The Next Generation of Multi-Media Reporting in Radiology

Interactive features can boost referrals, and foster collaboration and communication

For decades, radiology reports have been limited to a short paragraph that describes a radiologist’s findings. If key images were available, they were often difficult Survey shows physicians prefer multi-media reportsfor clinicians to access and were not part of the report content.

The next generation of reporting contains hyperlinks as part of the radiologist’s findings so clinicians can easily view key images, measurement tables and graphs. These interactive reports can be easily accessed from the EMR using a zero-footprint viewer that delivers rapid access to key findings and data from multiple “ologies,” and provides side-by-side display of DICOM and non-DICOM images. It is so intuitive that users can be proficient within minutes of use.

EMR-driven access also offers a single point of entry to the entire patient folder including clinical data in multiple formats such as images, video, waveforms and PDF-formatted interactive multi-media reports with embedded hyperlinks to key findings that provide secure access to images from mobile devices and computers.

A paper authored by physicians at the National Institutes of Health (NIH) found that radiologists and oncologists preferred having hyperlinks to key data in reports. In a pilot study presented at RSNA 2015, NIH researchers found that the use of quantitative interactive reports led to an average of nearly nine minutes in time savings for the oncologist to assess tumor burden when compared to traditional text-only reporting.

Facilities that offer multi-media reporting also could gain increased referrals from physicians, according to a study conducted by the Emory University School of Medicine. This study found that 80 percent of physicians would preferentially refer patients to a healthcare provider with multi-media reporting—and 79 percent of physicians are more likely to recommend that their peers refer patients to a facility with multi-media reporting.

Equipping patients to access their own medical images is also becoming an important ingredient for increased patient satisfaction. A recent study of 1,000 U.S. adults conducted by IDR Medical, an international healthcare marketing company, confirmed two compelling benefits for delivering a patient portal: 79 percent of patients said they would return to the imaging facility and 76 percent of patients reported they would recommend the provider’s services to others.

Enabling patients to access and manage their own images also has the potential to reduce overutilization of imaging procedures since patients can easily send studies to providers or bring prior studies with them to appointments. And patient care can be enhanced by sharing diagnostic, procedural and evidence-related images, video, waveform and multi-media clinical content directly from the EMR.

The adage that an image is worth a thousand words still holds true. Actually it’s worth more than that. Efficient and contextual access to medical images can help improve care by expediting second opinions while simultaneously building referrals and increasing physician and patient satisfaction. #SIIM16 #enterpriseimaging #healthIT

Kiran Krishnamurthy, Worldwide Product Line Manager, HCIS, CarestreamKiran Krishnamurthy is Carestream’s Worldwide Product Line Manager for Healthcare Information Solutions. He participated in a panel at SIIM16 on Communication and Collaboration Using Enterprise Viewers in the EMR

Diagnostic Reading #24: Five “Must Read” Articles on HIT and Radiology from the Past Week

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.

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Marchés et utilisateurs favorisent le développement de l’échographie

La rationalisation des dépenses de santé et le plébiscite du corps médical font la part belle à l’échographie

Markets and Markets rapporte que le marché global de l’échographie devrait atteindre les 6,86 milliards de dollars d’ici 2020, comparativement aux 5,25 milliards de dollars en 2015. L’adoption croissante de cette technique d’imagerie médicale est en partie nourrie par deux facteurs : ses capacités cliniques grandissantes et le contexte économiques en faveur de techniques d’imagerie peu onéreuses. Continue reading

Market & Medical Forces Boost Ultrasound Adoption

Ultrasound’s expanding clinical capabilities and economics contribute to worldwide growth

Low in cost and minimally invasive, medical ultrasound is steadily infiltrating almost every field of medicine. Breast-ultrasound-image
Markets and Markets
reports that the global ultrasound market is expected to reach $6.86 billion by 2020, up from $5.25 billion in 2015. Ultrasound’s growing adoption is fueled in part by two factors: its expanding clinical
capabilities and economics.

In its early stages, ultrasound was used by radiology to capture images primarily for gynecology, and vascular and cardiac care. Today, its application has broadened into orthopaedics, critical care, sports medicine, rheumatology, pain clinics and numerous other medical specialties. The procedures listed as “common” by the FDA include:

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Diagnostic Reading #23: Five “Must Read” Articles on HIT and Radiology from the Past Week

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.

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Så här skapas HIT-system för stora data som revolutionerar tillhandahållandet av hälso- och sjukvård

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.

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Sådan opbygger du HIT-systemer, som giver store data mulighed for at revolutionere leveringen af sundheds-IT

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 hver sundhedsorganisation opbygge en infrastruktur, som gør det muligt for store data at arbejde inden for virksomheden ved at:

  • Håndtere store mængder data og understøtte data med høje transmissionshastigheder
  • Anvende et styringssystem, som kan klare vekslende datatyper og kilder, verificere kvaliteten af indlæste data og håndtere eventuel datauoverensstemmelse og
  • Maksimere værdien ved at omsætte den kliniske indsigt fra data til praktisk brug, som kan optimere behandlingskvaliteten.

Sundhedsorganisationer har med en eksponentiel vækst af HIT-data at gøre, som især kommer fra radiologi og andre billeddannelsesundersøgelser. Dr. John Halamka, Chief Information Officer for Beth Israel Deaconess Medical Center (BIDMC) i Boston, Mass., har for nyligt i en artikel i Harvard Business Review udtalt, at hans mål ikke er at overvælde lægerne med store data, men at anvende disse data til at udstyre lægerne med den information, de har behov for, til at træffe de rigtige, kliniske beslutninger.

