ehr2phr.health

Analisi sito web ehr2phr.health

EHR2PHR

 Generato il Gennaio 06 2026 22:18 PM

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Title

EHR2PHR

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Description

Personal Electronic Health Record (PEHR) centralizes Medical Records in the patient's unique personal EHR. SMART PEHR is using Personal EHR, Real-Word Data (RWD),DNA and Real-World Evidence (RWE) to turn decentralized clinical trials (DCTs)and observational studies into Real World Trials

Lunghezza : 288

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Proprieta Contenuto
locale en_US
locale:alternate pt_BR
type website
title EHR2PHR
description EHR2PHR DCT Empowering Clinical Research:A Patient-Centric Platform for Real-Time Interoperability, Connecting AI, ML, and NLP Analytics with Research Data in Centralized and Decentralized Clinical Trials
url https://ehr2phr.health/
site_name EHR2PHR
image https://ehr2phr.health/wp-content/uploads/2023/12/ehr2phr-imgs-001.jpg
image:width 1343
image:height 970
image:type image/jpeg

Headings

H1 H2 H3 H4 H5 H6
1 9 1 4 1 10
  • [H1] Features
  • [H2] OUR CLIENTS
  • [H2] CLINICAL TRIAL TYPES
  • [H2] Outcomes
  • [H2] For Hospitals
  • [H2] EHR2PHR DCT
  • [H2] HOSPITALS
  • [H2] Professional Services
  • [H2] About us
  • [H2] Contact Us
  • [H3] EHR2PHR DCT: Data platform infrastructure for clinical research.
  • [H4] A Patient-Centric Platform for Real-Time Interoperability, Connecting AI, ML, and NLP Analytics with Research Data in Centralized and Decentralized Clinical Trials. EHR2PHR DCT Empowering Clinical Research for: pharmaceutical companies, hospitals participating in clinical trials, scientific investigation organizations and CROs.
  • [H4] The EHR2PHR DCT platform is advancing clinical trials and observational studies into the next generation: Real World Trials. Our Personal Electronic Health Record (PEHR) centralizes medical records within each patient's unique personal EHR
  • [H4] CT + SMART PEHR = RWE DCT DCT +(AI + ML + NLP)= Safer CT
  • [H4] DCT +(AI + ML + NLP)= Shorter CT DCT +(AI + ML + NLP)= Cost-effective CT
  • [H5] Smart Data Lake is a centralized repository of raw data from various sources within the healthcare industry. It is designed to store and manage vast amounts of structured and unstructured data in its native format, including medical records, clinical trial data, claims data, patient-generated data, and other health-related information.
  • [H6] EHR2PHR DCT Clinical Data Warehouse (CDW) is a real time database that harmonizes and consolidates data from a variety of clinical sources to present a unified view of a single patient.
  • [H6] EHR2PHR DCT makes a difference through analytics and Machine Learning (ML) and Artificial Intelligence (AI)-driven applications, based on diverse data from across the care continuum.
  • [H6] EHR2PHR DCT provides an opportunity to change how research studies are conducted, enabling a single point of connection to any number of data sources.
  • [H6] Predictive Care Analytics providers (AI and ML) are connected with EHR2PHR DCT Platform, using big data to spot warning signs and anomalies in patterns so that preventive actions can be taken.
  • [H6] EHR2PHR DCT aggregates Real World Data, patient data from different electronic medical record (EMR) systems, eCOA, hospital records, connected diagnosis labs, DNA sequencing, imaging institutions, devices, wearables, ePRO, telehealth and home healthcare visits.
  • [H6] Life sciences and pharmaceutical companies can gain great value by using Real-World Data : EHR2PHR DCT connects the world’s health data to improve patient outcomes, linking study data with RWD.
  • [H6] Pharmaceutical companies that are sponsoring clinical trial Customers. Hospitals that are participating in clinical trials.Scientific investigation organizations that are running or participating in clinical trials.CROs (Contract Research Organizations) that provide clinical trial management services.
  • [H6] New Decentralized clinical trials (DCTs). Traditional centralized clinical trials with the challenge to process the data with AI and ML, to get Genomics diagnosis or to connect a few centralized clinical trials into one global Trial (few countries).Finished clinical trials with the challenge to process the data with AI and MLObservational studies where researchers observe the effect of a risk factor, diagnostic test, treatment or another procedure.
  • [H6] Monitoring and data review costs are reduced Improved clinical trial efficiency and patient enrollment Faster evidence generation and insights Elimination of some of the administration costs that result with in-person visits
  • [H6] Enhanced patient retention Improved transparency for researchers Patient utilization pattern prediction Decentralized approach to faster recruitment Time, Cost, Risk, and Patient Centricity optimization

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Anchor Type Juice
Skip to content Interno Passing Juice
EHR TO(2) PHR Interno Passing Juice
Product EHR2PHR Interno Passing Juice
AI & Machine Learning Interno Passing Juice
Technology, standards and regulations Interno Passing Juice
Professional services Interno Passing Juice
SMART DATA LAKE Interno Passing Juice
SMART DATA FABRIC Interno Passing Juice
About Us Interno Passing Juice
Tech Partners Interno Passing Juice
Social Impact Interno Passing Juice
Ethics Interno Passing Juice
Contact us Interno Passing Juice

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ehr2phr 1

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