In the healthcare ecosystem, the hype around AI has created chaos among providers and payers in identifying an expert that can help them leverage these technologies to enable better patient care. “At DocSynk, we end this dilemma through our smart and cost-effective AI solutions for healthcare,” says the company’s Founder and CEO, Vaidyanatha Siva, an industry veteran with over 20 years of experience serving as the CTO of brands like Parkland Center for Clinical Innovation and Infosys. DocSynk’s pragmatic “AI Inside” solution is a one-stop-shop that provides value for the patients, physicians, and payers and solves some of the most critical issues revolving around population health management (PHM), revenue cycle management (RCM), and patient engagement.
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AI startups across the U.S. raised a record $1.9 billion in VC funding during the first quarter of 2018. DocSynk is based in Irving and brings AI solutions across health care in three specific areas, including: population health management, revenue cycle management, and AI chatbots for patient care and patient engagement.
For population health management, DocSynk offers an AI-powered risk bundle that IDs patients at risk of chronic conditions and automatically recommends treatment and care management pathways. One example is identifying patients with pre-diabetes or metabolic syndrome in order to get those people on MDPP (Medicare Diabetes Prevention Plan) and dramatically reduce the expected cost of care for those patients.
It has an AI chatbot to manage care and engagement for cancer patients and provide a way for those people to handle operational and financial aspects of their care.
In the back office, DocSynk’s revenue cycle management AI platform automates key processes of contract and claims management to save both time and money. The company said it has demonstrated a 100 times performance improvement for large RCM (regulatory compliance mark) organizations for some processes in contract and claims management.
According to DocSynk, it has just scratched the surface of the potential for AI applications in health care with the next step being uncovering specific use cases that deliver clinical, financial, or operational value to patients and health care organizations. Some areas to watch, according to the company, include human-AI interaction through solutions like DocSynk’s chatbot, cancer immunotherapy breakthroughs enabled by AI, and the mainstreaming of AI in the business side of healthcare in the next five years.
IRVING, Texas--(BUSINESS WIRE)--Lightbeam Health Solutions, the leader in end-to-end population health management solutions, announced today they are integrating artificial intelligence (AI) technology incorporating machine and deep learning functionality into their population health management platform, a technology powered by DocSynk. This solution will improve identification and targeting of patient groups to reduce costs and improve quality.
One of the initial targets is related to the identification of prediabetics and undiagnosed diabetics to support programs such as the Medicare Diabetes Prevention Program (MDPP). Lightbeam also intends to turn the technology toward predicting visits to the emergency department before they happen.
“We are excited to help our clients realize the benefits of machine learning and AI tools to improve outcomes,” said Pat Cline, CEO of Lightbeam Health Solutions. “The technology is impressive. Vaidyanatha Siva at DocSynk is one of the best in the field of machine learning and together, we’ll apply this technology to real-world problems in support of our clients as they operate in a way that rewards value over volume.”
DocSynk's new machine-learning platform uses data science to put people in control of their healthcare, driving productivity and reducing costs for employers, insurers, and doctors.
Finding doctors, scheduling appointments, keeping on top of insurance, and complying with wellness and treatment plans are challenges we all have to face. It's a lot to keep track of. DocSynk is working to make it all much easier with a smarter, simpler app that uses the latest in machine learning and data science to deal with the complexity.
Today, the company announced that it closed a $1 million seed funding round led by Dallas-based Naya Ventures.
“DocSynk’s mission of bringing transformation in patient engagement is sorely needed in US healthcare. Organizations of every size are looking for DocSynk's innovative solutions,” said Dayakar Puskoor, the managing director of Naya Ventures. “With DocSynk, health care providers, employers and employees can all benefit in a win-win partnership.”
DALLAS, May 31, 2017 (GLOBE NEWSWIRE) -- DocSynk, a healthcare machine learning and artificial intelligence (AI) platform, today announced that its new AI-powered cloud-based app for the healthcare industry has received the “Popular Choice” award in the GE Health Cloud Innovation Challenge, a competition among Independent Software Vendors (ISVs) to develop a cloud-based application that has the greatest potential to improve clinical, financial and/or operational outcomes in healthcare. The company also received an “Honorable Mention” in the Operational Category.
The DocSynk patient app is an intelligent assistant that puts patients at the center and empowers them at every touchpoint within the healthcare system. For providers, the app improves revenue cycle for providers through optimized patient scheduling with in-network providers, cleaner claims and improved cash flow.