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ayushsisgain · 2 years

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A Deep Insight into How Remote Patient Monitoring Makes Lives Better

Among the most cutting-edge healthcare technologies,remote patient monitoring programsstand out. It provides a convenient way for people to get high-quality medical services without leaving their homes. The programme uses the latest technology to streamline tedious processes, reduce overhead, and enhance analytical visibility.

AlthoughRPMwas already on the rise before the COVID-19 coronavirus epidemic, it had a massive spike in popularity then. The need forremote monitoringequipment grew as the crisis called for less face-to-face interaction.

To Begin With, What is RPM? An Overview of Remote Patient Monitoring

Innovative technology has allowed patients tomonitor their medical problems remotely, and as the gadgets continue to diminish in size, their accessibility will only expand. The term "remote patient monitoring," which may also refer to "remote physiological monitoring," refers to a system that uses digital technology to monitor and test patients, to generate medical suggestions and instructions remotely.

Let's take a deeper look at remote monitoring of patients to find out why it's become so popular.

What Does RPM Mean?

The term"remote patient monitoring" (RPM)refers to digitally collecting a patient's or prospective patient's health information.

Information on a patient's condition is sent to a doctor when it has been identified as requiring attention.

Data obtained can be used for diagnosis and health monitoring by doctors.

They can better advise patients on improving their health through RPM and adjust their prescription or dose accordingly.

Medical facilities use RPM to help patients with various illnesses, including diabetes and COVID-19.

Self-care is aided by RPM, which also lessens the need for doctors' office visits and hospital stays.

In addition, RPM systems allow the elderly and the disabled to maintain their independence and postpone the need for institutional care.

How Does RPM Function?

RPM uses various medical devices, including but not limited toblood pressure and heart rate monitors, weights, oximeters, spirometers and glucose metres.

RPM services don't need engaging audio-visual or virtual visits, only mobile medical equipment and technology that gathers health-related information and delivers it to the healthcare professional.

Receiving notifications in the case of a patient's fall also allows remote patient monitoring to maintain track of patients prone to losing their balance.

It helps keep tabs on calorie consumption and diet plans and checks on those with addictions and drug abuse tendencies.

Benefits of Remote Patient Monitoring

Let's examine the primary advantages of remote patient monitoring.

Reduced Potential for Disease Spread:

The transmission of the illness can be stopped by limiting contact with sick people. There will be less opportunity for the spread ofdisease due to remote monitoring, which will also mean fewer visits to the hospital.

Facilitating People's Access to Health Care:

Because ofRPM and telemedicine, patients no longer have to make time for busy trips to the clinic. Instead, individuals can get help from doctors without leaving home. A more significant number of patients could chooseRPM servicesbecause of this.

Reduced Transportation Problems:

Patients with mobility impairments can now get treatment at the convenience of their own homes because ofRPM technology.Remote monitoringeliminates problems that could happen with traditional tracking methods because of things like distance, cost, and the quality of the infrastructure for moving things.

Easy Access to Medical Records:

Various tools, including medical implants, biometrics devices, devices, andblood pressure monitors, are utilised inRPM. This innovation helps doctors get their hands on patient information more quickly, leading to a more precise diagnosis.

Expenses Decreased:

The number of readmissions and the penalties that come with them has decreased asRPM has been used more. This has savedhealthcare providers a lot of money. One way in which less in-person contact can save money and free up time for doctors is by reducing the number of visits each patient needs.

How is RPM Saving Lives?

Possibility of Better Health Outcomes:

The relationship between health outcomes and the quality of treatment received is strong. ThroughRPM, patients can take charge of theirhealth and medicine. By usingRPM, doctors can get a complete picture of a patient's health over time, ensure the patient follows their treatment plan, and step in before expensive problems happen. Clinicians can improve their relationships with patients and the health outcomes of their patients by using RPM data to make a personalised treatment plan for each patient and by involving patients in decision-making.

Detection And Treatment at The Right Time:

Health promotion and illness prevention programs should prioritise early diagnosis of chronic diseases. Early diagnosis and treatment may save lives by finding health problems as soon as possible when treatment is most likely to work.

