- Scenario One: A patient arrives at the emergency room alone, unconscious, undocumented and unable to provide any insights into their condition. Live telemetry from on-route EMS has shown a life-threatening pattern of presenting symptoms – but an inconsistent picture of their etiology.
Future: Using a genomic identification patch the patient is matched against their emergency medical record while a multidisciplinary team of diagnostic robots collaboratively triage the patient using genomics, imaging, heuristics and chip-based instant lab analysis – quickly moving through possible differential diagnoses based on correlation of evidence. Replacement tissues for failed organs are printed using the patient's stem cells and inserted with supercharged immune cells targeted to combat the infection while robots balance body chemistry, monitor vitals and ensure treatment efficacy.
- Scenario Two: A remote caregiver gets notice from patient telemetry and social media that show a new influenza outbreak in their immediate area. And all indications are that it’s especially aggressive and debilitating. They need to quickly diagnose, isolate the infected patient(s) / area, give assurance and provide detailed therapeutic information to those affected, as well as relay ongoing preventative measures to local residents. All this must be delivered in multiple native languages and dialects.
Future: Sensors capture primary and variant DNA from the virus, doing a live consultation with virologists at the CDC and WHO to authorize a specific new vaccine to be remotely assembled and mass-produced at a local secured facility. Affected patients are screened and then further diagnosed via telemedicine – given the rarity of the new virus, patients are scheduled for automated observation timed to the lifetime of the agent. Preventative measures and treatment instructions are streamed to all local media and personal devices, customized to language and just-in-time personal need for information. Emotional sensing dynamically modifies the message to ensure understanding, compliance and satisfaction of detail for both patients and caregivers. For general population treatment, a preventative vaccine is offered at schools and stores and those infected are instructed to go to specific clinics, or for hospital admission if personal complications are anticipated. Staff at clinics are dynamically balanced and pre-scheduled to meet the next week’s projected patient workload. Surrounding areas are notified of the details and provided a heat map showing “If you live here, here’s how many hours/days before anticipated infection.”
- Scenario Three: A patient who was adopted at birth participates in an unrelated genetic research trial and learns of a familial pre-disposition to a very rare debilitating disease. A missense mutation in a single chromosome is the genetic marker, but millions of people live with this same genetic modification with no adverse effects. The patient find that research for this disease is woefully underfunded, decides to crowd source further research and step up the search for a cure.
Future: Social media sites quickly locate hundreds of people ranging from the pre-disposed to the deeply afflicted. The information they’ve provided is anonymously combined with genetic profiles in a search for uniqueness. A medical researcher on the other side of the globe who has been focused on this malady for years finally has details that have been elusive and finds that affected patients have a combination of dietary insufficiency for a particular enzyme along with a local environment that oversupplies a trace nutrient. With slight dietary modifications - and oddly enough eating more avocados – the rare disease never materializes. Guacamole, anyone?