Algorithm Crucial Health Care Decisions
Listing Websites about Algorithm Crucial Health Care Decisions
Algorithm Bias and Racial and Ethnic Disparities in Health and …
(8 days ago) WebAcknowledging these challenges is crucial for ensuring that the integration of AI in healthcare aligns with the objectives of equity and safety: Health care algorithms, defined as mathematical models used to inform decision-making, are …
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2812958
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Algorithmic Bias in Health Care Exacerbates Social Executive and
(1 days ago) WebIn their 2019 paper in Journal of Global Health “Artificial intelligence and algorithmic bias: implications for health systems,” Panch, Mattie, and Rifat Atun define algorithmic bias as the application of an algorithm that compounds existing inequities in socioeconomic status, race, ethnic background, religion, gender, disability, or sexual
https://www.hsph.harvard.edu/ecpe/how-to-prevent-algorithmic-bias-in-health-care/
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The role of health care algorithms in racial bias, inequity - Penn …
(7 days ago) WebThe researchers defined algorithms as mathematical equations that combined various data points and inputs, such as sex and age, to inform clinical care. Algorithms are embedded throughout health care, Siddique said, to help providers make complex clinical decisions, such as whether a patient should be diagnosed with a …
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Health Care Algorithms Can Improve or Worsen Disparities
(3 days ago) WebIn recent years, artificial intelligence has reached many parts of health care, and other health care algorithms are now part of everyday practice in clinical care, resource allocations, and health care management. Diagnostic and predictive algorithms have become popular because they enable automation of common tasks and provide …
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Ideal algorithms in healthcare: Explainable, dynamic, precise
(3 days ago) WebBeyond the training and testing autonomy shared by all unsupervised machine learning algorithms, autonomous algorithms in healthcare can be implemented with minimal input by users. Manual data entry by the end user imposes time constraints that hinder the clinical application of nonautonomous decision support algorithms . For …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754299/
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Algorithms Are Making Decisions About Health Care, …
(6 days ago) WebIn 2019, a bombshell study found that a clinical algorithm many hospitals were using to decide which patients need care was showing racial bias — Black patients had to be deemed much sicker than white …
https://www.aclu.org/news/privacy-technology/algorithms-in-health-care-may-worsen-medical-racism
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‘Nobody is catching it’: Algorithms used in health care …
(Just Now) Webadvertisement. Researchers at the University of Chicago found that pervasive algorithmic bias is infecting countless daily decisions about how patients are treated by hospitals, insurers, and
https://www.statnews.com/2021/06/21/algorithm-bias-playbook-hospitals/
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How Health Care Algorithms and AI Can Help and Harm
(5 days ago) WebWhen we think of potentially dangerous, unseen challenges to public health, pathogens and toxins often come to mind. But algorithms—formulas that do everything from suggesting Netflix shows to presenting Google results—are increasingly used in health care settings, and could be amplifying harmful biases and exacerbating health disparities.
https://publichealth.jhu.edu/2023/how-health-care-algorithms-and-ai-can-help-and-harm
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Algorithmic fairness in artificial intelligence for medicine and …
(Just Now) WebWith the proliferation of AI algorithms in healthcare, there are growing ethical concerns regarding the disparate impact that the models may have on under-represented communities 1,2,3,4,5,6,7,8
https://www.nature.com/articles/s41551-023-01056-8
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The Impact of Health Care Algorithms on Racial and Ethnic …
(8 days ago) WebBackground: There is increasing concern for the potential impact of health care algorithms on racial and ethnic disparities. Purpose: To examine the evidence on how health care algorithms and associated mitigation strategies affect racial and ethnic disparities. Data Sources: Several databases were searched for relevant studies …
https://www.acpjournals.org/doi/10.7326/M23-2960
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MILLIONS AFFECTED BY RACIAL BIAS IN HEALTH-CARE …
(1 days ago) WebHEALTH-CARE ALGORITHM By Heidi Ledford A n algorithm widely used in US hospi - tals to allocate health care to patients has been systematically discriminat - ing against black people, a sweeping analysis has found. The study, published in Science on 24 Octo - ber, concluded that the algorithm was less likely to refer black people than white people
https://media.nature.com/original/magazine-assets/d41586-019-03228-6/d41586-019-03228-6.pdf
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Addressing bias in big data and AI for health care: A call for open
(3 days ago) WebArtificial intelligence (AI) has an astonishing potential in assisting clinical decision making and revolutionizing the field of health care. A major open challenge that AI will need to address before its integration in the clinical routine is that of algorithmic bias. Most AI algorithms need big datasets to learn from, but several groups of
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515002/
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Evaluating clinical algorithms for fairness - The Conversation
(9 days ago) WebBiased algorithms in health care can lead to inaccurate diagnoses and delayed treatment. Deciding which variables to include to achieve fair health outcomes depends on how you approach fairness.