It is difficult in the standard healthcare system to diagnose a chronic condition early without hospitalisation and close monitoring of thepatient's health. Instead,RPMallows for remote, real-time, and continuous monitoring of health conditions. Thus, a patient's vitals can be taken and recorded while he relaxes at home with a good book or movie. However, doctors may check these vitals on their browsers after they finish their rounds or even while they are still in progress.

Providers can now keep an eye out for signs that a patient's health is getting worse. They can quickly stop the decline and avoid problems when they see these signs.

RPM in Emergencies:

Urgent care is required for a patient arriving by ambulance. Because the patient's vital signs are being tracked throughRPM, physicians and staff can begin preparing for treatment before the patient arrives at the clinic. As a result, more lives can be saved, and the time needed for preparation can be reduced.

Conclusion:

Remote patient monitoring systemshave become one of the most critical tools in the medical field in recent years. RPM allows for interaction between patient and provider that has never been seen in traditional medicine. This allows for a quick exchange of information and ideas about a person's health status. Because of this, RPM software is now a widely used tool in the medical field, making treatment better for people worldwide.

#remote patient monitoring programs #remote monitoring #RPM #remote patient monitoring #remote monitoring of patients #Benefits of Remote Patient Monitoring #rpm and telemedicine #Easy Access to Medical Records #Remote patient monitoring systems

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blue-diamond-house-bakery-blog · 5 years

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kamleshdevi · 3 years

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Yes,God can heal incurable diseases and even save someone from death Its proven in our holy scriptures,and even in the real-life we all do believe in the miraculous healing ofdiseases because it is in the power of God to heal and save all his children

#CancerCured_By_TrueWorship

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rtteerrere · 3 years

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Read (EPub/PDF) Die neue Atkins Di?t: Abnehmen ohne Hunger by Robert C. Atkins

Die neue Atkins Di?t: Abnehmen ohne Hunger

DETAIL OF BOOKS

Author : Robert C. Atkins Pages : pages Publisher : Language : ger ISBN-10 : 3442161967 ISBN-13 : 9783442161966

Descriptions

In this new book, bestselling author and cardiologist, Dr Atkins explains how to tailor your diet to defy the ageing process. Research has shown that 70 percent of the signs of ageing are determined by lifestyle, and are therefore within our control. Using his proven programme of diet and vita-nutrient supplementation, Dr Atkinshelps you defy the ageing process by reducing many of the risks ofdiseases responsible for premature ageing. The book presents a symptom-by-symptom discussion of the specific signs of ageing, and their causes, then continues with a comprehensive run-down of recent breakthroughs in age-defying medicine. Dr Atkins Age-Defying Diet Revolution including advice on:--How to find your greatest risk factors--What symptoms and tests will tell you--How to select the most successful diet for you--How to modify and fine tune your diet--How to use antioxidants to defy ageing.

Download Book

Link Download Die neue Atkins Di?t: Abnehmen ohne Hunger

Reading Download Pdf Epub

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neuxue · 8 years

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If you could chose between being immortal in the sense of not aging but still being able to die ofdisease, stabbing, fire etc....or be completely indestructible but still have a human lifespan what would you chose?

Immortality. (That way you have forever to figure out how to become fireproof, right??)

Invulnerability would be pretty damn awesome, and it’s tempting, but a) I want to live forever and b) I should not under any circumstances be trusted with indestructibility.

#I would sell my soul for immortality /so fast/#honestly like I hope I live long enough #for medicine to get to that point #shhhhh I don't care how unrealistic it is #I don't know what prompted these either/or questions #but they're fun #asks #anon #immorality for immortality

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juniperpublisher-ph · 5 years

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Operations Research in Healthcare: A Review|Juniper Publishers

Juniper Publishers- Juniper Online Journal of Public Health

Review Article

Operations Research in Healthcare: A Review

*S Priyan

Department of Mathematics, Mepco Schlenk Engineering College, Sivakasi 626005, Virudhunagar DT, Tamilnadu, India.

