Pieces Technologies is committed to helping those who help others. The COVID-19 pandemic has brought unprecedented change to our world and the communities our clients help support.
Thank you to all the front-line workers at community service and health care organizations for their hard work during these unprecedented times. We know you’re making tremendous efforts to keep your communities updated and connected to vital resources during this national emergency.
At Pieces Tech, we want to help community organizations to best serve their missions and build a happier and healthier world, and we think one of the easiest ways to do this is by collaborating with your local community. We work with a range of different clients – from universities to food banks – and this variety of partners has given us insight into some of the challenges that nonprofits face.
Collaborative grants bring together organizations with complementary philosophies to provide more comprehensive services than each could on their own.
Through the use of Pieces Technologies' Iris® platform, UVA Health is enhancing communication between patients and community partners to better support the holistic health of their community members.
By combining hospital discharge software with an application that links patients with community services, the partnership between the two companies aims to reduce readmissions and improve care outcomes.
In January, a brilliant OpEd ran in the New York Times in response to an MIT Technology Review piece that warned about the lack of transparency in the decision-making process for AI systems. In addition to likening AI systems to “black boxes”, they culminated with a warning that “no one really knows how the most advanced algorithms do what they do”. Talk to any data scientist who works with NLP and AI systems and they’ll fundamentally disagree with this stance (and likely side with our champion at the New York Times).
Natural language processing (NLP) is an important aspect of artificial intelligence that allows machines to process large amounts of data in human (natural) language - for instance, open-text fields or speech-to-text data. With NLP, just as with human language, it is critical that the machine is able to distinguish three things: content, concept and context.
Pieces Technologies has implemented its decision support software solutions - Pieces Decision Support (DS) and Pieces Iris - throughout health systems and community-based organizations nationwide. When we began, we knew we needed a hosting partner that would allow us to scale quickly and provide unparalleled security. We chose Amazon Web Services (AWS) due to their remarkable experience: the largest cloud provider, highest ranked by Gartner among competitors, and deep healthcare client base.
The delivery of high performance clinical care – care that is reliable, efficient, and timely – is difficult. Even under the best marriage of clinical workflow and algorithmic modeling, unpredictable adverse outcomes can occur in the modern clinical practice. Many analytics vendors address this through human oversight of their artificial intelligence (AI) algorithms.
“Writing in English is like throwing mud at a wall.”
― Joseph Conrad
I recently watched the 2016 movie “Arrival.” The film explores the idea that what you think and how you think may actually be closely intertwined. “Arrival” is a story about humanity’s first contact with aliens and how a pair of scientist find ways to communicate without a common language. As they spend more and more time with the octopus-like creatures, they get increasingly frustrated with their lack of progress and must get creative in order to effectively communicate with these new visitors to Earth. I won’t spoil it for you, but this film beautifully illustrates how powerful and difficult the use of language can be, whether it’s between a linguist and a 10-foot-tall mollusk or with each other.
