One Article Review
| Source |  AlienVault Lab Blog |
|---|---|
| Identifiant | 8338681 |
| Date de publication | 2023-05-23 10:00:00 (vue: 2023-05-23 10:07:05) |
| Titre | L'intersection de la télésanté, de l'IA et de la cybersécurité The intersection of telehealth, AI, and Cybersecurity |
| Texte | The content of this post is solely the responsibility of the author. AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. Artificial intelligence is the hottest topic in tech today. AI algorithms are capable of breaking down massive amounts of data in the blink of an eye and have the potential to help us all lead healthier, happier lives. The power of machine learning means that AI-integrated telehealth services are on the rise, too. Almost every progressive provider today uses some amount of AI to track patients’ health data, schedule appointments, or automatically order medicine. However, AI-integrated telehealth may pose a cybersecurity risk. New technology is vulnerable to malicious actors and complex AI systems are largely reliant on a web of interconnected Internet of Things (IoT) devices. Before adopting AI, providers and patients must understand the unique opportunities and challenges that come with automation and algorithms. Improving the healthcare consumer journey Effective telehealth care is all about connecting patients with the right provider at the right time. Folks who need treatment can’t be delayed by bureaucratic practices or burdensome red tape. AI can improve the patient journey by automating monotonous tasks and improving the efficiency of customer identity and access management (CIAM) software. CIAM software that uses AI can utilize digital identity solutions to automate the registration and patient service process. This is important, as most patients say that they’d rather resolve their own questions and queries on their own before speaking to a service agent. Self-service features even allow patients to share important third-party data with telehealth systems via IoT tech like smartwatches. AI-integrated CIAM software is interoperable, too. This means that patients and providers can connect to the CIAM using omnichannel pathways. As a result, users can use data from multiple systems within the same telehealth digital ecosystem. However, this omnichannel approach to the healthcare consumer journey still needs to be HIPAA compliant and protect patient privacy. Medicine and diagnoses Misdiagnoses are more common than most people realize. In the US, 12 million people are misdiagnosed every year. Diagnoses may be even more tricky via telehealth, as doctors can’t read patients\' body language or physically inspect their symptoms. AI can improve the accuracy of diagnoses by leveraging machine learning algorithms during the decision-making process. These programs can be taught how to distinguish between different types of diseases and may point doctors in the right direction. Preliminary findings suggest that this can improve the accuracy of medical diagnoses to 99.5%. Automated programs can help patients maintain their medicine and re-order repeat prescriptions. This is particularly important for rural patients who are unable to visit the doctor\'s office and may have limited time to call in. As a result, telehealth portals that use AI to automate the process help providers close the rural-urban divide. Ethical considerations AI has clear benefits in telehealth. However, machine learning programs and automated platforms do put patient data at i |
| Notes | ★★ |
| Envoyé | Oui |
| Condensat | “baking ability about access accuracy across actors additionally adopt adopting adoption agent algorithms all allow almost altogether among amount amounts any appointments approach apps are article artificial at&t attack authentication author automate automated automatically automating automation back balances been before being benefits better between blink body breaking build burdensome bureaucratic but call can can’t cannot capable care challenges chatgpt checks ciam clear close combat come common complex compliant concern conclusion condition confidential confidentiality connect connecting connection considerations consumer content corner customer cybersecurity data decision decrease delayed devices diagnoses different digital direction diseases distinguish divide doctor doctors does down during ecosystem effective efficiency efficient empathize endorse enter entry ethical even ever every exposure extremely eye factor faulty features findings firm flaws folks fraud from gaining give globe growing hacking happier has have health healthcare healthier help hipaa hiring hottest how however human identity idle implications important improve improving in” inactive increased information inspect instead integrated intelligence interaction interconnected internet interoperable intersection involved iot it’s journey language largely lead learning leveraging lieu life like limited lives log low machine maintain making malicious management many massive may means medical medicine million misdiagnosed misdiagnoses monotonous more most multiple must naturally need needs network new not noting notorious office omnichannel opportunities order out own particularly party pathways patient patients patients’ people physically platforms play point points portals pose positions post potential power powered practices preliminary prescriptions present privacy procedures process programs progressive protect provided provider providers providing put queries questions rapidly rather read real realize red reduce registration regularly relevant reliant repeat replace replacing requiring resolve responding responsibility result right rise risk risks role rural same say scammers schedule screening seat secure security seen self sense sensitive service services share should simple smartwatches software solely solutions some speaking specialists spot step steps suggest support symptoms systems tape tasks taught team tech technology telehealth testing than themselves therapists therapy these they’d things third time timing today too topic towards track trained trawl treatment tricky trust trying turn two types unable understand unfortunately unique update urban use user users uses using utilize utilizing views visit vulnerable want weak web when who wider will within work worth year |
| Tags | Medical |
| Stories | ChatGPT ChatGPT |
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