Submission: February 21, 2017; Published: March 16, 2017

*Corresponding author: S Priyan, Department of Mathematics, Mepco Schlenk Engineering College, Sivakasi 626005, Virudhunagar DT, Tamilnadu, India,Email: [email protected]

How to cite this article: S Priyan. Operations Research in Healthcare: A Review. JOJ Pub Health. 2017; 1(3): 555561. DOI:10.19080/JOJPH.2017.01.555561

Abstract

A brief review of operations research (OR) applications to problems of health care systems are made in this article. It demonstrates the possibilities which exist for improving the operational, tactical and strategic decision-making of health care systems through the use of operations research approaches. This paper aims to raise the awareness of healthcare managers with regard to realistic OR applications

Commentary

Operations research is a term that can be used with mathematical and statistical methods and computer systems, which characterizes the orientation, interdisciplinary philosophy, which aims to quantify the relevant aspects of the situation in the modeling and manipulation of the model approach to develop decisions, plans, and policies. The systematic methodology of OR focuses on the problems developed conflicting objectives, strategies and alternatives. OR is, ultimately, the scientific method, which is applied to complex tasks to assess the overall impact of different policy options to consider actions, providing a better basis for making business decisions. The OR approach to solve the problem comprises the following six sequential steps:

Formulate the problem,

Construct a mathematical model,

Derive the solution from the model,

Test the model

Establish control over the solution, and

Health care is the number one domestic industry in the United States and one of the largest industries in the developed and developing countries, as well as it is a service-oriented industry. It is a particularly significant service industry given not only the criticality of quality and safety in delivering patient care [1], but also the associated cost involved as it is expected to account for 20% of gross domestic product (GDP)or $4 trillion in the USA in 2015 [2]. Figure 2 compares the total expenditure on health care among several countries, as a percentage of the GDP. These concerns extend beyond the USA, leading to increasing research interest in global healthcare operations [3]. OR provides a broad range of methodologies that can help health care systems to significantly improve their operations. Technologies, tools and theories of decision-making OR is many different topics and issues in health care. There are at least three reasons why operations research is relevant to health. To improve programme outcomes in relation to medical care or prevention, to assess the feasibility of new strategies orinterventions in specific settings or populations, and we have toadvocate policy change [4] (Figure 2).

Healthcare has become one of India’s largest sectors bothin terms of revenue and employment. Healthcare compriseshospitals, medical devices, clinical trials, outsourcing,telemedicine, medical tourism, health insurance and medicalequipment. The Indian healthcare sector is growing at a briskpace due to its strengthening coverage, services and increasingexpenditure by public as well private players. Indian healthcaredelivery system is categorized into two major components publicand private. The Government, i.e. public healthcare systemcomprises limited secondary and tertiary care institutions inkey cities and focuses on providing basic healthcare facilitiesin the form of primary healthcare centers (PHCs) in rural areas.The private sector provides majority of secondary, tertiary andquaternary care institutions with a major concentration inmetros, tier I and tier II cities. India’s competitive advantage liesin its large pool of well-trained medical professionals. India isalso cost competitive compared to its peers in Asia and Westerncountries. The cost of surgery in India is about one-tenth of thatin the US or Western Europe. The comparison of a few Indianmajor states with highest healthcare cost is given in (Figure 3).

Demographic change and increasing health expenditures inthe world make the healthcare research a hot topic. Hospitalsin the world are becoming larger to take advantage of thescale economy but also become more complex to design and tooperate. Ageing population makes constant diseases increasinglysignificant and leads to the need of better disease prevention,diagnostic, treatment planning and proactive cares. Patients aremore and more concerned by healthcare safety and traceability.Healthcare systems are also changing and new health servicessuch as home healthcare and telemedicine are growing. Mosthospitals used to empiric management are not prepared forand innovative systems engineering approaches are needed.Recent development of advance medical technologies makesthe systems engineering approach possible. The increasingavailability of healthcare relevant data makes possible betterdisease prevention, diagnostic and healthcare system operations.Innovative OR techniques have been designed for a broad rangeof healthcare applications such as operating room planning, emergency department staffing, breast cancer screening,radiotherapy treatment planning, home healthcare planning,long-term care planning and scheduling.

