Relevant bibliographies by topics / Transportation in Healthcare

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Transportation in Healthcare'

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Published: 14 March 2023

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Journal articles on the topic "Transportation in Healthcare"

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Green-Hernandez, Carol. "Transportation Challenges in Rural Healthcare." Nurse Practitioner 31, no. 12 (December 2006): 10. http://dx.doi.org/10.1097/01.npr.0000393077.02176.6b.

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Kotani, Kazuhiko. "Transportation Issues in Rural Healthcare." Journal of Preventive Medicine and Public Health 53, no. 2 (March 31, 2020): 149–50. http://dx.doi.org/10.3961/jpmph.20.038.

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Green-Hernandez, Carol. "Transportation Challenges in Rural Healthcare." Nurse Practitioner 31, no. 12 (December 2006): 10. http://dx.doi.org/10.1097/00006205-200612000-00003.

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Baran, Roger J., Surjit S. Chhabra, and Brace I. Newman. "Designing Healthcare Transportation for the Elderly." Journal of Ambulatory Care Marketing 4, no. 2 (April 18, 1991): 143–55. http://dx.doi.org/10.1300/j273v04n02_12.

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Du, Fangye, Jiaoe Wang, Yu Liu, Zihao Zhou, and Haitao Jin. "Equity in Health-Seeking Behavior of Groups Using Different Transportations." International Journal of Environmental Research and Public Health 19, no. 5 (February 27, 2022): 2765. http://dx.doi.org/10.3390/ijerph19052765.

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The equity of health-seeking behaviors of groups using different transportations is an important metric for health outcome disparities among them. Recently, smart card data and taxi trajectory data have been used extensively but separately to quantify the spatiotemporal patterns of health-seeking behavior and healthcare accessibility. However, the differences in health-seeking behavior among groups by different transportations have hitherto received scant attention from scholars. To fill the gap, this paper aimed to investigate the equity in health-seeking behavior of groups using different transportations. With sets of spatial and temporal constraints, we first extracted health-seeking behaviors by bus and taxi from smart card data and taxi trajectory data from Beijing during 13–17 April 2015. Then, health-seeking behaviors of groups by bus and taxi were compared regarding the coverage of hospital service areas, time efficiency to seek healthcare, and transportation access. The results indicated that there are inequities in groups using different travel modes to seek healthcare regarding the coverage of hospital service areas, time efficiency to seek healthcare, and transportation access. They provide some suggestions for mode-specific interventions to narrow health disparity, which might be more efficient than a one-size-fits-all intervention.
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Cray, Talia M. "Delivering Healthy Babies: Transportation and Healthcare Access." Planning Practice & Research 15, no. 1-2 (February 2000): 17–29. http://dx.doi.org/10.1080/00222938100770021.

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Sternberg, Ernest, and George C. Lee. "New York City's Healthcare Transportation during a Disaster: A Preparedness Framework for a Wicked Problem." Prehospital and Disaster Medicine 24, no. 2 (April 2009): 95–107. http://dx.doi.org/10.1017/s1049023x00006622.

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AbstractDuring a disaster, victims with varied morbidities are located at incident sites, while healthcare facilities with varied healthcare resources are distributed elsewhere. Transportation serves an essential equilibrating role: it helps balance the patients' need for care with the supply of care. Studying the special case of New York City, this article sets out the healthcare transportation components as: (1) incident morbidity; (2) transportation assets; and (3) healthcare capacity. The relationship between these three components raises an assignment problem: the management of healthcare transportation within a dynamic and partly unpredictable incident-transportation-healthcare nexus, under urban disruption. While the routine dispatch problem can be tackled through better geographic allocation software and technical algorithms, the disaster assignment problem must be confronted through real-time, mutual adjustment between institutions. This article outlines institutional alternatives for managing the assignment problem and calls for further research on the merits of alternative institutional models.
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Bull, Marilyn J. "Safe Transportation of Children with Special Healthcare Needs." Pediatric Annals 37, no. 8 (September 1, 2008): 624–31. http://dx.doi.org/10.3928/00904481-20080901-02.

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Zailani, Mohamed Afiq Hidayat, Raja Zahratul Azma Raja Sabudin, Rahana Abdul Rahman, Ismail Mohd Saiboon, Aniza Ismail, and Zaleha Abdullah Mahdy. "Drone for medical products transportation in maternal healthcare." Medicine 99, no. 36 (September 4, 2020): e21967. http://dx.doi.org/10.1097/md.0000000000021967.

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Hu, Qinglin, Xiaobing Li, and Mercedes M. Morales-Alemán. "Pathway analysis to characterize the relationships between healthcare access and healthcare visits in the United States using the health information national trends survey." International Journal Of Community Medicine And Public Health 9, no. 5 (April 27, 2022): 1951. http://dx.doi.org/10.18203/2394-6040.ijcmph20221206.

