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Relevant bibliographies by topics / Smart healthcare tool

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Academic literature on the topic 'Smart healthcare tool'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Smart healthcare tool"

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Luo, Qi. "Research on smart health monitoring tool." Applied and Computational Engineering 6, no. 1 (2023): 359–67. http://dx.doi.org/10.54254/2755-2721/6/20230808.

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The following project comprehensively discusses a cloud-based health monitoring system that can collect patients health parameters. The data is then transmitted to the internet, where healthcare personnel can access it. The logic behind the project is that data can be transmitted and accessed on a platform on the internet. Thus, facilitating ease of coordination between patients and practitioners. The topic is an intelligent monitoring health tool that collects and transmits data to the cloud. The research method, in this case, combines a literature study and statistical analysis of the collec

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Zhao, X., and B. Ge. "An indicator framework for assessing the readiness of hospital in the smart healthcare transformation." IOP Conference Series: Earth and Environmental Science 1101, no. 7 (2022): 072010. http://dx.doi.org/10.1088/1755-1315/1101/7/072010.

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Abstract The technical and management issues that existed in traditional healthcare institutions, such as relatively lagging technologies, untimely information, have received increasing attention. In recent decades, the reconstruction or transformation of smart healthcare system has emerged as a new research trend. Especially with the outbreak of the COVID-19 epidemic, the smart healthcare system realizes the timely allocation of medical resources and sharing of information. Therefore, this paper aims to develop an indicator framework for assessing the hospital’s readiness in transforming towa

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Gagliardi, Anna Roberta, and Francesco Albergo. "The rise of smart healthcare in smart cities: A Bibliometric Literature Review and avenue for a research agenda." ITM Web of Conferences 51 (2023): 03002. http://dx.doi.org/10.1051/itmconf/20235103002.

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The purpose of this paper is to review and critique the literature on the role of smart cities within the healthcare context, providing an overview of the state of research and outlining a future research agenda. Initially, six hundred and seventeen newspaper articles were extracted from Scopus, and their content was analysed for the article selection process by the two researchers in parallel. Finally, forty-six articles dealing with smart cities in healthcare and published in various academic journals have been analysed through content analysis and bibliometric analysis. The results show tha

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M., Sonali, Jayashri T., and S.Sonal. "A NOVEL SMART STETHOSCOPE FOR HEALTH CARE PROVIDERS." JournalNX - A Multidisciplinary Peer Reviewed Journal QIPCEI2K18 (April 30, 2018): 163–66. https://doi.org/10.5281/zenodo.1411829.

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A stethoscope is an instrument used in auscultation to transmit signals from patient body to the ear of the healthcare provider. Depending on where the stethoscope is placed on the body, healthcare providers can hear the sounds of the bowels, the lungs and even blood going through an artery. In this paper, a novel efficient device is proposed to train health-care providers. Using the proposed device will enable the healthcare providers to properly use the medical stethoscope. A questionnaire is created to ask healthcare providers about the efficiency of the proposed device. Results show that m

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Rizk, Dalia Kamal A. A., Hoda M. Hosny, El-Sayed M. El-Horbaty, and Abdel-Badeeh M. Salem. "APPLYING AI FOR TIMELY INPUT TO A SMART HEALTHCARE SYSTEM." Journal of Southwest Jiaotong University 57, no. 4 (2022): 312–25. http://dx.doi.org/10.35741/issn.0258-2724.57.4.28.

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Smart healthcare systems play a vital role in people's everyday lives and hence, healthcare systems are expected to continue to improve and advance. AI and IoT techniques are employed in the prescription of medicine and in setting the different actions and procedures that need to be followed by patients by the health service providers. These technologies, along with ML algorithms, form a reliable and concrete platform because of their high processing performance. Meanwhile, it is important to maintain accurate input data for these new technologies to ensure that they will give us the desired o

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Sabitha, K., N. U. Anush, G. Gowtham, S. Kesavan, R. Naveenkumar, and R. Praveen. "MediRescue Hub: Quick Access to Healthcare Services." Research and Applications of Web Development and Design 8, no. 3 (2025): 10–13. https://doi.org/10.5281/zenodo.15461120.

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<em>In recent years, the demand for accessible and fast healthcare solutions has significantly increased, particularly due to the rise in chronic illnesses and emergency cases. The MediRescue Hub project was developed to address common healthcare access challenges by offering a web-based system that allows users to book doctor appointments, securely manage medical records, receive AI-driven medication reminders, and locate nearby emergency services with ease. By combining core medical services with digital innovation, the platform seeks to reduce delays in healthcare delivery, enhance medical

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Ioppolo, Giuseppe, Franck Vazquez, Michael G. Hennerici, and Emmanuel Andrès. "Medicine 4.0: New Technologies as Tools for a Society 5.0." Journal of Clinical Medicine 9, no. 7 (2020): 2198. http://dx.doi.org/10.3390/jcm9072198.