Facing these challenges, the very first attempts of thehospitals are to apply modern management techniques fromother industries. This leads to numerous hospital projectson lean management, quality control, inventory control, etc.Most of these projects had limited impacts due to their strongdependence on experiences of consulting firms gained from otherindustries and hardly took into specific features of. Hospitalsrealized more and more the need of original research takinginto specific features of healthcare industry. Various scientificcommunities quickly embraced major healthcare challengesfrom different perspectives. Emerging hot topics of the robotics& automation community include lab automation, lab-on-chip,surgical navigation, nanoscale drug delivery, medical imaginganalysis, etc. Other communities such as OR and IndustrialEngineering have been very active in healthcare managementresearch. Major Operations Research and Industrial Engineeringjournals publish more and more papers in healthcare and OR/IEconferences often have very popular sessions in healthcare suchas surgery planning/scheduling, nurse rostering, emergencydepartment analysis, ambulance location/dispatching and so on.

Operations research is increasingly recognized as essentialto strengthen health programs. For example, expanded stoptuberculosis (TB) strategy research clearly acting as a keyelement of successful programs of TB. It has various definitionsdepending on the scenario, scientists, and the type of search.The International Union against TB and Lung Disease and manyof its research partners define OR as research into strategies,interventions, tools or knowledge that can enhance the quality,coverage, effectiveness or performance of the health system orprogramme in which the research is being conducted [4]. Mistryet al. [5] derived a local agenda for OR: modeling the effects ofnewer technologies, active case detection, and changes in timingof activities, and mapping hotspots and contact networks;modeling the effects of drug control, changing the balance ofambulatory and inpatient care, and adverse drug reactions;modeling the effects of integration of TB and HIV diagnosis andmanagement, and preventive drug therapy; and modeling theeffects of initiatives to improve infection control.

Healthcare OR is not a new field; many health careresearchers and planners use concepts and methodologies which,in the business world, are often associated with the practice ofoperations research. These concepts and methodologies mostoften deal with problems in the areas of: Healthcare operationsimprovement; Inventory and Supply chain management; Facilitylocation and layout; Prevention, detection and treatment ofdiseases; Resource allocation; Clinical diagnosis and decisionmaking; and Treatment design and planning. In the contextof matter and the flow of patients and healthcare logisticsmanagement operations offer a wide range of applications for the analysis of operations research techniques. We review belowthe applications area of OR in healthcare.

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Operations Research in Healthcare: Literature Review

An area that has received considerable attention amongOR scholars is workforce scheduling, and in particular, nurserostering. The problem of working hours of construction fornurses to meet fluctuations in demand is extremely difficult.Service plans must comply with the requirements of the work ofnurses distinguish permanent and temporary staff are qualifiedto provide holidays and day, night and nurses evenly over theweekend and set preferences for class officers. Linear, mixedinteger and goal programming with constraint programmingmethods have been developed to generate nurse rosters [6].Reviews of literature on nurse rostering are available in Burke etal. [7] and Lim et al. [8].

Appointment scheduling has also been a rich research areaover the past decades (e.g. see Gupta and Denton [9]). Theprocess of assigning time slots for serving out- and inpatientsarises in diagnostic and treatment units deals with uncertainservice times, no-shows, cancelations, and walk-ins. A goodappointment schedule keeps patient waiting times short andminimizes staff overtime taking into account the patient loadand the available resources (i.e. staff, rooms, and equipment)?In view of this numerous authors developed models with theobjective of

How many patients to schedule?

How to allocate appointment slots throughout workingday?

What is the optimal sequencing of heterogeneouspatients.

Recently, Granja et al. [10] developed an optimizationmodel based on simulation approach to the patient admissionscheduling problem using a linear programming algorithm.Richard et al. [11] provided an improved method for solvingthe so-called dynamic patient admission scheduling (DPAS)problem. Atlie et al. [12] presented an exact method for PatientAdmission Scheduling (PAS) problem based on a recursivelogic-based Benders’ decomposition where each sub problemis formulated as an integer linear program. Turhan et al. [13]addressed two Mixed Integer Programming based heuristicsnamely Fix-and-Relax and Fix-and-Optimize where PAS probleminstances are decomposed into sub-problems and then the subproblemsare optimized.