BIDMC anvendte er værktøj, der blev kaldt “screening sheets” til at understøtte kontinuerlig dataanalyse. Eksperter beslutter, hvilke dataelementer og hvilke ting, der er vigtige for almindelige sygdomme, og sørger for at integrere oplysninger i screening sheets-værktøjet. Efterhånden som patienterne modtager ny medicin, laboratorieresultater og diagnoser, underretter den elektroniske sygejournal (EHR) lægerne om, hvornår de skal gøre noget.

Udover at levere omfattende behandling skal sundhedsudbydere også finde nye måder at gøre det så nemt og praktisk som muligt for patienterne. Patienter, som besøger et hospital eller en anden primær behandlingsfacilitet, kan drage fordel af at kunne få efterbehandling på en facilitet tættere på deres hjem—men kun hvis data fra primære behandlingsfaciliteter kan blive delt med andre sundhedsudbydere. At administrere og dele patientdata mellem forskellige sundhedsudbydere er en udfordring, der skal tages op.

Fuld rapportering er et essentielt element ved kommunikationen af en patients tilstand, og det indebærer integrering af både strukturerede og ustrukturerede billeder. Forbedrede multimedie-rapporter med interaktive hyperlinks til kritiske billeder og automatisk inkludering af kvantitativ analyse i form af letforståelige sammenligningstabeller og diagrammer. Målsætningen med denne avancerede rapporteringsform er at præsentere billeddata på en måde, som er indsigtsfuld for lægerne—og resulterer i en mere omfattende evaluering af hver enkel patients tilstand. En undersøgelse på U.S. National Institutes of Health, publiceret i American Journal of Radiology bekræftede, at både onkologer og radiologer foretrak kvantitative, multimedie-rapporter, som omfattede målinger og hyperlink til billeder forsynet med kommentarer.

Udover ustrukturerede billeder beskæftiger faciliteterne sig også med en stor mængde ustrukturerede data. Natural language processing (NLP) kan anvendes til at detektere fejl, bestemme overensstemmelse, finde henstillinger til follow-up og vurdere usikkerhedsniveauet i radiologirapporter.

Dataene genereres ved en hurtig hastighed på sundhedsorganisationer over hele verden. Udfordringen er at udnytte disse informationer og organisere dem på måder, der gør aktiverbare data let tilgængelige for læger, som kan bruge dem til at forbedre patientbehandlingen.

Click here to read the English version of this Danish language blog.

#bigdata #healthIT

Lars Karlsson

Lars Karlsson er Carestreams administrerende direktør for det nordiske område

How to Build HIT Systems for Big Data to Revolutionize Healthcare Delivery

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.

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Diagnostic Reading #22: Five “Must Read” Articles about HIT and Diagnostic Imaging from the Past Week

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 – Auntminnie.com

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.

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Study: Comparison of Computer-Aided Diagnosis & Quantitative Image Analysis

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 several colleagues to compare and contrast the two imaging technologies and advance the work that has been accomplished by the Computer Aided Detection in Diagnostic Imaging Subcommittee (CADSC) of the American Association of Physicists in Medicine (AAPM).

CAD systems, which have been around for about 15 years, incorporate pattern recognition and data analysis capabilities. Computer-aided detection (CADe) systems are intended to mark regions of an image that might reveal specific abnormalities and alert the clinician to these regions during image interpretation. Computer-aided diagnosis (CADx) systems provide to the clinician an assessment of disease, disease type, severity, stage and progression.

QIA, on the other hand, is fairly new. Using computerized tools, it extracts quantitative imaging biomarkers from medical images. A quantitative imaging biomarker is an objectively measured characteristic derived from an in vivo image as an indicator of normal biological processes, pathogenic processes or a response to a therapeutic intervention. Quantitative imaging includes the development, standardization and optimization of anatomical, functional and molecular imaging acquisition protocols, data analyses, display methods and reporting structures.

Similarities and differences in QIA and CAD

The two technologies have some similarities. They both provide advanced image analysis techniques for clinicians. Both commonly use computer methods to extract features. And both emphasize appropriate image acquisition protocols, display methods, training and reporting. However, there are important differences that must be considered.

CAD essentially relies on the ability to make reproducible, quantitative measurements from medical images and combine them into a score or a marker to help clinicians provide a diagnosis.  The emphasis is on how the CAD outputs aid the clinicians in decision-making, diagnosis, treatment planning, treatment response monitoring or outcome prediction.

In QIA the emphasis is on the extraction of biomarkers and on establishing a specific imaging biomarker’s association with a disease condition. QIA can go beyond the anatomical view and into the molecular level. Examples of applications of the two technologies can be seen in the presentation delivered at RSNA.

Through our research, we determined that the differences and similarities between CAD and QIA have considerable implications for assessment, quality assurance and training. These consequences are also documented in the presentation.

CAD and QIA share many common components and both leverage a richness in medical images that has yet to be fully tapped. There is a natural synergy between the two and we expect that methodologies developed in one field are likely to be applicable in the other. Also, both techniques can benefit from standardized assessment, QA and user training procedures. We hope this study increases the coalescence of new ideas and standardized approaches in these closely related fields. #RSNA #imaging #radiology

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Zhimin Huo, Carestream

Zhimin Huo, PhD, is a researcher in Carestream Health’s Research & Innovation Laboratories

 

 

 

The following people also contributed to the study: Berkman Sahiner, PhD and Nicholas Petrick, PhD, US Food and Drug Administration; Samuel G. Armato III, PhD, University of Chicago; Heang-Ping Chan, PhD, University of Michigan; Ronald M. Summers, National Institutes of Health, Clinical Center