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Background: Americans had fewer healthcare visits compared to their counterparts in other developed countries. The lack of regular check-ups can contribute to worsening health conditions. Insurance coverage, access to transportation to healthcare services, and having accessed health information via the internet are known to be associated with frequency of healthcare visits. However, there is limited literature detailing the direct and indirect influences of these variables on frequency of patients’ healthcare visits. We aimed to understand the interactive relationship between insurance coverage, access to transportation to healthcare services, and having accessed health information via the internet on frequency of patient healthcare visits.Methods: We used data from the 2018 Health Information National Trends Survey (N=3504), the only survey year providing the source for information on insurance coverage, access to transportation to healthcare services, and having accessed health information via the internet. We used descriptive statistics, random parameter binary logistic regression, and pathway analysis to describe and analyze the associations between these determinants of healthcare access and healthcare visits.Results: Results indicated that access to transportation to healthcare services (18.32%) and having insurance coverage (27.89%) were directly associated with healthcare visit frequency whereas the association between having accessed health information via the internet and reporting a healthcare visit, compare to the former two, was weaken (10.87%). Residential area (rural/urban), health conditions, age, race/ethnicity, employment status were directly associated with visit frequency whereas income status and education level were associated with healthcare visits indirectly through insurance.Conclusions: Better understanding interactive relationships between healthcare access determinants will be key to the development of healthcare access interventions aimed at reducing healthcare disparities.
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Dissertations / Theses on the topic "Transportation in Healthcare"

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Lara, Garazi Zabalo Manrique de. "Metaheuristic Algorithms for Transportation Problems in HealthCare." Doctoral thesis, Università di Siena, 2018. http://hdl.handle.net/11365/1050844.

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One of the most challenging problems in healthcare systems nowadays is the one of satisfying all the demand while delivering a high-quality service with very limited resources. That is why optimization problems in healthcare have been the subject of many research studies. During recent years transportation problems in particular have gathered a lot of attention. Healthcare transportation problems can be divided in two main groups, patient transportation and the transportation of goods, such as biological samples. Patient transportation is an important issue in healthcare systems, both for emergency and non-emergency transportation. Non-emergency transportations contain for example, the transfer of patients between hospitals, the transportation between patients’ homes and medical structures and the transportation to nursing homes and rehabilitation centers. The complexity of the above mentioned problems, the many user related constraints and the limited resources make these types of problems very challenging. That is why OR and in particular optimization algorithms have become a useful tool to solve these problems. Pickup and delivery problems (PDP) are a variant of vehicle routing problems (VRP), where a number of loads have to be transported from pickup locations to delivery locations with the aim of finding a routing for a fleet of available vehicles that minimizes the overall routing cost. Each available vehicle has a given capacity and is located in a depot, where it has to return at the end of the service. Each request is characterized by the size of the load and by the location where it has to be picked up (pickup location) and the location where it has to be dropped off (delivery location). Dial-a-ride problem (DARP) is a generalization of the Pickup and Delivery Problem with Time Windows (PDPTW). In DARP, people are transported instead of goods and consequently issues on the quality of the provided service and timing must be carefully taken into account (through additional constraints or by extra terms in the objective function). In this thesis different metaheuristic algorithms are proposed to solve transportation problems in healthcare. Two real-life transportation problems are presented one focusing on the on-demand patient transportation and the other focused on the collection and transportation of biological samples. The thesis tackles the unforeseen constraints that arise when adapting pickup and delivery (PDP) problems to real scenarios. These unforeseen constraints include the user’s preferences, complex cost functions, user’s quality service for the patient transportation problem and the possibility of transfers for the biological sample transportation problem. The first addressed problem is a multi-depot dial-a-ride problem arising from a real-world healthcare application, concerning the non-emergency transportation of patients in the Italian region of Tuscany. Different versions of Variable Neighborhood Search (VNS) algorithms have been created able to tackle all the characteristics of the problem. The computational results obtained by testing the VNS algorithms on literature instances and on random instances taken from a real-life healthcare problem show the effectiveness of the proposed approaches. Finally, the last problem deals with a multi-depot pickup and delivery problem with transfers that arises from a real-world healthcare application, the blood and biological sample transportation in the Metropolitan Area of Bologna, an Italian city. The proposed Adaptive Large Neighborhood Search algorithm is able to tackle all the characteristics of the problem. Computational results on real-life instances show the effectiveness of the proposed approach, in quality of the solution as well as in the distribution of the vehicles to the hospital, compared to the current real situation of the HUB, the main hospital of Bologna.
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Bailey, Gavin. "Developing sustainable supply chains for healthcare." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/377894/.

