OrbDoc’s Post

We envision a future where proactive prevention and patient engagement takes center stage in healthcare delivery. Patients will be empowered with knowledge to make informed decisions about their health by voices they can better relate to and trust.

Artificial intelligence is reshaping healthcare, offering tools to improve patient outcomes and streamline nursing workflows. Nurse managers play a crucial role in responsibly integrating AI technologies, balancing innovation with ethical considerations and the irreplaceable human element of care.

Physicians: What if your documentation wrote itself? Imagine seeing 5 more patients daily. Leaving work on time. Focusing on care, not paperwork. Some are already doing this. How? They're testing an unconventional approach. https://lnkd.in/eh5qd58d Curious? OrbVoice is now on iOS #HealthcareInnovation #AIinMedicine #PhysicianWellbeing

Human scribes have transformed medical documentation since their widespread adoption in the 2010s. Studies show that physicians using scribes increase their productivity by 20-30%, seeing an average of 4-5 more patients per day. Doctors save 2-3 hours daily on paperwork, allowing more time for patient care. This shift has led to a 20% improvement in patient satisfaction scores and a 90% reduction in billing delinquencies. AI scribes are now emerging as the next step in this evolution. These systems can work 24/7, potentially tripling the coverage of human scribes. They maintain 99% consistency in documentation quality, compared to the 85-90% achieved by well-trained human scribes. Advanced AI can process medical conversations in real-time, with accuracy rates approaching 95% for common medical terminologies. While initial development costs may reach millions, projections suggest AI scribes could offer 30-40% cost savings over human scribes within 5 years of implementation. However, challenges remain. The technology is still being refined, with current error rates around 5-10% for complex medical scenarios. Healthcare organizations must ensure these systems comply with HIPAA and other regulations, a process that can take 6-12 months. Surveys indicate that about 60% of healthcare providers are open to AI scribe adoption, while 40% express reservations. Looking ahead, experts predict that by 2030, 70% of healthcare facilities will use a hybrid model, combining human expertise with AI efficiency. This approach aims to optimize documentation processes, potentially reducing overall administrative costs by 25% and improving patient care quality metrics by 15-20%.

We are thrilled to have presented OrbDoc’s pitch at the gBETA Prosper Showcase & Healthtech Conference. It was an honor to be part of this ever-growing community of startups and the healthcare network. Huge thanks to Jack Marck for his mentorship during the Prosper Accelerator program and to Amanda Williams, Nate Domenighini, and the entire Generator team for making this event special. Congrats to all who pitched, and thanks to everyone for their support! #healthtech #startupcommunity #OrbDoc #generator #gBetaProsper #healthcare #MedicalTechnology

As a healthcare professional, which one of these are on your mind: - Concerns about AI hallucinations/errors and potential negative impacts, especially in a medical context - Trade-offs between AI assistance potentially improving care by saving doctors time, vs risks of over-reliance on AI - Questions around AI vs human culpability for mistakes - Privacy concerns with sending sensitive medical data to AI/tech companies Speculation that AI may eventually replace certain medical roles, but debate on feasibility - Some optimism that AI assistance, even if not perfect, could be an improvement over current issues like rushed/overworked doctors - Desire from patients to have more access to their full health data via AI platforms

Hospital readmissions are costly and harmful. Clinical Risk Groups (CRGs) and data analysis offer a promising solution. CRGs categorize patients based on overall health, helping providers make informed care decisions. Key benefits include: - Targeted follow-ups: One study showed 32% fewer readmissions for high-risk patients. - Optimal timing: Determining ideal check-in times for each patient. - Efficient resource use: Smarter decisions with limited resources. - Personalized care: Tailored plans based on comprehensive health data. This approach challenges one-size-fits-all care, potentially transforming post-discharge practices and extending to other healthcare areas. It's not just about costs; it improves patient health and quality of life. As healthcare evolves, how else could data enhance patient care? This study reminds us that better healthcare often lies in using existing information creatively. Thoughts? Have you seen similar strategies at work? https://lnkd.in/eyqaa7Tw #HealthcareInnovation #DataDrivenCare #ReducingReadmissions #PatientOutcomes #HealthcareAnalytics #PersonalizedMedicine #ClinicalRiskGroups

Happy to have Ridoine Idrissou onboard, great young talent who picked up OrbDoc’s tech stack quickly.

Doctors in the emergency room have a lot to do in a short time. They need to quickly understand why a patient is there, what's wrong, and how to help them. Writing down all the important information can be hard when things are moving fast. Some doctors are starting to use new computer programs that listen to them talk and write down what they say. This could help them keep track of a patient's main problem, their medical history, the doctor's exam, and the plan for treatment. By using these tools, doctors might be able to spend more time focusing on taking care of patients and less time writing notes. As technology gets better, we may see big changes in how emergency room doctors work and keep records. #ERnotes #DoctorNotes #PatientCare