Healthcare Technology Innovation Research Articles

Implementation of Scrum in the manufacture of non-invasive blood sugar detection devices using PPG signals

This study presents the effective integration of Scrum methodology in the production process of non-invasive blood sugar testing devices using Photoplethysmography (PPG) signals. During three months, a team consisting of a Product Owner, Scrum Master, and Developer Team successfully utilized Scrum's agile structure to manage the challenges of PPG signal processing, hardware integration, and software development. The repeated sprint cycles enabled swift adjustment to new obstacles and stakeholder input, guaranteeing both effectiveness and agility in the development process. The dynamic approach facilitated both the punctual delivery of complex medical equipment and the cultivation of a culture focused on ongoing enhancement, establishing a model for the future use of agile approaches in healthcare technology. The successful implementation highlights the effectiveness of Scrum in managing the complexities of medical device development. It provides a model for improving non-invasive blood sugar detection devices and establishes agile methodologies as a key driver of innovation in healthcare technology.

Analysis of the Use of Hospital Management Information Systems with Jobs to be Done to Increase Innovation Simplifying Administrative Processes at CHP Hospitals

The Hospital Management Information System (HMIS) must be developed and implemented in every hospital, in accordance with Minister of Health Regulation Number 82 of 2013, to provide the best service to the Indonesian public, the quality of hospital services must be continuously improved. The management of patient information, data, data processing, and all activities related to a good hospital depend heavily on this. It is important to understand how the implementation of the Hospital Management Information System can improve healthcare service standards in Indonesia after its implementation. Thirty-two samples were used in this study, and SEM-PLS data were analyzed using the Jobs To Be Done approach. The findings indicate that human, organizational structure, and system usage within the Hospital Management Information System (HMIS) can enhance healthcare technology innovation by simplifying administration in hospital services.

Development Pattern of Medical Device Technology and Regulatory Evolution of Cataract Treatment

To prevent regulation from becoming an obstacle to healthcare technological innovation, regulation should evolve as new healthcare technologies are developed. Although regulation is closely related to healthcare technology development, there are few studies that view healthcare technological advances from the multi-layered perspective of papers, patents, and clinical research and link this with regulatory evolution. Therefore, this study tried to develop a new method from a multi-layer perspective and draw regulatory implications based on it. This study applied this method to intraocular lens (IOLs) for cataract treatment and detected four major healthcare technologies and two recent healthcare technologies. Moreover, it discussed how current regulations evaluate these technologies. The findings provide implications for healthcare technological advances and the evolutionary direction of regulation through the example of IOLs for cataract treatment. This study contributes to the development of theoretical methods for co-evolution with regulations based on healthcare technology innovation.

A Case for the Use of Artificial Intelligence in Glaucoma Assessment

We hypothesize that artificial intelligence (AI) applied to relevant clinical testing in glaucoma has the potential to enhance the ability to detect glaucoma. This premise was discussed at the recent Collaborative Community on Ophthalmic Imaging meeting, "The Future of Artificial Intelligence-Enabled Ophthalmic Image Interpretation: Accelerating Innovation and Implementation Pathways," held virtually September 3-4,2020. The Collaborative Community on Ophthalmic Imaging (CCOI) is an independent self-governing consortium of stakeholders with broad international representation from academic institutions, government agencies, and the private sector whose mission is to act as a forum for the purpose of helping speed innovation in healthcare technology. It was 1 of the first 2 such organizations officially designated by the Food and Drug Administration in September 2019 in response to their announcement of the collaborative community program as a strategic priority for 2018-2020. Further information on the CCOI can be found online at their website (https://www.cc-oi.org/about). Artificial intelligence for glaucoma diagnosis would have high utility globally, because access to care is limited in many parts of the world and half of all people with glaucoma are unaware of their illness. The application of AI technology to glaucoma diagnosis has the potential to broadly increase access to care worldwide, in essence flattening the Earth by providing expert-level evaluation to individuals even in the most remote regions of the planet.

Validation of Computer-Aided Diagnosis of Diabetic Retinopathy from Retinal Photographs of Diabetic Patients from Telecamps

