Penn Medicine uses Chatbot for Cancer Care
Artificial Intelligence technology and machine learning have revolutionized the healthcare industry. Robust AI solutions have enabled healthcare providers to support patient diagnosis and help enhance patient care and health outcome levels. This is also true for the field of oncology. Cancer care delivery has been improving with the development of new drugs and therapeutics. Now care can be delivered beyond [...]
Patient-Reported Outcome EHR Integration
Patient-reported outcome or (PRO) EMR integration refers to the integration of patient-reported outcome measures within electronic health record systems. PROs measure a patient's health status, symptoms, and quality of life that are reported directly by the patient. Patient-reported outcomes assess a patient's health status, symptoms, and quality of life based on information provided by the patient. They offer useful information [...]
Role of Patient Portals in EHRs
Electronic Health Records (EHRs) have established themselves as a fundamental component of contemporary healthcare procedures as the healthcare sector continues to embrace digital change. Patient portals in EHR systems are essential for empowering people and improving communication between patients and healthcare professionals. In this blog post, we examine the function of patient portals in EHRs, outlining the advantages they provide [...]
Generative AI Tools with Epic EHR Software
Microsoft and Epic EMR Software have collaborated to unlock the power of generative Artificial Intelligence (AI) tools. Generative AI can enhance Electronic Health Records software's precision and overall technology. This can greatly improve daily workflows and enable healthcare providers to focus on patient care. What is generative AI? Generative AI is a type of artificial intelligence (AI) system that is [...]
AI Enhancing Diagnostics With EHR Software
The integration of Artificial Intelligence (AI) is enhancing diagnostics with EHR software. AI-powered algorithms and machine learning models assist healthcare providers in making more accurate and timely diagnoses. We explore this impact on healthcare in our blog. Data Analysis and Pattern Recognition Enhancing Diagnostic With EHR Software One of the key advantages of AI in EMR software is its ability [...]
Challenges and Solutions for EHR Adoption and Interoperability
Electronic Health Records (EHRs) have revolutionized the healthcare industry by enabling the digitization and integration of patient health information. However, widespread adoption of EHR systems and maintaining smooth interoperability among various healthcare providers remain significant obstacles. In this article, we will look at the problems that EHR adoption and interoperability confront, as well as various strategies to solve them. First [...]
Benefits of Healthcare Interoperability
Interoperability is the key fundamental to supporting seamless data exchange between software systems. It also presents data in a way that can be easily comprehended by the stakeholders in the healthcare sector. Health information exchange in the Electronic Medical Records (EMR) Software system involves the transfer of all health-related data including; patient medical history, medication lists, medical records, and clinical [...]
