The use of Telehealth skyrocketed in 2020. Fueled by the COVID-19 pandemic, Telehealth claims rose over 2900% through September of 2020, rising from 0.16% of all claims lines to over 5%. Lest you think telehealth was a new paradigm begrudgingly accepted by patients, consider that customer satisfaction for telehealth visits has been surprisingly high, 86% in a recent JD Power survey, making it far more than a passing fad or a constraint due to the pandemic. This implies that for certain types of clinical visits, telehealth is likely here to stay alongside in-person clinical care. Truth is, a lot can be accomplished remotely with the combination of real-time video, photos, self-testing and clinician/patient remote interaction, and patients have rapidly recognized the value, time savings and convenience, which brings us to the next trend.
As more visits become remote, perhaps you may not always need a clinician. Not that we will ever lose the need for doctors, but more health diagnoses may occur via AI analysis. It turns out AI is very effective at examining X-rays, CT scans, dermatology photos and other conditions that rely on image analysis. Recent studies prove that AI-based diagnostic systems and radiologists are able to diagnose conditions with the same confidence interval with results on par with healthcare professionals. Picture yourself for a minute talking to an automated virtual clinician to upload a few images that are sent to outside labs for AI processing, and you have a sense of what the next phase of virtual healthcare may look like, all of which brings us to our next trend.
As you may have guessed, the prior two trends do come at a cost. The security and integrity of the growing amounts of digital information shared between patients and providers remain of paramount importance. In the US, HIPAA regulations mandate both data integrity and data security requirements for electronic protected health information (ePHI). Whether it’s photos and videos from a remote clinical visit, data gathered from wearable devices or images sent for AI analysis to outside labs, it is critical to guard against hacks, breaches, manipulations and fraud, particularly in today’s world that has rapidly expanded outside of the closed clinical settings.
From a cybersecurity perspective, the security endpoints now include a patient’s home and external labs that use AI for intelligent image analysis. Consider that the number of healthcare breaches reported in the US, for over 500 records, has risen from 18 in 2009 to 642 in 2020, affecting over 268 million records, a staggering number. What can be done to curtail the risk, in light of these advancements?
The shift to telehealth and AI-based external laboratories calls for a new process to protect ePHI from the point of capture throughout its lifecycle. Consider the case of an image, which may originate from the comfort of someone’s home. A patient may send the image to a provider who in turn sends it to outside labs for diagnosis, using advanced AI. For ePHI which typically remains in a clinical setting, that is quite a journey. What can be done to better secure this process? Here are two suggested enhancements:
How can this be done? It so happens that technologies, such as blockchain, are particularly adept at maintaining chain of custody of medical data and, if implemented securely, can do so without storing any private or protected health information on the blockchain. Furthermore, AI can automate the de-identification of images before they are sent for external analysis to minimize the risk of breach.
Ultimately, a scalable solution that verifies the validity of data throughout the lifecycle and secures patient information may be a worthwhile investment. If you are looking to embrace the newest trends in healthcare and upgrade your security process to protect critical data, let us know.
Attestiv provides authenticity and validation for digital photos, videos and documents using patented tamper-proofing blockchain technology and AI analysis.
Deepfakes and Claims Automation
Deepfakes: An Insurance Industry Threat
Attestiv Platform verifies the authenticity of digital media and data for businesses who want to build trust, save money, and improve service.
Nicos Vekiarides is the Chief Executive Officer & co-founder of Attestiv. He has spent the past 20+ years in enterprise IT and cloud, as a CEO & entrepreneur, bringing innovative new technologies to market. His previous startup, TwinStrata, an innovative cloud storage company where he pioneered cloud-integrated storage for the enterprise, was acquired by EMC in 2014. Before that, he brought to market the industry’s first storage virtualization appliance for StorageApps, a company later acquired by HP.
Nicos holds 6 technology patents in storage, networking and cloud technology and has published numerous articles on new technologies. Nicos is a partner at Mentors Fund, an early-stage venture fund, a mentor at Founder Institute Boston, where he coaches first-time entrepreneurs, and an advisor to several companies. Nicos holds degrees from MIT and Carnegie Mellon University.
Mark Morley is the Chief Operating Officer of Attestiv.
He received his formative Data Integrity training at Deloitte. Served as the CFO of Iomega (NYSE), the international manufacturer of Zip storage devices, at the time, the second fastest-growing public company in the U.S.. He served as the CFO of Encore Computer (NASDAQ) as it grew from Revenue of $2 million to over $200 million. During “Desert Storm”, Mark was required to hold the highest U.S. and NATO clearances.
Mark authored a seminal article on Data Integrity online (Wall Street Journal Online). Additionally, he served as EVP, General Counsel and CFO at Digital Guardian, a high-growth cybersecurity company.
Earlier in his career, he worked at an independent insurance agency, Amica as a claims representative, and was the CEO of the captive insurance subsidiary of a NYSE company.
He obtained Bachelor (Economics) and Doctor of Law degrees from Boston College and is a graduate of Harvard Business School.