Kidney dialysis therapy initiation for evaluating costand effectiveness is investigated in Lee et al. [14]. They usedApproximate Dynamic Programming and Simulation todetermine an optimal therapy and a strategy for maximizingpatient welfare. Chen [15] proposed the kidney allocationproblem. He assumed that the decision has to be made within a fixed time horizon because a kidney is perishable and the kidneysare limited. He addressed that the objective of kidney allocationproblem is to determine the allocation rule to maximize the totalexpected value achieved. The arrival, demand pattern of patientsis random. When we replace kidneys with airline tickets andpatients with travelers, we get the airline yield managementproblem. When we replace kidney and patient by job and workerrespectively, it has the typical scheduling problem. Recently,Thamer et al. [16] developed a risk score to assist shareddecision making for kidney dialysis initiation. Then Bagshaw etal. [17] addressed strategies for the optimal timing to start renalreplacement therapy in critically ill patients with acute kidneyinjury

Operating theater planning and scheduling (OTPS) has alsoreceived much attention in the past 60 years. The strategic(long term) planning level addresses capacity planning given aforecast of patient demand. Typically, the operating theaters andthe time allocated to each activity of the department at the time.The tactical (mid-term) planning level deals with the creationof weekly/monthly (rough) schedules for elective surgeries.Operational planning, the operational plan for the next day,generating a sequence of operations in each operating roomearly and distribution activities and some resources. Finally,the online planning level deals with rescheduling previouslyplanned surgeries as a result of unforeseen events such asdelays, emergencies, and cancelations. The rich and still growingliterature on OTPS covers a wide range of OR methodologies(heuristic approaches, and simulation) for deterministic andstochastic environments [6]. Reviews of literature up to 2010on Operating Theater planning and scheduling are available inCardoen et al. [18]. Recently, Wang et al. [19] investigated anoperating theater allocation problem with uncertain surgeryduration and emergency demand. In Wang et al. [19], theoperating room allocation problem with cancellation risk ismathematically formulated as follows:

Strategic operating theater planning belongs to the group ofresource allocation and capacity planning problems. This groupinvolves decisions concerning the mix and volume of patientstreated by a hospital and the amount, capability, and type ofresources for the delivery of healthcare. Hospital layout planningis also at the strategic level, but has received much less attention.The goal is to design a hospital, a clinic or a department in orderto minimize the movements of patients and accompanyingresources such as medical staff and equipment [6]. Quadraticinteger programming models were proposed by Butler et al. [19] and Elshafei [20] for problems arising in this area.

Patient transportation is a variant of the dial-a-ride problem(DARP) and concerns finding a set of minimum-cost routesand schedules for a feet of ambulances (or hospital staff) totransport (or escort) inpatients between nursing wards anddiagnostic units. Hospital-specific constraints (e.g. differentpriorities of requests, needs special equipment and supportmedical staff during transport and handling of incompleteknowledge in advance) significantly complicate the developmentof high-quality vehicle routes and schedules. The latter is oftencontrolled by the imposition of the travel time of the patient andminimizing deviations from the desired times for pickup anddelivery [21]. By its nature DARP combined extremely difficultto solve, which has contributed to the development of new OR,in particular the new (meta-) heuristic methods allowed [6].Beaudry et al. [22] and Kergosien et al. [23] proposed tabusearch based approaches, while Hanne et al. [24] embedded anevolutionary algorithm in a software application designed tosupport all phases of the transportation flow including requestbooking, scheduling, dispatching, monitoring, and reporting.Recently, Knyazkov et al. [25] illustrated the evaluation ofDynamic Ambulance Routing for the Transportation of Patientswith Acute Coronary Syndrome in Saint-petersburg. Zhang et al.[26] addressed a real-life public patient transportation problemderived from the Hong Kong Hospital Authority (HKHA), whichprovides ambulance transportation services for disabled andelderly patients from one location to another.

