Data quality is a big deal for healthcare organizations. It is not just about FDA compliance or avoiding fines. The quality of data has direct and indirect impacts on running the business, whether it's revenue cycle management, patient satisfaction, physician referral/referral-to-payment splits, fraud detection using claims data, etc. Healthcare organizations are increasingly investing in technology to improve the quality of data in their systems. In this article, we debunk some common myths and misconceptions about healthcare data quality and offer practical solutions for improving it.
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ROI’s Insights Blog is intended for IT and Operational Leaders within our client organizations across the country. Each article is written with this audience in mind, to shed light on process and technology topics related to ERP (Finance, Supply Management, HCM, and IT) and HIS Clinical & Revenue Cycle areas. Each entry will be categorized by function and technical area, to aid in search and navigation.
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Implementing a new EHR is a huge undertaking with significant financial impacts. Healthcare organizations are spending millions of dollars to purchase an EHR system that will streamline patient care, improve paper-based documentation processes, and facilitate quality improvement efforts. Hospitals have invested a significant amount of time into researching software companies, comparing prices, evaluating key features and functionality, negotiating costs with vendors and insurance companies, etc.
Artificial Intelligence is revolutionizing the way healthcare is done. There are already some Artificial Intelligence-based solutions in preventive medicine and patient monitoring. They can provide individuals with health information, and even suggest changes to lifestyle habits, all through a chatbot, SMS, or by using voice assistants like Amazon Alexa and Apple's Siri. The tech is already being used to help detect skin cancer and even treat Parkinson's disease.
Even hospitals are looking at AI to improve patient care delivery, such as Clinical Decision Support Program (CDS). It provides clinicians with recommendations for diagnosis and treatment options, which could potentially reduce the occurrence of medical mistakes. There are also Artificial Intelligence-based solutions for Electronic Medical Records (EMR) management, such as IBM's Watson Health.
Some experts believe that Artificial Intelligence will streamline clinical workflows, improve efficiency, and reduce costs within healthcare. The adoption of AI in the industry is already underway with many hospitals either actively using or planning to implement this technology.
Organizations today must contend with a new generation of applications that have become mainstream in healthcare. These applications are more complex than legacy systems, more dependent on internal and external resources, and expected to provide better patient care and outcomes while consuming less infrastructure, cost, and time. To succeed in meeting those expectations, organizations must make application management a priority by working closely with vendors and implementing best practices that enhance the value of their investments.
The three keys to achieving success include:
- Application Management Services Outsourcing
- Vendor Partnership
- Continuous Process Improvement
In this article, you will learn how to take action in these three areas, so that you are aligned with best practices and driving tangible results for your organization.
Time Well Spent: CHIME 2021 Spring Conference
Over 300 attendees spent time networking recently at the well-organized and highly anticipated CHIME Spring Conference. While the limitations of virtual conferences were still at play, CHIME still managed to do a great job getting folks together for an intimate reception, stellar entertainment, and a reminiscent time of what the group can accomplish when they share their wisdom with one another. Networking is one of the top strategies for CxO growth and CHIME plays an integral role in their collective success.