A local search heuristic for nurse assignment problems with personal preferences Autores Maria Valéria de Carvalho André Universidade Federal do Vale do São Francisco https://lnkd.in/dfbK9d4Y Hedivigem Luana Rodrigues da Silva Universidade Federal de Campina Grande Yuri Laio Teixeira Veras Silva Universidade Federal de Campina Grande https://lnkd.in/dW7r-f4N DOI: https://lnkd.in/d4y_knru Palavras-chave: Hospital Administration, Heuristics, Local Search Resumo Recently, research into healthcare optimization has experienced exponential growth, arousing significant interest from researchers and healthcare organizations. This increase in interest is driven by the complexity and relevance of the challenges faced by society, and is directly related to the growing need to improve processes and the search for greater efficiency in healthcare systems on a global scale. The aim of this study is to develop an optimization approach, based on computational heuristic, to perform the planning and assignment of nurse professionals in hospital sectors in order to maximize both the personal preferences of the professionals and the efficiency of health care services. The proposed method uses a heuristic optimization algorithm based on local search with solution perturbation mechanisms and efficient search neighbourhoods. The computational results showed that the method could perform efficient assignments of nursing professionals in hospital sectors, optimizing job satisfaction and quality of service provided. In conclusion, the study evidenced that the developed method allows efficient management and assignment of nurse professionals in hospital settings, achieving scientific and practical contributions to the areas of healthcare optimization and hospital administration. Biografia do Autor Maria Valéria de Carvalho André, Universidade Federal do Vale do São Francisco Graduanda em Engenharia de Produção pela Universidade Federal do Vale do São Francisco. Hedivigem Luana Rodrigues da Silva, Universidade Federal de Campina Grande Graduanda em Engenharia de Produção pela Universidade Federal de Campina Grande. Yuri Laio Teixeira Veras Silva, Universidade Federal de Campina Grande Professor Adjunto na Unidade de Engenharia de Produção da Universidade Federal de Campina Grande. Tem experiência nas grandes áreas de Engenharia de Produção, especialmente em pesquisa operacional e simulação, gestão da produção, análise de investimentos, logística e cadeia de suprimentos, com foco na implementação de ferramentas de apoio à tomada de decisão, fundamentadas principalmente em abordagens de programação inteira mista, não-linear, modelos estocásticos, meta-heurísticas, inteligência artificial e abordagens de simulação computacional.
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#hiring Hospitalist - Physician, Minneapolis, United States, fulltime #jobs #jobseekers #careers #Minneapolisjobs #Minnesotajobs #HealthcareMedical Apply: https://lnkd.in/gg6MFipz Location: Various Locations In an era where artificial intelligence is reshaping the medical landscape, the future of medicine holds both unpredictable challenges and exciting possibilities. The integration of AI in clinical practice is a frontier yet to be fully explored, and it's essential to prepare for the evolving physician labor market. Our initiative aims to provide physicians with the insight and skills to navigate these imminent changes. Description: We're looking for forward-thinking Internal Medicine Physicians to join our progressive team. This role extends beyond traditional medical duties, offering a unique chance to ponder about the possible changes that are coming. The program will provide milieux to learn about the basics of the principles underlying A.I. to predict the possible outcomes. Phases will involve developing electronic health records that incorporate A.I. I will also involve an entrepreneurship curriculum, where physicians will have a chance to form a company or own practice. It will also afford opportunities to mentor and train the next generation of healthcare professionals for a future intertwined with AI and technology. Key Responsibilities: Deliver superior patient care in internal medicine. Acquisition of necessary knowledge for assigned projects. Develop and lead health informatics, artificial intelligence, and entrepreneurship training programs. Qualifications: A genuine interest in the evolving role of medicine in the age of artificial intelligence. Ideally suited for physicians seeking to expand their knowledge in information technology and business aspects of healthcare. A background in information technology is NOT required. In fact, this program is to provide tools for any physician who wants to prepare for the future. Benefits: A groundbreaking opportunity to be at the forefront of integrating technology and entrepreneurship in medical training. Company-provided lodging and travel arrangements. An environment that encourages innovation and forward-thinking in medical practice. This position is an excellent fit for Internal Medicine physicians eager to explore the intersection of healthcare and advanced technology. If you are dedicated to advancing your clinical expertise while shaping the future of medicine through education and innovation, we encourage you to apply. Curriculum Overview: Our program is designed to equip physicians with a blend of computer science, artificial intelligence, health informatics, and business skills relevant to the evolving landscape of healthcare technology. The three-year curriculum is structured as follows: Year 1: Foundations Basic Computer Science: Introduction to fundamental concepts and programming. Basic Probab
