The lack of EHR usability is a huge concern for the healthcare industry. According to a study conducted by Mayo Clinic researchers, modern electronic health records (EHR) are less user-friendly than Microsoft Excel, Microsoft Excel, and Google. Using the System Usability Scale (SUS), Electronic Health Records were marked with an unsettling “F” and a SUS score of 45 while Excel received a SUS score of 57 and Microsoft Word received a SUS score of 76. Google search came in on top with an “A” and a
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The Many Faces of AI in Clinical Trials
AI is being applied in several aspects for the clinical trial process today. From analyzing real-world data and scientific information to providing improved patient stratification and predictive outcomes, and assisting with different aspects of clinical trial operations. Here are some of the technologies using AI and machine learning in the clinical trial space today, outlining how they fit within the clinical trial ecosystem and discuss the impact on future clinical trial designs.
The
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Leveraging AI and Machine Learning to Advance Interoperability in Healthcare
(Left- Wilson To, Head of Worldwide Healthcare BD, Amazon Web Services (AWS) & Patrick Combes, Worldwide Technical Leader - Healthcare and Life Sciences at Amazon Web Services (AWS)- Right)Navigating the healthcare system is often a complex journey involving multiple physicians from hospitals, clinics, and general practices. At each junction, healthcare providers collect data that serve as pieces in a patient’s medical puzzle. When all of that data can be shared at each point, the puzzle is
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How Machine Learning Can Support Early Intervention for High-Risk Patients
U.S. healthcare costs have skyrocketed over the last decade and show no sign of slowing down. We currently spend $3.5 trillion a year on healthcare—about $11,000 per person, more than twice the average per-person spending in other developed countries. And healthcare costs are expected to nearly double to $6 trillion by 2027, further adding to the financial burden on patients, plans, and providers.
Healthcare organizations are exploring a wide range of options to help contain costs while ensuring
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The Evolution of EHR Workflows: From Counterintuitive to Intuitive Tools for Care
I recall a patient who was drinking heavily, who I was unable to meaningfully convince to reduce his alcohol consumption. He felt that his drinking was no different than his work colleagues and that he did not need to make any changes. When his labs returned, not surprisingly, his GGT and AST were elevated. I turned the screen and showed him the results as well as the upward trending of the result’s graph. He didn’t say much but was clearly taking it all in. When we met next, he
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Analysis: November 2019 Health IT M&A Activity, Public Company Performance
– Healthcare Growth Partners' (HGP) summary of Health IT/digital health mergers & acquisition (M&A) activity, and public company performance during the month of November 2019We did a doubletake when we noticed all of the HGP healthcare indices climbed approximately 10% during the month of November. Year-to-date, the S&P 500 is up over 25% and the HGP healthcare indices are all hovering in that range. In the two month period since September, when talk of universal healthcare reached
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5 Ways Artificial Intelligence Is Transforming Digital Pathology
- As the digital pathology market grows, facilities that rely on digital pathology will start using artificial intelligence (AI) to assist. AI could help health professionals cope with the gigantic quantities of data - Discover why healthcare facilities increasingly realize that AI could help achieve significant impacts with digital pathology.Thanks to approvals from the Food and Drug Administration (FDA) for applications such as primary disease diagnosis, digital pathology is rapidly becoming
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Analysis: Why EMRs Will Not Replace Enterprise Imaging IT
The growing influence and uptake of electronic medical records (EMRs) in healthcare have driven debate over the future role of specialist clinical and diagnostics software. With interoperability in the health sector still a major challenge, many health providers are looking to simplify their IT systems, consolidating to fewer software platforms and few vendor partners. With recent extensive and long-term investment in EMR systems, some healthcare providers considering the EMR as a potential
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Why SDoH Data Is Key For Developing Population Health Strategies
The healthcare industry has come a long way in its appreciation of non-clinical factors impacting a patient’s overall well-being, such as social determinants of health (SDoH).
However, the industry has made less progress when it comes to gathering information on individual patients’ social determinants, analyzing the details and – most importantly – translating the findings into actionable information that healthcare organizations (HCOs) can use to improve population health management.
One
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4 Steps Healthcare Organizations Need to Take to Automate Their Data
According to IDC, all the data that’s being created and captured in healthcare is projected to grow by 36 percent (CAGR)—more than any other industry.
While managing growing volumes of data is a common challenge for many organizations across all sectors, healthcare is uniquely set apart by the sheer number of new data sources that’s being made available—with new sources being added all the time. This is driven in large part by advancements in telemedicine, personalized or precision medicine, as
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