Objective: To validate an algorithm previously developed by the Healthcare Technology Innovation Centre, IIT Madras, India for screening of diabetic retinopathy (DR), in fundus images of diabetic patients from telecamps to examine the screening performance for DR. Design: Photographs of patients with diabetes were examined using the automated algorithm for the detection of DR Setting: Mobile Teleophthalmology camps were conducted in two districts in Tamil Nadu, India from Jan 2015 to May 2017. Participants: 939 eyes of 472 diabetic patients were examined at Mobile Teleophthalmology camps in Thiruvallur and Kanchipuram districts, Tamil Nadu, India,. Fundus images were obtained (40-45-degree posterior pole in each eye) for all patients using a nonmydriatic fundus camera by the fundus photographer. Main Outcome Measures: Fundus images were evaluated for presence or absence of DR using a computer-assisted algorithm, by an ophthalmologist at a tertiary eye care centre (reference standard) and by a fundus photographer. Results: The algorithm demonstrated 85% sensitivity and 80% specificity in detecting DR compared to ophthalmologist. The area under the receiver operating characteristic curve was 0.69 (95%CI=0.65 to 0.73). The algorithm identified 100% of vision-threatening retinopathy just like the ophthalmologist. When compared to the photographer, the algorithm demonstrated 81% sensitivity and 78% specificity. The sensitivity of the photographer to detect DR was found to be 86% and specificity was 99% in detecting DR compared to ophthalmologist. Conclusions: The algorithm can detect the presence or absence of DR in diabetic patients. All findings of vision-threatening retinopathy could be detected with reasonable accuracy and will help to reduce the workload for human graders in remote areas.

Unlocking Innovation: How Full Stack Development is Reshaping Healthcare Technology

This paper explores the transformative impact of full stack development on healthcare technology innovation. As the healthcare industry increasingly relies on digital solutions to enhance patient care, full stack development emerges as a powerful approach to streamline processes, improve efficiency, and foster innovation. By integrating front-end and back-end development skills, full stack developers create comprehensive solutions that address the complex challenges of healthcare technology. This paper examines key trends, challenges, and opportunities associated with full stack development in healthcare, highlighting its potential to revolutionize the delivery of medical services and improve patient outcomes.

Technological Innovation in Healthcare: Disrupting Old Systems to Create More Value for African American Patients in Academic Medical Centers

Healthcare in the United States (U.S.) has made incredible advances, but inefficiency and high costs continue to permeate the system. Urban and underserved communities face the greatest array of healthcare problems including the need to improve the quality of care provided them, disproportionate levels of poverty among different groups in the U.S., and the number of unhealthy people disproportionately represented by mostly African American and Hispanic populations. Academic medical centers (AMCs) are major community stakeholders who work to fulfill the increasing healthcare demands of underserved communities. With the tripartite mission of delivering high quality care to patients, undertaking clinical and laboratory research, and training future health professionals, AMCs have a unique ability to address health concerns of the most vulnerable populations. Innovations in healthcare technology are critical to ensure that AMCs properly address health disparities and the specific health concerns of rapidly growing African American populations. Awareness of these disparities may lead to improved processes and protocol implementation, which can promote innovation and quality improvement to allow AMCs to remain a key player in addressing population-based clinical research, quality of care, and health disparities nationwide.

Sensing Technology to Monitor Behavioral and Psychological Symptoms and to Assess Treatment Response in People With Dementia. A Systematic Review.

BackgroundThe prevalence of dementia is expected to rapidly increase in the next decades, warranting innovative solutions improving diagnostics, monitoring and resource utilization to facilitate smart housing and living in the nursing home. This systematic review presents a synthesis of research on sensing technology to assess behavioral and psychological symptoms and to monitor treatment response in people with dementia.MethodsThe literature search included medical peer-reviewed English language publications indexed in Embase, Medline, Cochrane library and Web of Sciences, published up to the 5th of April 2019. Keywords included MESH terms and phrases synonymous with “dementia”, “sensor”, “patient”, “monitoring”, “behavior”, and “therapy”. Studies applying both cross sectional and prospective designs, either as randomized controlled trials, cohort studies, and case-control studies were included. The study was registered in PROSPERO 3rd of May 2019.ResultsA total of 1,337 potential publications were identified in the search, of which 34 were included in this review after the systematic exclusion process. Studies were classified according to the type of technology used, as (1) wearable sensors, (2) non-wearable motion sensor technologies, and (3) assistive technologies/smart home technologies. Half of the studies investigated how temporarily dense data on motion can be utilized as a proxy for behavior, indicating high validity of using motion data to monitor behavior such as sleep disturbances, agitation and wandering. Further, up to half of the studies represented proof of concept, acceptability and/or feasibility testing. Overall, the technology was regarded as non-intrusive and well accepted.ConclusionsTargeted clinical application of specific technologies is poised to revolutionize precision care in dementia as these technologies may be used both by patients and caregivers, and at a systems level to provide safe and effective care. To highlight awareness of legal regulations, data risk assessment, and patient and public involvement, we propose a necessary framework for sustainable ethical innovation in healthcare technology. The success of this field will depend on interdisciplinary cooperation and the advance in sustainable ethic innovation.Systematic Review RegistrationPROSPERO, identifier CRD42019134313.