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Are new technologies in the medicine sector a driver to support the development of a society 5.0? Innovation pushes the artisan to become smart and lean, customer-oriented but within a standardized environment of production, maintaining and ensuring the quality of the product. An artisan is a user and innovator, as an essential part of the industrial chain. In the healthcare sector, the doctor is the industrial artisan, and medicine can be considered as an example of a smart tool, strongly tailored, that embeds the innovation of materials, nano-devices, and smart technology (e.g., sensors and

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Hussain, Faisal, Syed Ghazanfar Abbas, Ghalib A. Shah, et al. "A Framework for Malicious Traffic Detection in IoT Healthcare Environment." Sensors 21, no. 9 (2021): 3025. http://dx.doi.org/10.3390/s21093025.

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The Internet of things (IoT) has emerged as a topic of intense interest among the research and industrial community as it has had a revolutionary impact on human life. The rapid growth of IoT technology has revolutionized human life by inaugurating the concept of smart devices, smart healthcare, smart industry, smart city, smart grid, among others. IoT devices’ security has become a serious concern nowadays, especially for the healthcare domain, where recent attacks exposed damaging IoT security vulnerabilities. Traditional network security solutions are well established. However, due to the r

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Velliangiri, S., P. Karthikeyan, Vinayakumar Ravi, Meshari Almeshari, and Yasser Alzamil. "Intelligence Amplification-Based Smart Health Record Chain for Enterprise Management System." Information 14, no. 5 (2023): 284. http://dx.doi.org/10.3390/info14050284.

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Medical service providers generate many healthcare records containing sensitive and private information about a patient’s health. The patient can allow healthcare service providers to generate healthcare data, which can be stored with healthcare service providers. After some time, if the patient wants to share the healthcare records of one healthcare service provider with another, we can quickly exchange the healthcare record using our approaches. The challenges faced by healthcare service providers are healthcare record sharing, tampering, and insurance fraud. We have developed Health Record

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Dr. G. Saravanan, R Punitha Gowri, Naveen P. N, Sankar R, and Sudharsan R. "Smart Prescription Recognition And Symptom Analysis For Healthcare Solutions." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 670–73. https://doi.org/10.47392/irjaeh.2025.0093.

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The digital solutions for handling prescriptions and health monitoring become more and more popular as the consequence of an increasing need for efficiency in the healthcare industry. The goal of the project, "Smart Prescription Recognition and Symptom Analysis for Healthcare Solutions," is to provide symptom-based health predictions and automated the recognition of prescriptions that are handwritten. The system's fundamental characteristics are as follows: first, it uses optical character recognition (OCR) technology to accurately interpret medication data by converting handwritten prescripti

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Books on the topic "Smart healthcare tool"

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Coronato, Antonio. Pervasive and smart technologies for healthcare: Ubiquitous methodologies and tools. Medical Information Science Reference, 2010.

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Coronato, Antonio. Pervasive and smart technologies for healthcare: Ubiquitous methodologies and tools. Medical Information Science Reference, 2010.

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1972-, Coronato Antonio, and De Pietro Giuseppe 1962-, eds. Pervasive and smart technologies for healthcare: Ubiquitous methodologies and tools. Medical Information Science Reference, 2010.

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Tyagi, Amit Kumar. Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services. IGI Global, 2022.

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Tyagi, Amit Kumar. Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services. IGI Global, 2022.

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Tyagi, Amit Kumar. Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services. IGI Global, 2022.

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Tyagi, Amit Kumar. Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services. IGI Global, 2022.

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Nutzfahrzeuge 2017 – Commercial Vehicles 2017. VDI Verlag, 2017. http://dx.doi.org/10.51202/9783181022986.

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Preface The Commercial Vehicle Industry is facing significant challenges in this era of increasing needs for transport of people and goods. The society is changing rapidly, where more people are living in urbanization areas and demanding more smart and sustainable solutions: silent, clean, safe, connected and efficient. Transport of people and goods is the live-blood of our economy, fulfilling the needs to let people travel to places for work, leisure, healthcare, and others, and transporting products and half-products, distributed on short distance or transported over long haul, to industrial

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Book chapters on the topic "Smart healthcare tool"

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Gunturu, Lakshmi Narasimha, Kalpana Pamayyagari, and Raghavendra Naveen Nimbagal. "Telemedicine: Digital Communication Tool for Virtual Healthcare During Pandemic." In Recent Innovations in Artificial Intelligence and Smart Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14748-7_17.

