Health Information Technology Commons^™

Effect Of The Announcement Of Human-To-Human Transmission On Teleconsultation Services In China During Covid-19, Mairehaba Maimaitiming, Jingui Xie, Zhichao Zheng, Yongjian Zhu

Research Collection Lee Kong Chian School Of Business

Objectives: Telemedicine enables patients to communicate with physicians effectively, especially during the coronavirus disease (COVID-19) pandemic. However, few studies have explored the use of online health care platforms for a comprehensive range of specialties during the COVID-19 pandemic. This study aimed to investigate how telemedicine services were affected by the announcement of human-to-human transmission in China. Methods: Telemedicine data from haodf.com in China were collected. A difference-in-differences analysis compared the number of telemedicine use and the number of active online physicians for different specialties in 2020 with the numbers in 2019, before and after the announcement of human-to-human transmission. Results: …

Creating The Capacity For Digital Government, Cheow Hoe Chan, Steven M. Miller

Asian Management Insights

This article explains how a well-thought-out data policy, supported by a tech stack and cloud infrastructure, an agile way of working, and coordinated whole-of-government leadership, are fundamental to successful government digital transformation efforts, as exemplified by the Singapore government’s digital journey. As part of explaining how to create the capacity for digital government, the main sections of this article cover:

• The origins of GovTech
• How thinking big, starting small and acting fast is a practical strategy for organisational learning
• The importance of horizontal platforms and other enablers of a horizontal approach
• Data architecture and policy
• “Shifting left” with internal technology …

Can Big Data Cure Risk Selection In Healthcare Capitation Program? A Game Theoretical Analysis, Zhaowei She, Turgay Ayer, Daniel Montanera

Research Collection Lee Kong Chian School Of Business

Problem definition: This paper analyzes a market design problem in Medicare Advantage (MA), the largest risk-adjusted capitation payment program in the U.S. healthcare market. Evidence exists that the current MA capitation payment program unintentionally incentivizes health plans to cherry pick profitable patient types, which is referred to as “risk selection”. However, the root causes of the risk selection are not comprehensively understood, which we study in this paper. Academic / Practical Relevance: The existing literature primarily attributes the observed risk selection in MA market to data limitations and low explanatory power (e.g. low R2) of the current risk adjustment design. …

Design Thinking Intervention In Healthcare, Mohammed Ali Alshehri

Dissertations and Theses Collection (Open Access)

The healthcare industry is currently experiencing numerous challenges. Lack of skilled and innovative practitioners in healthcare organizations disrupts operational functions, administration, and service delivery. Dentistry is full of complex problems. There is currently a significant gap between the desired solutions dental providers offer to solve these problems and the actual outcomes. So, dental providers must rethink their approach to solving healthcare problems. One of the desirable approaches is design thinking.

Application of design thinking in business and healthcare has demonstrated improved results. In this research, the objective was to investigate the application of design thinking in dentistry and its effects …

Smrtfridge: Iot-Based, User Interaction-Driven Food Item & Quantity Sensing, Amit Sharma, Archan Misra, Vengateswaran Subramaniam, Youngki Lee

Research Collection School Of Computing and Information Systems

We present SmrtFridge, a consumer-grade smart fridge prototype that demonstrates two key capabilities: (a) identify the individual food items that users place in or remove from a fridge, and (b) estimate the residual quantity of food items inside a refrigerated container (opaque or transparent). Notably, both of these inferences are performed unobtrusively, without requiring any explicit user action or tagging of food objects. To achieve these capabilities, SmrtFridge uses a novel interaction-driven, multi-modal sensing pipeline, where Infrared (IR) and RGB video sensing, triggered whenever a user interacts naturally with the fridge, is used to extract a foreground visual image of …