Cost of remote patient monitoring for cardiovascular disease: a systematic review protocol.

OBJECTIVE: This review aims to evaluate the costs and cost-effectiveness of remote patient monitoring for cardiovascular disease in the United States. INTRODUCTION: Cardiovascular disease is a leading public health concern in the United States, resulting in a substantial economic burden. Remote patient monitoring has emerged as a viable and valuable care delivery method to improve cardiovascular disease management at home. However, there is limited systematic research of the cost and cost-effectiveness of using remote patient monitoring to manage the disease. INCLUSION CRITERIA: This review will consider all studies evaluating the cost of remote patient monitoring for cardiovascular disease management in the United States. The population of interest includes all individuals with various types of chronic cardiovascular disease in the United States. METHODS: The search strategy will locate both published and unpublished studies. Systematic searches will be completed in PubMed, Embase, Web of Science, CINAHL, Scopus, Cochrane Central Register of Controlled Trials, ClinicalTrials.gov, National Health Service Economic Evaluation Database, and the Cost-Effectiveness Analysis Registry. Two reviewers will independently screen titles and abstracts, followed by a full-text review against the inclusion criteria. Disagreements will be resolved through discussion between all study members. The JBI checklist for economic evaluations will be utilized to evaluate the methodological quality of studies. Data will be extracted using a modified version of the JBI data extraction form for economic evaluations. Reviewers will summarize studies and cost-related metrics. The Dominance Ranking Matrix will be used to synthesize full economic evaluation. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42021270621.

Motivations and attitudes of Brazilian dairy farmers regarding the use of automated behaviour recording and analysis systems.

In this Research Communication we investigate the motivations of Brazilian dairy farmers to adopt automated behaviour recording and analysis systems (ABRS) and their attitudes towards the alerts that are issued. Thirty-eight farmers participated in the study distributed into two groups, ABRS users (USERS, n = 16) and non-users (NON-USERS, n = 22). In the USERS group 16 farmers accepted being interviewed, answering a semi-structured interview conducted by telephone, and the answers were transcribed and codified. In the NON-USERS group, 22 farmers answered an online questionnaire. Descriptive analysis was applied to coded answers. Most farmers were young individuals under 40 years of age, with undergraduate or graduate degrees and having recently started their productive activities, after a family succession process. Herd size varied with an overall average of approximately 100 cows. Oestrus detection and cow's health monitoring were the main reasons given to invest in this technology, and cost was the most important factor that prevented farmers from purchasing ABRS. All farmers in USERS affirmed that they observed the target cows after receiving a health or an oestrus alert. Farmers believed that they were able to intervene in the evolution of the animals' health status, as the alerts gave a window of three to four days before the onset of clinical signs of diseases, anticipating the start of the treatment.The alerts issued by the monitoring systems helped farmers to reduce the number of cows to be observed and to identify pre-clinically sick and oestrous animals more easily. Difficulties in illness detection and lack of definite protocols impaired the decision making process and early treatment, albeit farmers believed ABRS improved the farm's routine and reproductive rates.

Cost-effectiveness of artificial intelligence monitoring for active tuberculosis treatment: A modeling study.

BACKGROUND: Tuberculosis (TB) incidence in Los Angeles County, California, USA (5.7 per 100,000) is significantly higher than the U.S. national average (2.9 per 100,000). Directly observed therapy (DOT) is the preferred strategy for active TB treatment but requires substantial resources. We partnered with the Los Angeles County Department of Public Health (LACDPH) to evaluate the cost-effectiveness of AiCure, an artificial intelligence (AI) platform that allows for automated treatment monitoring. METHODS: We used a Markov model to compare DOT versus AiCure for active TB treatment in LA County. Each cohort transitioned between health states at rates estimated using data from a pilot study for AiCure (N = 43) and comparable historical controls for DOT (N = 71). We estimated total costs (2017, USD) and quality-adjusted life years (QALYs) over a 16-month horizon to calculate the incremental cost-effectiveness ratio (ICER) and net monetary benefits (NMB) of AiCure. To assess robustness, we conducted deterministic (DSA) and probabilistic sensitivity analyses (PSA). RESULTS: For the average patient, AiCure was dominant over DOT. DOT treatment cost $4,894 and generated 1.03 QALYs over 16-months. AiCure treatment cost $2,668 for 1.05 QALYs. At willingness-to-pay threshold of $150K/QALY, incremental NMB per-patient under AiCure was $4,973. In univariate DSA, NMB were most sensitive to monthly doses and vocational nurse wage; however, AiCure remained dominant. In PSA, AiCure was dominant in 93.5% of 10,000 simulations (cost-effective in 96.4%). CONCLUSIONS: AiCure for treatment of active TB is cost-effective for patients in LA County, California. Increased use of AI platforms in other jurisdictions could facilitate the CDC's vision of TB elimination.