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Benmimoune, Lamine, Amir Hajjam, Parisa Ghodous, Emmanuel Andres, and Mohamed Hajjam. "Ontology-Based Contextual Information Gathering Tool for Collecting Patients Data Before, During and After a Digestive Surgery." In Handbook of Large-Scale Distributed Computing in Smart Healthcare. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58280-1_23.

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Harrison, Thomas, Zhaonian Zhang, and Richard Jiang. "Video-Based Heart Rate Detection: A Remote Healthcare Surveillance Tool for Smart Homecare." In Advanced Sciences and Technologies for Security Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04424-3_10.

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Lalumera, Elisabetta. "Ameliorating Epistemic Injustice with Digital Health Technologies." In Epistemic Justice in Mental Healthcare. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68881-2_8.

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AbstractThis chapter discusses the potential of digital phenotyping to ameliorate epistemic injustice in mental health. Digital phenotyping, which analyses behavioural patterns from user data or smart devices, shows promise in improving mental health care. Whilst concerns exist that it may exacerbate epistemic injustice by overshadowing individual experiences, the chapter presents a different viewpoint. Through a fictional case study, digital phenotyping is portrayed as aiding individuals seeking help by offering more accurate evidence and supporting shared decision-making. The objection that

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Nguyen, Lemai, Sasan Adibi, and Nilmini Wickramasinghe. "Towards a Better Life for Diabetic Patients: Developing and Integrating a Non-invasive Self-Management Support Tool Within a Smart Digital Companion." In Healthcare Delivery in the Information Age. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17347-0_10.

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Zaballa, Karenina, Gabriela Fernandez, Carol Maione, et al. "Social Response to COVID-19 SMART Dashboard: Proposal for Case Study." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09593-1_12.

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AbstractThe COVID-19 pandemic took a toll on the world’s healthcare infrastructure as well as its social, economic, and psychological well-being. In particular, Italy’s unexpectedly high COVID-19 case and death rate from March to June, 2020, captured headlines due to its speed and virulence. Many governments are currently implementing measures to help contain and slow down the spread of COVID-19. The Social Response to Covid-19 Smart Dashboard was built by researchers at the Metabolism of Cities Living Lab, Center for Human Dynamics in the Mobile Age at San Diego State University and Politecni

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Uddin, Md Mezbah, Apu Chandra Barman, Kumar Parmar, and Damodharan Palaniappan. "Sustainable and Smart Healthcare-Based IIoT Tools." In Studies in Computational Intelligence. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-7494-4_8.

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Banu, Ayesha, Ayesha Ameen, and Zareena Begum. "Big Data Analytics for Big Medical Data—Tools Applications and Challenges." In Smart Healthcare and Machine Learning. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3312-5_1.

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Vasoya, Anil, Harsh Rana, Miloni Shah, Purvi Parmar, and Stavan Shah. "Healthcare Data Analytics, Visualization Tools, and Applications." In AI and IoT Technology and Applications for Smart Healthcare Systems. Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781032686745-18.

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Messina, Paula V., Luciano A. Benedini, and Damián Placente. "Nanotechnology Application in Tissue Regeneration and Regenerative Medicine: Smart Tools in Modern Healthcare." In Tomorrow’s Healthcare by Nano-sized Approaches. CRC Press, 2020. http://dx.doi.org/10.1201/9780429400360-10.

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Conference papers on the topic "Smart healthcare tool"

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Menon, Amala, Aishwarya M. S, Anu Maria Joykutty, Asna Yusafali Av, and Ashifa Yusafali Av. "Data Visualization and Predictive Analysis for Smart Healthcare: Tool for a Hospital." In 2021 IEEE Region 10 Symposium (TENSYMP). IEEE, 2021. http://dx.doi.org/10.1109/tensymp52854.2021.9550822.

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Albatati, Hebah A., Maysoon F. Abulkhair, and John A. Clark. "Toward a Design of User’s Consent Tool for IoT-based Healthcare System." In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC). IEEE, 2023. http://dx.doi.org/10.1109/icaisc56366.2023.10085034.

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Kang, Dong-oh, Kyuchang Kang, Hyung-jik Lee, Eun-jung Ko, and Jeunwoo Lee. "A Systematic Design Tool of Context Aware System for Ubiquitous Healthcare Service in a Smart Home." In Future Generation Communication and Networking (FGCN 2007). IEEE, 2007. http://dx.doi.org/10.1109/fgcn.2007.45.

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Janjic, V., J. K. F. Bowles, A. F. Vermeulen, et al. "The SERUMS tool-chain: Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9005600.

