Remove EHR Remove Interoperability Remove Primary Care Remove Training
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Electronic Health Records (EHR): How to Achieve Healthcare Data Accuracy with Artificial Intelligence

Healthcare IT Today

Electronic Health Records (EHRs) were designed to streamline operations and improve coordination across healthcare systems. And while EHRs have largely benefited the organizations that have adopted them, data accuracy is still a point of concern. Data entry is still fraught with human error.

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CareTeam enables whole-patient care approach with athenahealth EHR

Healthcare IT News - Telehealth

CareTeam is a primary care organization that partners with employers to operate on-site, near-site and shared-site clinics for employees. It takes a personalized approach to care, as well as a whole-patient approach. CareTeam used athenahealth's EHR technology to operate more clinics and scale its business.

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AI: Patients Included

Health Populi

“Encouraging generative AI adoption in healthcare depends on instilling models with empathy and domain-specific knowledge, mitigating bias by connecting the data ecosystem and continuously fine-tuning models, keeping humans in the loop and developing more cost-effective ways to train and run multi-modal foundation models,” the paper recommended.

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Bonus Features – April 21, 2024 – 89% of physicians said generative AI vendors need to be transparent about where info comes from, 73% of consumers expect a 4-star rating before they’ll engage with a provider, plus 21 more stories

Healthcare IT Today

Another 13% do it to transition to retirement, and 13% more do it because they’re in between phases of training. Less than 26% of patients said they’d experienced a high level of care , according to a report from Soliant. That’s compared to more than 36% who said they were dissatisfied with their care experience.

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Crystal Ball Chronicles: Reflecting on Out of Pocket Health’s 2024 Predictions

Redox

Original prediction: We won’t see accelerated adoption of interoperability standards (e.g., HL7 ® , HL7 ® Fast Healthcare Interoperability Resources or FHIR ® ). The argument makes sense in the abstract or hypothetical use of large swaths of healthcare data for ML training and insight. Data standards rendered obsolete?

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Weekly Roundup – December 3, 2022

Healthcare IT Today

At the CHIME Fall Forum, John sat down with Hannah Ellerbee at Divurgent about what leadership should look out for, whether it’s inadequate staff training or poorly performing technology tools. Read more… Direct Primary Care Well Represented at #HLTH2022.

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Weekly Roundup – November 4, 2023

Healthcare IT Today

Read more… Overcoming Obstacles to Healthcare Training Data Accuracy. AI models need to be trained on high-quality data. Cybersecurity, privacy, and interoperability represent the biggest hurdles that vendors will need to overcome. John Lynn talked to Mark Christensen at Xelex.ai

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