Testicular cancer follow-up costs in Germany from 2000 to 2015.

PURPOSE: Advances in testicular cancer screening and therapy increased 10-year survival to 97% despite a rising incidence; eventually expanding the population of survivors requiring follow-up. We analyzed 10-year follow-up costs after testicular cancer treatment in Germany during 2000, 2008, and 2015. METHODS: Testicular cancer follow-up guidelines were extracted from the European Association of Urology. Per patient costs were estimated with a micro-costing approach considering direct and indirect medical expenses derived from expert interviews, literature research, and official scales of tariffs. Three perspectives covering costs for patients, providers, and insurers were included to estimate societal costs. Cost progression was compared across cancer histology, stage, stakeholders, resource use, and follow-up years. RESULTS: Mean 10-year follow-up costs per patient for stage I seminomatous germ-cell tumors (SGCT) on surveillance declined from EUR 11,995 in 2000 to EUR 4,430 in 2015 (p < 0.001). Advanced SGCT spending shrank from EUR 13,866 to EUR 9,724 (p < 0.001). In contrast, expenditure for stage II SGCT increased from EUR 7,159 to EUR 9,724 (p < 0.001). While insurers covered 32% of costs in 2000, only 13% of costs were reimbursed in 2015 (p < 0.001). 70% of SGCT follow-up resources were consumed by medical imaging (x-ray, CT, ultrasound, FDG-PET). Spending was unevenly distributed across follow-up years (years 1-2: 50%, years 3-5: 39%, years 5-10: 11%). CONCLUSIONS: The increasing prevalence of testicular cancer survivors caused German statutory insurers to cut per patient cost by up to 80% by budgeting services and decreasing reimbursement rates. The economic burden was gradually redistributed to patients and providers.

Pilot health technology assessment study: organizational and economic impact of remote monitoring system for home automated peritoneal dialysis.

PURPOSE: Follow-up of automated peritoneal dialysis (APD) has been improved by data transmission by cellular modem and internet cloud. With the new remote patient monitoring (RPM) technology, clinical control and prescription of dialysis are performed by software (Baxter Claria-Sharesource), which allows the center to access home operational data. The objective of this pilot study was to determine the impact of RPM compared to traditional technology, in clinical, organizational, social, and economic terms in a single center. METHODS: We studied 21 prevalent APD patients aged 69 ± 13 years, on dialysis for a median of 9 months, for a period of 6 months with the traditional technology and 6 months with the new technology. A relevant portion of patients lived in mountainous or hilly areas. RESULTS: Our study shows more proactive calls from the center to patients after the consultation of RPM software, reduction of calls from patients and caregivers, early detection of clinical problems, a significant reduction of unscheduled visits, and a not significant reduction of hospitalizations. The analysis also highlighted how the RPM system lead to relevant economic savings, which for the health system have been calculated € 335 (mean per patient-month). With the social costs represented by the waste of time of the patient and the caregiver, we calculated € 685 (mean per patient-month). CONCLUSION: In our pilot report, the RPM system allowed the accurate assessment of daily APD sessions to suggest significative organizational and economic advantages, and both patients and healthcare providers reported good subjective experiences in terms of safety and quality of follow-up.

Economic value of insertable cardiac monitors in unexplained syncope in the United States.