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The focus of this thesis is to provide hospitals and local authorities in an urban setting with a set of recommendations for sustainable methods of supply for healthcare institutions, to minimise the negative externalities of freight associated with urban hospitals. The structure and nature of the healthcare supply chain engenders unsustainable freight patterns as a result of the poor communication and unpredictability of inventory demand from hospitals to suppliers, resulting in high freight volumes (403 freight movements recorded over a 5-day period during a November 2011 survey), and the mixing of urgent and non-urgent goods within the same supply chain. In addition to this ancillary hospital services such as hospital laboratory couriers are found to be a large traffic generator with 476 individual services booked over a 3 month period (January – March 2014). In fulfilment of these issues three solutions are proposed to improve the economic and environmental sustainability of freight: mobile consolidation, to address the high numbers of deliveries received by hospitals; unattended locker bank delivery, to separate urgent goods from the supply chain; and, consolidation of laboratory courier services. Assessment of the mobile consolidation centre for GOSH only operating over 1 site to 4 sites, using 93 records from the 2011 freight survey indicated savings for the week between: 10,591 VKm (1 site operation) and 12,173 VKm (4 site operation); 181.53 – 225.05 journey time hours for 2 site and 4 site operations, respectively; and, 2 – 2.33 tonnes of CO2 equivalents between 1 site and 4 site operations. Implementation of a London-wide scenario indicated reductions of 64,204 VKm, 579 Journey Time Hours and 89 tonnes of CO2e. Assessment of the proposed electronic locker bank was assessed using a hill climbing model operating with a database of consignment movements; and qualitatively using staff interviews. Results indicated that a locker bank measuring 3.69m length, 1.7m height and 0.8m depth, comprising 19 partitions would be required to accommodate all urgent consignments for any given day. Staff perceptions of the concept were positive suggesting the locker would potentially improve the speed and quality of healthcare delivered to patients. Current hospital and courier service providers’ practices centre on collecting items as and when they arrive for outward journeys at the hospital. Using a database of 323 courier journeys at Great Ormond Street Hospital, 8 different consolidation scenarios, varying the length of time an item is delayed (ranging between 30 minutes to 10 hours). Findings indicated that consolidated approaches yielded reductions in vehicle numbers, between 120 and 255, compared to the current model of operation, but that the current model of operation is actually more environmentally efficient, generating 0.42 to 0.84 fewer metric tonnes of CO2 than consolidated approaches. Assessments of other hospitals such as University Hospital Southampton indicated that the three proposed solutions may be considered relevant to other hospitals. However, in the citywide context, the benefits for each solution when implemented at a single hospital site were minimal suggesting a greater number of hospital sites would be required to deliver larger gains.
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Blackett, Nina Jane. "Mediated transparency : truth, truthfulness, and rightness in digital healthcare discourse." Thesis, London School of Economics and Political Science (University of London), 2013. http://etheses.lse.ac.uk/941/.

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This thesis addresses the challenges of producing digitally mediated healthcare information, a high-stakes arena which is conceptualised as a complex discourse and its diverse producers as interlocutors within this discourse. The study is located theoretically in the tradition of universal or formal pragmatics, the foundation of Habermas’s theory of communicative action. Building on this theoretical core a conceptual framework is developed that integrates insight from several other traditions, including communication studies. The notion of communicative transparency is aligned with the idealised goal of a rich informational context supporting a range of perspectives in movement towards a balanced and consensual understanding by lay and expert actors of healthcare in our world. The central research question is: Can digital mediation increase the transparency of healthcare communication? The empirical focus rests on two organisations involved in the creation of digital information products. Key mediators of meaning in digital healthcare information are identified as the diverse types of expertise of its producers, the materiality of digital artefacts, and the communicative mechanisms, processes and practices that often lead to departures from the normative idealised standard of transparency. The methodology is a comparative case analysis based on field research employing principally interviews to build a rich corpus, analysed using a recursive in-depth thematic coding procedure to reveal the ways in which digitally mediated healthcare meanings are shaped and shared. The study demonstrates how communicative transparency emerges from shared frames of reference and common models of communication. It is concluded that digital mediation can indeed increase the transparency of healthcare information by supporting the deepening of Habermasian rational discourse, providing that validity claims to truth, truthfulness, and rightness can be raised and resolved at all stages in the discourse among all interlocutors, whatever their role and status.
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Mario, Benini. "Improving Decision Making in Real-world Applications by Solving Combinatorial Optimization Problems." Doctoral thesis, Università di Siena, 2022. https://hdl.handle.net/11365/1221594.

