Radical EHR Solution That Humanizes Patient-Provider Interactions

In addition to their already demanding roles, healthcare providers face the exhaustive task of manually sifting through patient data. This task is tiring, takes a lot of time, and often leads to mistakes. Besides, given the widespread sense of overwhelm among healthcare workers, it’s evident that a more efficient solution is required.

 

There’s a pressing need for an innovation that can streamline this process, ensuring accuracy while freeing up providers to focus on what truly matters: patient care.

This intensive administrative burden rushes patient interactions and reduces the quality of care. This causes two primary problems:

• Time-consuming conversation review: The ongoing need for data entry reduces providers’ enthusiasm and increases the likelihood of overlooking important patient details.
• Inconsistent documentation: The lack of seamless integration between telehealth systems and Electronic Health Records leads to incomplete and disjointed documentation.

Healthcare providers often spend too much time on tasks like data entry during consultations. We aimed to cut down this time and improve the quality of patient interactions. So, our goal became finding new ways to quickly and accurately capture key details from their conversations, letting providers focus more on their patients.

In the backdrop of an evolving healthcare landscape, providers grapple with the overwhelming task of manually parsing through patients’ records. The excessive time spent on data entry during consultations detracts from quality patient interactions. Our strategy was twofold:

• Streamline the capture of key details from telehealth chats efficiently and accurately.
• Enable providers to shift their primary focus to patient care by reducing administrative burdens.

Mapping user journeys to discover challenges and motivations
We started by studying the current workflows and researching the compatibility of the solution tool with the providers’ existing setup. This revealed the following insights:

• Providers spend too much time on data entry, leading to errors in patient records.
• Notable inaccuracies in documentation processes highlighted the current workflow’s inefficiencies.
• Technical challenges existed for integrating AI solutions into the current setup.

Our primary objective in the design process was not just to automate tasks but to enable providers to engage more attentively in patient interactions. By improving the workflow pace, we aspired to streamline operations. Additionally, by significantly reducing data entry durations and refining administrative tasks, we aimed for cost-effective operations.

We initiated a co-creation phase, utilizing whiteboard sessions to conceptualize the design of the AI-generated conversation summary tool. Our focus was on creating a tool that would fit seamlessly into the existing workflows of healthcare professionals, making their tasks easier and more efficient.

After evaluating multiple concepts, we refined and selected the most effective design approach that aligned with the providers’ needs:

• Confidence Indicators: Empower providers with AI-assessed content accuracy.
• Interactive UX: Quick-edit hover-triggered action buttons.
• Edit Modes: Clear differentiation between AI-generated and manually-edited content.
• Call Summaries: Organized transcripts by time and participant for clarity.