As the new year closes down in a few more days, provider organizations are trying their best to adhere to the CMS interoperability rule that will significantly revolutionize how healthcare data analytics work in the next few years. The interoperability rule is focused on improving both the healthcare data management system and workflows in medical organizations. The ultimate goal of this rule is to improve the patient’s clinical outcome through transparent collection and management of data. Healthcare data leaders depend on AI in healthcare to develop advanced tools for the same.
The providers and revenue cycle management teams are working towards meeting their goal of submitting state-wise MMA files to the CMS by March 2022. Both providers and other healthcare teams are looking forward to AI in healthcare to get the best out of the interoperability rule of the CMS. If you are looking for similar solutions to improve your clinic’s workflow through interoperability, you should know about the latest developments in the technology field. Read on to understand how leading healthcare systems handle the change and what you can do to move forward.
Scaling up EHR Integration
- Healthcare leaders cited EHR as one of the most crucial areas to work on in order to get the best out of the new rule.
- But the most significant part of it is the integration of the existing Electronic Health Records system with the advanced tools of AI in healthcare.
- These tools use methodologies like artificial intelligence and machine learning, among others, to make the transit of information more accessible.
- Experts believe that the smoother the flow of information between the providers, the more significant the improvement for clinician workflow.
- The various health tech start-ups have designed these new tools keeping in mind the adherence to the 21st Century Cures Act.
- Some of these tools use ambient technology to immediately convert the provider’s diagnosis into a medical note during the visit.
- According to leading surveys, these tools, using natural language processing can reduce the documentation time required by a provider by more than half.
- Surveys conducted by SCL Health show that specialists had better use of the tools among the entire pool of physicians than primary care physicians.
Improving the Patient-Provider Relationship
- Providers using these advanced EHR tools to manage their patient’s notes have saved up at least 45 minutes on every visit.
- These tools can convert the entire conversation of the providers and patients into a well-formulated medical note which the provider can refer back to at any point.
- The time saved during this process allows the healthcare provider to engage with the patient in person more rather than focusing on the technicalities of the procedure.
- Surveys also show that patients feel more comfortable opening up to their providers during a visit when there is no written note or medical device in their way.
- Some leading health systems like SCL Health also reported that the accuracy of medical documentation and billing procedures is greater when using AI in healthcare.
- Most of the tools preferred by the providers have the option of revisiting the recording and rechecking the transcription made by the tool.
- Nuance Communications’ Dragon Ambient eXperience provided similar services. The makers have put in special effort to make the data extraction a reliable process to help the providers manage their tight schedules better.
- The overall reduction in time consumption due to the elimination of manual handling of notes provides a much-needed boost to the clinician workflow.
Free Flow of Data
- The goal of the interoperability rule of the CMS is to establish a smooth, free flow of data among the various health systems without restricting the information in a single place.
- The pool of data required to transmit is massive in size. The data flow is highly important, but the IT leaders should also make sure that the tools used to transmit the data comply with the Fast Healthcare Interoperability Resources standard.
- With the greater use of interoperability in the healthcare industry, the influx of data will continue to rise.
- The care managers looking after the data packets to be shared and trends to be followed can use AI in healthcare to improve their performance.
- Reports show that it is not feasible for the data managers to go through a great deal of data at a time and analyze them daily to predict trends in healthcare.
- However, with the help of AI in healthcare, sifting through data takes much lesser time, and they also predict trends after they are done with the analysis.
- With a stable EHR integration, the required packets of data will be able to travel between providers without any further delay.
What are patients expecting from interoperability?
- Patients do not want to be bound with red tape when looking for information related to their health conditions and treatment plans.
- They are looking forward to advanced tools to make their data transition easier so that they can access their files from anywhere at any time.
- When explaining the situation, Donna Houlne, VP at Infor, says how important it is for healthcare organizations to get the patient’s details within a few minutes of admission post an accident.
- The rule directly affects how swiftly and efficiently the patients are going to get treated in an unknown health facility with the help of AI tools transmitting packets of data.
- Patients are optimistic about how this new rule will help them achieve a better clinical outcome in any healthcare management condition.
- They are also looking forward to the standard of data safety that the healthcare systems will follow to make sure that their information is secured.
We hope this article helped you understand how you can use AI in healthcare to improve the implementation of interoperability in your medical organization. For any queries, please write to us in the comment section below. Subscribe to our blog for more articles on healthcare, billing, technology, and management. Follow us on LinkedIn, Twitter, Instagram, and Facebook for regular updates.