Optimizing Operating Room Efficiency for Primary Hip and Knee Arthroplasty Using Performance Benchmarks.

Background: With increasing demand for total hip arthroplasty (THA) and total knee arthroplasty (TKA), maximizing operating room (OR) efficiency is critical. This paper sought to examine the implementation of time benchmarks when performing primary TKA and THA. We hypothesized that implementing benchmarks would improve efficiency and the number of joints performed per day.

Acceptance of physical activity virtual reality games by residents of long-term care facilities: A qualitative study.

Background: Little is known about the experience and the social and contextual factors influencing the acceptance of virtual reality (VR) physical activity games among long-term care (LTC) residents. Our study aims to address this research gap by investigating the unique experience of older adults with VR games. The findings will provide valuable insights into the factors influencing VR acceptance among LTC residents and help design inclusive VR technology that meets their needs and improves physical activity (PA) and well-being.

First deployment of artificial intelligence recommendations in orthopedic surgery.

Scant research has delved into the non-clinical facets of artificial intelligence (AI), concentrating on leveraging data to enhance the efficiency of healthcare systems and operating rooms. Notably, there is a gap in the literature regarding the implementation and outcomes of AI solutions. The absence of published results demonstrating the practical application and effectiveness of AI in domains beyond clinical settings, particularly in the field of surgery, served as the impetus for our undertaking in this area.

Factors influencing delays and overtime during surgery: a descriptive analytics for high volume arthroplasty procedures.

The aim of this article is to analyze factors influencing delays and overtime during surgery. We utilized descriptive analytics and divided the factors into three levels. In level one, we analyzed each surgical metrics individually and how it may influence the Surgical Success Rate (SSR) of each operating day.

Acceptance of physical activity virtual reality games by residents of long-term care facilities: a scoping review.

Purpose: This scoping review aims to identify evidence on older adults' acceptance of PA VR games in LTC facilities, describe research designs used, define key acceptance concepts, and identify knowledge gaps for future research.

Materials And Methods: Following Arksey and O'Malley's framework, data from published and unpublished articles (Jan 2000-May 2023) were collected. Twelve databases and additional sources were searched for studies on LTC residents (≥65 years), PA video games (including VR and console games), acceptance, and attitudes.

Assessing virtual reality acceptance in long-term care facilities: a quantitative study with older adults.

Purpose: Our study aimed to investigate the factors associated with the acceptance of virtual reality (VR) games among older adults living in LTC, with a particular emphasis on identifying social and individual factors that have been overlooked in existing technology acceptance models.

Materials And Methods: We conducted VR gaming sessions, followed by a composite questionnaire to explore the factors associated with the acceptance of VR games among residents of LTC with a focus on technology acceptance models (TAM) and social factors derived from Selective Optimization with Compensation (SOC) theory and Socioemotional Selectivity Theory (SST).

Results: We studied 20 older adults aged 65 and older.

Leveraging machine learning and prescriptive analytics to improve operating room throughput.

Successful days are defined as days when four cases were completed before 3:45pm, and overtime hours are defined as time spent after 3:45pm. Based on these definitions and the 460 unsuccessful days isolated from the dataset, 465 hours, 22 minutes, and 30 seconds total overtime hours were calculated. To reduce the increasing wait lists for hip and knee surgeries, we aim to verify whether it is possible to add a 5th surgery, to the typical 4 arthroplasty surgery per day schedule, without adding extra overtime hours and cost at our clinical institution.

Effects of virtual reality guided meditation in older adults: the protocol of a pilot randomized controlled trial.

Background: Virtual reality (VR) based meditation has been shown to help increase relaxation and decrease anxiety and depression in younger adults. However, this has not been studied in Randomized Controlled Trials (RCT) in the older adult population. The aim of this RCT is to assess the feasibility and acceptability of a VR-guided meditation intervention for community-dwelling older adults and its effect on stress and mental health.

Impact of dance interventions on the symptoms of dementia: A mixed-methods systematic review.

Objectives: This mixed-methods systematic review determined the impact of dance interventions on symptoms of Alzheimer's disease and related dementias (ADRD) among persons living in residential care.

Methods: Seven databases (Medline, EMBASE, CINAHL, PsycINFO, Web of Science, Ageline, and AMED) were searched. Studies published before June 2022 that investigated the impact of dance interventions on symptoms of ADRD were eligible for inclusion.

Use of multidisciplinary positive deviance seminars to improve efficiency in a high-volume arthroplasty practice: a pilot study.

Background: Positive deviance (PD) seminars, which have shown excellent results in improving the quality of surgical practices, use individual performance feedback to identify team members who outperform their peers; the strategies from those with exemplary performance are used to improve team members' practices. Our study aimed to use the PD approach with arthroplasty surgeons and nurses to identify multidisciplinary strategies and recommendations to improve operating room (OR) efficiency.

Methods: We recruited 5 surgeons who performed high-volume primary arthroplasty and had participated in 4-joint rooms since 2012, and 29 nurses who had participated in 4-joint rooms and in at least 16 cases in our data set.

Isolating together during COVID-19: Results from the Telehealth Intervention Program for older adults.

Background: A pressing challenge during the COVID-19 pandemic and beyond is to provide accessible and scalable mental health support to isolated older adults in the community. The Telehealth Intervention Program for Older Adults (TIP-OA) is a large-scale, volunteer-based, friendly telephone support program designed to address this unmet need.

