Streamlining Patient Data Management with Tech

I wanted to share an update on my ongoing exploration of the patient journey using AI technology-enabled solutions. Over the past few months, I've engaged in discussions with C-level suite. Here are some key insights from this journey: Feedback Highlights: End-to-End Solution Claims: Many companies claim to offer end-to-end solutions, but the term is often used loosely. Partial Patient Encounter Focus: Several excel in specific aspects of the patient encounter but fall short of addressing the entire journey. Ambient Listening Protocol: Companies, inspired by Dragon and others, are increasingly adopting ambient listening protocols. Some are developing their virtual scribing services, emphasizing data efficiencies. Proposed Focus Areas for AI Integration: When envisioning AI or algorithmic decision trees for the patient journey, I propose a structured approach and terminology of the solutions(s): “Pre-visit engagement”/ “Pre-Visit encounter”: -Release of information -HIPAA compliance forms -Insurance verification -Demographic verification -Adaptive history taking: Chief complaint/ Past Medical History/ Surgical Hx/ Social Hx/ Allergies/Medications/ -Medication reconciliation -Upfront billing costs: copay estimation and collection - Fax integration with interoperability -Lab integration with interoperability “Engagement”/ “Encounter”: ambient listening/ AI scribing= Point of contact Questions with intelligent integration. Ability to compose adaptive reasoning throughout the note and work with current note structure and generate ICD-10 codes based on Review of Systems and HPI and PMHx. “Post-engagement”/ “Post-encounter” Medications filled verification Medication adherence reminders Appointment reminders Remote Chronic Care Management (RCM/CCM): Vitals acquisitions and management Telemedicine/ Text messaging Transparent Billing Digital collections Let's foster a dialogue around optimizing AI solutions to enhance the entire patient journey. Your insights and experiences are invaluable in shaping the future of healthcare tech. Feel free to share your thoughts and let's continue this meaningful conversation! 🌐💡 #HealthTech #AIinHealthcare #PatientJourney #HealthcareInnovation

Your problem is to bridge the gap you don’t see It’s between now and the goal to reach. Have you ever felt overwhelmed by inefficiencies in your practice? I recently worked with a local chiropractor who faced this exact challenge We turned things around remarkably, and this is how we did it ↓ Dr. Williams was struggling with: → High patient wait times → Inefficient administrative processes The bottleneck was primarily in the patient intake process Our mission was to reduce frustration for both staff and patients. I introduced Dr. Williams to my network of professionals They integrated a digital intake system to streamline the process. This system allowed patients to fill out necessary forms online before their appointments. He also conducted training sessions for the staff to ensure a smooth transition and optimal use of the new system. The results were astounding. The new system reduced patient wait times by 50% The new system led to a significant increase in patient satisfaction. The streamlined operations led to a 20% rise in new patient referrals The happy patients shared their positive experiences with others. Dr. Williams was now focusing exclusively on his practice He was not the middleman anymore. Delegation helped him to: → Plan for his finances → Create competitive executive bonus plans → Review the benefits package for his staff The moral here is you can’t be everywhere. Asking for help is your superpower. This experience reinforced a crucial lesson: Embracing technology can significantly improve operational efficiency and patient experience. You can address inefficiencies head-on and leverage modern solutions Private clinicians can enhance their practice and better serve their patients. Have you implemented any technology solutions in your practice? Share your experiences in the comments below Let’s learn from each other and continue to improve patient care!

The Right Use of LLMs in Healthcare: Technical Insights Integrating large language models (LLMs) like MedPalm, Clmbr, Gemini, etc., marks a pivotal advancement. LLMs can process vast amounts of unstructured clinical data, enabling applications such as intelligent diagnostic support, automated medical coding, and advanced patient data analytics. LLMs and integrating technical frameworks -> Data Integration & Interoperability: Seamless integration with EHRs, HIE, LIS, RIS, and RPM devices using HL7 FHIR standards ensures real-time data availability. -> Compliance and Security: Utilizing encryption protocols and access controls to maintain HIPAA & HITECH compliance and safeguard PII, and PHI. -> Scalable Infrastructure: Deploying on scalable cloud platforms like GCP, AWS, or Azure to handle large datasets and computational needs. To make sure your organization is ready start from a small and valuable use case. By leveraging the right technologies, we can enhance diagnostic accuracy, reduce clinician workload, and improve patient outcomes. The key is a strategic approach that aligns advanced AI capabilities with stringent healthcare regulations. #ArihantHealthTech #healthcareit #llms #aiinhealthcare #hipaacompliance #datasecurity #healthtech #patientcare #ehrintegration #healthcareinnovation #artificialintelligence #digitalhealth #healthit #interoperability #healthcaretechnology #datascience

Electronic medical records are getting a makeover courtesy of GenAI. These emerging technologies promise to lend clinicians a helping hand by streamlining access to data, alleviating administrative burdens, and enhancing workflows. Consider GenAI’s ability to enable clinicians to explore their EMR through chat. Instead of reading reams of reports before every appointment, clinicians can ask the EMR simple questions to learn about their patients. Have they been in here before? What’s their family history? Do they have any allergies? The natural back-and-forth is like speaking with a helpful colleague. Then there are ambient listening technologies. These GenAI-enabled tools record, transcribe, and summarize patient interactions. After clinician review, the technology updates the patient’s medical record. And with that, “pajama time” is a thing of the past. Ambient listening technology shines because the human in the loop is the foremost expert. Who’s better positioned to vet the model’s output than the clinician in the room? It also helps that the technology slots seamlessly into decades-old workflows. This is just the beginning. As new GenAI applications come online, the EMR will evolve to support more informed, personal, and constructive patient interactions. That’s healthcare technology at its best.