INTRODUCTION: Early use of insertable cardiac monitor (ICM) is recommended for patients with unexplained syncope following initial clinical workup, due to its superior ability to establish symptom-rhythm correlation compared with conventional testing (CONV). However, ICMs incur higher upfront costs, and the impact of additional diagnoses and resulting treatment on downstream costs and outcomes is unclear. We aimed to evaluate the cost-effectiveness of ICM compared with CONV for the diagnosis of arrhythmia in patients with unexplained syncope, from a US payer perspective. METHODS: A Markov model was developed to estimate lifetime costs and benefits of arrhythmia diagnosis with ICM versus CONV, considering all related diagnostic and arrhythmia-related treatment costs and consequences. Cohort characteristics and costs were informed by original claims database analyses. Risks of mortality, syncopal recurrence, injury due to syncope and quality of life consequences from syncopal events were identified from the literature. RESULTS: ICM was less costly and more effective than CONV. Most of the observed US$4532 cost savings were attributed to reduced downstream diagnostic testing. For every 1000 patients, ICM was projected to yield an additional 253 arrhythmia diagnoses and lead to treatment in an additional 168 patients. The ICM strategy resulted in overall improved outcomes (0.30 quality-adjusted life years gained), due to a reduction in syncope recurrence and injury resulting from arrhythmia treatment. The results were robust to changes in the base case parameters but sensitive to the model time horizon, underlying probability of syncope recurrence and prevalence of arrhythmias. CONCLUSIONS: Our model projected that early ICM for the diagnosis of unexplained syncope reduced long-term costs, and led to an improvement in overall clinical outcomes by shortening time to arrhythmia treatment. The cost of ICM was outweighed by savings arising from fewer downstream diagnostic episodes, and the increased cost of treatment was counterbalanced by fewer syncope-related event costs.

Monitoring patients receiving dopamine agonist therapy for hyperprolactinaemia.

The surveillance strategy for patients taking low dose cabergoline for hyperprolactinaemia is controversial. As more evidence has emerged that the risks of cardiac valvulopathy in this population of patients are low, fewer and fewer endocrinologists adhere strictly to the original medicines and healthcare products agency MHRA guidance of "at least" annual echocardiography. Strict adherence to this guidance would be costly in monetary terms (£5.76 million/year in the UK) and also in resource use (90,000 extra echocardiograms/year). This article reviews the proposed pathophysiological mechanism underlying the phenomenon of dopamine agonist valvulopathy, the characteristic echocardiographic changes seen, summarises the published literature on the incidence of valvulopathy with low dose cabergoline and examines the previous and current evidence-based screening guidelines.

Financial incentives and wearable activity monitors to increase ambulation after cystectomy: A randomized controlled trial.

OBJECTIVES: Financial incentive programs are effective in increasing physical activity for overweight, ambulatory adults. We sought to determine the potential effect size and direction of financial incentives on ambulation after radical cystectomy. MATERIALS AND METHODS: We performed a pilot randomized controlled trial of daily financial incentives to meet postoperative step goals among adults with Eastern Cooperative Oncology Group performance status ≤2 who underwent radical cystectomy for bladder cancer at a single center. Step counts were measured over a 3- to 14-day preoperative period and 30-day postoperative period using a wearable activity monitor. Postoperative daily step goals of 10%, 25%, 40%, and 55% of mean preoperative daily step counts were set for postoperative weeks 1 through 4, respectively. The primary outcome was the number of postoperative days on which the step goals were met. Secondary outcomes included the number of daily postoperative steps taken and the length of stay. Participants randomized to the intervention arm received $1.50 for every day the goal was met with a 20% chance of a $100 reward if the step goal was met on >75% of the first 30 postoperative days. Questionnaires assessing self-reported physical activity, disability, and social support were administered preoperatively at 30 days postoperatively. RESULTS: Thirty-three patients were analyzed, 11 in the control and 22 in the intervention arms. There were no statistically significant differences between incentive and control arms for the primary outcome (4.5/30 days vs. 9/30 days, P = 0.53). Results after adjusting for differences in baseline characteristics were similar (RR 1.00, 95% CI 0.24-4.19, P = 1.00). There were also no differences in average daily postoperative steps (median 979 vs. 1191, 95% CI -810 to 1,400, P = 0.59), length of stay (7.5 vs. 7, 95% CI -2.7 to 5.1, P = 0.56), or self-reported measures of disability, activity, and social support. CONCLUSIONS: While this trial was a pilot study and not powered to detect a difference between groups, there was no suggestion of any clinically important impact of this financial incentive on postoperative ambulation. While a fully-powered trial is feasible, given the small range of plausible benefit, such a trial would be unlikely to influence clinical practice.

Assessing the use of cell phones to monitor health and nutrition interventions: Evidence from rural Guatemala.

