Machine Learning (ML) provides methods, techniques, and tools that can help solving diagnostic and prognostic problems in a variety of medical domains. The rising technology in Machine Learning in Medicine market is also depicted in this research report. Factors that are boosting the growth of the market, and giving a positive push to thrive in the global market is explained in detail. The report delivers a comprehensive overview of the crucial elements of the market and elements such as drivers, restraints, current trends of the past and present times, supervisory scenario, and technological growth. A thorough analysis of these elements has been accepted for defining the future growth prospects of the global Machine Learning in Medicine market.

In this special guest feature Anand Shroff, Co-founder and Chief Development Officer at Health Fidelity, discusses the reality that AI technologies can create opportunity for meaningful, productive patient-provider interactions, primarily by reducing administrative burden, and provides three examples. Anand is one of the founders of Health Fidelity and is responsible for leading corporate strategy, business development, sales, and marketing. Prior to founding Health Fidelity, Anand was Vice President of EHR and HIE products at Optum. Anand has an MBA from the Haas School of Business at the University of California, Berkeley in addition to an MS in Computer Science from the University of California, Santa Barbara. Anand has an undergraduate degree in Computer Engineering from the University of Mumbai.

Health Fidelity is a healthcare startup that developed natural language processing (NLP) software to help payers and providers analyze electronic medical records, claims and administrative data, and medical images to uncover risk factors hidden within clinical charts. The goal is to support risk adjustment for health plans and hospitals for value-based care payment models. In a Q&A via email, Health Fidelity CEO Steve Whitehurst talked about how his business is dealing with the challenge of hiring qualified data scientists and other technology staff for his business with competition not only from other healthcare startups but also established technology companies moving into healthcare. Note: This exchange has been lightly edited. Are health tech startups generally hunting for technology professionals with healthcare experience?

Some AI use cases are already gaining significant traction with tens of vendors competing providing competitive solutions. In healthcare, patient data analytics is such a use case. Patient data analytics solutions allow companies to access multiple sources both within healthcare provider's own records in different systems and from other healthcare providers and clinical studies. These solutions include capabilities to analyze various data formats including natural language to uncover insights. Based on these objective metrics measuring company size, IBM Watson, Flatiron Health, Digital Reasoning Systems, Ayasdi, Linguamatics and Health Fidelity are top vendors in patient data analytics.