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Tackling Racially Biased Health Care Algorithms - Bill of Health
(9 days ago) WebBy Hannah Rahim. Algorithms used in health care have the potential to improve health outcomes but are susceptible to racial bias, which can have detrimental consequences for minority populations.. Federal, state, and municipal governments have taken steps towards halting the use of racially biased health care algorithms, but more …
https://blog.petrieflom.law.harvard.edu/2023/10/05/tackling-racially-biased-health-care-algorithms/
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Ethical limitations of algorithmic fairness solutions in health care
(3 days ago) WebArtificial intelligence has exposed pernicious bias within health data that constitutes substantial ethical threat to the use of machine learning in medicine.1,2 Solutions of algorithmic fairness have been developed to create neutral models: models designed to produce non-discriminatory predictions by constraining bias with respect to predicted …
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30065-0/fulltext
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Full article: Algorithms for Ethical Decision-Making in the Clinic: A
(6 days ago) WebThe main challenge in setting up algorithms, especially in the health-care sector, is to ensure that they neither amplify existing biases nor introduce novel ones (Char, Shah, and Magnus Citation 2018; Vollmer et al. Citation 2020). Mehrabi et al. (Citation 2019) uncover no less than 23 different types of potential biases.
https://www.tandfonline.com/doi/full/10.1080/15265161.2022.2040647
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On the ethics of algorithmic decision-making in healthcare
(6 days ago) WebIn recent years, a plethora of high-profile scientific publications has been reporting about machine learning algorithms outperforming clinicians in medical diagnosis or treatment recommendations. This has spiked interest in deploying relevant algorithms with the aim of enhancing decision-making in healthcare. In this paper, we argue that instead of …
https://jme.bmj.com/content/46/3/205
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Clinical artificial intelligence quality improvement: towards …
(Just Now) WebTo ensure the long-term reliability and effectiveness of AI/ML-based clinical algorithms, it is crucial that we utilize AI algorithms in their decision Health Care Inform. 27, e100183
https://www.nature.com/articles/s41746-022-00611-y
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Health care algorithms can make racial inequities worse while …
(9 days ago) WebPublished May 9, 2024, 10:58 a.m. ET. University of Pennsylvania researchers undertook the most comprehensive review yet on the algorithms that doctors and health systems use to help make decisions on patient care and whether they contribute to long-standing racial biases in health care. Their wide-ranging review of more than five dozen studies
https://www.inquirer.com/health/racial-bias-algorithm-health-care-20240509.html
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When a 'Wildly Irrational' Algorithm Makes Crucial Healthcare …
(1 days ago) WebWhen a 'Wildly Irrational' Algorithm Makes Crucial Healthcare Decisions. (theguardian.com) 38. "Thousands of disabled and elderly people in more than a dozen states have had to fight against decisions made by an algorithm to get the support services they need to remain in their homes instead of being institutionalized," reports …
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The potential for artificial intelligence to transform healthcare
(Just Now) WebArtificial intelligence (AI) has the potential to transform care delivery by improving health outcomes, patient safety, and the affordability and accessibility of high-quality care. AI will be
https://www.nature.com/articles/s41746-024-01097-6
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Harnessing the Power of AI: A Comprehensive Review of Its Impact …
(4 days ago) WebThey play a crucial role in evaluating the ethical implications of AI in healthcare, assessing AI algorithms and models, and offering guidance on ethical decisions related to patient care. Ethics committees can provide invaluable insights into complex ethical dilemmas, ensuring that AI systems in healthcare align with the highest …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10744168/
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Beyond algorithms: Building trust in AI for healthcare
(5 days ago) WebWe are in the midst of a digital healthcare evolution. Artificial intelligence (AI) is no longer a promise, but a reality set to transform patient care. However, we need to balance new technologies with trust, safety and strong governance. The potential applications of AI in healthcare are vast and promising.
