Hokey Pokey, a popular "super premium" ice cream retailer, has over a dozen outlets based in India. Hokey Pokey offers "customized mix-in" flavors and realizes the importance of social media ...platforms to connect with its target consumers and create an engaging brand experience. However, with a limited marketing budget, the retailer needed to measure the success of its social media marketing efforts and create an optimized strategy. To accomplish this, we proposed and implemented a methodology to measure social media return on investment (ROI) and a customer's word-of-mouth (WOM) value by first creating a unique metric to measure the net influence wielded by a user in a social network, customer influence effect (CIE), and then predicting the user's ability to generate the spread of viral information. We then link WOM to the actual sales that it generates through a second metric, customer influence value (CIV), and we implement a strategy at Hokey Pokey to measure these metrics and identify their individual drivers. Finally, we refine our strategy to increase CIE and CIV, thereby impacting the profit. Our research shows that social media can be used to generate growth in sales, ROI, and positive word of mouth and can spread brand knowledge further.
The legal and ethical issues that confront society due to Artificial Intelligence (AI) include privacy and surveillance, bias or discrimination, and potentially the philosophical challenge is the ...role of human judgment. Concerns about newer digital technologies becoming a new source of inaccuracy and data breaches have arisen as a result of its use. Mistakes in the procedure or protocol in the field of healthcare can have devastating consequences for the patient who is the victim of the error. Because patients come into contact with physicians at moments in their lives when they are most vulnerable, it is crucial to remember this. Currently, there are no well-defined regulations in place to address the legal and ethical issues that may arise due to the use of artificial intelligence in healthcare settings. This review attempts to address these pertinent issues highlighting the need for algorithmic transparency, privacy, and protection of all the beneficiaries involved and cybersecurity of associated vulnerabilities.
Wearable device technology has recently been involved in the healthcare industry substantially. India is the world's third largest market for wearable devices and is projected to expand at a compound ...annual growth rate of ~26.33%. However, there is a paucity of literature analyzing the factors determining the acceptance of wearable healthcare device technology among low-middle-income countries.
This cross-sectional, web-based survey aims to analyze the perceptions affecting the adoption and usage of wearable devices among the Indian population aged 16 years and above.
A total of 495 responses were obtained. In all, 50.3% were aged between 25-50 years and 51.3% belonged to the lower-income group. While 62.2% of the participants reported using wearable devices for managing their health, 29.3% were using them daily. technology and task fitness (TTF) showed a significant positive correlation with connectivity (
= 0.716), health care (
= 0.780), communication (
= 0.637), infotainment (
= 0.598), perceived usefulness (PU) (
= 0.792), and perceived ease of use (PEOU) (
= 0.800). Behavioral intention (BI) to use wearable devices positively correlated with PEOU (
= 0.644) and PU (
= 0.711). All factors affecting the use of wearable devices studied had higher mean scores among participants who were already using wearable devices. Male respondents had significantly higher mean scores for BI (
= 0.034) and PEOU (
= 0.009). Respondents older than 25 years of age had higher mean scores for BI (
= 0.027) and Infotainment (
= 0.032).
This study found a significant correlation with the adoption and acceptance of wearable devices for healthcare management in the Indian context.
We performed a systematic review and meta-analysis to investigate the use of machine learning techniques for predicting stone-free rates following Shockwave Lithotripsy (SWL). Eight papers (3264 ...patients) were included. Two studies used decision-tree approaches, five studies utilised Artificial Neural Networks (ANN), and one study combined a variety of approaches. The summary true positive rate was 79%, summary false positive rate was 14%, and Receiver Operator Characteristic (ROC) was 0.90 for machine learning approaches. Machine learning algorithms were at least as good as standard approaches. Further prospective evidence is needed to routinely apply machine learning algorithms in clinical practice.
To understand the preference and role of ‘hybrid’ urological meetings compared to face-to-face and online meetings during and after COVID-19 pandemic. The secondary outcome was finding out the most ...preferable webinar setting.
An online global survey was done between June 06 and July 05, 2020, using SurveyMonkey. The target participants were urology healthcare providers. The survey was disseminated via mailing lists and the Twitter platform.
A total of 526 urology providers from 56 countries responded to the survey and it was completed by 73.3%. Participants’ overall experience was better in a face-to-face meeting, followed by a hybrid and webinar only meeting. While opportunities for networking was identified as high in face-to-face meeting, online webinars were more cost effective, and learning opportunity and reach of audience was higher for hybrid meetings.
For online webinar format, Zoom platform was used by 73% and majority (69%) saw it on their laptop or desktop. The preference was for a 1-hour webinar in the evenings with 3-5 speakers. Urology residents rated face-to-face meetings to have better cost-effectiveness when compared to consultants. Post COVID-19, more than half of all respondents would prefer hybrid meetings compared to the other formats.
While there will be a place for face-to-face meetings, COVID-19 situation has led to a preference towards hybrid meetings which is ideal for a global reach in the future. It is plausible that most urological associations will move towards a hybrid model for their meetings.
