Simple Machines Forum, a Solution for Dialogue Optimization between Physicians (original) (raw)

2013, Applied Medical Informatics

We developed an instrument which can ensure a quick and easy dialogue between the physicians of the Oncology Institute and family physicians. The platform we chose was Simple Machines Forum (abbreviated as SMF), a free Internet forum (BBS - Bulletin Board System) application. The purpose of this article is not to detail the software platform, but to emphasize the facilities and advantages of using this solution in the medical community.

DOCtalk: A Web Application for Health Care Solutions

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

In this paper we will discuss about how using web technologies, we can design a service or a software which can be used for booking an appointment with a doctor. Many a times, almost every time, we come across a tedious way of traditional way of booking appointments with a doctor, i.e. we have to go to the hospital to book the appointment and wait for the scheduled appointment to come. At some unusual times, the appointment even cancels and the patient is not updated about it. This application will provide everything from knowing about a particular doctor to booking an appointment with him/her. The appointments are made based on time slots interval available in a day.

Novel Computational Linguistic Measures, Dialogue System and the Development of SOPHIE: Standardized Online Patient for Healthcare Interaction Education

ArXiv, 2020

In this paper, we describe the iterative participatory design of SOPHIE, an online virtual patient for feedback-based practice of sensitive patient-physician conversations, and discuss an initial qualitative evaluation of the system by professional end users. The design of SOPHIE was motivated from a computational linguistic analysis of the transcripts of 383 patient-physician conversations from an essential office visit of late stage cancer patients with their oncologists. We developed methods for the automatic detection of two behavioral paradigms, lecturing and positive language usage patterns (sentiment trajectory of conversation), that are shown to be significantly associated with patient prognosis understanding. These automated metrics associated with effective communication were incorporated into SOPHIE, and a pilot user study identified that SOPHIE was favorably reviewed by a user group of practicing physicians.

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