Evidence-based and Innovative Treatment Models: Setting the Stage for our Discussions

2011 ◽  
Author(s):  
Nancy K. Young ◽  
Pam Baston ◽  
Sandy Robinson
2020 ◽  
Vol 116 ◽  
pp. 105233
Author(s):  
Tamaki H. Urban ◽  
Thuy Trang T. Nguyen ◽  
Alexandra E. Morford ◽  
Tawny Spinelli ◽  
Zoran Martinovich ◽  
...  

Author(s):  
Srideepti Ramayanam ◽  
G.V.R.K Acharayulu ◽  
V.M. Prasad

Cost based care is evolving as a resolution to address increasing Healthcare costs, and to address the problem of clinical inefficiencies. ‘Cost based care’ therefore is designed to be patient centric. While ‘Cost based care’ helps in addressing the challenge of rising costs and making the care more affordable, it  comes with its own set of challenges for providers as they are paid for better patient outcomes in an evidence based way.  In the regimen of ‘Cost based care’ providers are grappling with reduced reimbursements. Providers are also required to track wide variety of measures to make the care more evidence based. Operations transformation for a healthcare systems means that it makes the processes, efficient, flexible and innovative to suit patient centric treatment models. To achieve this transformation by excluding wastes out of system, make the processes much more efficient, implementation of digital systems across the value chain of the hospital have become the area of focus. Shared Services alteration is a subclass of administrational transformation. It is has a lot of potential to smoke out costs, making operational processes much more efficient by rationalizing functions, like Human Resources, Pathology, Radiology, IT and Supply chain services at Hospitals. Administrational transformation aims to flush out costs, bring transformation in revenue cycle, and focus on Patient centric treatment modules. By implementing data visualization dashboards across the services would enable transparency and trust for patients.


PsycCRITIQUES ◽  
2008 ◽  
Vol 53 (7) ◽  
Author(s):  
Barry A. Schneider ◽  
Kara B. Sheridan ◽  
Angela Kuemmel

2021 ◽  
pp. 1-13
Author(s):  
Bruce M. Cohen ◽  
Dost Öngür ◽  
Suzann M. Babb

Standard diagnostic systems, the predominantly categorical DSM-5 and ICD-11, have limitations in validity, utility, and predictive and descriptive power. For psychotic disorders, these issues were partly addressed in current versions, but additional modifications are thought to be needed. Changes should be evidence based. We reviewed categorical, modified-categorical, and continuum-based models versus factor-based models of psychosis. Factors are clusters of symptoms or single prominent aspects of illness. Consistent evidence from studies of the genetics, pathobiology, and clinical presentation of psychotic disorders all support an underlying structure of factors, not categories, as best characterizing psychoses. Factors are not only the best fit but also comprehensive, as they can encompass any key feature of illness, including symptoms and course, as well as determinants of risk or response. Factors are inherently dimensional, even multidimensional, as are the psychoses themselves, and they provide the detail needed for either grouping or distinguishing patients for treatment decisions. The tools for making factor-based diagnoses are available, reliable, and concordant with actual practices used for clinical assessments. If needed, factors can be employed to create categories similar to those in current use. In addition, they can be used to define unique groupings of patients relevant to specific treatments or studies of the psychoses. Lastly, factor-based classifications are concordant with other comprehensive approaches to psychiatric nosology, including personalized (precision treatment) models and hierarchical models, both of which are currently being explored. Factors might be considered as the right primary structural choice for future versions of standard diagnostic systems, both DSM and ICD.


2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.


2020 ◽  
Vol 29 (4) ◽  
pp. 685-690
Author(s):  
C. S. Vanaja ◽  
Miriam Soni Abigail

Purpose Misophonia is a sound tolerance disorder condition in certain sounds that trigger intense emotional or physiological responses. While some persons may experience misophonia, a few patients suffer from misophonia. However, there is a dearth of literature on audiological assessment and management of persons with misophonia. The purpose of this report is to discuss the assessment of misophonia and highlight the management option that helped a patient with misophonia. Method A case study of a 26-year-old woman with the complaint of decreased tolerance to specific sounds affecting quality of life is reported. Audiological assessment differentiated misophonia from hyperacusis. Management included retraining counseling as well as desensitization and habituation therapy based on the principles described by P. J. Jastreboff and Jastreboff (2014). A misophonia questionnaire was administered at regular intervals to monitor the effectiveness of therapy. Results A detailed case history and audiological evaluations including pure-tone audiogram and Johnson Hyperacusis Index revealed the presence of misophonia. The patient benefitted from intervention, and the scores of the misophonia questionnaire indicated a decrease in the severity of the problem. Conclusions It is important to differentially diagnose misophonia and hyperacusis in persons with sound tolerance disorders. Retraining counseling as well as desensitization and habituation therapy can help patients who suffer from misophonia.


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