Recent advances in artificial intelligence (AI) have certainly had a significant impact on the healthcare industry. In urology, AI has been widely adopted to deal with numerous disorders, ...irrespective of their severity, extending from conditions such as benign prostate hyperplasia to critical illnesses such as urothelial and prostate cancer. In this article, we aim to discuss how algorithms and techniques of artificial intelligence are equipped in the field of urology to detect, treat, and estimate the outcomes of urological diseases. Furthermore, we explain the advantages that come from using AI over any existing traditional methods.
Purpose of the Review
The global burden of kidney stone disease (KSD) and its management relies on ionising radiation. This includes the diagnosis, treatment and follow-up of KSD patients. The ...concept ‘As Low As Reasonably Achievable’ (ALARA) developed in response to the radiation risks and the key principles include optimisation, justification and limitation of radiation. This article provides an overview of the topic including background to the risks and steps that can be taken during all stages of endourological management.
Recent Findings
Our review suggests that ionising radiation is an invaluable tool in delineating the anatomy, localising disease, guiding manoeuvres and monitoring treatment in patients with KSD. It therefore plays an integral role in many stages of patient care; preoperatively, intraoperatively and postoperatively.
The reduction of radiation pre- and post-surgical intervention relies on the use of low-radiation CT scan and ultrasound scan. It can also be achieved through various intraoperative techniques or fluoroless techniques in selected patients/procedures, customised to the patients and procedural complexity.
Summary
There are many parts of the patient journey where exposure to radiation can take place. Urologists must be diligent to minimise and mitigate this wherever possible as they too face exposure risks. Implementation of strategies such as teaching programmes, fluoroscopy checklists and judicious use of CT imaging among other things is a step towards improving practice in this area.
Endobronchial ultrasound‐guided transbronchial needle aspiration (EBUS‐TBNA) is preferred for evaluating malignant lymph nodes and staging of lung cancer. Nevertheless, larger tissue samples are ...increasingly needed, particularly for molecular analysis. We describe the feasibility, technical details, and complications of EBUS‐guided transbronchial cryo‐node biopsy (TBCNB) in four patients with mediastinal adenopathy. The samples obtained by EBUS‐TBCNB in all cases were adequate for histopathological examination (HPE) and immunohistochemistry (IHC) staining. In case 1, HPE showed non‐caseating epithelioid granuloma with giant cells and fibrosis consistent with sarcoidosis. Case 2 was diagnosed with adenocarcinoma with positivity for ROS1(D4D6). Case 3 showed features of metastatic adenocarcinoma from the breast (positive for Her2, ER, and GATA3). Case 4 was diagnosed with tuberculosis (necrotizing granuloma in histopathology, stain with Ziehl–Neelsen that showed few rod‐shaped bacilli). Only one patient had minimal bleeding at the puncture site controlled with cold saline. There were no adverse events such as major bleeding, pneumomediastinum, or pneumothorax.
We describe the feasibility, technical details, and complications of endobronchial ultrasound‐guided transbronchial cryo‐node biopsy (EBUS‐TBCNB) in four patients with mediastinal adenopathy.
Artificial intelligence (AI) is an emerging technological system that provides a platform to manage and analyze data by emulating human cognitive functions with greater accuracy, revolutionizing ...patient care and introducing a paradigm shift to the healthcare industry. The purpose of this study is to identify the underlying factors that affect the adoption of artificial intelligence in healthcare (AIH) by healthcare providers and to understand “What are the factors that influence healthcare providers’ behavioral intentions to adopt AIH in their routine practice?” An integrated survey was conducted among healthcare providers, including consultants, residents/students, and nurses. The survey included items related to performance expectancy, effort expectancy, initial trust, personal innovativeness, task complexity, and technology characteristics. The collected data were analyzed using structural equation modeling. A total of 392 healthcare professionals participated in the survey, with 72.4% being male and 50.7% being 30 years old or younger. The results showed that performance expectancy, effort expectancy, and initial trust have a positive influence on the behavioral intentions of healthcare providers to use AIH. Personal innovativeness was found to have a positive influence on effort expectancy, while task complexity and technology characteristics have a positive influence on effort expectancy for AIH. The study’s empirically validated model sheds light on healthcare providers’ intention to adopt AIH, while the study’s findings can be used to develop strategies to encourage this adoption. However, further investigation is necessary to understand the individual factors affecting the adoption of AIH by healthcare providers.
Oligometastatic prostate cancer (OMPC) has gained profound interest lately due to its different tumor biology and our ability to use multimodality therapy for cure or prolonged survival. Selecting ...the appropriate patient for treatment has become the aim of treating urologists, medical oncologists, and radiation oncologists. Through this review, we try to highlight the management of OMPC in light of recent literature.
Literature search was performed on Pubmed, Scopus and Embase using keywords "Oligometastatic", " Prostate Cancer" using operators such as "And" & "Or". Relevant articles were screened and all the latest articles on this emerging entity were included in this review.
All trials relevant to oligometastatic prostate cancer defining the role of surgery, radiotherapy and systemic therapy were included and appropriate inferences were drawn. Relevant studies were compiled in tabular form for this article.
The current standard of care of management for OMPC remains systemic therapy on the lines of hormone-sensitive metastatic prostate cancer. The evolving role of surgery, and radiotherapy along with systemic therapy is highlighted in this article.
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