Aiming at improving the efficiency and reliability ofambulance service, several location models for ambulancestations have been proposed in the OR literature. Well-knownapproaches to this problem are coverage model and medianmodel. Coverage model looks for the location to maximize the(deterministic or probabilistic) covered demand of ambulancecalls. Hence this model can be thought of reliability orientedmodel. On the other hand in median model the objective is tominimize the total traveling distance of the ambulances fromthe station to the scene of call. This model gives more weightto the efficiency of ambulance operation [27]. Morohosi [27]addressed the comparison of those optimization models throughactual patient call data from Tokyo metropolitan area to showthe characteristics of each model and investigate a possibility ofimprovement in ambulance service.

Problem of patients overflow in wards is addressed byTeow [24] The demand of hospital’s inpatient beds by medicalspecialties changes according to patients’ volume over time.With no adjustments to the allocation of beds, the growingmismatch will result in unnecessary patients’ overflow. Thiswill lead to poor patient care, travel health workers redundantand the waiting bed. Hence, hospitals need to periodicallyreview their bed allocation by specialties. The bed reallocationexercise is typically a zero-sum game: some specialties will endup with more beds while others with fewer beds. Teow [24]suggested the structure of the patients overflow problem. Hefirst established bed demand for each specialty using patientday.He stated that the objective of the problem is to assign thebeds (i.e. decision variables) such that the specialties will endup with equitable bed occupancy rates (i.e. outcome), subjectto number of beds available (i.e. constraint). Litvak et al. [28]presented a mathematical method for computing the number ofregional beds for any given acceptance rate. In Litvak et al. [29],for blocking probability, they computed the famous Erlang lossformula

is the load, with λ the call arrival rate, and μ-1 the meancall length based Equivalent Random Method (ERM), and theyschematically depicted (Figure 4) the patient flows for two ICUs(Figure 4).

Outpatient appointment scheduling in health care has beenresearched over the last 50 years. Various scheduling rules havebeen proposed in different research works Bailey [30] and Cayirli[31]. A good appointment schedule is one that trade-offs patientswaiting time for clinics overtime, constrained by the patient loadand staffing. Operations research researchers use techniquessuch as queueing theory and discrete event simulation to proposevarious appointment strategies under different clinics settings.Some planning strategies can be very complex. Although the listof applications for logistics and research hospital managementoperation is far from over, above shows the range of possibilitiesin the field of operations research in hospitals [29].

Optimization issues in healthcare have become noticeablysignificant and attract keen interest from the OR community.Chen [32] addressed the optimization and decision support inBrachy therapy treatment planning using OR techniques. Heexpressed that the planning means finding a pattern of sourcesthat is consistent with do simetric constraints in brachy therapy.He formulated the following objective (0-1 mixed integerprogramming) for the problem of Brachy therapy treatmentplanning and suggested the Branch and bound method to solveit: Objective = Rewards - Penalties, where the rewards are theeffect of the treatment and the penalties are the side-effect on the surrounding healthy tissues. The graphical illustration of the Brachy therapy treatment is shown in (Figure 5).

Minimization of the total treatment time in cancerradiotherapy using multileaf collimators is studied by Wakeet al. [14]. The approach considers a Mixed Integer Programthat happens to be a modification of a cutting-stock problemformulation. Maillart et al. [33] developed a Markov chainmodel for investigating the proper frequency of mammographyscreening. They analysed a broad range of screening policies anddiscussed computational results. Lee and Zaider [34] described aclinical decision support system for treatment planning in Brachytherapy (placement of radioactive seeds inside a tumour) andused Mixed Integer Program for optimization. Recently, Holder[35]) gave a comprehensive discussion of linear and non-linearprogramming models for Intensity Modulated RadiotherapyTreatment (IMRT). Nightingale et al. [36] surveyed the currentpractices of preparation and management of radical prostateradiotherapy patients during treatment.