Syndesmotic Fixation Utilizing a Novel Metal Screw: A Retrospective Case Series Reporting Early Clinical and Radiographic Outcomes

Category:AnkleIntroduction/Purpose:Syndesmotic disruption occurs in nearly 1 in 5 ankle fractures and requires anatomic reduction and internal stabilization to maximize functional outcomes. There is growing evidence to support retaining syndesmotic hardware from both a functional and economic standpoint. However, although broken screws are typically of little consequence, the location of screw breakage can be unpredictable and cause painful bony erosion and difficulty with extraction. The purpose of this investigation is to report early clinical and radiographic outcomes of patients who underwent syndesmotic fixation using a novel metal screw with a more predictable break point and design features to allow for easier extraction.Methods:We performed a retrospective review of all consecutive patients who underwent syndesmotic fixation utilizing the novel syndesmotic screw over a one year period. Demographic data were obtained such as age, gender, fracture classification and relevant comorbidities. Screw specific data were obtained such as number of screws utilized and length. Screw loosening or breakage was documented. Postoperative radiographs were reviewed and tibiofibular overlap, tibiofibular clear space and medial clear space were measured.Results:18 patients met inclusion criteria. Mean length of clinical follow-up was 4.67 months (range 0.5 to 8.5 months). Per the Lauge Hansen classification, 14 injuries were supination external rotation type, two were pronation abduction and two pronation external rotation type. Three screws (12.5%) fractured at the break point with no screws fracturing at a different location. 21 screws did not fracture with 10 (42%) of the screws demonstrated to be loose. There was no evidence of syndesmotic diastasis or mortise malalignment on final follow up of the cohort. No screws required removal during the study period. There were no other complications of any type (Table 1).Conclusion:Early reporting of outcomes is essential to maximize both safety and value in healthcare technology innovation. This study provides the first clinical data on a novel alternative to traditional screws and suture button devices for fixation of syndesmotic injuries. At short-term follow up, there were no complications and the novel screw provided adequate fixation to allow healing and prevent diastasis. While initial results are favorable, longer term follow-up is required to determine whether this novel implant can reduce rates of symptomatic hardware requiring removal, which could ultimately make them more cost- effective than suture-button fixation.

ITEMAS ontology for healthcare technology innovation

BackgroundThe Platform for Innovation in Medical and Health Technologies (ITEMAS) is a network of 66 healthcare centres focused on fostering innovation in medical and health technologies as an essential tool for increasing the sustainability of the Spanish healthcare system. The present research is focused on defining a formal representation that details the most relevant concepts associated with the creation and adoption of innovative medical technology in the Spanish healthcare system.MethodsThe methodology applied is based on the methontology process, including peer-review identification and selection of concepts from the ITEMAS innovation indicators and innovation management system standards. This stage was followed by an iterative validation process. Concepts were then conceptualised, formalised and implemented in an ontology.ResultsThe ontology defined describes how relationships between employees, organisations, projects and ideas can be applied to generate results that are transferrable to the market, general public and scientific forums. Overall, we identified 136 concepts, 138 object properties and 30 properties in a five-level hierarchy. The ontology was tested and validated as an appropriate framework for calculating the ITEMAS innovation indicators.ConclusionsThe consensus concepts were expressed in the form of an ontology to be used as a single communication format between the members of the ITEMAS network. Healthcare centres can compare their innovation results and obtain a better understanding of their innovation context based on the reasoning techniques of artificial intelligence. As a result, they can benefit from advanced analytical capabilities to define the most appropriate innovation policies for each centre based on the common experience of the large number of healthcare centres involved. The results can be used to create a map of agents and knowledge to show capabilities, projects and services provided by each of the participating centres. The ontology could also be applied as an instrument to match needs with existing projects and capabilities from the community of organisations working in healthcare technology innovation.

Challenges in developing collaborative interdisciplinary research between gastroenterologists and engineers

The role of technology in healthcare is rapidly evolving. However, it can be argued that gastroenterology has not kept pace with other medical fields due to the multifaceted needs of this speciality and other issues. Innovation in healthcare technology increasingly requires interdisciplinary collaboration between engineers and clinicians. Nevertheless, working in such an interdisciplinary environment can be challenging due to factors such as working culture, communication and difference in priorities. We surveyed the views of clinicians specialising in gastroenterology and engineers on interdisciplinary health research. The 21 respondents expressed a range of opinions on the perceived benefits and challenges of interdisciplinary collaboration. Though engineers and clinicians recognised its advantages, they expressed a need for further improvement. However, engineers and clinicians differed in how best this could be achieved. The results of this survey are discussed with reference to the literature on interdisciplinary collaboration.

