article thumbnail

Yonsei University Health System’s Connect-DTx initiative: transforming patient care and medical access

Digital Health Global

Moreover, the initiative aims to expand its services through collaboration with EMR (electronic medical record) companies in primary and secondary medical institutions, focusing on conditions such as dementia, Parkinson’s disease, and smoking cessation.

EMR 166
article thumbnail

Te Toka Tumai Auckland rolling out FHIR-ed-up PAS and more briefs

Healthcare IT News - Telehealth

The ideal solution, it said, must be "flexible and fully digital with automated end-to-end system commencing from point of contact to results on a user interface and records management." The CARe-MED study, which has received A$1.4 The CARe-MED study, which has received A$1.4

FHIR 129
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

5 Digital Health Predictions for 2018 by Lloyd Price

Lloyd Price

This will allow the developers to address issues in connecting their apps to the Epic EMR. Previously, Epic wouldn’t let mobile app developers connect to its EMR until a customer requested permission on their behalf. 2018 Digital Health Prediction 2: Voice technology will be the first step to personalising pharma.

article thumbnail

2024 Healthcare AI Trends: Leading the Future

NiftyHMS

Lab Reports Manual handling Digitalized reports AI-powered image analysis tools can highlight areas of concern, quantify disease severity, and facilitate more accurate interpretations of medical images.

EMR 73
article thumbnail

How to build a predictive model, from a healthcare perspective?

Digital Health Hub

Preview in new tab Step 1: Data Collection To collect good quality data, it is essential to ensure: (i) data completeness : e.g. ensure that there are fewer missing values recorded from sensors, a smaller number of missing attributes in EHRs, EMRs, etc. (ii) EMRs, EHRs) and unstructured (e.g.,

EMR 52
article thumbnail

How to build a predictive model, from a healthcare perspective?

Digital Health Hub

To collect good quality data, it is essential to ensure: (i) data completeness : e.g. ensure that there are fewer missing values recorded from sensors, a smaller number of missing attributes in EHRs, EMRs, etc. (ii) When data is obtained, they are often not in a form that is suitable for further analysis.

EMR 52
article thumbnail

Telecom companies are quietly building a big presence in HealthTech: 5 Case Studies explore further

Lloyd Price

Engage with the HealthTech Community HealthTech M&A Newsletter from Nelson Advisors - Market Insights & Analysis for Founders & Investors. HealthTech Thought Leadership from Nelson Advisors - Industry Insights & Analysis for Founders, Owners & Investors.