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The motivation for this work is to study complex real-world scenarios and provide tools that can actually improve decision-making in those problems. To do so, we mainly adopt techniques from the fields of Operations Research and Combinatorial Optimization. In this dissertation, we focus on three real-world applications from different industries that can be modeled as combinatorial optimization problems and address them with operations research techniques. The dissertation is divided in chapters, each of which is related to a different topic. In Chapter 1, a problem concerning the transportation of biological samples from draw centers to a main laboratory for analysis is presented. The problem arises from a healthcare application in Bologna, Italy, where the healthcare authority decided to centralize the analysis of all biological samples of the area to a main laboratory, in order to exploit economies of scales and reduce the costs for samples’ analysis. Of course, such an improvement goal also created a new complex problem: all the samples must be transported from draw centers to the main lab. A fleet of vehicle is available for the transportation and must collect the samples from draw centers during given times of the day and deliver them within a certain time, since samples are perishable. Vehicles can also exploit the existence of dedicated centers that can extend the lifespan of the samples and where samples can be transferred from one vehicle to another. It is clear from this brief description how hard it could be to decide which is the routing of all the vehicles which minimizes the traveling costs while delivering all samples on time. For this problem we developed different mixed integer linear programming models, metaheuristic algorithms, and grouping policies for the samples that are able to tackle the complexity of the problem and improve routing decisions. All methods have been tested through an extensive computational campaign using real-world data, showing the effectiveness of the proposed approaches. In Chapter 2, a problem related to the agricultural industry is presented. The problem arises from a real-world application in Italy and it is that of planning the use of the available land of a farm for a given number of years, given a set of crops that can be grown. The objective is to maximize the farmer’s profit, but the farmer is subject to several rules both from an agronomic and from a regulation point of view. In fact, many constraints exist regarding agronomic principles, such as maximum replanting, botanical family constraints and crop rotation issues. One of the goals of this work is indeed that of evaluating the risks and benefits of following or not the best practices regarding crop rotation issues in the Mediterranean pedo-climatic context. Furthermore, we want to evaluate the effectiveness of public and private initiatives regarding sustainable agriculture. In fact, it is more and more important nowadays to face these challenges in the food supply chain, which is one of the most discussed industries when it comes to sustainability. In particular, we analyze two different initiatives, namely the Common Agricultural Policy by the European Union and “La Carta del Mulino” by Barilla Group S.p.A.. Both initiatives introduce economic incentives for the farmers following virtuous behaviors from a sustainability point of view. Practically, these behaviors are constraints increasing the complexity of the problem and the difficulty in the decision-making process. For this problem, we will give a formal characterization and study its complexity, also analyzing special cases. We will also present a network-flow based model to solve a special case of the problem and integer linear programming models developed to solve three variants accounting for different sustainability scenarios. Real-world data from 23 Italian farms were used in an extensive computational campaign. The analysis of the results shows that the models can be helpful tools for farmers to plan their production and for authorities to evaluate the effectiveness (and efficiency) of their sustainability initiatives. In Chapter 3, we discuss a problem concerning the sequencing of unreliable jobs on parallel machines. Even if the problem is not taken from a specific application, it may have several applications in real-world scenarios, such as in manufacturing and planning of complex computations on multi-processors computers. In this problem, we have n unreliable jobs providing a reward when successfully completed, but each job has a probability of not being carried out. We have m parallel identical machines at our disposal, and we want to schedule the jobs on the machines in order to maximize the total expected reward. To increase the probability of completing the jobs, we create m copies of each job and schedule each copy on a different machine. For this problem, we will present a complexity analysis showing that the problem is NP-complete for two machines. For the problem with two machines, we derived some theoretical properties and developed a quadratic integer programming model, a tabu search algorithm, and an upper bound based on the Three-Dimensional Assignment problem. A computational campaign on different sets of instances shows that the tabu search outperforms the model. Then we focused on the general case with m machines. In particular, we developed several heuristics and proved some theoretical results, including the worst case performance guarantee of two heuristics. We also devised a generalized tabu search algorithm and a new, improved, upper bounding scheme based on a relaxation of the problem. Computational experiments are performed for the new methods on the problems with two and three machines. The results show that good optimality gaps are reached on all the instances.
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Erskine, Nathaniel A. K. "Barriers to Healthcare Access and Patient Outcomes After a Hospitalization for an Acute Coronary Syndrome and Other Acute Conditions." eScholarship@UMMS, 2017. https://escholarship.umassmed.edu/gsbs_diss/930.

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Background: Guideline-concordant therapies for survivors of an acute coronary syndrome (ACS) hospitalization require healthcare access, something that millions of Americans lack. Methods and Results: Using data from a prospective cohort study of over 2,000 survivors of a hospitalization for an ACS in central Massachusetts and Georgia from 2011 to 2013, the first two aims of this thesis sought to identify the post-discharge consequences for survival and health status of having: 1) financial barriers to healthcare, 2) no usual source of care, and 3) transportation barriers. We found that patients lacking a usual source of care and having a transportation barrier were more likely to have died within two years following hospital discharge compared to those without such barriers. Also, patients with financial barriers to healthcare were more likely to experience clinically meaningful declines in physical and mental health-related quality of life over the six months after hospital discharge. The third aim sought to better understand factors influencing the success of care transitions home after an unplanned hospitalization through a qualitative study of 22 patients. Participants described how adequate healthcare access, particularly having insurance and transportation to clinical appointments, facilitated the receipt of follow-up care and adherence to treatments. Conclusions: Limitations in healthcare access may contribute to poorer survival, health-related quality of life, and survival. Additional research is needed to identify interventions to improve healthcare access and test whether improved access leads to better patient outcomes.
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Bennett, Ashlea R. "Home health care logistics planning." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33989.

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This thesis develops quantitative methods which incorporate transportation modeling for tactical and operational home health logistics planning problems. We define home health nurse routing and scheduling (HHNRS) problems, which are dynamic periodic routing and scheduling problems with fixed appointment times, where a set of patients must be visited by a home health nurse according to a prescribed weekly frequency for a prescribed number of consecutive weeks during a planning horizon, and each patient visit must be assigned an appointment time belonging to an allowable menu of equally-spaced times. Patient requests are revealed incrementally, and appointment time selections must be made without knowledge of future requests. First, a static problem variant is studied to understand the impact of fixed appointment times on routing and scheduling decisions, independent of other complicating factors in the HHNRS problem. The costs of offering fixed appointment times are quantified, and purely distance-based heuristics are shown to have potential limitations for appointment time problems unless proposed arc cost transformations are used. Building on this result, a new rolling horizon capacity-based heuristic is developed for HHNRS problems. The heuristic considers interactions between travel times, service times, and the fixed appointment time menu when inserting appointments for currently revealed patient requests into partial nurse schedules. The heuristic is shown to outperform a distance-based heuristic on metrics which emphasize meeting as much patient demand as possible. The home health nurse districting (HHND) problem is a tactical planning problem which influences HHNRS problem solution quality. A set of geographic zones must be partitioned into districts to be served by home health nurses, such that workload is balanced across districts and nurse travel is minimized. A set partitioning model for HHND is formulated and a column generation heuristic is developed which integrates ideas from optimization and local search. Methods for estimating district travel and workload are developed and implemented within the heuristic, which outperforms local search on test instances.
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Elahi, Behin. "Integrated Optimization Models and Strategies for Green Supply Chain Planning." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1467266039.

