Building Connected Health Infrastructure: What Product Managers Need to Know

The Reality Check: Our Healthcare Tech is Failing Its People

Across hospitals and clinics, healthcare workers are increasingly wrestling with digital tools that seem more like roadblocks than support systems. Imagine a nurse desperately trying to track down lab results that exist somewhere but are locked in a different software platform. A doctor must pick up the. phone to confirm whether a patient’s prescription was received at the pharmacy. Meanwhile, in a tucked-away office, billing staff retype charges into another system because nothing syncs up.

This is not the future; it is the daily reality for clinicians and staff around the world.

Research confirms the consequences. When systems do not communicate, patient care is compromised and administrative costs rise (Wang et al., 2018). What the studies often miss, though, is the emotional wear-and-tear on the people who power our healthcare system. People who entered this profession to care for others, not to battle with software interfaces.

Let us take the example of a hospital using an older Hospital Information Systems setup. (Winter et al., 2023)On the surface, it checks the boxes: patient registration, scheduling, billing, and pharmacy management. Yet, under the hood, it is a network of isolated islands. The appointment system does not update medical records. Lab orders require a phone call. Prescription notifications get sent, but no one tracks whether the medications were dispensed. This is not just inefficient, it is risky.

That is why connected health infrastructure is not a luxury anymore. It is an operational and moral imperative.

Where It All Breaks Down

Scheduling That Feels Like Spinning Plates

Go to the front desk at almost any busy clinic. Chances are, you will find a staff member navigating multiple screens, toggling between unrelated systems to find the right time slot. Double-bookings become common. Patients grow frustrated. Staff spend their time apologising rather than assisting.

Lab Orders That Seem to Vanish

Despite decades of innovation, many physicians still rely on printed or faxed lab orders. Handwritten notes. Paper slips. Lost faxes. Meanwhile, patients wait for results that should be delivered within hours. It is not just inefficient but dangerous.

Billing That is a Labyrinth

Medical billing is notoriously complex. Disconnected systems make it unbearable. Most billing teams operate like human middleware, re-entering data, correcting mismatches, and transferring files manually. Errors are inevitable. Rejected claims mean delays in care. It is a lose-lose.

The Glaring Issue: Disconnected Workflows

Even where hospitals have “all the right systems,” many do not talk to each other. It is as if every department is operating in a silo. A patient might check in via one system, see a doctor using another EMR, get blood drawn using a third platform, and receive medication from a pharmacy that cannot even verify what has been prescribed. Every gap in the chain becomes a point of failure.

Medical Coding Should Not Be Guesswork

Standardised diagnostic coding (like ICD-10) is not optional; it is essential for reporting, billing, and public health tracking. Yet many systems do not support integrated lookup tools. Clinicians are left flipping through printouts or guessing codes. The cost? Inaccurate data, rejected claims, and missed trends (Gaebel et al., 2020).

The Service Order Void

In many hospitals, even basic service orders for lab or imaging do not trigger downstream actions. A doctor may input the request, but unless someone chases it manually, nothing happens. There is no alert to the lab. No billing record. No closed-loop communication. Teams improvise—tracking spreadsheets, messages, and phone calls, but workarounds are not workflows.

Solving this is not about adding more software; it is about thinking systemically. Connected health infrastructure views departments not as standalone functions, but as parts of a coordinated ecosystem. Think about your smartphone. Apps talk to each other. Your photos sync with your contacts. Your calendar pulls in emails. It is seamless. Healthcare can, and must, work the same way

Foundations of Connected Systems

  1. Speak the Same Language

Start with shared medical vocabularies:

  • ICD-10/ICD-11: Diagnoses
  • LOINC (McDonald et al., 2003): Lab tests
  • RxNorm (Hanna et al., 2013): Medications

When everyone labels information the same way, systems can share it without translation errors.

  1. Use Modern Interoperability Standards

Healthcare has two main options:

  • HL7: A long-standing protocol still widely used
  • FHIR: A newer, API-driven standard that supports modern apps and cloud platforms

These standards act like interpreters, ensuring systems speak and understand the same data.

  1. Ensure Real-Time Departmental Integration

Lab orders, prescriptions, and billing triggers should flow automatically. No faxes. No phone calls. Just clean, machine-to-machine communication.

  1. Centralise Financial Systems

Service delivery should immediately translate to billing events. The system should know what was done, calculate charges, apply insurance rules, and send out claims without manual re-entry.

A Practical Roadmap for Product Managers

Months 1–2: Understand the Ground Truth

Do not start with code. Start with people. Shadow patients and staff. Identify every moment where someone manually bridges systems.

Key questions:

  • Do appointments sync with patient records?
  • Are emergency registrations handled differently?
  • Do test orders alert departments in real time?
  • Do prescriptions notify pharmacies automatically?
  • Are bills auto-generated upon service delivery?

Months 3–6: Solve the Pain Points First

Prioritise the issues that cause the most chaos.

  • Fix Scheduling: Enable online booking and link it to the master EMR.
  • Digitise Lab Ordering: Let doctors send electronic orders. Ensure results loop back automatically.
  • Improve Pharmacy Flow: Ensure prescriptions trigger inventory checks and notifications instantly.