In-person (face-to-face) data collection methods offer many advantages but can also be time-consuming and expensive, particularly in areas of difficult access. We take advantage of the increasing mobile phone penetration rate in rural areas to evaluate the feasibility of using cell phones to monitor the provision of key health and nutrition interventions linked to the first 1,000 days of life, a critical period of growth and development. We examine response rates to calendarized text messages (SMS) and phone calls sent to 1,542 households over a period of four months. These households have children under two years old and pregnant women and are located across randomly selected communities in Quiche, Guatemala. We find that the overall (valid) response rate to phone calls is over 5 times higher than to text messages (75.8% versus 14.4%). We also test whether simple SMS reminders improve the timely reception of health services but do not find any effects in this regard. Language, education, and age appear to be major barriers to respond to text messages as opposed to phone calls, and the rate of response is not correlated with a household's geographic location (accessibility). Moreover, response veracity is high, with an 84-91% match between household responses and administrative records. The costs per monitored intervention are around 1.12 US dollars using text messages and 85 cents making phone calls, with the costs per effective answer showing a starker contrast, at 7.76 and 1.12 US dollars, respectively. Our findings indicate that mobile phone calls can be an effective, low-cost tool to collect reliable information remotely and in real time. In the current context, where in-person contact with households is not possible due to the COVID-19 crisis, phone calls can be a valuable instrument for collecting information, monitoring development interventions, or implementing brief surveys.

Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design.

Healthcare studies are moving toward individualised measurement. There is need to move beyond supervised assessments in the laboratory/clinic. Longitudinal free-living assessment can provide a wealth of information on patient pathology and habitual behaviour, but cost and complexity of equipment have typically been a barrier. Lack of supervised conditions within free-living assessment means there is need to augment these studies with environmental analysis to provide context to individual measurements. This paper reviews low-cost and accessible Internet of Things (IoT) technologies with the aim of informing biomedical engineers of possibilities, workflows and limitations they present. In doing so, we evidence their use within healthcare research through literature and experimentation. As hardware becomes more affordable and feature rich, the cost of data magnifies. This can be limiting for biomedical engineers exploring low-cost solutions as data costs can make IoT approaches unscalable. IoT technologies can be exploited by biomedical engineers, but more research is needed before these technologies can become commonplace for clinicians and healthcare practitioners. It is hoped that the insights provided by this paper will better equip biomedical engineers to lead and monitor multi-disciplinary research investigations.

A Smart Service Platform for Cost Efficient Cardiac Health Monitoring.

AIM: In this study we have investigated the problem of cost effective wireless heart health monitoring from a service design perspective. SUBJECT AND METHODS: There is a great medical and economic need to support the diagnosis of a wide range of debilitating and indeed fatal non-communicable diseases, like Cardiovascular Disease (CVD), Atrial Fibrillation (AF), diabetes, and sleep disorders. To address this need, we put forward the idea that the combination of Heart Rate (HR) measurements, Internet of Things (IoT), and advanced Artificial Intelligence (AI), forms a Heart Health Monitoring Service Platform (HHMSP). This service platform can be used for multi-disease monitoring, where a distinct service meets the needs of patients having a specific disease. The service functionality is realized by combining common and distinct modules. This forms the technological basis which facilitates a hybrid diagnosis process where machines and practitioners work cooperatively to improve outcomes for patients. RESULTS: Human checks and balances on independent machine decisions maintain safety and reliability of the diagnosis. Cost efficiency comes from efficient signal processing and replacing manual analysis with AI based machine classification. To show the practicality of the proposed service platform, we have implemented an AF monitoring service. CONCLUSION: Having common modules allows us to harvest the economies of scale. That is an advantage, because the fixed cost for the infrastructure is shared among a large group of customers. Distinct modules define which AI models are used and how the communication with practitioners, caregivers and patients is handled. That makes the proposed HHMSP agile enough to address safety, reliability and functionality needs from healthcare providers.

An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach.

The optimal post-treatment surveillance strategy that can detect early recurrence of a cancer within limited visits remains unexplored. Here we adopt nasopharyngeal carcinoma as the study model to establish an approach to surveillance that balances the effectiveness of disease detection versus costs. A total of 7,043 newly-diagnosed patients are grouped according to a clinic-molecular risk grouping system. We use a random survival forest model to simulate the monthly probability of disease recurrence, and thereby establish risk-based surveillance arrangements that can maximize the efficacy of recurrence detection per visit. Markov decision-analytic models further validate that the risk-based surveillance outperforms the control strategies and is the most cost-effective. These results are confirmed in an external validation cohort. Finally, we recommend the risk-based surveillance arrangement which requires 10, 11, 13 and 14 visits for group I to IV. Our surveillance strategies might pave the way for individualized and economic surveillance for cancer survivors.