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Nguyen, Hoa L. "Age and Sex Differences in Duration of Pre-Hospital Delay, Hospital Treatment Practices, and Short-Term Outcomes in Patients Hospitalized with an Acute Coronary Syndrome/Acute Myocardial Infarction: A Dissertation." eScholarship@UMMS, 2010. https://escholarship.umassmed.edu/gsbs_diss/471.

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BackgroundThe prompt seeking of medical care after the onset of symptoms suggestive of acute coronary syndromes (ACS)/acute myocardial infarction (AMI) is associated with the receipt of coronary reperfusion therapy, and effective cardiac medications in patients with an ACS/AMI and is crucial to reducing mortality and the risk of serious clinical complications in these patients. Despite declines in important hospital complications and short-term death rates in patients hospitalized with an ACS/AMI, several patient groups remain at increased risk for these adverse outcomes, including women and the elderly. However, recent trends in age and sex differences in extent of pre-hospital delay, hospital management practices, and short-term outcomes associated with ACS/AMI remain unexplored. The objectives of this study were to examine the overall magnitude, and changing trends therein, of age and sex differences in duration of pre-hospital delay (1986-2005), hospital management practices (1999-2007), and short-terms outcomes (1975-2005) in patients hospitalized with ACS/AMI. MethodsData from 13,663 residents of the Worcester, MA, metropolitan area hospitalized at all greater Worcester medical centers for AMI 15 biennial periods between 1975 and 2005 (Worcester Heart Attack Study), and from 50,096 patients hospitalized with an ACS in 106 medical centers in 14 countries participating in the Global Registry of Acute Coronary Events (GRACE) between 2000 and 2007 were used for this investigation. Results In comparison with men years, patients in other age-sex strata exhibited significantly longer pre-hospital delay, with the exception of women < 65 years; had a significantly lower odds of receiving aspirin, angiotensin converting enzyme (ACE) inhibitors or angiotensin II receptor blockers (ARBs), beta blockers, statins, and undergoing coronary artery bypass graft surgery (CABG) surgery or percutaneous coronary intervention (PCI), and were significantly more likely to develop atrial fibrillation, cardiogenic shock, heart failure, and to die during hospitalization and in the first 30 days after admission. There was a significant interaction between age and sex in relation to the use of several medications and the development of several of these outcomes; in patients Conclusions Our results suggest that the elderly were more likely to experience longer prehospital delay, were less likely to be treated with evidence-based treatments during hospitalization for acute coronary syndrome, and were more likely to develop adverse outcomes compared to younger persons. Younger women were less likely to be treated with effective treatments and were more likely to develop adverse outcomes compared with younger men while there was no sex difference in these outcomes. Interventions targeted at older patients, in particular, are needed to encourage these high-risk patients to seek medical care promptly to maximize the benefits of currently available treatment modalities. More targeted treatment approaches during hospitalization for ACS/AMI for younger women and older patients are needed to improve their hospital prognosis.
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Blackmar, Carey Eileen. "Comparing transit accessibility measures : a case study of access to healthcare facilities." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-12-2326.

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Despite the continued interest in transportation accessibility, it is still unclear how different types of accessibility measures relate to one another and which situations are best for each. The current study undertakes a statistical comparison among six transit accessibility measures (representing three main categories of accessibility models) to determine whether they are comparable and/or interchangeable. Specifically, this analysis considers a case study to measure individuals’ access to healthcare via paratransit. Results indicate that the three categories of accessibility measures provide drastically different interpretations of accessibility that cannot be duplicated by each other. Furthermore, the more closely accessibility models capture individuals’ perceptions and true access to activity opportunities, the more consistent and evenly distributed the results.
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Chen, Chung-Cheng, and 陳中正. "A Mobile Sensing System for Healthcare in Intelligent Transportation Systems." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/65116305526299920323.

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碩士
國立臺中教育大學
資訊工程學系
101
The applications of Internet of Things (IoTs) become attractive. Intelligent Transporta¬tion System (ITS) is one of the most popular IoT applications. The goals of ITS are to improve traffic safety and comfortable. Drunken driving and physical discomfort of the vehicle drivers are common causes of car accident. Therefore, real time healthcare for vehicle drivers attracts great interests. In this proposed system, a mobile sensing system is developed to monitor the health status of the vehicle drivers. Plenty of embedded sensors and wireless communication interfaces are facilitated included in the smartphones. In the developed system, the smart phone will send the health condition of the vehicle driver to the control server. When the driver has an emergency situation, such as alcohol concentration or heart rate is greater than predetermined thresholds. The control server will report the health condition of the vehicle driver to the related parties, including family members, company, and related doctor/hospital. In addition, the location of the driver will be displayed on the map. Users learn real time location situation of vehicle drivers via SMS or Web servers.
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Books on the topic "Transportation in Healthcare"

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Ellis, Elizabeth, Sue Knapp, Jason Quan, Will Sutton, Marsha Regenstein, and Tariq Shafi. Dialysis Transportation: The Intersection of Transportation and Healthcare. Washington, D.C.: Transportation Research Board, 2019. http://dx.doi.org/10.17226/25385.

