Saykara today announced the release of Kara 2.0, an AI-powered healthcare assistant that further simplifies the documentation process for physicians. Now featuring Ambient Mode, Kara 2.0 is a breakthrough AI-powered voice application for healthcare, allowing physicians and patients to interact as they normally do, all while Saykara listens, transcribes to text, parses text into structured data, and intelligently completes each form in a patient's electronic health record (EHR or chart). Saykara then automatically generates a clinic note including patient history, physical, assessment, plan, orders and referrals. With the release of Ambient Mode, Saykara is the only virtual healthcare assistant that can be used passively'in the room' during physician-patient appointments with no voice commands. Ambient Mode builds on Saykara's versatility and agnosticity, allowing it to better serve up to 18 disparate healthcare specialties, including primary care, pediatrics, internal medicine, orthopedics, urology and more.
Artificial intelligence has been around for half a century, but it has only recently become a real player in the healthcare space. Harjinder Sandhu, the CEO and founder of SayKara, says that's all down to data. "The data never really existed" for AI to take off, Sandhu said on a panel about AI and the future of healthcare at the 2018 GeekWire Summit. "In healthcare specifically, if you look back 20 years, virtually every medical record was on paper." Sandhu was joined on stage by Michael Calhoun, CEO and co-founder of medical imaging analysis company Mindshare Medical, and Anisha Sood, a partner at Echo Health Ventures.
Twistle, a Seattle-based developer of a health care communication platform with automated workflows, today announced that it's raised $16 million in series A funding led by Health Enterprise Partners (HEP) and MemorialCare Health System's MemorialCare Innovation Fund (MCIF). The fresh funds bring the company's total raised to $19.8 million, which CEO Kulmeet Singh said will bolster Twistle's customer acquisition efforts in the provider and life sciences segments. "We are particularly impressed with their partnerships with leading provider and payer enterprises, and their records of helping innovative healthcare technology companies succeed," said Singh, who cofounded Twistle in 2011 with Harjinder Sandhu. "We think they are the ideal partners to help us lead healthcare into a new era of communication effectiveness … If we want to deliver great care and bend the cost curve in this country, we cannot continue following the status quo. We have to use automation to increase the effectiveness of our care teams and find better ways to motivate patients to take ownership of their own health."
AntWorks, a provider of artificial intelligence (AI) and automation products and solutions, on Monday said that it has raised $15 million from Japanese venture capital firm SBI Investment in a series A funding round. The company did not disclose the valuation of the deal and other transactional details. The Singapore-headquartered company pointed out that the funding will be utilised to fuel its growth plans across product offerings, strengthening its research and development (R&D) base, ramping up its marketing and sales channel, and foraying into newer markets. SBI Investment, a subsidiary of financial-services company SBI Holdings, will also form a joint venture with AntWorks to expand its base and tap into the emerging AI market in South-East Asia. AntWorks was founded by former vice-president and head of Infosys BPO for Asia Pacific, Asheesh Mehra along with Govind Sandhu in 2015.
Augmedix, a startup that uses natural language processing (NLP) and devices to populate medical documentation from clinician-patient conversations, has raised $19 million in Series B funding. Redmile Group, McKesson Ventures, DCM Ventures, Wanxiang Healthcare Investments and other unnamed investors all contributed. Founded in 2012, the startup made a name for itself by outfitting doctors with Google Glass devices. Through these, professional medical scribes could remotely observe the visit and, with the help of NLP, fill out the patient's necessary documentation. This approach allows the clinician to remained focused on engaging their patient, only needing to sign off on or make minor adjustments to the documentation at the end of the visit.