95% of Certified Health IT Developers Met ONC Cures Act Deadline

95% of Certified Health IT Developers Met ONC Cures Act Deadline

– More than 95 percent of certified health IT developers met the Cures Act Final Rule compliance deadline to provide customers with new technology, according to an ONC HealthITBuzz blog post. The Cures Act Final Rule mandated many changes to the Certification Program, including four updates set to have long-lasting interoperability impacts on patients, clinicians, and developers. ONC Certified Health IT developers must: Advance interoperability for patients and providers through the use of FHIR-based application programming interfaces (APIs);Enable patients, providers, and other stakeholders to have access to consistent data elements represented in at least version one of the United States Core…

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Adverse Survival Signal Leads G1 to Stop Pivotal Test in Colorectal Cancer

Adverse Survival Signal Leads G1 to Stop Pivotal Test in Colorectal Cancer

G1 Therapeutics’ approach to cancer does not kill tumors. Instead, the biotech’s drug, trilaciclib, protects bone marrow from the damaging effects of chemotherapy, reducing the duration and severity of the problems that can limit the use of this cancer treatment. Since trilaciclib’s initial approval insmall cell lung cancer, G1 has pursued more clinical trials that could support expanding the drug to other cancers. Colorectal cancer will no longer be one of them.
On Monday, G1 reported preliminary data showing that the placebo group outperformed the trilaciclib arm in helping patients live longer. G1 said it has decided to stop the colorectal cancer…

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High-Performance Computing Breaks the Genomics Bottleneck

High-Performance Computing Breaks the Genomics Bottleneck

Sequencing our 3.2 billion DNA base pairs is becoming increasingly crucial as genomic testing gains widespread acceptance. Advancements in genomics are improving the detection of mutations that can lead to illnesses, with the potential to revolutionize personalized medicine by enabling the development of more effective treatments for genetic disorders. High-performance computing is revolutionizing the field of genomics by accelerating the speed of analysis and processing of large-scale gene sequencing data sets. However, genomics is facing a massive Big Data problem. Scientists are struggling to process a growing volume of data as precision medicine turns to gene sequencing for individual patients….

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Mining EHR data to understand documentation burnout

Mining EHR data to understand documentation burnout

The Office of the National Coordinator for Health Information found that hospitals’ access and analysis of documentation data in electronic health records has increased over the past five years, but gaps in access and use remain for some hospitals.WHY IT MATTERSData from EHRs can track the time clinicians spend documenting and carrying out certain tasks. To measure physician burden on a national scale, ONC analyzed four waves of a nationally representative survey of U.S. non-federal acute care hospitals.
Published in January, in the special health IT issue of the American Journal of Managed Care, Trends in Electronic Health Record Capabilities for Tracking…

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2021 Tech Forum: Integrating SDOH Data Into Clinical Systems & Connecting with Human Services

2021 Tech Forum: Integrating SDOH Data Into Clinical Systems & Connecting with Human Services

September 10, 2021Providers are increasingly capturing SDOH data from patients as part of a clinical encounter and using this data to help inform clinical care delivery and to support social care referrals in the community. Existing and emerging health IT standards and codes sets specific to SDOH enable this data to be integrated into a care record and exchanged to support referrals aligned with an individuals’ social need(s). This session will outline technical workflows and use cases for integrating SDOH data into an EHR and as part of a shared care plan and will describe the applicable standards and codes sets…

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2022 Tech Forum: Developing Clinical Decision Support with SDOH Data for Improved Patient Outcomes

2022 Tech Forum: Developing Clinical Decision Support with SDOH Data for Improved Patient Outcomes

September 16, 2022This session will identify next steps to advance electronic clinical decision support (CDS) focused on social determinants of health (SDOH). We are interested in exploring the different stages of guideline development to determine an outcome of successful CDS that incorporates SDOH. JaWanna Henry, MPH, ONC (Moderator) Alison Kemp, MPH, ONC (Moderator) Rose Almonte, MITREMike Gillam, MD, FACEP, HealthLab Kristen Miller, DrPH, MSPH, MSL, CPPS, MedStar Health Research Institute Douglas E. Peterson, DMD, PhD, FDS RCSEd, FASCO, UConn Health Mona Saraiya, MD, MPH, Centers for Disease Control and Prevention Scott T. Tagawa, MD, MS, FACP, Weill Cornell Medicine Emily C….

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How Technology Is Improving Healthcare

How Technology Is Improving Healthcare

The world of healthcare is rapidly changing, and technology is playing an increasingly important role in the industry. From smart devices that can detect symptoms early on to remote patient monitoring, technology is allowing healthcare professionals to provide better care than ever before. Let’s take a look at some of how technology is revolutionizing healthcare today.
Healthcare and Smart Technology
Smart technology for healthcare has made it easier for doctors and patients to communicate and monitor health conditions more closely. Smartwatches and wristbands can now track vital signs like heart rate, oxygen levels, sleep patterns, and more. This information can be…

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2021 Annual Meeting: Data Tagging & Consent of Sensitive Health Data (Stakeholder Led Efforts)

2021 Annual Meeting: Data Tagging & Consent of Sensitive Health Data (Stakeholder Led Efforts)

March 29, 2021Data Tagging and consent are important for improving interoperability while protecting privacy and choice. Data tagging can support various use cases including for social determinants of health data (SDOH) use and interoperability. Multidisciplinary, stakeholder led activities are focused on advancing data tagging adoption and use, in part to help eliminate disparities and improve health equity, and to support the interoperability of sensitive health data including, in certain instances, for SDOH. This session will inform attendees of current ONC and external stakeholder activities for moving sensitive health data to support holistic person centered health. Presenters will share progress on different…

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Why NLP can only succeed in healthcare if it caters to caregivers

Why NLP can only succeed in healthcare if it caters to caregivers

Natural language processing, or NLP, is a branch of artificial intelligence that enables machine understanding of human language. In recent years, NLP has become part of consumer products and performs with a sometimes surprising degree of accuracy.Virtual assistants use NLP to understand spoken questions like, “What’s the weather like today?” They can contextualize the meaning of the question, and then use data from online sources to reply with a meaningful response.
Medical NLP has long been a topic of research and development, since it contains significant potential for uncovering meaningful insights from unstructured medical text. This presents huge opportunities for healthcare providers, clinical…

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4 technologies shaping the future of healthcare

4 technologies shaping the future of healthcare

Technological innovation is the key to improving human living standards.
This is especially true in healthcare, which is why research is constantly being done to discover ways that up-and-coming technology can be implemented.
In this article, we’ll explore four technologies that are shaping the future of healthcare.

Artificial intelligence

Machine learning is being increasingly applied across a wide variety of industries, including healthcare. With the ability to quickly and accurately extract patterns from data using algorithms, artificial intelligence is able to sift through information more efficiently than healthcare professionals.
Moreover, artificial intelligence programs can process symptoms and patient information to suggest possible diagnoses. A…

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