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Startup Fold Health launched this week. It’s developed a suite of modular tools that are interoperable with existing EHRs or platforms to enable them to work better, together. Fold’s main claim is to “move primary care beyond the constraints of a 15-minute visit and provide a revolutionary consumer first experience through micro, automated workflows and campaigns of care.” There is an athenahealth connection, in that the founders were from Praxify, a virtual assistant/patient engagement app bought by athenahealth for $65 million in 2017. It has a $6 million seed investment from athenahealth. FierceHealthcare

On the other side of the funding mountain,  Olive, an AI-enabled data cruncher that automates routine administrative healthcare processes such as revenue cycle management, has pink-slipped 450 employees, about one-third of its staff. In a letter to employees excerpted in Axios, Olive cites ‘missteps’ and ‘lack of focus’. It follows hiring freezes, major staff departures, and overpromising/underdelivering, including not using AI or machine learning for automating tasks, featured in an April Axios investigation. Olive has gone through over $850 million in nine rounds of funding (the last July 2021, Series H–Crunchbase). FierceHealthcare

Cyber attacks with internal breaches account for 38% of UK organizations’ (of all types) data losses in 2022. This is based on the Data Health Check survey of 400 IT decision makers compiled by Data Barracks, a cloud-based business continuity organization. The second and third reasons for data loss are human error and hardware failure. Of those surveyed, over half have experienced a cyber attack, most commonly caused by ransomware. 44% paid the ransom, 34% didn’t and used backups. Their recommendations include frequent backups and keeping track of how many data versions–both will minimize downtime and data loss. Release, full report

By contrast, returning to the US and healthcare, malicious hacking activity accounts for nearly 80% of all breaches. Fortified Health Security’s mid-year report on the state of healthcare cybersecurity, reviewing HHS Office for Civil Rights (OCR) data,  noted that in first half 2022:

Can AI (and machine learning-ML) lessen breaches–or open the door to worse problems, such as algorithmic bias, plus data privacy and security concerns? Vast quantities of data pumped through AI or ML algorithms are harder to secure. If the algorithms are built incorrectly–such as eliminating or underrepresenting certain populations–what comes out will be skewed and possibly misleading. In the Healthcare Strategies podcast, Linda Malek of healthcare law firm Moses & Singer, who chairs their healthcare, privacy, and cybersecurity practice group, discusses the problems. She suggests some best practices around transparency, security, privacy, and accuracy when developing an AI algorithm, including collecting as much data as possible, and as diverse as possible, for accuracy. Additionally, the design should incorporate privacy and security from the start. HealthcareExecIntelligence

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Editor in Chief: Donna Cusano (See articles) Contributing Editors: Charles Lowe (See articles) Chrys Meewella (See articles) Founder: Steve Hards

Telehealth and Telecare Aware posts pointers to a broad range of news items. Authors of those items often use terms 'telecare' and telehealth' in inventive and idiosyncratic ways. Telecare Aware's editors can generally live with that variation. However, when we use these terms we usually mean:

• Telecare: from simple personal alarms (AKA pendant/panic/medical/social alarms, PERS, and so on) through to smart homes that focus on alerts for risk including, for example: falls; smoke; changes in daily activity patterns and 'wandering'. Telecare may also be used to confirm that someone is safe and to prompt them to take medication. The alert generates an appropriate response to the situation allowing someone to live more independently and confidently in their own home for longer.

• Telehealth: as in remote vital signs monitoring. Vital signs of patients with long term conditions are measured daily by devices at home and the data sent to a monitoring centre for response by a nurse or doctor if they fall outside predetermined norms. Telehealth has been shown to replace routine trips for check-ups; to speed interventions when health deteriorates, and to reduce stress by educating patients about their condition.

Telecare Aware's editors concentrate on what we perceive to be significant events and technological and other developments in telecare and telehealth. We make no apology for being independent and opinionated or for trying to be interesting rather than comprehensive.

Ireland's Telecare Magazine Care Predict UK's Health Tech Knowledge Transfer Network (KTN) - A particularly useful newsletter Aging In Place Tech Watch Telehealth Quality Group Boomer Health Tech Watch e-CareManagement ISfTeH mHealth Insight (was 3G Doctor) The Telecare Blog ZDNet Healthcare Telecare24 blog EthicalNag Independent for Longer (was 'Mick's House') Heart Sisters

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