scholarly journals Cost-Effectiveness of Robotics and Artificial Intelligence in Healthcare

2019 ◽  
Vol 87 (2) ◽  
pp. 49-51
Author(s):  
Caroline Rose Piccininni
Keyword(s):  
Artificial Intelligence ◽  
Cost Effectiveness ◽  
Clinical Decision Making ◽  
New Technologies ◽  
Clinical Decision ◽  
Medical Procedures ◽  
Short Term ◽  
Diagnosis And Prognosis ◽  
Widespread Implementation

New technologies, especially those based in robotics and artificial intelligence, have potential to vastly change how healthcare is delivered from managing patient information to diagnosis and prognosis to performing medical procedures. Such technologies are constantly being developed, trialed, and implemented and thus, many have yet to be investigated in terms of long-term costs and effects. Using robot-assisted prostatectomy as an example, this article explores how new technologies are often associated with high initial costs and positive short-term effects but their long-term cost-effectiveness remains unknown. This idea has important implications for widespread implementation of new technologies and for clinical decision making.

What are the real risks of sport-related concussion, and are they modifiable?

2009 ◽  
Vol 15 (4) ◽  
pp. 512-520 ◽  
Author(s):  
CHRISTOPHER RANDOLPH ◽  
MICHAEL W. KIRKWOOD
Keyword(s):  
Clinical Decision Making ◽  
Management Strategies ◽  
Clinical Decision ◽  
Adverse Outcomes ◽  
American Football ◽  
Health Concern ◽  
Short Term ◽  
Concussion Management ◽  
Baseline Testing

AbstractOver the past two decades, the management of sport-related concussion has been the topic of increased attention in the scientific literature and in the popular media. Despite a proliferation of competing guidelines for concussion management, the widespread use of neuropsychological “baseline” testing designed to monitor postinjury recovery, and several prospective controlled studies of the natural history of concussion, there has been virtually no attempt to quantify the risks associated with sport-related concussion or to determine whether these risks are modifiable via management strategies. Using American football as a model, the short- and long-term risks of sport-related concussion are reviewed. It is concluded that serious short-term consequences of sport-related concussion are extremely rare and unlikely to be significantly modified via management strategies that rely on baseline testing. Other less serious short-term adverse outcomes are also quite rare, transient, and not likely to be altered by specific management guidelines. The long-term consequences of multiple sport-related head trauma remain unclear but are potentially of greater public health concern and should be the focus of increased research. Based on available evidence, there is little rationale for the use of rigid strategies or guidelines in the place of individual clinical decision-making in the management of these injuries. (JINS, 2009, 15, 512–520.)

Artificial intelligence in modern medicine- evolving necessity of the present and role in transforming the future of medical care (Preprint)

2020 ◽  
Author(s):  
Pradnya Brijmohan Bhattad ◽  
Vinay Jain
Keyword(s):  
Artificial Intelligence ◽  
Clinical Decision Making ◽  
Computer Systems ◽  
Clinical Decision ◽  
Modern Medicine ◽  
Machine Learning Techniques ◽  
Diagnostic Systems ◽  
Diagnosis And Prognosis ◽  
Digital World ◽  
Artificial Intelligence Technology

UNSTRUCTURED The dexterity of computer systems to resemble and mimic human intelligence is artificial intelligence. Artificial intelligence has reformed the diagnostic and therapeutic precision and competence in various fields of medicine. Artificial intelligence appears to play a bright role in the medical diagnosis. Computer systems using artificial intelligence help in assessment of medical images and enormous data. This research aims to identify how the artificial intelligence-based technology is reforming the art of medicine. Artificial intelligence empowers providers in improving efficiency and overall healthcare. Newer machine learning techniques lead the automatic diagnostic systems. Areas of medicine such as medical imaging, automated clinical decision-making support have made significant advances with respect to artificial intelligence technology. With improved diagnosis and prognosis, artificial intelligence possesses the capability to revolutionize various fields of medicine. Artificial intelligence has its own limitations and cannot replace a bedside clinician. In the evolving modern medical digital world, physicians need to support artificial intelligence rather than fear it replacing trained physicians for improved healthcare.