Estimating the net return of a remote calving alarm system in a dairy farm.

The aim of the study was to evaluate the net return of the implementation of a remote calving monitoring system for obstetrical and neonatal assistance on the herd economy in a dairy farm model. A total of 680 parturitions over a 7-yr period were evaluated. Age at first calving was restricted from 23 to 27 mo for primiparous cows to be included. Among groups of cows that were ready to calve in a 15-d interval, primiparous and multiparous were randomly assigned to the experimental group and monitored through a calving alarm system, whereas the others accounted for controls. Final parturition groups were as follows: control primiparous (CPP, n = 218), control multiparous (CM, n = 345), monitored primiparous (MPP, n = 56), and monitored multiparous (MM, n = 61). Monitored groups received prompt calving assistance and first neonatal care, whereas the presence of farm personnel was discontinuous for controls. A biological model was built considering significant differences in calf loss, early culling, milk production, and days open between groups. Then, a partial budget model was used to estimate costs and net return on a simulated herd of 100 lactating cows. Incidence of calf death was greater in control groups (11.06% and 10.73% in CPP and CM, respectively) compared with monitored cows (0.00% and 1.69% in MPP and MM, respectively). Multiparous cows with calf loss had increased relative risk (relative risk = 3.487) for early culling compared with multiparous counterparts with no neonatal loss. Daily milk production in the first 2 mo was 3.79 kg greater in multiparous cows with no dead calf, compared with their counterparts. A significant difference in median days open was found in MPP and CPP (118 and 148 d, respectively). In the final economic model, different simulations were analyzed. They were created assuming different prices or hypothesizing calving monitoring only in primiparous animals. The model estimated different, but always positive, net return. In conclusion, implementing a calving alarm system led to a net return from €37 to 90 per cow per year (€1 = US$1.15 at the time of the study). However, the device alone is not sufficient: it must be supported by qualified calving monitoring and assistance. Optimized personnel presence in the calving area at the right time leads to prompt calving and neonatal calf assistance and colostrum feeding within the first hours of life, thus reducing calf death and days open, and increasing milk production.

Proposed guidelines for screening of hyperglycemia in patients hospitalized with COVID-19 in low resource settings.

BACKGROUND AND AIMS: The coronavirus disease 2019 (COVID-19) pandemic has immensely strained healthcare systems worldwide. Diabetes has emerged as a major comorbidity in a large proportion of patients infected with COVID-19 and is associated with poor health outcomes. We aim to provide a practical guidance on screening of hyperglycemia in persons without known diabetes in low resource settings. METHODS: We reviewed the available guidelines on this subject and proposed an algorithm based on simple measures of blood glucose (BG) which can be implemented by healthcare workers with lesser expertise in low resource settings. RESULTS: We propose that every hospitalized patient with COVID-19 infection undergo a paired capillary BG assessment (pre-meal and 2-h post-meal). Patients with pre-meal BG < 7.8 mmol/L (140 mg/dL) and post-meal BG < 10.0 mmol/L (180 mg/dL) may not merit further monitoring. On the other hand, those with one or more value above these thresholds should undergo capillary BG monitoring (pre-meals and 2 hours after dinner) for the next 24 hours. When two or more (≥50%) such values are significantly elevated [pre-meal ≥8.3 mmol/L (150 mg/dL) and post-meal ≥11.1 mmol/L (200 mg/dL)], pharmacotherapy should be immediately initiated. On the other hand, in patients with modest elevation of one or more values [pre-meal 7.8-8.3 mmol/L (140-150 mg/dL) and post-meal 10.0-11.1 mmol/L (180-200 mg/dL)], dietary modifications should be initiated and pharmacotherapy considered only if BG control remains suboptimal. CONCLUSION: We highlight strategies for screening of hyperglycemia in persons without known diabetes treated for COVID-19 infection in low resource settings. This guidance may well be applied to other settings in the near future.

Trends in utilization and spending on remote monitoring of pacemakers and implantable cardioverter-defibrillators among Medicare beneficiaries.

