This week’s articles include: patients’ desire to read their radiology reports; new telehealth ethical guidance from the AMA; a survey reports both payers and managed care organizations are interested in adopting telemedicine

Public HealthIT Cloud

technology; a research study reports more than 75 percent of healthcare organizations plan to move IT systems to a public cloud within the year; and a joint HIMSS/SIIM white paper identifies seven key elements to a successful enterprise imaging program.

Do patients want to read their radiology reports? – Auntminnie

Radiology reports aren’t just for referring physicians anymore. In fact, more than 50% of patients who have online access to their reports read them — and want to discuss the results with their radiologist, according to a new study published online in Academic Radiology.

EMRs for healthIT and a new imaging modality are in the news

This week’s articles include: the VA has joined a program that makes it easier for patients to access their electronic medical records; a study examines whether hospitals hesitate to adopt order-entry clinical decision support tools CT Brain Scansthat could drive imaging referrals outside the system; researchers in Portugal are developing an endoscopic scanner that will provide advanced imaging within the body and aid in early detection of cancers that are often found too late; a couple in West Virginia filed a lawsuit against a radiology practice and an individual radiologist for overlooking a brain tumor in CT scans; and Facebook advertising can help speed patients with inflammatory back pain toward appropriate diagnostic procedures.

VA joins NATE, as record sharing movement gains momentum – Health Data Management

The National Association for Trusted Exchange (NATE) has taken another step forward in building momentum for enabling consumers to access and control their healthcare information. The U.S. Department of Veterans Affairs has become the newest member of NATE, a private-public program that aims to make it easier for patients to securely access their records electronically and improve the HIE between data holders and healthcare consumers.

För att stora data ska kunna leva upp till sin potential måste sjukvårdens IT-infrastruktur vara anpassad därefter

Det ställs allt högre förväntningar på att tillämpningen av Big Data inom sjukvårds-IT ska revolutionera tillhandahållandet av hälso- och sjukvårdstjänster världen över. För att kunna utnyttja dessa möjligheter  måste varje hälso- och sjukvårdsorganisation skapa en infrastruktur som gör det möjligt för Big Data att fungera inom verksamheten genom att:

  • Hantera stora mängder data och stödja dataöverföringar i väldigt höga hastigheter.
  • Införa ett hanteringssystem som kan hantera olika datatyper och källor, granska kvaliteten på registrerade data och hantera inkonsekvens mellan vissa data.
  • Öka värdet genom att tillämpa de kliniska insikter som erhållits från data i praktiken, vilket kan driva vårdkvaliteten framåt.

Vårdorganisationer hanterar en ökande mängd HIT-data där en stor del kommer från radiologi och andra bildanalysstudier. Dr. John Halamka, IT-direktör vid Beth Israel Deaconess Medical Center (BIDMC) i Boston, Massachusetts, sa nyligen i en artikel i Harvard Business Review att hans mål inte är att överhopa läkare med Big Data, utan att utrusta dem med den information de behöver för att fatta kloka kliniska beslut.

Store data skal have den rigtige sundheds-IT-infrastruktur for at udnytte deres potentiale fuldt ud Der er en stigende forventning om, at anvendelse af “store data” i sundheds-IT vil revolutionere leveringen af serviceydelser inden for sundhedsvæsenet i hele verden. For at udnytte sit potentiale fuldt ud skal

Big data needs the right health IT infrastructure to live up to its potential

There is a rising expectation that the application of “big data” in health IT will revolutionize the delivery of healthcare services across the globe. To achieve its potential, each healthcare organization must build an infrastructure that allows big data to work within its enterprise by:Image showing volume of big data

  • Handling large volumes of data and support very high speed data transfers,
  • Deploying a management system that can handle varying data types and sources, verify the quality of captured data and address the inconsistency of some data; and
  • Maximizing value by applying the clinical insights gained from data into practical uses that can drive the quality of care.

Alzheimer’s detection and the NFL are in the news

This week’s articles include: Almost every U.S. hospital is using EHRs to manage care at the point of delivery; U.S. cancer survivors will reach 20 million by 2026; contrast-enhanced MR images revealed that people with early Image of Electronic Health RecordsAlzheimer’s disease have leakages in their blood-brain barrier; researcher says head CT radiation can be reduced by 90 percent; and stolen laptop could mean compromised health records for NFL.

ONC and CMS: We’re at a critical inflection point for EHRs, interoperability – Healthcare IT News

Now that almost all U.S. hospitals are using electronic health records, the industry is ready for the next phase of information sharing, improved outcomes and collecting the digital dividend. Patrick Conway, MD, chief medical officer at the Centers for Medicare and Medicaid Services, said the nation is moving into the next stage where patients consistently and reliably have access to their own data that drives better outcomes.

U.S. cancer survivors will number 20 million by 2026 –

A study by the American Cancer Society found that there will be 20 million cancer survivors in the U.S. by 2026, an increase of almost 5 million compared with the number of survivors alive today. The group found that more than 15.5 million Americans with a history of cancer were alive on Jan. 1, 2016, and this number is projected to reach more than 20 million by Jan. 1, 2026.

Differences have implications for assessment, quality assurance, and training Healthcare imaging technologies and options are continually evolving, and their applications in radiology can be puzzling.  One area of confusion is the respective roles of Quantitative Image Analysis (QIA) and Computer-Aided Diagnosis (CAD). Recently we collaborated with