Dedi Gilad Archives - Mediformatica

‘You’ve got to play different roles in different circumstances,’ says Epic Emeritus CMIO

June 10, 2025June 10, 2025

Emerging technologies in healthcare, part 3: Lila Sciences

June 10, 2025June 10, 2025

From Raw Records to Real-Time Insights: Climbing Pharma’s Real-World Data Maturity Curve

June 10, 2025June 10, 2025

Development and validation of an interpretable risk prediction model for the early classification of thalassemia

June 10, 2025June 10, 2025

TytoCare Announces $49 Million Funding Round and Launches New Care Modules | Healthcare IT Today

August 25, 2023August 25, 2023Healthcare IT Today

Funding Round Led by Existing Investor Insight Partners and Includes New Strategic Health System and Pension Fund Investors MemorialCare, HOOPP, and Clal

TytoCare, a virtual care company enabling leading health plans and providers to deliver…

Quotes

The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

‘You’ve got to play different roles in different circumstances,’ says Epic Emeritus CMIO
June 10, 2025June 10, 2025Comments Off on ‘You’ve got to play different roles in different circumstances,’ says Epic Emeritus CMIO
Emerging technologies in healthcare, part 3: Lila Sciences
June 10, 2025June 10, 2025Comments Off on Emerging technologies in healthcare, part 3: Lila Sciences
From Raw Records to Real-Time Insights: Climbing Pharma’s Real-World Data Maturity Curve
June 10, 2025June 10, 2025Comments Off on From Raw Records to Real-Time Insights: Climbing Pharma’s Real-World Data Maturity Curve
Development and validation of an interpretable risk prediction model for the early classification of thalassemia
June 10, 2025June 10, 2025Comments Off on Development and validation of an interpretable risk prediction model for the early classification of thalassemia
Fighting the Chronic Disease Crisis with AI and Value-Based Care
June 10, 2025June 10, 2025Comments Off on Fighting the Chronic Disease Crisis with AI and Value-Based Care
Pooling IT resources can help rural hospitals keep doors open, stay secure
June 10, 2025June 10, 2025Comments Off on Pooling IT resources can help rural hospitals keep doors open, stay secure
A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning
June 10, 2025June 10, 2025Comments Off on A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning
Northern Ireland completes nationwide roll-out of Clinisys WinPath
June 10, 2025June 10, 2025Comments Off on Northern Ireland completes nationwide roll-out of Clinisys WinPath
NHS Confederation and Beamtree partner to launch AI data tool
June 10, 2025June 10, 2025Comments Off on NHS Confederation and Beamtree partner to launch AI data tool
Aussie researchers utilise genome sequencing in treating superbugs
June 10, 2025June 10, 2025Comments Off on Aussie researchers utilise genome sequencing in treating superbugs

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‘You’ve got to play different roles in different circumstances,’ says Epic Emeritus CMIO

Emerging technologies in healthcare, part 3: Lila Sciences

From Raw Records to Real-Time Insights: Climbing Pharma’s Real-World Data Maturity Curve

Development and validation of an interpretable risk prediction model for the early classification of thalassemia

Tag: Dedi Gilad

TytoCare Announces $49 Million Funding Round and Launches New Care Modules | Healthcare IT Today

‘You’ve got to play different roles in different circumstances,’ says Epic Emeritus CMIO

Emerging technologies in healthcare, part 3: Lila Sciences

From Raw Records to Real-Time Insights: Climbing Pharma’s Real-World Data Maturity Curve

Development and validation of an interpretable risk prediction model for the early classification of thalassemia

Fighting the Chronic Disease Crisis with AI and Value-Based Care

Pooling IT resources can help rural hospitals keep doors open, stay secure

A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning

Northern Ireland completes nationwide roll-out of Clinisys WinPath

NHS Confederation and Beamtree partner to launch AI data tool

Aussie researchers utilise genome sequencing in treating superbugs

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