Dataset Information

DripOMeter: An open-source opto-electronic system for intravenous (IV) infusion monitoring.

ABSTRACT: Intravenous (IV) infusion is a common medical procedure which involves the administration of fluids directly into the blood stream typically through a vein in the arm of the patient. Though gravity fed IV-drip is a safe, effective and an affordable tool, yet several complications can arise in its usage and thus requires constant monitoring. In this paper, a solution is presented for infusion monitoring based on detection of drops falling through the drip chamber. The system presented here accurately tracks the fluid flow and assists the users in monitoring the infusion sessions. The system generates alarm upon detecting significant deviation from set drip rate. The system keeps track of total volume infused and alerts when a desired volume is about to be administered. The device offers a solution to reduce the risks associated with the IV infusion therapy especially in low-resource setting and provide peace of mind to caregivers.

SUBMITTER: Venkatesh K

PROVIDER: S-EPMC9418544 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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DripOMeter: An open-source opto-electronic system for intravenous (IV) infusion monitoring.

Venkatesh Kavyashree K Alagundagi Sourabh Suresh SS Garg Vikas V Pasala Krupakar K Karia Deval D Arora Manish M

HardwareX 20220809

Intravenous (IV) infusion is a common medical procedure which involves the administration of fluids directly into the blood stream typically through a vein in the arm of the patient. Though gravity fed IV-drip is a safe, effective and an affordable tool, yet several complications can arise in its usage and thus requires constant monitoring. In this paper, a solution is presented for infusion monitoring based on detection of drops falling through the drip chamber. The system presented here accura ...[more]

PMID: 36039318

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Project description:BackgroundThe need for palliative care in sub-Saharan Africa is staggering: this region shoulders over 67% of the global burden of HIV/AIDS and cancer. However, provisions for these essential services remain limited and poorly integrated with national health systems in most nations. Moreover, the evidence base for palliative care in the region remains scarce. This study chronicles the development and evaluation of DataPall, an open-source electronic medical records system that can be used to track patients, manage data, and generate reports for palliative care providers in these settings.DataPall was developed using design criteria encompassing both functional and technical objectives articulated by hospital leaders and palliative care staff at a leading palliative care center in Malawi. The database can be used with computers that run Windows XP SP 2 or newer, and does not require an internet connection for use. Subsequent to its development and implementation in two hospitals, DataPall was tested among both trained and untrained hospital staff populations on the basis of its usability with comparison to existing paper records systems as well as on the speed at which users could perform basic database functions. Additionally, all participants evaluated this program on a standard system usability scale.ResultsIn a study of health professionals in a Malawian hospital, DataPall enabled palliative care providers to find patients' appointments, on average, in less than half the time required to locate the same record in current paper records. Moreover, participants generated customizable reports documenting patient records and comprehensive reports on providers' activities with little training necessary. Participants affirmed this ease of use on the system usability scale.ConclusionsDataPall is a simple, effective electronic medical records system that can assist in developing an evidence base of clinical data for palliative care in low resource settings. The system is available at no cost, is specifically designed to chronicle care in the region, and is catered to meet the technical needs and user specifications of such facilities.

Project description:Algorithms for intravenous insulin infusion may assign the infusion rate (IR) by a two-step process. First, the previous insulin infusion rate (IR(previous)) and the rate of change of blood glucose (BG) from the previous iteration of the algorithm are used to estimate the maintenance rate (MR) of insulin infusion. Second, the insulin IR for the next iteration (IR(next)) is assigned to be commensurate with the MR and the distance of the current blood glucose (BG(current)) from target. With use of a specific set of algorithm parameter values, a family of iso-MR curves is created, each giving IR as a function of MR and BG.To test the feasibility of estimating MR from the IR(previous) and the previous rate of change of BG, historical hyperglycemic data points were used to compute the "maintenance rate cross step next estimate" (MR(csne)). Historical cases had been treated with intravenous insulin infusion using a tabular protocol that estimated MR according to column-change rules. The mean IR on historical stable intervals (MR(true)), an estimate of the biologic value of MR, was compared to MR(csne) during the hyperglycemic iteration immediately preceding the stable interval. Hypothetically calculated MR(csne)-dependent IR(next) was compared to IR(next) assigned historically. An expanded theory of an algorithm is developed mathematically. Practical recommendations for computerization are proposed.The MR(true) determined on each of 30 stable intervals and the MR(csne) during the immediately preceding hyperglycemic iteration differed, having medians with interquartile ranges 2.7 (1.2-3.7) and 3.2 (1.5-4.6) units/h, respectively. However, these estimates of MR were strongly correlated (R(2) = 0.88). During hyperglycemia at 941 time points the IR(next) assigned historically and the hypothetically calculated MR(csne)-dependent IR(next) differed, having medians with interquartile ranges 4.0 (3.0-6.0) and 4.6 (3.0-6.8) units/h, respectively, but these paired values again were correlated (R(2) = 0.87). This article describes a programmable algorithm for intravenous insulin infusion. The fundamental equation of the algorithm gives the relationship among IR; the biologic parameter MR; and two variables expressing an instantaneous rate of change of BG, one of which must be zero at any given point in time and the other positive, negative, or zero, namely the rate of change of BG from below target (rate of ascent) and the rate of change of BG from above target (rate of descent). In addition to user-definable parameters, three special algorithm parameters discoverable in nature are described: the maximum rate of the spontaneous ascent of blood glucose during nonhypoglycemia, the glucose per daily dose of insulin exogenously mediated, and the MR at given patient time points. User-assignable parameters will facilitate adaptation to different patient populations.An algorithm is described that estimates MR prior to the attainment of euglycemia and computes MR-dependent values for IR(next). Design features address glycemic variability, promote safety with respect to hypoglycemia, and define a method for specifying glycemic targets that are allowed to differ according to patient condition.

Dataset Information

DripOMeter: An open-source opto-electronic system for intravenous (IV) infusion monitoring.

Publications

DripOMeter: An open-source opto-electronic system for intravenous (IV) infusion monitoring.

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