However, as ideas like "family-centred care" and "patient-centred outcomes"—which, at their core, simply refer to a focus on the patient as an individual—become more widely understood, there will be more opportunities to use digital tools and technologies to better meet more individualised, people's needs.
Dec 1, 2022Toulika Das
Artificial Intelligence in Healthcare - Making Impactful Strides Towards the Future
Imagine a world where you are lying on a bed in a hospital while a robot performs necessary surgery single-handedly. While the world may not have advanced to this hyper-realistic level of technology, artificial intelligence has made significant strides in healthcare.
By tracking and reporting on these KPIs, healthcare organizations can better understand their cybersecurity posture and make necessary improvements.
Studies conducted by the University of Michigan now have led to researchers developing PRIORI, an Android smartphone app that can detect if someone is suffering a bipolar attack.
Aditi Gupta is a social entrepreneur working towards educating women about menstruation, menstrual hygiene, and the myths associated with it. She named her unique initiative, Menstrupedia. Menstrupedia Comic is a complete guide on periods.
An update to digital storage is cloud storage, which increases interoperability and offers more freedom. In this article, we will explore the evolution of cloud-based data storage in the healthcare industry.
Since Wilhelm Konrad Rontgen discovered the x-ray, many technological developments have occurred. Here are some of the studies done in enhancing x-ray imaging techniques.
The World Economic Forum predicts the value of digital transformation is expected to be more than $100 trillion by 2025 for industry and society. But why are companies so eager to achieve digital transformation, and how can IoT be instrumental in realizing this? Read on to learn the answers.
A chatbot uses machine learning algorithms with an NLP (natural language processing) layer built-in to communicate like humans with users via text or audio. Healthcare providers, doctors, and medical assistants are now leveraging these artificial intelligence solutions to streamline patient care and reduce unnecessary expenses. There have been various cases where a digital personal assistant or a chatbot has helped patients with their queries. The patient may not even be aware that the human-like medical representative is actually an intelligent conversational machine in many cases.
Nov 11, 2022Johnson Cherian
Internet of Medical Things (IoMT): Game-Changing Technology for Healthcare Industry
The Internet of Medical Things (IoMT) is an integrated infrastructure of the healthcare systems and services to medical devices and software applications that transmit real-time data through a network of technologies. The IoMT is a subcategory of the Internet of Things (IoT).
When cybercriminals attack a facility's data and operation systems, software failures can disrupt care. Due to multiple major and minor cyber breaches each year, the healthcare industry has moved one foot toward advanced cybersecurity practices.
RPA can be used in medical image processing, medical research, and diagnostics to understand body patterns, predict diseases, and improve treatment effectiveness. Learn more about the importance of RPA and automation in healthcare industry.
Direct-to-consumer pharmaceutical advertising (DTCPA) refers to marketing and advertising pharmaceutical products directly to the consumers as patients, opposed to specifically targeting healthcare professionals. DTCPA refers to advertising prescription medicines via mass media communication platforms such as television, radio, magazines, newspapers, and online platforms.
Predictive analytics tries to warn physicians and caregivers about the likelihood of events and consequences before they happen, allowing them to prevent rather than treat health problems.
In recent research, scientists have been able to understand drugs and their after-effects more deeply by implying the science of Natural Language Processing (NLP) and Machine Learning (ML).
Adopting technology is often scary for healthcare organizations due to a lack of awareness and funding constraints. It is crucial to overcome these apprehensions and join the tech bandwagon to stay competitive and relevant.
Big data is a broad term that refers to an extensive collection of complicated data, whether unstructured or organized. The collected data could be efficiently utilized to reveal additional insight and to address business issues that were previously unsolvable using traditional analytics or software. Typically, data scientists use artificial intelligence-powered analytics to examine these massive databases constructively to find relationships and correlations that might give valuable business insights.