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Evaluating Explainable Machine Learning Models for Clinicians
(Just Now) WebExplaining decisions of machine learning algorithms is a crucial yet difficult objective, and clear evaluation strategies are needed to assess the relative quality of explanation methods. Explainability, often called interpretability [ 11 , 12 ], is a flourishing field as machines, which learn from data, may make good decisions for obscure reasons.
https://link.springer.com/article/10.1007/s12559-024-10297-x
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Role of machine learning algorithms in suicide risk prediction: a
(2 days ago) WebObjective Suicide is a complex and multifactorial public health problem. Understanding and addressing the various factors associated with suicide is crucial for prevention and intervention efforts. Machine learning (ML) could enhance the prediction of suicide attempts. Method A systematic review was performed using PubMed, Scopus, …
https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02524-0
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Can algorithms help judges make decisions? - Courthouse News …
(3 days ago) WebInstead, when judges use algorithms as guides, "typically these algorithms tell judges to be more lenient," she added. Troublingly, "there are studies that show that judges only listen to algorithms for white defendants." Ultimately, O'Neil says the debate of when arrestees should be jailed or released is a philosophical and political one.
https://www.courthousenews.com/can-algorithms-help-judges-make-decisions/
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Members in Action: Improve Quality & Patient Outcomes
(7 days ago) Webvalue-based strategies to improve health care affordability. This includes work to redesign the delivery system, manage risk and new payment models, improve quality and outcomes, and implement operational solutions. Overview. Grady Health System uses artificial intelligence and predictive analytics to provide proactive care management
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ICU - HealthManagement.org
(4 days ago) Webrounds, and direct communication is crucial towards its successful completion. Critical care pharmacists assist clinicians with pharmacotherapy decision-making and dosing. They also play a crucial role in reduc-ing medication errors and improving medi-cation safety by identifying drug-drug inter - actions and assuring appropriate initiation
https://healthmanagement.org/uploads/article_attachment/icu-v17-i2-nugent-successfulrounds.pdf
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Leveraging graph neural networks for supporting automatic
(Just Now) WebHealthcare professionals must make unbiased decisions based on clinical urgency and the potential for benefit from medical intervention rather than factors like financial status, age, or social
https://www.nature.com/articles/s41598-024-63376-2
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OB/GYN or Midwife: Understanding Your Prenatal Care Options
(4 days ago) WebOB/GYNs are medical doctors who specialize in women’s reproductive health, including pregnancy, childbirth, and postpartum care. They have typically completed four years of medical school, four years of a residency, and a three-year fellowship. OB/GYNs are surgically trained to perform c-sections and can provide care for high-risk pregnancies.
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NORTH ATLANTA PRIMARY CARE, P.C., NPI 1235296054 - NPI Profile
(7 days ago) WebAbout NORTH ATLANTA PRIMARY CARE, P.C. North Atlanta Primary Care, P.c. is a primary care provider established in Alpharetta, Georgia operating as a Family Medicine.The healthcare provider is registered in the NPI registry with number 1235296054 assigned on January 2007. The practitioner's primary taxonomy code is …
https://npiprofile.com/npi/1235296054
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