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Audit Commission for Local Authorities in England and Wales., ed. Going places: Taking people to and from education, social services and healthcare. Wetherby: Audit Commission Publications, 2001.

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Competition in the healthcare marketplace: Hearing before the Subcommittee on Consumer Protection, Product Safety, and Insurance of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Eleventh Congress, first session, July 16, 2009. Washington: U.S. G.P.O., 2010.

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The Center for Healthcare Supply Chain Research. 86th Edition HDMA Factbook: The Facts, Figures and Trends in Healthcare. Healthcare Distribution Alliance, 2015.

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Euchi, Jalel. Applications of Transportation, Logistics, and Supply Chain Management in Home Healthcare. IGI Global, 2019.

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Daim, Tugrul U., Leong Chan, and Judith Estep. Infrastructure and Technology Management: Contributions from the Energy, Healthcare and Transportation Sectors. Springer, 2019.

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Infrastructure and Technology Management: Contributions from the Energy, Healthcare and Transportation Sectors. Springer, 2018.

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Euchi, Jalel. Transportation, Logistics, and Supply Chain Management in Home Healthcare: Emerging Research and Opportunities. IGI Global, 2019.

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Euchi, Jalel. Transportation, Logistics, and Supply Chain Management in Home Healthcare: Emerging Research and Opportunities. IGI Global, 2019.

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Euchi, Jalel. Transportation, Logistics, and Supply Chain Management in Home Healthcare: Emerging Research and Opportunities. IGI Global, 2019.

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Book chapters on the topic "Transportation in Healthcare"

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Khorbatly, Mohamad, Hamdi Dkhil, Hassan Alabboud, and Adnan Yassine. "Wounded Transportation and Assignment to Hospital During Crisis." In Operations Research and Simulation in Healthcare, 175–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45223-0_8.

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Behera, Saswati Kumari, and G. Prashanth. "Autonomous Logistic Transportation System for Smart Healthcare System." In Application of Deep Learning Methods in Healthcare and Medical Science, 225–37. New York: Apple Academic Press, 2022. http://dx.doi.org/10.1201/9781003303855-13.

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Benini, Mario, Paolo Detti, and Garazi Zabalo Manrique de Lara. "A MILP Model for Biological Sample Transportation in Healthcare." In AIRO Springer Series, 81–94. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34960-8_8.

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Detti, Paolo, Garazi Zabalo Manrique de Lara, and Mario Benini. "A Metaheuristic Approach for Biological Sample Transportation in Healthcare." In AIRO Springer Series, 293–306. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63072-0_23.

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Ataka, Shinichiro, and Hisayoshi Horioka. "Study on Multi-Period Transportation Problem Considering Opportunity Loss and Inventory." In Innovation in Medicine and Healthcare 2015, 149–59. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23024-5_14.

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Wang, Tao, Tsu-Yang Wu, Yu-Qi Lee, Xiao-Cong Liang, Chien-Ming Chen, Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, and Yeh-Cheng Chen. "Cryptanalysis of an Authenticated Key Agreement Scheme for Fog-driven IoT Healthcare System." In Advances in Smart Vehicular Technology, Transportation, Communication and Applications, 111–18. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1209-1_11.

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Fathollahi-Fard, Amir Mohammad, Abbas Ahmadi, and Behrooz Karimi. "A Robust Optimization for a Home Healthcare Routing and Scheduling Problem Considering Greenhouse Gas Emissions and Stochastic Travel and Service Times." In Green Transportation and New Advances in Vehicle Routing Problems, 43–73. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45312-1_2.

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Michael, Kurt D., and Ujjwal Ramtekkar. "Overcoming Barriers to Effective Suicide Prevention in Rural Communities." In SpringerBriefs in Psychology, 153–59. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06127-1_17.

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AbstractIndividuals who live in rural communities face health challenges, including a higher risk of suicide and opiate dependence, and relatively fewer healthcare resources compared to those found in urban communities. The most prominent barriers to effective suicide prevention in rural areas include limited availability of healthcare providers, transportation limitations, economic disparities, a lack of broadband access, and reluctance to seek professional treatment. Despite these barriers, school mental health partnerships and telehealth models of care have shown promise in addressing several of these barriers in practice. These two innovations will be discussed in detail and how they help overcome some of the known barriers to effective suicide prevention in rural communities.
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Pereira, Maria Teresa, Marisa Oliveira, Fernanda Amélia Ferreira, Alcinda Barreiras, and Liliana Carneiro. "Time Windows Vehicle Routing Problem to On-Time Transportation of Biological Products on Healthcare Centres." In Springer Proceedings in Mathematics & Statistics, 163–74. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20788-4_11.