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[PDF] Nursing Informatics 2020: Towards Defining our own Future - Proceedings of NI2006 Post Congress Conference, Volume 128 Studies in Health Technology and Informatics Peter J. Murray, Hyeou-Ae Park, W. Scott Erdley, Jenongeum Kim digsell https://lnkd.in/eQ4afFV8 The authors contributing to this publication recognize the role of changing technologies in the way care is being supported and delivered in the future, but they also clearly demonstrate that technology is only one part of the equation, and that many other factors must be borne in mind. The need to explore not only the visible and predictable future, but also the less likely scenarios that may suddenly be thrust to the forefront of our attentions are acknowledged. Different combinations of the technologies can offer possibilities for more than one solution. The exchange of ideas that is reflected in this … Read More » https://lnkd.in/e4WZf3KE
[PDF] Nursing Informatics 2020: Towards Defining our own Future – Proceedings of NI2006 Post Congress Conference, Volume 128 Studies in Health Technology and Informatics Peter J. Murray, Hyeou-Ae Park, W. Scott Erdley, Jenongeum Kim -
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We need new Value-based Care models for Academic Medical Centers. The views are mine. Scrolling down my LinkedIn feeds a couple of days ago, I saw a post by Dawn Alley commenting on a recently published Health Affairs article, "Why is it so hard for academic medical centers to succeed in value-based care?" by Bob Kocher and Robert Wachter [1]. The authors of the paper state that many AMCs still rely on their Fee-for-Service (FFS) revenues. They analyze that AMCs cannot easily change their clinical workflows and economic relationships with their specialists and PCPs. With the rapidly shrinking FFS rates, the paper put out two paths ahead of AMCs; either 1) AMCs expand and embrace primary care resources and innovate in VBC, or 2) stick to FFS and demise. Like Dawn Alley, I agree with 99% of the authors' insightful analysis. For her 1%, she pointed out that these AMCs are non-profit institutions, and they shouldn't optimize everything for dollars [2]. In my case, I would like to step back a bit and ask a slightly different question. When the paper said AMCs are not succeeding in VBC, it was referring to ACO, "a" primary-care-driven total-cost-of-care-focused VBC model. However, VBC can have many different forms. For example, Hospital Readmissions Reduction Program (HRRP, although not perfect and needs improvements) is a VBC program where many hospitals showed reduced readmissions [3]. As the authors suggested, having AMCs embrace more primary care functions and take a significant role in ACO is a tough yet viable path. I think AMCs should really consider this option. However, at the same time, we should also question if the total cost of care would be the "only" metric for AMCs to achieve true values. 𝐖𝐞 𝐬𝐡𝐨𝐮𝐥𝐝 𝐚𝐬𝐤 𝐨𝐮𝐫 𝐩𝐨𝐥𝐢𝐜𝐲𝐦𝐚𝐤𝐞𝐫𝐬 𝐭𝐨 𝐜𝐨𝐦𝐞 𝐮𝐩 𝐰𝐢𝐭𝐡 𝐧𝐞𝐰 𝐕𝐁𝐂 𝐦𝐨𝐝𝐞𝐥𝐬 𝐭𝐡𝐚𝐭 𝐝𝐨 𝐧𝐨𝐭 𝐝𝐞𝐭𝐞𝐫 𝐭𝐡𝐞 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐚𝐧𝐝 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡-𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐧𝐚𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐌𝐂𝐬 𝐰𝐡𝐢𝐥𝐞 𝐚𝐜𝐡𝐢𝐞𝐯𝐢𝐧𝐠 𝐭𝐡𝐞 𝐭𝐫𝐢𝐩𝐥𝐞 𝐚𝐢𝐦𝐬 𝐨𝐟 𝐕𝐁𝐂. As the authors say, it is not totally AMCs' fault. Maybe all the popular VBC models didn't quite accommodate AMCs much yet. [1] https://lnkd.in/g5Vje4AK [2] https://lnkd.in/gZ5UjyiG [3] https://lnkd.in/gMgusXJT #valuebasedcare #healthcareinnovation #healthcareanalytics #healthcaretechnology #readmissions #hospitalreadmissions #hrrp #aco
Why is it so hard for academic medical centers to succeed in value-based care?
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Great article by the American Journal of Nursing (AJN) and Jacob A Molyneux on the use of AI and how it impacts nursing practice and patient care. It is essential for nurses to be involved in the development of AI-based tools and algorithms to ensure they are designed with both the clinician and patient in mind. This article drives that point home, and I appreciate input from leaders like Robbie Freeman who are shaping innovation at their institution. #ArtificialIntelligence #Nursing #DigitalHealth #CDS #Automation #MachineLearning #AIethics
I am honored to have contributed to an article in the American Journal of Nursing (AJN) by Jacob A Molyneux on AI and Nursing. Nurses are both excited and cautious about the growing role of AI in healthcare. Here are a few takeaways: 📈 AI offers remarkable potential in areas such as: - Decision support tools - Documentation automation - Telehealth 🚧 However, challenges persist, including: - Privacy concerns - Data bias - Clinical workflow integration - Regulatory and ethical oversight It’s essential for nurses to engage actively in AI development and implementation. Current education systems must adapt to prepare healthcare staff for the AI-enabled future. AI is here to stay, but its successful integration into healthcare depends on clinicians' input, ethical considerations, and an evolving educational framework. 🔗 Let's discuss: How can nurses and other healthcare providers take an active role in shaping the future of AI in healthcare? #HealthcareAI #DigitalTransformation #Nursing #EthicsinAI #AIinHealthcare 👇 Share your thoughts in the comments!
Artificial Intelligence and Nursing: Promise and Precaution : AJN The American Journal of Nursing
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