Accurate demand forecasting is indispensable in healthcareplanning, it results providing the input to numerous optimizationproblems. Cote and Tucker [37] discussed four commonmethods for forecasting demand for healthcare services:percent adjustment, 12-month moving average, trendline andseasonality. Xue et al. [38] analysed the continued growth ofthe end-stage renal disease population in the United States.They forecasted up to the year 2010 using historical data withstepwise autoregressive and exponential smoothing models.The accuracies of various forecast methods were evaluated byJones et al. [39]. They used data from daily patient arrivals atthe emergency departments of three different hospitals andconsidered the following methods: time series regression,exponential smoothing, and seasonal autoregressive integratedmoving average and artificial neural network models.

Hospital capacity planning is full of challenging problems forOR practitioners. Green and Savin [40] used OR-based analysesto address the increasingly critical hospital capacity planningdecisions. They used a queuing model formulation and gaveexamples of how OR models can be used for deriving significantinsights and operational strategies. Figure 6 shows the exampleof Hospital capacity alternative. A cooperative solution approach for hospital capacity to treat emergency patients inthe Netherlands is proposed in Litvak et al. [41]. Adan et al. [42]addressed the problem faced at a cardiothoracic surgery centerfor optimizing resource utilization. They modeled it as a MixedInteger Program having stochastic lengths of stay. Burdett& Kozan [43] proposed a multi-objective optimization (MOO)approach to perform a system wide analysis of public hospitalresources and capacity. Recently, Burdett et al. [44] deriveda mixed integer linear programming approach to performhospital capacity assessments. They developed the followingoptimization model

Minimize= subject to some realisticconstraint (Figure 6).

Increase in longevity, escalating health-care costs and theemergence of new diseases in recent years have forced medicaldecision-makers to focus strongly on preventive and specialized.According to Rais and Viana [45], optimization problems relatedto the prevention of diseases concern mostly vaccine selection.The vaccine selection algorithm has been extensively studiedas it was first introduced in Jacobson et al. [46]. Wu et al. [47]formulated the annual vaccine-strains selection problem as astochastic dynamic program. On the other hand, Earnshaw et al.[48] addressed a resource allocation problem for HIV preventionand developed a linear-programming model for improving onpast allocation strategies.

Unlike many industries, healthcare managers have tomanage very complicated distribution networks and inventorymanagement problems without proper guidance on efficientpractices. This is because most hospital administrators andpharmacy managers are doctors with expert knowledge inmedicine, and are not supply chain professionals. Hence, giventhe high costs, coordination, constraints, and perishability ofpharmaceuticals, more study is necessary to help health caremanagers in setting optimal supply chain management policies.Operations research provides a wide range of methodologies thatcan help hospitals and other health care systems to significantlyimprove their operations. Kelle et al. [49] provided decisionsupport tools that improve operational, tactical, and strategicdecision-making supply chain management under an inventory policy that involves periodic review. Amir et al. [50] developeda generalized network oligopoly model for PSC competition thattakes into account product perishability, brand differentiation,and discard costs. Priyan & Uthayakumar [51] designed thesupply chain management strategies for a pharmaceuticalcompany and a hospital. Priyan & Uthayakumar [52] framed anoptimal inventory management strategies for healthcare supplychain in a fuzzy–stochastic environment. Nematollahi et al. [53]derived an economic and social collaborative decision-making onvisit interval and service level in a two-echelon pharmaceuticalsupply chain.

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Conclusion

A brief review of operations research (OR) applications tohealthcare system are addressed in this paper. The purposeof this paper is to identify the existing literature on the widerange of operations research (OR) studies applied to healthcare,and to classify studies based on application type and on theOR technique employed. Based on this review, we recognizedthat commonly used OR approaches fall into four categories:mathematical programming (deterministic and stochastic),heuristics, queuing theory, and simulation.

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#Public Health #safety open access #safety peer review #juniper publishers reivew #health and safety

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hivcounselling-blog · 6 years

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a2zpr-blog · 7 years

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Ablation Devices Market Size

According to the latest report published by Credence Research, Inc. “Ablation Devices Market (Electrical, Radiofrequency, Cryoablation, Radiation, Laser, Ultrasound, Microwave & Hydrothermal Ablation; Device Types & Applications) : Growth, Future Prospects & Competition Assessment, 2016-2023,” the global ablation devices market was valued at USD10.6 Bn in 2015, and is expected to reach USD21.3 Bn by 2023, expanding at a CAGR of 9% from 2016 to 2023.