Months 6–12: Standardise and Automate

  • Add Coding Tools: Integrate ICD lookups into EMRs. Make them easy to use, not an afterthought.
  • Automate Billing: Tie actions to revenue. Service provided = service billed.
  • Close the Order Loop: Build workflows from lab request to report delivery and visit closure.
  • Enable Seamless Referrals: Let one doctor pass along history, results, and treatment plans without manual steps.

Year 2+: Modernise and Optimise

  • Adopt FHIR APIs: Future-proof your platform.
  • Leverage Data Analytics: Once systems talk, you can track and optimise performance metrics: turnaround times, appointment efficiency, and billing accuracy.

You will know it is Working When…

  • Staff stop complaining about tech.
  • Patients stop waiting as long.
  • Billing errors drop.
  • Clinicians spend time with patients, not with paperwork.

Common Mistakes to Avoid

  • Trying to Do Everything at Once: Start small. Win fast. Scale wisely.
  • Ignoring Standards: They are not optional but foundational.
  • Overlooking Training: People need to know why things are changing.
  • Building Half-Integrations: If an order cannot be fulfilled electronically, it is not integrated.
  • Skipping Compliance: ICD codes and clinical standards are not nice-to-haves but regulatory necessities.

The Positive Psychology Perspective: Reconnecting People with Purpose

Clinicians did not choose this profession to click buttons, chase forms, or guess codes. They chose it to care, to comfort, to heal. However, broken systems erode that mission. When workflows are fragmented and software fights back, it eats into their time, energy, and joy.

Positive psychology, particularly the PERMA model (Seligman, 2011)provides a framework for restoring that sense of purpose:

  • Positive Emotion: Systems that work reduce stress and boost satisfaction.
  • Engagement: Frictionless workflows allow deep focus and flow states.
  • Relationships: When teams can share information easily, collaboration thrives.
  • Meaning: Every action, from lab orders to discharge summaries, directly connects to better patient care.
  • Accomplishment: Tasks completed efficiently give a sense of progress and pride.

When a nurse no longer must chase lab results, when a doctor does not struggle with coding, and when staff are not buried in paperwork, they reconnect with why they entered this field in the first place.

As a product manager, your decisions shape this experience.

Ask yourself:

  • Does this feature make someone’s job easier?
  • Will it reduce burnout?
  • Does it help people care better?

Connected health infrastructure is how we turn systems into allies and restore humanity in healthcare.

References

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  2. Benson, T., & Grieve, G. (2021). Principles of Health Interoperability: SNOMED CT, HL7 and FHIR (4th ed.). Springer.
  3. Kruse, C. S., Stein, A., Thomas, H., & Kaur, H. (2018). The use of Electronic Health Records to support population health: A systematic review of the literature. Journal of Medical Systems, 42(11), 214.
  4. Adler-Milstein, J., & Jha, A. K. (2017). HITECH Act drove large gains in hospital electronic health record adoption. Health Affairs, 36(8), 1416-1422.
  5. Office of the National Coordinator for Health Information Technology. (2020). Strategy on reducing regulatory and administrative burden relating to the use of health IT and EHRs. U.S. Department of Health and Human Services.
  6. World Health Organization. (2019). Classification of Diseases (ICD-11). World Health Organization.
  7. Healthcare Information and Management Systems Society. (2021). Interoperability in Healthcare: 2021 HIMSS Report. HIMSS.
  8. Mandl, K. D., & Kohane, I. S. (2017). Time for a patient-centered health information economy? New England Journal of Medicine, 376(20), 1893-1895.
  9. Gaebel, W., Stricker, J., Kerst, A., 2020. Changes from ICD-10 to ICD-11 and future directions in psychiatric classification. Dialogues Clin. Neurosci. 22, 7–15. https://doi.org/10.31887/DCNS.2020.22.1/wgaebel
  10. Hanna, J., Joseph, E., Brochhausen, M., Hogan, W.R., 2013. Building a drug ontology based on RxNorm and other sources. J. Biomed. Semant. 4, 44. https://doi.org/10.1186/2041-1480-4-44
  11. McDonald, C.J., Huff, S.M., Suico, J.G., Hill, G., Leavelle, D., Aller, R., Forrey, A., Mercer, K., DeMoor, G., Hook, J., Williams, W., Case, J., Maloney, P., for the Laboratory LOINC Developers, 2003. LOINC, a Universal Standard for Identifying Laboratory Observations: A 5-Year Update. Clin. Chem. 49, 624–633. https://doi.org/10.1373/49.4.624
  12. Seligman, M.E.P., 2011. Flourish: a new understanding of happiness and well-being, and how to achieve them, 1. publ. ed. Brealey, London.
  13. Winter, A., Ammenwerth, E., Haux, R., Marschollek, M., Steiner, B., Jahn, F., 2023. Basic Concepts and Terms, in: Health Information Systems, Health Informatics. Springer International Publishing, Cham, pp. 13–49. https://doi.org/10.1007/978-3-031-12310-8_2