Navigating a global health crisis with an already strained staffing model left many providers looking for a different career. Automating some aspects of the industry has the potential to drastically improve the situation. https://t.co/fYnXN4gC0V #burnout#EHR
Congress is looking at how well the telehealth flexibilities are working, and if more protection is needed against fraud. They are also looking at the cost impact of telehealth to the Medicare program for the long-term. https://t.co/A5iEvXN3bW #telehealth#EHR
Population health and precision medicine are often set against one another because of the inherent differences in their approaches to health management. However, the COVID-19 pandemic has highlighted some possible collaborations. https://t.co/X6axyC3vLA #covid19#populationhealth
Artificial intelligence technology adoption is happening in the medical device industry, and it’s not just driving exciting new features and high-end functionalities into the devices themselves. https://t.co/MQdmY5RLiE #ExplainableAI#EmergingTech
Usability issues have always been a part of the electronic health record discussion. Common EHR usability issues can put crucial patient safety issues, such as drug dosing, at risk. https://t.co/tO8Y1mYRHv #EHR#interoperability
As health systems and hospitals are under unprecedented stress from the COVID-19 pandemic, their IT departments also are facing critical skills and staffing shortages as they battle unrelenting cyberattacks. https://t.co/vb7rk1TE5k #HIT#cybersecurity#covid19
Unlike the previous version, ICD-11 was released in February to minimal fanfare. This version contains over 17,000 unique codes, more than 120,000 codable terms and is now entirely digital. https://t.co/gwZF8JfZoZ #ICD11#medicalcoding
Researchers have developed an automated method using machine learning to predict the effectiveness of viral diagnostic tests and designs optimized ones. https://t.co/KWvnDrcUeT #MachineLearning#PredictiveAnalytics
Predictive analytics is currently used across the healthcare industry and data analytics use cases continue to multiply in patient care. https://t.co/utffMwUbs6 #PredictiveAnalytics
The days of assuming that security is only the job of the IT department are gone. Organizations need to implement a robust cybersecurity program that begins with setting the tone from the top and adopting a culture of security. https://t.co/OcLcBKqZL0 #cybersecurity#ransomware
Information transparency and access to medical information is valued by both patients. The concerns from the providers is how well the patient can interpret and often, handle the information they receive. https://t.co/8JUZM0PJ34 #PatientAccess#interoperability
Clinicians are frustrated with electronic health records. Creating an artificial intelligence model that uses every past medical decision to help inform all future medical decisions is complicated. Is it useful? https://t.co/X926EYpsfD #EHR#search#ExplainableAI
Digital health has seen an insurgence of cash and interest amid the COVID-19 pandemic. There is much discussion about how to take health care into the digital era. https://t.co/TwXQzGTv3k #ExplainableAI#covid19#digital
An artificial intelligence model has shown potential for pancreatic cancer prediction, using electronic medical records to identify individuals with a greater risk for developing the disease. https://t.co/S1EmFAGgBJ #ExplainableAI#MachineLearning#EMR
The rapid growth and sharing of medical information has the potential to improve patient care, especially in areas where access to specialists is limited. However, it can also lead to medical errors and physician burnout. https://t.co/nuRa1Ozzn4 #burnout#medicalerrors
Patient data must be available for sharing to effectively treat patients, develop more effective medicines and technological tools. However, there are challenges to sharing without violating privacy and basic data rights. https://t.co/EzWu3aaZL8 #interoperability#EHR
From chronic diseases and cancer to radiology and risk assessment, there are endless opportunities to leverage technology to deploy more precise, efficient, and impactful interventions at exactly the right moment in a patient’s care. https://t.co/0jGvEnCIXh #ExplainableAI#EHR
As the country moves forward toward value-based care, artificial intelligence and machine learning, patient outcomes are high priority. https://t.co/1K9mM8LvhX #ExplainableAI#covid19#HIT
Even if you aren't in healthcare, the effects of COVID-19 is making an impact on every industry. The pandemic is to blame, but it is not the only reason and it existed long before that. The pandemic has only exacerbated the trend. https://t.co/z4XmtuGxtL #burnout#covid19
Fraud, waste and abuse is especially despicable because of the potential neglect for terminally ill patients in addition to the theft perpetrated upon the taxpayer by these schemes. https://t.co/yq81LCYdZY #fraud