scholarly journals A day in the life: a qualitative study of clinical decision-making and uptake of neurorehabilitation technology

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Courtney Celian ◽  
Veronica Swanson ◽  
Maahi Shah ◽  
Caitlin Newman ◽  
Bridget Fowler-King ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
New Technologies ◽  
Clinical Decision ◽  
Relative Advantage ◽  
Personal Attributes ◽  
Design Work ◽  
Cognitive Limitations ◽  
Knowledge And Beliefs ◽  
Cord Injury

Abstract Background Neurorehabilitation engineering faces numerous challenges to translating new technologies, but it is unclear which of these challenges are most limiting. Our aim is to improve understanding of rehabilitation therapists’ real-time decision-making processes on the use of rehabilitation technology (RT) in clinical treatment. Methods We used a phenomenological qualitative approach, in which three OTs and two PTs employed at a major, technology-encouraging rehabilitation hospital wrote vignettes from a written prompt describing their RT use decisions during treatment sessions with nine patients (4 with stroke, 2 traumatic brain injury, 1 spinal cord injury, 1 with multiple sclerosis). We then coded the vignettes using deductive qualitative analysis from 17 constructs derived from the RT literature and the Consolidated Framework for Implementation Research (CFIR). Data were synthesized using summative content analysis. Results Of the constructs recorded, the five most prominent are from CFIR determinants of: (i) relative advantage, (ii) personal attributes of the patients, (iii) clinician knowledge and beliefs of the device/intervention, (iv) complexity of the devices including time and setup, and (v) organizational readiness to implement. Therapists characterized candidate RT as having a relative disadvantage compared to conventional treatment due to lack of relevance to functional training. RT design also often failed to consider the multi-faceted personal attributes of the patients, including diagnoses, goals, and physical and cognitive limitations. Clinicians’ comfort with RT was increased by their previous training but was decreased by the perceived complexity of RT. Finally, therapists have limited time to gather, setup, and use RT. Conclusions Despite decades of design work aimed at creating clinically useful RT, many lack compatibility with clinical translation needs in inpatient neurologic rehabilitation. New RT continue to impede the immediacy, versatility, and functionality of hands-on therapy mediated treatment with simple everyday objects.

scholarly journals Cost-effectiveness of a hybrid emergency room system for severe trauma: a health technology assessment from the perspective of the third-party payer in Japan

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Takahiro Kinoshita ◽  
Kensuke Moriwaki ◽  
Nao Hanaki ◽  
Tetsuhisa Kitamura ◽  
Kazuma Yamakawa ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Emergency Room ◽  
Healthcare Costs ◽  
Cost Effective ◽  
Severe Trauma ◽  
Third Party ◽  
Trauma Patients ◽  
Short Term ◽  
The Third

Abstract Background Hybrid emergency room (ER) systems, consisting of an angiography-computed tomography (CT) machine in a trauma resuscitation room, are reported to be effective for reducing death from exsanguination in trauma patients. We aimed to investigate the cost-effectiveness of a hybrid ER system in severe trauma patients without severe traumatic brain injury (TBI). Methods We conducted a cost-utility analysis comparing the hybrid ER system to the conventional ER system from the perspective of the third-party healthcare payer in Japan. A short-term decision tree and a long-term Markov model using a lifetime time horizon were constructed to estimate quality-adjusted life years (QALYs) and associated lifetime healthcare costs. Short-term mortality and healthcare costs were derived from medical records and claims data in a tertiary care hospital with a hybrid ER. Long-term mortality and utilities were extrapolated from the literature. The willingness-to-pay threshold was set at $47,619 per QALY gained and the discount rate was 2%. Deterministic and probabilistic sensitivity analyses were conducted. Results The hybrid ER system was associated with a gain of 1.03 QALYs and an increment of $33,591 lifetime costs compared to the conventional ER system, resulting in an ICER of $32,522 per QALY gained. The ICER was lower than the willingness-to-pay threshold if the odds ratio of 28-day mortality was < 0.66. Probabilistic sensitivity analysis indicated that the hybrid ER system was cost-effective with a 79.3% probability. Conclusion The present study suggested that the hybrid ER system is a likely cost-effective strategy for treating severe trauma patients without severe TBI.

