Publisure attends Digital Health Rewired 2024!

Publisure’s Managing Director, Andy Percival, participated in a speaking session on patient document communications and engagement at Digital Health Rewired 2024. During the session, Andy highlighted the importance of effective communication in healthcare, and showcased real-world examples of how patient engagement strategies can enhance patient satisfaction and promote collaborative relationships throughout the patient care journey.

3 key trends in healthcare 

Patient platforms 

Integrated patient platforms provide comprehensive solutions that simplify and improve the patient experience by streamlining data processes. These platforms consolidate medical records, appointment scheduling, communication tools, and educational resources into a single, user-friendly interface, empowering patients to take charge of their health course. This marks the beginning of the digital transformation journey that many trusts are embarking on to replace manual databases. 

Publisure and Kodak Alaris have developed an Intelligent Communications Platform that intelligently combines outbound multichannel communications with inbound document scanning. Healthcare databases are automatically populated with patient information for more secure, collaborative and streamlined management. 

Integration 

Integration is significantly transforming healthcare delivery by making processes more efficient and improving patient outcomes. By integrating electronic health records (EHR), medical imaging systems, and other healthcare technologies, healthcare providers can access complete patient data in real-time, which helps them make informed decisions and deliver personalised care. 

Publisure has always promoted our integration features to ensure that you’re comfortable with every step of your digital upgrade. 

• • We integrate with your legacy systems, 
  • We integrate with your current communication channels, 
  • We integrate into your digital transformation strategy to help you get the best value. 

Generative AI 

In a typical onboarding process, organisations often use manual or rule-based classification routines to categorise and process incoming documents, which can be inefficient and error-prone, especially with a large volume of diverse documents. 

By leveraging AI technology, specifically machine learning and natural language processing (NLP), the onboarding process can be automated and streamlined significantly. Here’s how: 

Intelligent document classification: 

• • AI-powered algorithms can be trained with labelled datasets containing diverse document types, such as application forms, identification documents, contracts, and medical records. These algorithms learn to identify patterns, keywords, and contextual information within the documents, which automatically classifies incoming documents into predefined categories. 
  • With AI, the need for manual template classification is eliminated, reducing the risk of human error and saving valuable time. 

Data extraction and validation: 

• After documents are sorted into specific categories, AI technologies like OCR and NLP can extract important data from the documents. AI algorithms can intelligently locate and extract key information such as names, addresses, dates, and identification numbers from both structured and unstructured documents. 
• The extracted data can be automatically validated against predefined rules or cross-referenced with external databases to ensure accuracy and completeness. 

Workflow automation: 

• Artificial Intelligence can assist in automating various tasks during the onboarding process. By collecting and analysing data by predefined business rules, AI algorithms can identify the subsequent steps in the onboarding process. These steps may include directing documents to relevant departments or initiating specific actions. 
• This automation eliminates the need for manual intervention, ensuring a consistent and efficient workflow. 
  

Continuous learning and improvement: 

• AI algorithms can improve their accuracy and efficiency over time by continuously learning, adapting, and refining their classification and extraction capabilities based on feedback and new data. 
• This ensures that the onboarding process stays current with evolving document formats and requirements. 

By implementing AI technology in the onboarding process, organisations can achieve significant benefits, such as: 

• Reduced manual effort and processing time 
• Improved accuracy and consistency in document classification and data extraction 
• Enhanced compliance with regulatory requirements 
• Increased scalability to handle larger volumes of documents 
• Faster turnaround times for onboarding new clients or employees 
• Better data quality and insights for downstream processes 

Spotlight session!