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Ngoc, Nguyen Thi Bich. "Developing Smart City Infrastructure Inside a Historical City: A Case from Thua Thien Hue, Vietnam." In Smart Cities in Asia, 115–24. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1701-1_10.

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AbstractWith the accelerated development of science and technology in the last 20 years, many cities in the world are undergoing major changes to become smarter, safer, and more sustainable. Some cities in Vietnam are also making efforts to catch up with this irreversible trend. In Vietnam, the government is working with corporations to plan and implement smart cities, focusing on nine fields: architecture, urban planning, interaction, healthcare, education, transportation, safety and security, journalism and communication management, and digital government. This paper draws on the case of the Intelligent Operations Center in Thua Thien Hue province––a remarkable example of effective smart city planning and application in Asia—and analyzes its smart city implementation inside a historical and cultural city. The center is designed and implemented to lay a sound foundation for smart city technologies. The Intelligent Operations Center helps the government supervise and control citizens’ social activities and predict social trends. Additionally, it encourages the participation of citizens in managing the city.
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Conference papers on the topic "Transportation in Healthcare"

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Wang, Nan, Ming Huang, and Jungwei Fan. "Mining Transportation Issues from Patient Portal Messages." In 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI). IEEE, 2022. http://dx.doi.org/10.1109/ichi54592.2022.00100.

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Santana, Paula, António Rodrigues, Rita Santos, Cláudia Costa, and Adriana Loureiro. "Equity in healthcare accessibility: a purpose of urbanity." In Virtual cities and territories. Coimbra: Department of Civil Engineering of the University of Coimbra and e-GEO, Research Center in Geography and Regional Planning of the Faculty of Social Sciences and Humanities of the Nova University of Lisbon, 2011. http://dx.doi.org/10.5821/ctv.7715.

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The study-area of the present study is the local council of Coimbra, located in the center of Mainland Portugal. It is intended to demonstrate how GIS tools provide an adequate framework in the process of spatial reorganization of the Health centres system/network in the local council of Coimbra. More precisely, it is intended to: i) analyze the characteristics of supply within the existing health units; ii) quantify and understand the differences between potential, expressed and effective demand; iii) adjust the location of HCs in order to answer the needs of resident population and individuals actually registered in the health units; iv) build analytical mathematical models which quantify gains in terms of geographical accessibility, paying particular attention to soft and public means of transportation.
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Dong, Luqi. "Analysis of Spatio-Temporal Characteristics of Healthcare Accessibility Considering Travel Time Reliability." In 2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT). IEEE, 2020. http://dx.doi.org/10.1109/isctt51595.2020.00044.

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Dillahunt, Tawanna R., Juan F. Maestre, Vaishnav Kameswaran, Erica Poon, John Osorio Torres, Mia Gallardo, Samantha E. Rasmussen, et al. "Trust, Reciprocity, and the Role of Timebanks as Intermediaries: Design Implications for Addressing Healthcare Transportation Barriers." In CHI '22: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3491102.3502494.

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Alhaijawy, Feras sameer, and Adina magda Florea. "USING AMBIENT INTELLIGENCE IN HEALTHCARE: CASE STUDIES AND SCENARIOS AND EMPLOYING E-TRAINING IN HEALTHCARE." In eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-093.

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While there is a progress in different sciences, researchers in machine learning working to make the people life more comfortable by interpreting this progress in various life sphere, they introduced new field called Ambient Intelligence (AmI). The main idea behind AmI is to enroll technology in every aspect of our lives to interact with societies in a smooth manner and improves the quality of our lives. During the last two decades, Ambient Intelligence evolved fast toward suitable developing real-life solutions, causing mass evolutions in every aspect of life as learning, transportation, manufacturing, healthcare, etc. The paper constrained on the healthcare domain due to its exciting paradigm. In this paradigm, the digital environments will not only interact with human events through sensing and interpreting, but it will also learn and adapt actions to the inhabitant needs, gestures, habits, and emotions. This paper summarizes the requirements to achieve the vision of Ambient Intelligence in healthcare. The paper will analyze and compare some previous case studies and scenarios in the Ambient Intelligence area. Finally, the paper proposes a scenario that focuses on the slice of elderly and disabled people those who are physically disabled and have neurological problems to help them to enhance the facilities of using Ambient Intelligence technologies in healthcare and an associated architecture and support them to interact with the community. The paper proposes an architecture that converts the user’s home to look like smart-homes because of the scattered sensors and devices in it and connecting them all together with some sensors on the user’s body besides providing the user with giraff-robot with a screen with different tasks. Some of the giraff-robot responsibilities are to do some actions according to the sensed data, and to work as an online trainer by displaying videos or displaying an avatar tells the user how to do it. The paper tries to present the benefit of using the AmI and the advantage of E-learning -by providing the online training- to ease the life of this slice of people. The architecture tries to respond to the requirements needed by the user those identified during our work.
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Silva, Danyllo V. da, Taisa G. Gonçalves, and Paulo F. Pires. "Using IoT technologies to develop a low-cost smart medicine box." In XXV Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/webmedia_estendido.2019.8145.