scholarly journals ImmunoCAP® ISAC and Microtest for multiplex allergen testing in people with difficult to manage allergic disease: a systematic review and cost analysis

2016 ◽  
Vol 20 (67) ◽  
pp. 1-178 ◽  
Author(s):  
Marie Westwood ◽  
Bram Ramaekers ◽  
Shona Lang ◽  
Nigel Armstrong ◽  
Caro Noake ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cost Effectiveness ◽  
Conference Proceedings ◽  
Citation Index ◽  
Clinical Effectiveness ◽  
Short Term ◽  
Cost Analyses ◽  
Immunocap Isac

BackgroundAllergy is a form of immune-mediated exaggerated sensitivity (hypersensitivity) to a substance that is either inhaled, swallowed, injected or comes into contact with the skin. Foreign substances that provoke allergies are called allergens. It has been claimed that multiplex allergen testing may help in diagnosing the cause of symptoms in patients with an unclear cause of allergy or who are allergic to more than one substance.ObjectivesTo evaluate multiplex allergen testing [devices that can measure the presence of multiple immunoglobulin E (IgE) antibodies in a patient’s blood at the same time], by assessing (1) clinical effectiveness (allergy symptoms, incidence of acute exacerbations, mortality, adverse events of testing and treatment, health-care presentations or admissions, health-related quality of life); (2) effects on treatment (diet, immunotherapy medications, other potential testing); (3) any additional diagnostic information provided by multiplex allergen testing; and (4) cost-effectiveness (cost of different assessment strategies).MethodsFifteen databases were searched from 2005 to April 2015, including MEDLINE (via OvidSp), MEDLINE In-Process Citations, MEDLINE Daily Update, PubMed (National Library of Medicine), EMBASE, Cochrane Database of Systematic Reviews (CDSR), Cochrane Central Register of Controlled Trials (CENTRAL), Database of Abstracts of Reviews of Effects (DARE), Health Technology Assessment (HTA) database, Science Citation Index (SCI), Conference Proceedings Citation Index-Science (CPCI-S), BIOSIS Previews, Latin American and Caribbean Health Sciences Literature (LILACS), National Institute for Health Research (NIHR) HTA programme, and the US Food and Drug Administration (FDA); supplementary searches of conference proceedings and trials registries were performed. Review methods followed published guidance from the Cochrane Collaboration and the Centre for Reviews and Dissemination, University of York, UK. The methodological quality of included studies was assessed using appropriate published tools or a review-specific tool designed by the project team. Studies were summarised in a narrative synthesis. Owing to a lack of data on the clinical effectiveness of multiplex allergen testing, no long-term cost-effectiveness model was developed. A conceptual model structure was developed and cost analyses were performed to examine the short-term costs of various possible diagnostic pathways.ResultsFifteen studies were included in the review. The very limited available data indicated that the addition of multiplex allergen testing [ImmunoCAP®Immuno Solid-phase Allergen Chip (ISAC), Thermo Fisher Scientific/Phadia AB, Uppsala, Sweden] to standard diagnostic work-up can change the clinicians’ views on the diagnosis, management and treatment of patients. There was some indication that the use of ImmunoCAP ISAC testing may be useful to guide decisions on the discontinuation of restrictive diets, the content of allergen-specific immunotherapy (SIT) prescriptions, and whether or not patients should receive SIT. However, none of the studies that we identified reported any information on clinical outcomes subsequent to changes in treatment or management. There was some evidence that ImmunoCAP ISAC may be useful for discriminating allergens that are structurally similar and are recognised by the same IgE antibody (cross-immunoreactive). No data were available for Microtest (Microtest Matrices Ltd, London, UK). Detailed cost analyses suggested that multiplex allergen testing would have to result in a substantial reduction of the proportions of patients receiving single IgE testing and oral food challenge tests in order to be cost-saving in the short term.ConclusionsNo recommendations for service provision can be made based on the analyses included in this report. It is suggested that a consensus-based protocol for the use of multiplex allergen testing be developed. The clinical effectiveness and cost-effectiveness of the proposed protocol should then be assessed by comparing long-term clinical and quality of life outcomes and resource use in patients managed using the protocol with those managed using a standard diagnostic pathway.Study registrationThis study is registered as PROSPERO CRD42015019739.FundingThis project was a Diagnostic Assessment Report commissioned by the NIHR HTA programme on behalf of the National Institute for Health and Care Excellence.