The evolution of robotic surgery: surgical and anaesthetic aspects

Robotic surgery pushes the frontiers of innovation in healthcare technology towards improved clinical outcomes. We discuss the evolution to five generations of robotic surgical platforms including stereotactic, endoscopic, bioinspired, microbots on the millimetre scale, and the future development of autonomous systems. We examine the challenges, obstacles and limitations of robotic surgery and its future potential including integrated real-time anatomical and immune-histological imaging and data assimilation with improved visualisation, haptic feedback and robot-surgeon interactivity. We consider current evidence, cost-effectiveness and the learning curve in relation to the surgical and anaesthetic journey, and what is required to continue to realise improvements in surgical operative care. The innovative impact of this technology holds the potential to achieve transformative clinical improvements. However, despite over 30 yr of incremental advances it remains formative in its innovative disruption.

PHP181 - Crowdsourcing Healthcare Technology Innovation: The Use Of Open Competitions To Pursue Novel Healthcare Technology Solutions

PHP181 - Crowdsourcing Healthcare Technology Innovation: The Use Of Open Competitions To Pursue Novel Healthcare Technology Solutions

IEEE Medal for Innovations in Healthcare Technology

IEEE Medal for Innovations in Healthcare Technology

A New Model for Graduate Education and Innovation in Medical Technology

We describe a new model of graduate education in bioengineering innovation and design- a year long Master's degree program that educates engineers in the process of healthcare technology innovation for both advanced and low-resource global markets. Students are trained in an iterative "Spiral Innovation" approach that ensures early, staged, and repeated examination of all key elements of a successful medical device. This includes clinical immersion based problem identification and assessment (at Johns Hopkins Medicine and abroad), team based concept and business model development, and project planning based on iterative technical and business plan de-risking. The experiential, project based learning process is closely supported by several core courses in business, design, and engineering. Students in the program work on two team based projects, one focused on addressing healthcare needs in advanced markets and a second focused on low-resource settings. The program recently completed its fourth year of existence, and has graduated 61 students, who have continued on to industry or startups (one half), additional graduate education, or medical school (one third), or our own Global Health Innovation Fellowships. Over the 4 years, the program has sponsored 10 global health teams and 14 domestic/advanced market medtech teams, and launched 5 startups, of which 4 are still active. Projects have attracted over US$2.5M in follow-on awards and grants, that are supporting the continued development of over a dozen projects.

Intercâmbio acadêmico cultural internacional: uma experiência de crescimento pessoal e científico

Este estudo objetivou descrever a experiência discente ao integrar um programa de mobilidade acadêmica internacional, durante a graduação em enfermagem. Trata-se de relato da vivência acadêmica em Portugal, na Universidade do Algarve, viabilizada pela Universidade Federal de Santa Maria, Rio Grande do Sul, Brasil. A experiência de intercâmbio realizada no período de seis meses, possibilitou a aquisição de novos conhecimentos científicos e culturais, inclusive inovações de tecnologias em saúde, desenvolvimento de pesquisa e vínculos acadêmicos. Como contribuições, espera-se estimular e intensificar a mobilidade internacional especialmente no âmbito da graduação, considerando a sua importância para o aperfeiçoamento da formação acadêmica e a excelência do ensino superior brasileiro por meio do intercâmbio científico e cultural no exterior.

The Contribution of Innovation to Health Care Costs: At Least 50%?

This paper is primarily concerned with estimating an upper bound for the contribution of technological progress on health care costs as motivated by the recent debate on U.S. health care reform. We critically address whether technology is at least 50% of the increase in health care costs as proposed recently in the literature. The desire to reduce costs in the health care system combined with estimates that technological change is the major contributor to those costs has led some to propose policies with the ultimate effect of discouraging innovation in health care technology. In this paper we show that more appropriate econometric procedures lead to estimates of technology’s role in health care costs which are significantly less than other published results.Using only U.S. time-series data we estimate an upper bound for the contribution of innovation to health care costs. Our model follows that of the Congressional Budget Office’s (CBO) 2008 report and uses identical data, but finds that the contribution of technological progress is 32.3% – significantly smaller than what the CBO estimates. Even this value can only represent an upper bound, as there remain important factors which have been omitted from the study primarily due to data unavailability.

IEEE Medal for Innovations in Healthcare Technology

IEEE Medal for Innovations in Healthcare Technology

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A*STAR Scientist Receives International Award for Innovation in Healthcare Technology. Six Clinician Scientists Receive Funding Support for Translational and Clinical Research. Japanese Stem Cell Scientist Wins Kyoto Prize. BIOTEC Researcher Wins Great Gigabase Grant.

IEEE Medal for innovations in Healthcare Technology

IEEE Medal for innovations in Healthcare Technology