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Internet of Things (IoT) is a paradigm that has provided improvements for the day-to-day of society. This paradigm has been applied in several domains such as ambient assisted living (AAL), energy, transportation, environmental, urban monitoring, and healthcare. In the healthcare domain, IoT offers many advantages, such as enable continuous health monitoring, improve quality life and comfort, among others. A kind of IoT application in this domain is smart medicine box, a device that provides medicines treatment monitoring of users. It allows health professionals to verify users’ treatment compliance and supports decision-making. Most of the smart medicine box projects found in the literature are still expensive and do not address some characteristics of IoT systems such as scalability, latency, time to response, among others. Taking into account this scenario, this work proposes a low-cost IoT system prototype to support users during their medicines manipulation. The proposal employs edge-computing concept to add intermediate layer improving the communication among devices and services.
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Imamura, Marcio, Luiz Alexandre Costa, Bruno Pereira, Francisco Henrique Ferreira, Awdren Fontão, and Rodrigo Pereira Dos Santos. "Fatores de Governança em Sistemas-de-Sistemas: Análise de uma Instituição Pública Brasileira." In Workshop sobre Aspectos Sociais, Humanos e Econômicos de Software. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/washes.2020.11195.

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SoS is an approach that allows the offering of unique capabilities through the integration of existing systems. SoS approach can be observed in several domains such as military, logistics, transportation, healthcare etc. Despite the great interest in this field in the last years, many problems are still open. Since the systems that compose an SoS are independent and have individual objectives,one of the most critical challenges is enabling the governance of this class of system. Therefore, this paper presents an investigation on the factors that should be taken in consideration when implementing SoS governance. To do so, we carried out a survey with professionals of a Brazilian public organization.
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Gentili, Enzo, Francesco Aggogeri, and Marco Mazzola. "The Effectiveness of the Quality Function Deployment in Managing Manufacturing and Transactional Processes." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43448.

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The goal of Quality Engineering is to design quality into every product, service and manufacturing process. In particular a methodology is claimed to be very important for Quality design and management: Quality Function Deployment (QFD). QFD is a structured methodology and mathematical tool used to identify and quantify customer requirements and translate them into key critical parameters of systems and processes. The aim of the paper is to show how a quality management approach can support the increase of the process capability in a global vision of every business. QFD represents one of the most successful tools used in industrial management. By using actual and real cases, the paper shows the effectiveness of the QFD in improving both the management of a process and its capability. Four examples are presented. They take into account different environments: pharmaceutical, mechanical, healthcare and transportation markets. The first case study is deployed in a pharmaceutical company to satisfy the new customer requirements for the introduction of a nasal spray product on the Japanese market. The second example is applied to the automotive market for the production of air-cooling devices for deluxe vehicles. Finally, the other two cases show the implementation of the QFD tool in transactional processes, such as Cargo Center activities and healthcare services.
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Huber, Tobias, Katharina Weitz, Elisabeth André, and Ofra Amir. "Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps (Extended Abstract)." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/803.

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With advances in reinforcement learning (RL), agents are now being developed in high-stakes application domains such as healthcare and transportation. Explaining the behavior of these agents is challenging, as they act in large state spaces, and their decision-making can be affected by delayed rewards. In this paper, we explore a combination of explanations that attempt to convey the global behavior of the agent and local explanations which provide information regarding the agent's decision-making in a particular state. Specifically, we augment strategy summaries that demonstrate the agent's actions in a range of states with saliency maps highlighting the information it attends to. Our user study shows that intelligently choosing what states to include in the summary (global information) results in an improved analysis of the agents. We find mixed results with respect to augmenting summaries with saliency maps (local information).
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Sucháček, Jan, and Jaroslav Koutský. "Infrastruktura v krajských městech České republiky z mediálního pohledu." In XXIV. mezinárodního kolokvia o regionálních vědách. Brno: Masaryk University Press, 2021. http://dx.doi.org/10.5817/cz.muni.p210-9896-2021-53.

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Thematic composition of contributions in the frame of national TV coverage affects media portrayals of investigated territories. The article focuses on important categories of infrastructure, such as healthcare, education, science and transportation at the level of individual regional capitals. The objective of the paper is to analyse and assess the contributions that deal with selected parts of infrastructure and are related to the individual regional capitals in the Czech Republic. We will concentrate on the news that appeared within the programmes Události and Události, komentáře broadcasted by public Czech TV and Televizní noviny in the frame of private TV Nova news reporting. The whole issue is evaluated mainly from qualitative perspective. As it turned out, in spite of the importance of infrastructure for urban development, the national TV news reporting does not pay sufficient attention to that category at the level of individual regional capitals.
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Reports on the topic "Transportation in Healthcare"

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Shey Wiysonge, Charles. Does additional social support during at-risk pregnancy improve perinatal outcomes? SUPPORT, 2016. http://dx.doi.org/10.30846/1608104.

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Additional social support has been advocated for socially disadvantaged pregnant women because they are at greater risk of experiencing adverse birth outcomes. Support may include advice and counselling (e.g. about nutrition, rest, stress management, or the use of alcohol), tangible assistance (e.g. transportation to clinic appointments, or household help), and emotional support (e.g. reassurance, or sympathetic listening). The additional social support may be delivered by multidisciplinary teams of healthcare workers or lay health workers during home visits, clinic appointments or by telephone.
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