DDHA 8503 Week 7 Scenario Set Example

Four Inboxes in 2029: A Scenario Set Built on Two Uncertainties, Whether Drafting Software Truly Saves Clinician Time and Whether Messaging Becomes Paid Care

Student Name

Walden University

DDHA 8503: Strategic Management and Systems Thinking

Instructor Name

Month Day, Year

Four Inboxes in 2029: A Scenario Set Built on Two Uncertainties, Whether Drafting Software Truly Saves Clinician Time and Whether Messaging Becomes Paid Care

Purpose

This scenario set describes four plausible states of Brightwater Medical Group's patient messaging system three years from now. It is not a forecast. Its purpose is to test today's decisions against futures that would call for different choices. If all four scenarios recommended the same action, the set would have failed, because a decision robust to every future needs no scenarios to justify it. Schoemaker (1995) describes scenario planning as a way to bound uncertainty by building a few internally consistent futures around the uncertainties that matter most, rather than predicting one, and the set follows that approach.

Drivers

Many forces bear on the messaging system, but most are either predictable or unimportant for the decisions Brightwater faces. Primary care workforce shortages, for example, are close to certain to continue and so belong in every scenario rather than distinguishing among them. Immediate release of test results is fixed by federal rules. Two uncertainties remain that are both important and genuinely open.

The first is whether drafting software reduces clinicians' effort per reply. Vendors are building generative tools that draft replies to patient messages. Garcia et al. (2024) found that clinicians in one pilot reported less task load and exhaustion but did not spend measurably less time replying. Whether later versions change that is unknown, and the answer determines how much reply capacity a clinician hour holds.

The second is whether messaging becomes paid care. Payers allow some messages to be billed, but billing has so far reduced volume only slightly and produced little revenue at the one system studied (Holmgren et al., 2023). Whether payers expand coverage, and whether patients come to accept charges, will decide whether messaging is a funded service or an unfunded expectation.

These two were chosen over more familiar candidates because each would change what Brightwater should do now, and because neither can be resolved by waiting a few months.

Scenario 1: Paid and Assisted

In this world, drafting tools save real time and most commercial plans and Medicare cover message-based visits with modest cost sharing. Messaging is a recognized service line. Clinicians at Brightwater spend about a fifth of their scheduled time in protected inbox sessions that are counted as clinical work, and drafts let them clear a session's queue in roughly two thirds of the time it took in 2026. Volume is high and still growing, but it is paid for. The reinforcing loop between the inbox and clinic hours is weakened, because inbox time no longer spills into evenings.

Early indicators visible now: payer announcements extending coverage for online visits; vendor reports of time savings confirmed by independent studies; Brightwater clinicians choosing to use drafts in more than half of replies during pilots.

Scenario 2: Free and Assisted

In this world, drafting tools save time, but messaging remains largely unpaid. Patients resist charges, payers do not expand coverage and Brightwater, like its competitors, stops billing. Because replies are faster and free, patients send more messages, and volume rises by more than the time saved. The inbox is faster per message and larger in total. Clinicians are less exhausted by each message but face more of them, and the loop continues at a slower pace.

Early indicators visible now: competitors announcing they will not bill for messages; patient complaints about message charges reaching local media; message volume rising after drafting pilots begin.

Scenario 3: Paid and Unassisted

In this world, drafting tools disappoint, saving little real time, but message-based visits become widely billable. Brightwater can earn revenue from messaging but cannot answer more messages per clinician hour. The group responds by moving most message answering to nurses and advanced practice providers, who bill under their own credentials where allowed, while physicians focus on visits. Messaging becomes a separate team's work.

Early indicators visible now: published evaluations showing no time savings from drafting; payer coverage expanding; advanced practice providers' share of billed online visits growing in Brightwater's own data.

Scenario 4: Free and Unassisted

In this world, neither change arrives. Drafting tools save little, messaging stays unpaid and volume keeps rising with portal use and immediate result release. The reinforcing loop between inbox, burnout and clinical hours runs largely unchecked, and Brightwater's main problem becomes holding on to clinicians. Groups that limit messaging, through stricter categories, response windows or redirecting questions to visits, keep clinicians longer than groups that do not.

Early indicators visible now: no change in payer policy over the next year; drafting pilots that clinicians abandon; rising clinician requests to reduce clinical hours.

What Each Future Recommends Today

Each scenario points to a different decision this year. Paid and Assisted recommends building protected, credited inbox time into clinician schedules now, so the group is ready to bill when coverage expands. Free and Assisted recommends investing in demand shaping, such as self-service refills and easier visit booking, since faster replies alone will attract more messages. Paid and Unassisted recommends building a nurse and advanced practice messaging team and setting up billing under their credentials. Free and Unassisted recommends limiting channels and protecting clinical hours, accepting some patient dissatisfaction.

These decisions conflict, which is what makes the set useful. Two actions, however, are sensible in all four: measuring unresolved patient questions rather than only reply times, and running a careful drafting pilot whose results will reveal which half of the scenario grid Brightwater is moving toward. Those two should start now, and the larger choices should wait for the indicators.

The set should be revisited each year. If the indicators for one scenario strengthen while the others fade, Brightwater can commit to that scenario's recommendation with more confidence. If the indicators conflict, as they may for a while, the group should keep its commitments small and reversible. A scenario set that is written once and filed has done only half its work; the other half is watching which future is arriving and being willing to change course when it becomes clear.

References

Garcia, P., Ma, S. P., Shah, S., Smith, M., Jeong, Y., Devon-Sand, A., Tai-Seale, M., Takazawa, K., Clutter, D., Vogt, K., Lugtu, C., Rojo, M., Lin, S., Shanafelt, T., Pfeffer, M. A., & Sharp, C. (2024). Artificial intelligence-generated draft replies to patient inbox messages. JAMA Network Open, 7(3), Article e243201. https://doi.org/10.1001/jamanetworkopen.2024.3201

Holmgren, A. J., Byron, M. E., Grouse, C. K., & Adler-Milstein, J. (2023). Association between billing patient portal messages as e-visits and patient messaging volume. JAMA, 329(4), 339-342. https://doi.org/10.1001/jama.2022.24710

Schoemaker, P. J. H. (1995). Scenario planning: A tool for strategic thinking. Sloan Management Review, 36(2), 25-40.