Wer künftig mit seinem BMW in eine emissionsfreie Zone fährt, ist automatisch elektrisch unterwegs – sofern er einen Plug-in-Hybrid fährt. BMW nutzt Geofencing zur Aktivierung der Funktion und belohnt Fahrer für Elektrofahrten. (BMW, Technologie)
Quelle: Golem
Der Zweizylinder-Boxermotor von BMW ist ein markenbildendes Element der Motorräder des Unternehmens. Doch was passiert, wenn die Elektrifizierung den Verbrenner verdrängt? Die Antwort ist der BMW Vision DC Roadster. (BMW, Technologie)
Quelle: Golem
Seit mehreren Wochen blockiert Google die Werbeanzeigen freier Reparaturbetriebe. Der “Runde Tisch Reparatur” erwartet von der EU-Kommission, aus Gründen des Wettbewerbs und Klimaschutzes gegen das US-Unternehmen vorzugehen. (Onlinewerbung, Google)
Quelle: Golem
Das Branchenevent AT&T Shape sollte die Filmindustrie für 5G begeistern. Oft wurden auf dem Gelände von Warner Bros. in Los Angeles bis 1,7 GBit/s gemessen. (5G, Technologie)
Quelle: Golem
Der Deutschen Städte- und Gemeindebund spricht ein Tabuthema an: 5G-Antennen auf Schulen und Kindergärten. Der Mast strahle nicht auf das Gebäude, auf dem er steht. (5G, Handy)
Quelle: Golem
The next time you see your physician, consider the times you fill in a paper form. It may seem trivial, but the information could be crucial to making a better diagnosis. Now consider the other forms of healthcare data that permeate your life—and that of your doctor, nurses, and the clinicians working to keep patients thriving. Forms and diagnostic reports are just two examples. The volume of such information is staggering, yet fully utilizing this data is key to reducing healthcare costs, improving patient outcomes, and other healthcare priorities. Now, imagine if artificial intelligence (AI) can be used to help the situation.
The Azure platform offers a wealth of services for partners to enhance, extend, and build industry solutions. Here we describe how SyTrue, a Microsoft partner focusing on healthcare uses Azure to empower healthcare organizations to improve efficiency, reduce costs, and improve patient outcomes.
Billions of records
Valuable insights remain locked in unstructured medical records such as scanned documents in PDF format that, while human-readable, present a major obstacle to the automation and analytics required. Over four billion medical notes are created every year. The clinical and financial insights embodied within these records are needed by an average of 20+ roles and processes downstream of the record generation. Currently, healthcare providers and payors require an army of professionals to read, understand, and extract healthcare data from the flood of clinical documents generated every day. But success has been elusive.
It's not for lack of trying. In the last decade, an effort was made to accumulate and upload data into electronic health records (EHR) systems. Meaningful Use is a government-led incentive program that aims to accelerate the movement from hard-copy filing systems to electronic health records. Still, the problem is related to the volume and the lack of time and resources to assimilate masses of data.
Note: the Meaningful Use program has a number of goals. An important one is, “Ensure adequate privacy and security protection for personal health information.” Data security is a prime value for Azure services. Data services such as Azure SQL Database encrypt data at rest and in-transit.
Moving the needle on healthcare
As costly and extensive as this effort was, many believe that we have yet to see evidence of any significant impact from the digitization of healthcare data to the quality or cost of care. One way to radically improve this is using AI for natural language processing (NLP)—specifically to automate reading of the documents. That enables subsequent analytics, yielding the most relevant actionable information in near real-time from mountains of documents to the medical professional. It empowers them to deliver better quality care, more efficiently, at lower cost.
In action
A Microsoft partner, SyTrue is leading the way. In the words of their Founder and CEO, Kyle Silvestro, “At SyTrue, the next big challenge is accessing this vast pool of accumulated patient data in a serviceable way. We’ve created a platform that transforms healthcare documentation into actionable information. The focus is on three main features: speed, context, and adaptability. Our technology consumes thousand-paged medical records in sub-seconds. The innovation is built on informational models that can ingest data from multiple types of clinical and financial health care organizations. This allows diverse healthcare stakeholders to use the system. The main objective for the technology is to present key clinical and financial insights to healthcare stakeholders in order to reduce waste and improve clinical outcomes.”
Informed by natural language processing and machine learning
SyTrue relies on NLP and machine learning (ML) as the underlying technology. Using their own proprietary methods, they perform “context-driven information extraction.” In other words, they connect the dots. The graphic below shows their processes.
Improving healthcare
SyTrue’s offers the NLP OS (Operating System) for healthcare. It aids in several ways.
It unlocks healthcare records and enables healthcare professionals to interact with medical record data and its clinical and financial implications. Specifically, it eliminates the need for professionals to hunt for the same key observations. This enables professionals to spend more time focused on patient care.
NLP OS also bridges the communication between a specialist provider and a primary care physician regarding the care of a shared patient. The system extracts and highlights continuity of care recommendations generated within the patient’s care team.
A large healthcare organization installed SyAudit, powered by SyTrue NLP OS, at the front of their medical chart review process. Before the charts reach a nurse-reviewer, they are processed through this solution. The system interprets the documentation to determine if a nurse review is in fact needed, or if the documentation lacks actionable information. This potentially decreases the time spent by nurse reviewers.
A healthcare provider used SyReview, another SyTrue solution powered by the SyTrue NLP OS, for their quality capturing and reporting process. The particular process is related to an incentive program which directly ties quality to Medicare payment. Automating the quality-capturing process strengthens the feedback loop to providers that needed to show improvement. The organization also eliminated its manual quality-capture process, which was slow, expensive, and often inaccurate.
Next steps
To see more about Azure in the healthcare industry see Azure for health.
To find out more about this solution, go to the Azure Marketplace listing for NLP OS™ for Healthcare and click Contact me.
Quelle: Azure
Nach und nach stellen die Ladesäulenbetreiber auf verbrauchsgenaue Abrechnungen bei Elektroautos um. Doch eichrechtskonform sind die Lösungen teilweise immer noch nicht. Dafür aber bei Anbietern wie Allego recht teuer. (Elektroauto, RFID)
Quelle: Golem
Ein Gemeinderat und Funktechnikexperte berichtet, wie die Telekom einen sinnvollen Standort für eine Mobilfunkstation ablehnte. Damit wird ein Ortsteil weiter nicht versorgt. (Mobilfunk, Telekom)
Quelle: Golem
Unter Fans von Battle Royale sorgen vor allem Fortnite und Apex Legends für immer neue Diskussionen, tatsächlich behauptet sich Pubg aber ähnlich stark . Kurz vor der Veröffentlichung des Grafikupdates für die Map Erangel gibt es aktuelle Verkaufszahlen. (Playerunknown's Battlegrounds, Battle Royale)
Quelle: Golem
Nach dem THEC64 Mini bringt Retro Games seinen C64-Emulator auch in Originalgröße und mit funktionierender Tastatur in den Handel: Pünktlich zum Weihnachtsgeschäft soll der neue C64 erscheinen. (C64, Commodore)
Quelle: Golem
