice.

Hybrid Telecoaching for Corporate Speech Training and Potential Applications to Clinical Practice

2019 ◽  
Vol 4 (2) ◽  
pp. 322-324
Author(s):  
Thomas F. Burke
Keyword(s):  
Clinical Practice ◽  
Engineering Teams ◽  
Corporate Strategies ◽  
Corporate Speech ◽  
Phone Calls ◽  
Future Clinical Practice ◽  
Fortune 100 ◽  
Potential Applications ◽  
Language Pathology ◽  
Development Engineering

Purpose The purpose of this article was to describe a model for “hybrid speech telecoaching” developed for a Fortune 100 organization and offer a “thought starter” on how clinicians might think of applying these corporate strategies within future clinical practice. Conclusion The author contends in this article that corporate telecommunications and best practices gleaned from software development engineering teams can lend credibility to e-mail, messaging apps, phone calls, or other emerging technology as viable means of hybrid telepractice delivery models and offer ideas about the future of more scalable speech-language pathology services.

What Does Evidence-Based Practice Mean to You? A Follow-Up Study Examining School-Based Speech-Language Pathologists' Perspectives on Evidence-Based Practice

2020 ◽  
Vol 29 (2) ◽  
pp. 688-704
Author(s):  
Katrina Fulcher-Rood ◽  
Anny Castilla-Earls ◽  
Jeff Higginbotham
Keyword(s):  
Clinical Practice ◽  
Research Evidence ◽  
Evidence Based Practice ◽  
Evidence Based ◽  
Clinical Expertise ◽  
Speech Language Pathologists ◽  
School Based ◽  
Research Findings ◽  
Ebp Implementation

Purpose The current investigation is a follow-up from a previous study examining child language diagnostic decision making in school-based speech-language pathologists (SLPs). The purpose of this study was to examine the SLPs' perspectives regarding the use of evidence-based practice (EBP) in their clinical work. Method Semistructured phone interviews were conducted with 25 school-based SLPs who previously participated in an earlier study by Fulcher-Rood et al. 2018). SLPs were asked questions regarding their definition of EBP, the value of research evidence, contexts in which they implement scientific literature in clinical practice, and the barriers to implementing EBP. Results SLPs' definitions of EBP differed from current definitions, in that SLPs only included the use of research findings. SLPs seem to discuss EBP as it relates to treatment and not assessment. Reported barriers to EBP implementation were insufficient time, limited funding, and restrictions from their employment setting. SLPs found it difficult to translate research findings to clinical practice. SLPs implemented external research evidence when they did not have enough clinical expertise regarding a specific client or when they needed scientific evidence to support a strategy they used. Conclusions SLPs appear to use EBP for specific reasons and not for every clinical decision they make. In addition, SLPs rely on EBP for treatment decisions and not for assessment decisions. Educational systems potentially present other challenges that need to be considered for EBP implementation. Considerations for implementation science and the research-to-practice gap are discussed.

Issues in Language Sample Collection and Analysis With Children Using AAC

2014 ◽  
Vol 23 (2) ◽  
pp. 65-74 ◽  
Author(s):  
Gail Van Tatenhove
Keyword(s):  
Clinical Practice ◽  
Augmentative And Alternative Communication ◽  
Language Production ◽  
Expressive Language ◽  
Sample Analysis ◽  
Alternative Communication ◽  
Sample Collection ◽  
Speech Language Pathologists ◽  
Language Sample Analysis ◽  
Language Sample

Language sample analysis is considered one of the best methods of evaluating expressive language production in speaking children. However, the practice of language sample collection and analysis is complicated for speech-language pathologists working with children who use augmentative and alternative communication (AAC) devices. This article identifies six issues regarding use of language sample collection and analysis in clinical practice with children who use AAC devices. The purpose of this article is to encourage speech-language pathologists practicing in the area of AAC to utilize language sample collection and analysis as part of ongoing AAC assessment.

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