Methods: A prospective cohort study of 112 TIP-OA participants aged ≥60 years old was conducted in Quebec, Canada (October 2020-June 2021).

A Brief Report on Reviews of Existing Creative Art-Based Interventions in Dementia Care From 2010-2020.

The following brief report provides an overview of previously published reviews in the context of creative arts-based interventions for persons with dementia. A total of 22 review articles were identified and summarized. Next steps are suggested for future studies that may wish to a) develop a new review, or b) create new studies filling in the gaps identified by the authors in this report.

Artificial intelligence-driven prescriptive model to optimize team efficiency in a high-volume primary arthroplasty practice.

Purpose: We aimed to improve OR efficiency using machine learning (ML) to find relevant metrics influencing surgery time success and team performance on efficiency to create a model which incorporated team, patient, and surgery-related factors.

Methods: From 2012 to 2020, five surgeons, 44 nurses, and 152 anesthesiologists participated in 1199 four joint days (4796 cases): 1461 THA, 1496 TKA, 652 HR, 242 UKA, and 945 others. Patients were 2461f:2335 m; age, 64.

Artificial Intelligence to Analyze the Cortical Thickness Through Age.

In this study, Artificial Intelligence was used to analyze a dataset containing the cortical thickness from 1,100 healthy individuals. This dataset had the cortical thickness from 31 regions in the left hemisphere of the brain as well as from 31 regions in the right hemisphere. Then, 62 artificial neural networks were trained and validated to estimate the number of neurons in the hidden layer.

Development of a Smart Hallway for Marker-Less Human Foot Tracking and Stride Analysis.

Objective: In this research, a marker-less 'smart hallway' is proposed where stride parameters are computed as a person walks through an institutional hallway. Stride analysis is a viable tool for identifying mobility changes, classifying abnormal gait, estimating fall risk, monitoring progression of rehabilitation programs, and indicating progression of nervous system related disorders.

Methods: Smart hallway was build using multiple Intel RealSense D415 depth cameras.

Learning Conflicts for C-arm Kinematic Modeling using Artificial Intelligence.

During common surgical tasks related to orthopedic applications, it is necessary to carefully manipulate a mobile C-arm device to achieve the desired position. In this work, we propose the application of learning conflicts analysis to improve the performance of an artificial neural network to compute the inverse kinematics of a C-arm device. Using the forward kinematics equations of a C-arm device (and the respective patient table) a training set for machine learning was generated.

Generating X-ray Images from Point Clouds Using Conditional Generative Adversarial Networks.

Simulating medical images such as X-rays is of key interest to reduce radiation in non-diagnostic visualization scenarios. Past state of the art methods utilize ray tracing, which is reliant on 3D models. To our knowledge, no approach exists for cases where point clouds from depth cameras and other sensors are the only input modality.

pix2xray: converting RGB images into X-rays using generative adversarial networks.

Purpose: We propose a novel methodology for generating synthetic X-rays from 2D RGB images. This method creates accurate simulations for use in non-diagnostic visualization problems where the only input comes from a generic camera. Traditional methods are restricted to using simulation algorithms on 3D computer models.

Camera-augmented mobile C-arm (CamC): A feasibility study of augmented reality imaging in the operating room.

Background: In orthopaedic trauma surgery, image-guided procedures are mostly based on fluoroscopy. The reduction of radiation exposure is an important goal. The purpose of this work was to investigate the impact of a camera-augmented mobile C-arm (CamC) on radiation exposure and the surgical workflow during a first clinical trial.

Application of an RGBD augmented C-arm for minimally invasive scoliosis surgery assistance.

Minimally invasive surgeries (MISs) are gaining popularity as alternatives to conventional open surgeries. In thoracoscopic scoliosis MIS, fluoroscopy is used to guide pedicle screw placement and to visualise the effect of the intervention on the spine curvature. However, cosmetic external appearance is the most important concern for patients, while correction of the spine and achieving coronal and sagittal trunk balance are the top priorities for surgeons.

An Augmented Reality magic mirror as additive teaching device for gross anatomy.

When preparing young medical students for clinical activity, it is indispensable to acquaint them with anatomical section images which enable them to use the clinical application of imaging methods. A new Augmented Reality Magic Mirror (AR MM) system, which provides the advantage of a novel, interactive learning tool in addition to a regular dissection course, was therefore tested and evaluated by 880 first-year medical students as part of the macroscopic anatomy course in 2015/16 at Ludwig-Maximilians-Universität (LMU) in Munich. The system consists of an RGB-D sensor as a real-time tracking device, which enables the system to link a deposited section image to the projection of the user's body, as well as a large display mimicking a real-world physical mirror.

MirrARbilitation: A clinically-related gesture recognition interactive tool for an AR rehabilitation system.

Background And Objective: Interactive systems for rehabilitation have been widely investigated for motivational purposes. However, more attention should be given to the manner in which user movements are recognized and categorized. This paper aims to evaluate the efficacy of using a clinically-related gesture recognition tool, based on the international biomechanical standards (ISB) for the reporting of human joint motion, for the development of an interactive augmented reality (AR) rehabilitation system -mirrARbilitation.

Inverse visualization concept for RGB-D augmented C-arms.

X-ray is still the essential imaging for many minimally-invasive interventions. Overlaying X-ray images with an optical view of the surgery scene has been demonstrated to be an efficient way to reduce radiation exposure and surgery time. However, clinicians are recommended to place the X-ray source under the patient table while the optical view of the real scene must be captured from the top in order to see the patient, surgical tools, and the surgical site.