Paying for a private laparoscopy that confirms severe endometriosis does not guarantee a smoother journey in the public system. The guest struggled to get her public (NHS) team to acknowledge the results due to a lack of communication and data sharing between sectors.

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The majority of what payers identify as 'care gaps' are actually 'data gaps'—a lack of information leads to an assumption of missing care. By solving the data acquisition problem first, organizations can distinguish between the two. This dramatically shrinks the problem set, focusing expensive outreach efforts only on patients with true care needs.

Despite the depth of personal genomic testing, primary care physicians cannot integrate these consumer-generated results into official medical records. This reveals a significant gap between the potential of consumer health tech and its practical application in clinical settings.

Patients are frequently told ultrasounds will detect endometriosis, but this is often false. The guest's normal ultrasound was followed by a laparoscopy revealing stage 4 disease, highlighting a critical diagnostic gap that forces patients to pay for definitive procedures.

The guest, a senior physiotherapist, faced extreme dismissal from doctors. One questioned her confirmed Stage 4 diagnosis, while another accused her of self-diagnosing due to her profession, refusing a gynecology referral and insisting on more physiotherapy.

Despite a confirmed diagnosis and her expertise as a physiotherapist, the guest was forced to undergo nine months of painful Zolidex injections and unnecessary physiotherapy consultations before she could get the hysterectomy she was fighting for.

Patients with complex illnesses often become "medical nomads," shuffling between specialists who only view problems through their narrow training lens. Effective treatment requires a coordinated, team-based approach, which is largely absent in private practice, leaving patients to manage their own care.

To be effective, the patient's lived experience cannot remain a "soft narrative." It must be converted into hard data points—like reduced healthcare utilization for payers or influence on treatment pathways for clinicians—to become a decision-making tool they cannot ignore.

The guest, a senior physiotherapist, was repeatedly told her pain was spinal. Her endometriosis was wrapping around her sciatic and femoral nerves, causing symptoms that even orthopedic specialists misidentified, delaying her hysterectomy by two years.

The CEO of Datycs applies lessons from standardizing wireless networks in the 90s to today's healthcare challenges. He compares siloed EHRs to old proprietary cell towers, highlighting how open standards like FHIR can solve a problem that the telecom industry conquered decades ago.

The core issue preventing a patient-centric system is not a lack of technological capability but a fundamental misalignment of incentives and a deep-seated lack of trust between payers and providers. Until the data exists to change incentives, technological solutions will have limited impact.

Private Endometriosis Diagnoses Often Fail to Expedite Public Healthcare Due to Poor Data Sharing | RiffOn