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Rigoberto, Martinez M., Tamura Toshiyo, and Sekine Masaki. "Smart phone as a tool for measuring anticipatory postural adjustments in healthy subjects, a step toward more personalized healthcare." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5626162.

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Marin, Iuliana, and Nicolae Goga. "MODEL CHECKING THE PROPERTIES OF AN ELECTRONIC HEALTHCARE SYSTEM TO FACILITATE THE DETECTION OF PREECLAMPSIA THROUGH A SMART BRACELET." In eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-099.

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Electronic healthcare systems sustain a lifelong observation and treatment of population health and diseases. Through the collaborative communities of doctors the medical staff, along with their students, improve their knowledge regarding their activity field. The current paper proposes an electronic healthcare system that monitors and treats pregnant women who suffer from preeclampsia. Such a system is valuable, because it allows the prediction of emergency situations through the use of a decision support system. The blood pressure of pregnant women will be continuously monitored through a sm

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Arif, Maria, Megha Kuliha, and Sunita Varma. "Blockchain Architecture to Meet Challenges in Management of Electronic Health Records in IoT based Healthcare Systems." In 2nd International Conference on Machine Learning, IOT and Blockchain (MLIOB 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111204.

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Secure, immutable and transparent feature of blockchain has led researchers to find ways to harness its potential in sectors other than financial services. Blockchain is emerging as a popular tool to help solve some of the healthcare industry's age-old problems that have resulted in delayed treatments, inaccessible health records in emergency, wasteful spending and higher costs for doctors, health care providers, insurers and patients. Applying blockchain in healthcare brings a new challenge of integrating blockchain with Internet of Things (IoT) networks as sensor based medical and wearable d

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Saraiva, Raphael, Allysson Allex Araújo, Pamella Soares, João Carlos Pontes, and Jerffeson Souza. "Metrics for Quality Assessment in Blockchain-based Systems: A Systematic Mapping Study." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/sbsi.2025.246568.

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Context: Blockchain technology has been widely adopted across various industries, such as finance, healthcare, and logistics, due to its ability to ensure transaction integrity and transparency. Problem: The growing adoption of blockchain systems demands rigorous quality assessment to ensure compliance with requirements. While software metrics for centralized systems are well-studied, a clear research gap remains in understanding their systematic adoption for evaluating blockchain-based systems. Solution: This study identifies, analyzes, and categorizes software metrics used in blockchain-base

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Imamura, Marcio, Francisco Ferreira, and Rodrigo Santos. "Heuristics for Systems-of-Systems Design." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação (SBC), 2022. http://dx.doi.org/10.5753/sbsi_estendido.2022.222266.

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A System-of-Systems (SoS) is an arrangement of independent systems that work in synergy to fulfill a common mission. SoS can be observed in several domains such as urban mobility, healthcare, and smart cities, to mention a few. A significant concern of SoS professionals refers to the independence of the constituent systems, which have the autonomy to stop contributing or abandon an SoS, making it difficult to guarantee the quality of SoS at design time. There are concerns involving the design of SoS. Managers, developers, and users should comprehend how the SoS will operate, aiming to mitigate

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Dridi, Ahmed, Salma Sassi, and Sami Faiz. "A Smart IoT Platform for Personalized Healthcare Monitoring Using Semantic Technologies." In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. http://dx.doi.org/10.1109/ictai.2017.00182.

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Reports on the topic "Smart healthcare tool"

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Savedoff, William D., Pamela Góngora, Úrsula Giedion, and Marcela Distrutti. Smart Spending for Health: How to Make Each Dollar Count. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005103.

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Aging populations, rising rates of chronic conditions, and the COVID-19 global pandemic have all intensified the demand for more healthcare. Yet, resources for healthcare are highly constrained and mobilizing new resources for health is a difficult challenge. Now more than ever, the LAC region needs to spend smarter on healthcare. This report introduces the main concepts, tools, and strategies for making smarter healthcare spending decisions, and guides readers to resources that provide practical examples and detailed explanations.

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Leavy, Michelle B., Costas Boussios, Robert L. Phillips, Jr., et al. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Final Report. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepcwhitepaperdepressionfinal.

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Objective. The objective of this project was to demonstrate the feasibility and value of collecting harmonized depression outcome measures in the patient registry and health system settings, displaying the outcome measures to clinicians to support individual patient care and population health management, and using the resulting measures data to support patient-centered outcomes research (PCOR). Methods. The harmonized depression outcome measures selected for this project were response, remission, recurrence, suicide ideation and behavior, adverse effects of treatment, and death from suicide. T

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