
Common Threads: The Most Discussed Topics from ViVE & HIMSS22
Now that we are a few weeks out from the excitement of this year’s ViVE and HIMSS22 conferences, we are reflecting on the areas of
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Now that we are a few weeks out from the excitement of this year’s ViVE and HIMSS22 conferences, we are reflecting on the areas of

With the passage of the HITECH Act in 2009, the era of the electronic patient record was ushered into healthcare at warp speed. What wasn’t

Provider productivity is the lynchpin of the healthcare system – here’s how manual clinical abstraction can help organizations better maintain it during an EHR migration.

With the business-altering events of 2020, many hospital systems are being stretched in ways previously unimaginable. Despite the new challenges, capital projects that have been

Virtual. Remote. Contact-less. Whatever term you have embraced since the pandemic began, the necessity of in-person encounters in healthcare is experiencing a drastic reduction. In

MDabstract was founded with one primary goal: helping physicians. We understood the burden that EHR adoption, data capture, and clinical documentation were placing on providers
Healthcare data management is evolving rapidly with the integration of advanced technologies such as artificial intelligence and machine learning. These innovations are streamlining processes, enhancing data accuracy, and enabling healthcare organizations to make data-driven decisions that improve patient outcomes.
For instance, AI algorithms can analyze vast amounts of patient data to identify trends and predict health risks, allowing for proactive interventions. Moreover, machine learning models are being used to automate routine tasks, reducing the administrative burden on healthcare providers and allowing them to focus more on patient care.
Implementing an Electronic Health Record (EHR) system can be a daunting task for healthcare organizations. However, following best practices can significantly improve the chances of a successful implementation. Key strategies include involving stakeholders early in the process, providing comprehensive training, and ensuring robust technical support.
For example, organizations that engage both clinical and administrative staff during the planning phase tend to have smoother transitions. Additionally, ongoing support and training help staff adapt to new systems, reducing frustration and enhancing overall efficiency.
Data security is a critical concern in healthcare, especially with the increasing prevalence of cyber threats. Healthcare organizations must prioritize data protection to safeguard sensitive patient information and maintain compliance with regulations like HIPAA.
Implementing robust security measures, such as encryption, regular audits, and employee training on data handling protocols, can significantly mitigate risks. Furthermore, developing an incident response plan ensures that organizations can quickly address any data breaches, minimizing potential harm to patients and the organization.
Telehealth has transformed how healthcare is delivered, especially in response to the COVID-19 pandemic. As telehealth continues to grow, effective data management becomes increasingly important to ensure seamless patient care and communication between providers.
Healthcare organizations must develop integrated systems that can manage data from both in-person and virtual visits. This includes ensuring that telehealth platforms are compatible with existing EHR systems, allowing for comprehensive patient records that enhance care continuity and improve health outcomes.