scholarly journals Ondansetron use is associated with lower COVID-19 mortality in a Real-World Data network-based analysis

2021 ◽  
Author(s):  
Gregory M Miller ◽  
Austin J Ellis ◽  
Rangaprasad Sarangarajan ◽  
Amay Parikh ◽  
Leonardo O Rodrigues ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Real World ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Long Term Effects ◽  
Real World Data ◽  
World Data ◽  
Antiemetic Agent ◽  
Future Loss ◽  
Selection Operator

Objective: The COVID-19 pandemic generated a massive amount of clinical data, which potentially holds yet undiscovered answers related to COVID-19 morbidity, mortality, long term effects, and therapeutic solutions. The objective of this study was to generate insights on COVID-19 mortality-associated factors and identify potential new therapeutic options for COVID-19 patients by employing artificial intelligence analytics on real-world data. Materials and Methods: A Bayesian statistics-based artificial intelligence data analytics tool (bAIcis®) within Interrogative Biology® platform was used for network learning, inference causality and hypothesis generation to analyze 16,277 PCR positive patients from a database of 279,281 inpatients and outpatients tested for SARS-CoV-2 infection by antigen, antibody, or PCR methods during the first pandemic year in Central Florida. This approach generated causal networks that enabled unbiased identification of significant predictors of mortality for specific COVID-19 patient populations. These findings were validated by logistic regression, regression by least absolute shrinkage and selection operator, and bootstrapping. Results: We found that in the SARS-CoV-2 PCR positive patient cohort, early use of the antiemetic agent ondansetron was associated with increased survival in mechanically ventilated patients. Conclusions: The results demonstrate how real world COVID-19 focused data analysis using artificial intelligence can generate valid insights that could possibly support clinical decision-making and minimize the future loss of lives and resources.

scholarly journals Opioid Analgesia: Perspectives on Right Use and Utility

2007 ◽  
Vol 3;10 (5;3) ◽  
pp. 479-491 ◽  
Author(s):  
Jane C. Ballantyne
Keyword(s):  
Quality Of Life ◽  
Chronic Pain ◽  
Side Effects ◽  
Clinical Decision Making ◽  
Analgesic Efficacy ◽  
Clinical Decision ◽  
Opioid Analgesia ◽  
Opioid Treatment

The ability of opioids to effectively and safely control acute and cancer pain has been one of several arguments used to support extending opioid treatment to patients with chronic pain, against a backdrop of considerable caution that has been based upon fears of addiction. Of course, opioids may cause addiction, but the “principle of balance” may justify that “…efforts to address abuse should not interfere with legitimate medical practice and patient care.” Yet, situations are increasingly encountered in which opioid-maintained patients are refractory to analgesia during periods of pain, or even during the course of chronic treatment. The real question is whether analgesic efficacy of opioids can be maintained over time. Overall, the evidence supporting long-term analgesic efficacy is weak. The putative mechanisms for failed opioid analgesia may be related to tolerance or opioid-induced hyperalgesia. Advances in basic sciences may help in understanding these phenomena, but the question of whether long-term opioid treatment can improve patients’ function or quality of life remains a broader issue. Opioid side effects are well known, but with chronic use, most (except constipation) subside. Still, side effects can negatively affect the outcomes and continuity of therapy. This paper addresses 1) what evidence supports the long-term utility of opioids for chronic pain; 2) how side effects may alter quality of life; 3) the nature of addiction and why it is different in pain patients, and 4) on what grounds could pain medication be denied? These questions are discussed in light of patients’ rights, and warrant balancing particular responsibilities with risks. These are framed within the Hippocratic tradition of “producing good for the patient and protecting from harm,” so as to enable 1) more informed clinical decision making, and 2) progress towards right use and utility of opioid treatment for chronic pain. Key Words: Opioids, chronic pain, addiction, side effects, utility, ethics

scholarly journals Blood transfusion prescribing in the ACT: an insight into clinical decision making