BACKGROUND: National trends and costs associated with remote and in-office interrogations of pacemakers and implantable cardioverter-defibrillators (ICDs) have not been previously described. OBJECTIVE: The purpose of this study was to evaluate utilization and Medicare spending for remote monitoring and in-office interrogations for pacemakers and ICDs. METHODS: We performed a retrospective cohort study of claims and spending for remote and in-office interrogations of pacemakers and ICDs for Medicare fee-for-service beneficiaries from 2012 to 2015. Aggregate and per-beneficiary claims and spending were calculated for each device type. RESULTS: Among all patients, 41.9% were female and the mean age was 78.3 years. From 2012 to 2015, remote monitoring utilization increased sharply. Aggregate professional remote monitoring claims for pacemakers increased by 61.3% and for ICDs by 5.6%, with an increase in technical claims (combined for pacemakers and ICDs) of 32.8%. Spending on all remote and in-office interrogations for these devices totaled $160 million per year, with remote costs increasing nearly 25% from $45.4 million in 2012 to $56.7 million in 2015. At the beneficiary level, remote interrogations increased for pacemakers from 0.6 to 0.9 per year, and for ICDs from 1.3 to 1.4 per year, whereas in-office interrogations decreased from 2.8 to 2.7 per year and from 3.0 to 2.9 per year, respectively. Beneficiary-level analysis revealed increased expenditures on remote interrogation offset by decreases in in-office expenditures, with total annual spending decreasing by $2 and $5 per beneficiary, respectively. CONCLUSION: Remote monitoring utilization increased substantially from 2012 to 2015, whereas annual costs per beneficiary decreased.

Evaluation and treatment of glaucoma 24hours a day. Where are we and where are we going? / Evaluación y tratamiento del glaucoma durante las 24 horas del día. ¿Dónde estamos y hacia dónde vamos?

Current management of glaucoma generally involves medical, laser, or surgical treatment in order to achieve an intraocular pressure (IOP) control which is commensurate with either stability or delayed progression of the disease. Although the follow-up of glaucoma patients is usually carried out with sporadic and isolated intraocular pressure measurements, the literature already indicates that this might not the best option to manage glaucoma patients. This article reviews the importance of 24hours intraocular pressure monitoring based on studies and publications that exist in this regard to date. A critical review on the methodology of these publications has been conducted. The need is stressed for further studies on the intraocular pressure patterns in different types of glaucoma, as well as the pattern with different therapies used in glaucoma aimed at optimising the management of the disease.

Cost utility analysis of continuous and intermittent versus intermittent vital signs monitoring in patients admitted to surgical wards.

Background: Complications after surgical procedures are common and can lead to a prolonged hospital stay, increased rates of postoperative hospital readmission, and increased mortality. Monitoring vital signs is an effective way to identify patients who are experiencing a deterioration in health. SensiumVitals is wireless system that includes a lightweight, digital patch that monitors vital signs at two minute intervals, and has shown promise in the early identification of patients at high risk of deterioration.Objective: To evaluate the cost-utility of continuous monitoring of vital signs with SensiumVitals in addition to intermittent monitoring compared to the usual care of patients admitted to surgical wards.Methods: A de novo decision analytic model, based on current treatment pathways, was developed to estimate the costs and outcomes. Results from randomised clinical trials and national standard sources were used to inform the model. Costs were estimated from the NHS and PSS perspective. Deterministic and probabilistic sensitivity analyses (PSA) were conducted to explore uncertainty surrounding input parameters.Results: Over a 30-day time horizon, intermittent monitoring in addition to continuous monitoring of vital signs with SensiumVitals was less costly than intermittent vital signs monitoring alone. The total cost per patient was £6,329 versus £5,863 for the comparator and intervention groups respectively and the total effectiveness per patient was 0.057 QALYs in each group. Results from the PSA showed that use of SensiumVitals in addition to intermittent monitoring has 73% probability of being cost-effective at a £20,000 willingness-to-pay threshold and 73% probability of being cost-saving compared to the comparator. Cost savings were driven by reduced costs of hospital readmissions and length of stays in hospital.Conclusions: Use of SensiumVitals as a postoperative intervention for patients on surgical wards is a cost-saving and cost-effective strategy, yielding improvements in recovery with decreased health resource use.Key Points for Decision MakersSensiumVitals has the potential to reduce the length of postoperative hospital stay, readmission rates, and associated costs in postoperative patients.In this study, SensiumVitals has been found to be a cost-saving (dominant) and cost-effective (dominant) intervention for monitoring the vital signs of surgical patients postoperatively.