Legislator Briefs · 9 published · one page each
Legislator Briefs
A legislative office has five minutes and a printer. Each brief compresses one published proposal into a single page: what the issue is, what the law currently provides, where the gap is, what KPSGILL recommends, who has the authority to act, what it would cost, who is affected, what the trade-offs are, and what the next decision point is.
The briefs
By domain and decision-maker
| Brief | Domain | First mover | Full text |
|---|---|---|---|
| AI medical record integrity | Artificial intelligence & medicine | California Legislature (Health and Safety Code) | Full proposal |
| Parallel certification recognition | Certification & credentialing | California Legislature (Business and Professions Code; Insurance Code) | Full proposal |
| Prior authorisation duration and automated denial | Payer & prior authorization | California Legislature (Health and Safety Code; Insurance Code) | Full proposal |
| Corporate control of clinical judgement | Physician independence & ownership | Medical Board of California (rulemaking) | Full proposal |
| Laboratory quality as payment integrity | Drug & device regulation | CMS (payment rules) | Full proposal |
| Physician payment: update and redistribution | Physician payment | Congress | Full proposal |
| Medical board investigative process | Medical board reform | California Legislature (Business and Professions Code; Government Code) | Full proposal |
| Health data outside HIPAA | Health data & digital medicine | California Legislature (Civil Code) | Full proposal |
| Emergency public-health powers | Public health | California Legislature (Health and Safety Code; Government Code) | Full proposal |
What a brief does not do
A brief adds no facts to the proposal it compresses and takes no position the full page does not already take. Where a proposal declines to take a position because the record is thin — coverage architecture is the current example — there is no brief, because there is nothing to recommend yet. Where the object is a forecast rather than a recommendation, it stays in the Policy Lab with its confidence, its assumptions and its competing scenario attached.