Background: Life cycle costing (LCC) is an excellent decision-making tool that can assist a hospital administrator in seeking more cost-effective decisions to select the best course of action. LCC can be defined as “an economic assessment of competing design alternatives, considering all significant costs of ownership over the economic life of each alternative, expressed in equivalent rupees. Aim: To determine the LCC of magnetic resonance imaging (MRI) machine at a tertiary care teaching hospital. Settings and Design: A descriptive, observational study in MRI scan center of a tertiary care teaching hospital. Materials and Methods: LCC analysis (LCCA) was performed to ensure total cost visibility for the entire life span of the MRI scan equipment, which was assumed to be 10 years. Statistical Analysis: Data were analyzed using MS Excel. Results and Conclusions: The total cost per MRI scan was calculated to be Rs. 2944. It was estimated that the MRI scan center would reach the break-even point by the end of the third year.
Background: Informational discontinuity can have far reaching consequences like medical errors, increased rehospitalization rates and adverse events among others. Thus the holy grail of seamless informational continuity in healthcare has been an enigma with some nations going the digital way. Digitization in healthcare in India is fast catching up. The current study explores the components of informational continuity, its impact on clinical decision-making and captures the general perception among the doctors towards a digital solution. Methods: Cross-sectional study with snowball sampling. A survey questionnaire was developed and validated through a pilot study, then circulated through online platforms. Responses from doctors were obtained through an online Google form for a period of 3 months and analyzed using SPSS 20. The categorical variables were analyzed using Chi-square test. Results: 1413 responses were obtained through a national level survey. Respondents were from a wide range of work experiences, locations, sectors, specialties and patient load. Components of patient records like clinical notes, investigation reports, previous diagnosis and treatment details were rated to be very important. 41% reported about half and 20% reported about 3/4th of their patients do not bring relevant records. Patients from rural areas, visiting state government hospitals and visiting general practitioners were less likely to bring relevant records during consultations. The fallouts of not having timely relevant patient information of the patients include more time per patient, repeat investigations, difficulty to arrive at definitive diagnosis, difficulty to take further treatment decisions and impaired overall clinical decision making which were said to be significant by respondents across the spectrum. The benefits of having timely relevant patient information were also reported consistently across the spectrum. An overwhelming proportion (83%), from across the spectrum, unequivocally expressed their willingness to use digital platforms for accessing patients' relevant medical records. Conclusion: Prevalence of informational discontinuity and its impact on clinical decision making is significant with definite benefits of having timely relevant medical history. There is strong willingness among the doctors to use digital solution(s) without any extra investment or effort on their part making customized solutions pertinent.
Background: A lively, dynamic and interactive feedback system that can connect all the stakeholders and engage them in a sustainable loop of seamless information flow is quintessential for any organization with significant public interface. It is important to balance the asymmetry in the patient doctor relationship and empower the patients. Methodology: In this regard, process mapping of existing system was done. Ethnographic methods were used with triangulation of data for validity. Three key bottlenecks were identified; the system to collect feedback, the feedback form itself and the overall mindset about the feedback system. A de novo, systematic approach akin to the PDSA (Plan-Do-Study-Act) steps in quality improvement was adopted to create a new feedback system and its continuous incremental improvements thereon. Results: Short, attractive form with interactive emoticons graded over a likert scale was created and made accessible through standalone kiosks across the institute. Key attention to ease of access, minimizing the number of clicks, removing human interface and providing SMS/E-mail acknowledgement to feedbacks have all contributed to sustainability of the new system with consistently high turn-out/participation. Conclusion: Designing a customized, hospital specific feedback system rooted more in the experiences on ground is more sustainable and reliable rather than standardized surveys. The same has been reiterated in literature. They can also be used to assess the impact of new interventions. Robust feedback systems can be envisioned as part of accreditation and continuous quality improvement.
Background One of the challenges has been coping with an increasing need for COVID-19 testing. A COVID-19 screening and testing facility was created. There was a need for increasing throughput of the facility within the existing space and limited resources. Discrete event simulation was used to address this challenge. Methodology A cross-sectional interventional study was done from September 2020 to October 2020. Detailed process mapping with all micro-processes was done. Patient arrival patterns and time taken at each step were measured by two independent observers at random intervals over two weeks. The existing system was simulated and a bottleneck was identified. Two possible alternatives to the problem were simulated and evaluated. Results Scenario 1 showed a maximum throughput of 316. The average milestone times of all the processes after the step of “Preparation of sampling kits” jumped 62%; from 82 to 133 min. Staff state times also showed that staff at this step was stretched and medical lab technicians were underutilized. Scenario 2 simulated the alternative with lesser time spent on sampling kit preparation with a 22.4% increase in throughput, but could have led to impaired quality check. Scenario 3 simulated with increased manpower at the stage of bottleneck with 26.5% increase in throughput and was implemented on-ground. Conclusion Discrete event simulation helped to identify the bottleneck, simulate possible alternative solutions without disturbing the ongoing work, and finally choose the most suitable intervention to increase throughput, without the need for additional space allocation. It therefore helped to optimally utilize resources and get “more from less.”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.