2005 ◽  
Vol 29 (2) ◽  
pp. 240 ◽  
Author(s):  
Philip J Crispin ◽  
Bethany J Crowe ◽  
Anne M McDonald
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Early Discharge ◽  
Organisation Of Care ◽  
Metropolitan Hospital ◽  
Loss Of Appetite ◽  
Insight Into ◽  
Structured Questionnaire

This study aimed to determine the perspectives of a group of patients categorised as ?long-stay outliers? at a large South Australian metropolitan hospital about aspects of organisation of care and the perceived impact of long-term hospitalisation. Nineteen patients were interviewed using a semi-structured questionnaire. Eighty-nine percent of participants stated that they had no knowledge of how long they were to be in hospital. Forty-two percent indicated that they did not know when they would be discharged from hospital. This was of concern, especially considering the vulnerability of this patient group and the known benefits of patient involvement in decision making and the improvements this can make to health outcomes and early discharge. Participants indicated concern about sleep deprivation, diet, ability to return to paid employment, and missing their family as the main areas of impact of their long hospitalisation. Concerns about being discharged from hospital included: apprehension as to whether they were well enough to leave; the recurrence of infection; whether they would be able to sleep well when they got home; their recent loss of appetite and associated weight loss; mobility concerns; and what supports they would have when they were discharged home. All these issues require staff to be more patient and family-centred in their approach to preparing for discharge.

scholarly journals ACADEMIA’S ROLE TO DRIVE CHANGE IN THE ORTHOTICS AND PROSTHETICS PROFESSION

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Géza Kogler ◽  
Christopher Hovorka
Keyword(s):  
Technology Use ◽  
Clinical Training ◽  
Clinical Decision Making ◽  
New Technologies ◽  
Clinical Care ◽  
Clinical Decision ◽  
The United States ◽  
Academic Program ◽  
Number Of Patients ◽  
Curricular Emphasis

This position paper outlines the important role of academia in shaping the orthotics and prosthetics (O&P) profession and preparing for its future. In the United States, most healthcare professions including O&P are under intense pressure to provide cost effective treatments and quantifiable health outcomes. Pivotal changes are needed in the way O&P services are provided to remain competitive. This will require the integration of new technologies and data driven processes that have the potential to streamline workflows, reduce errors and inform new methods of clinical care and device manufacturing. Academia can lead this change, starting with a restructuring in academic program curricula that will enable the next generation of professionals to cope with multiple demands such as the provision of services for an increasing number of patients by a relatively small workforce of certified practitioners delivering these services at a reduced cost, with the expectation of significant, meaningful, and measurable value. Key curricular changes will require replacing traditional labor-intensive and inefficient fabrication methods with the integration of newer technologies (i.e., digital shape capture, digital modeling/rectification and additive manufacturing). Improving manufacturing efficiencies will allow greater curricular emphasis on clinical training and education – an area that has traditionally been underemphasized. Providing more curricular emphasis on holistic patient care approaches that utilize systematic and evidence-based methods in patient assessment, treatment planning, dosage of O&P technology use, and measurement of patient outcomes is imminent. Strengthening O&P professionals’ clinical decision-making skills and decreasing labor-intensive technical fabrication aspects of the curriculum will be critical in moving toward a digital and technology-centric practice model that will enable future practitioners to adapt and survive. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/36673/28349 How To Cite: Kogler GF, Hovorka CF. Academia’s role to drive change in the orthotics and prosthetics profession. Canadian Prosthetics & Orthotics Journal. 2021; Volume 4, Issue 2, No.21. https://doi.org/10.33137/cpoj.v4i2.36673 Corresponding Author: Géza F. KoglerOrthotics and Prosthetics Unit, Kennesaw State University.E-Mail: [email protected] ID: https://orcid.org/0000-0003-0212-5520

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