Market Insights

Browse the full report Ablation DevicesMarket - Growth, Future Prospects, Competition Assessment, 2016–2023 at http://www.credenceresearch.com/report/ablation-devices-market

Based on device type, this report categorizes ablation devices market into generators, catheters and probes, and disposables and accessories. Generators due to their higher prices and augmenting installation base is the largest device segment in the market.

The overall ablation devices market is technologically driven. Other major drivers of this market are growing incidence of chronic target diseases such as cancer and CVD, technological advancements, growing demand for minimally invasive procedures, and rapid growth in the pool of high-risk geriatric population. Conversely, stringent approval requirements and high cost of equipment are the major set of challenges faced towards the market progression. Ablation devices market is highly competitive with existence of a multitude of players closely competing to augment their foothold in the market.

Among the energy types used for delivering ablation, radiofrequency is the most sought technology and has the highest number of products commercially available. Other key segments include ultrasound ablation, laser ablation and electrical ablation. High safety of RF ablation is the key factor contributing to the dominance of RF ablation devices in the global market. However, with the emergence of novel technologies such as cryoablation and microwave ablation, the demand for RF ablation will experience a slight competition, yet not a complete upset in the overall market situation. The growth of microwave ablation segment is high primarily due to high successful treatment outcomes in cancer and efficiency in producing larger ablation zones as against RF ablation.

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Ablation devices are widely used in cardiovascular applications, and their demand in cardiology is anticipated to further grow during the forecast period. Domination of this segment is due to perpetual growth in incidence of cardiovascular diseases such as atrial fibrillation worldwide and introduction of novel ablation techniques for atrial fibrillation treatment. North America and Europe together are the largest regional markets for ablation devices. Favorable reimbursement scenario, early product introductions, better awareness and high incidence of chronic diseases are the key factors that drive the dominance of North America and Europe on the global front. On the other hand, growing government healthcare expenditure, rapid evolution of healthcare infrastructure and proliferation of medical tourism will render the swift market growth in Asia Pacific.

This market is highly competitive and is characterized by presence of several existing players and continuous influx of new market entrants. The existing players are increasingly focusing their growth strategies towards establishing their foothold in emerging markets of Asia Pacific and Middle East and Africa. Key players in the global ablation devices market are but not limited to Medtronic, Inc., St. Jude Medical, Inc., Boston Scientific Corporation, AngioDynamics, Olympus Corporation, Atricure, Smith & Nephew PLC and others.

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credence-research · 7 years

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Ablation Devices Market: Global Industry Analysis and Opportunity Assessment, 2017-2025

Market Insights

Ablation is a minimally invasive therapeutic procedure used for destruction and dissection ofdiseased tissue. Ablation is commonly used for treatment of conditions such as cancer, ophthalmic disorders urologic diseases, gynecological conditions and orthopedic disorders. Based on device type, this report categorizes ablation devices market into generators, catheters and probes, and disposables and accessories. Generators due to their higher prices and augmenting installation base is the largest device segment in the market.

Browse the full report Ablation DevicesMarket - Growth, Future Prospects, Competition Assessment, 2016–2023 at http://www.credenceresearch.com/report/ablation-devices-market

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About Us:

Who we are

Credence Research is a worldwide firm, containing more than 15 research consultants and almost 100 research and information professionals.

Our customers mirror our worldwide nature. Around 45% are in Europe, 30% in the Americas, 13% in Asia Pacific and 12% in the Middle East and Africa.

Our firm is intended to work as one. We are a solitary global research organization united by a solid arrangement of qualities, concentrated on customer effect.

What we do

Contact:

Name: Chris Smith

Designation: Global Sales Manager

E-mail: [email protected]

Ph: 1-800-361-8290

Web: http://www.credenceresearch.com

#ablation devices market #pharmaceutical #medical device #healthcare #market research

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