Profility wants the patient to arrive before the paperwork becomes a problem

A patient can be ready to leave a hospital while the next place remains unready to receive them. Somewhere between those two facts sits a referral packet: diagnoses, medication lists, therapy notes, insurance details. The packet may contain the answer to every sensible question. Finding those answers before making an admission decision is another matter. Profility has built a business around that distinction.

The handoff nobody enjoys

Post-acute care is the care that follows a hospital stay, often in a skilled nursing facility or through a home health agency. For the receiving team, a referral poses several questions at once. Can we meet this person’s needs? Are the medications manageable? Does the coverage fit? Who still needs to approve the move? An available bed answers only one of them.

Profility’s intake tools collect referrals into a shared dashboard and turn the record into a structured patient profile. The company describes summaries spanning two pages and more than 70 fields, produced in under two minutes. Crucially, it also describes human validation and links back to the underlying information. A short summary is useful only if someone can inspect how it reached its conclusions.

The less theatrical features matter here: insurance eligibility, expensive medications, capacity information, notifications. They bring nursing, admissions, therapy, and billing into the same conversation. Profility sells the working arrangement as much as the prediction.

The workflow changes with the care setting. For home health agencies, Profility describes team routing by geography, referral source, and patient type, plus face-to-face documentation support. A referral outside an agency’s service area presents a different problem from one missing a physician note. Putting both into a single queue helps only when the right team receives the right task.

A patient with useful precedents

The company’s older idea is more unusual than document compression. Its predictive approach groups a patient with historical patients who share relevant characteristics, then uses those precedents to estimate risks and potential outcomes. Profility calls these groups “near-clones.” The name suggests a laboratory mishap; the method concerns comparable records.

A diagnosis alone does not tell a receiving team everything it needs to know. Functional limitations, other conditions, medications, and social circumstances can alter the picture. Patient similarity offers a way to ask a more particular question: what happened to people whose circumstances resembled this person’s?

There is a research history behind that proposition. The I-CARE4OLD consortium describes Profility’s work turning large patient datasets into profiles and identifies it as a co-leader of the project’s decision-support platform work. Founder Erez Schachter previously founded Approximatch, sold to Amdocs. Matching technology supplies a thread connecting the businesses.

A payment problem wearing a clinical coat

An admission is also a promise to finance the care. Profility’s PReP Authorize pulls relevant information from electronic medical records, analyzes managed-care contracts, and organizes documentation for new and ongoing authorizations. It also prepares supporting files for audits and denials. The paperwork continues after the patient arrives, so the software follows it.

That gives Profility several audiences inside an organization. Intake staff need a readable referral. Case managers need supporting evidence. Reimbursement teams need documentation that reflects the care delivered. Leaders need to see where referrals stall. The product spans these jobs because the underlying patient journey spans them.

The commercial model is business-to-business cloud software, with a sales demonstration as the entry point. Facilities can add applications and expand deployment across a network. For a buyer, the relevant cost includes staff review, implementation, and the contract itself. A favorable return depends on what happens to the whole workflow, rather than how quickly a summary appears.

Behavioral health adds another layer. Profility’s tools assemble behavioral and clinical details alongside substance-use and treatment history, helping teams plan before arrival. Its dialysis offering applies the same intake-and-coordination idea to specialist care. These are adaptations of the handoff problem: each receiving organization needs a patient picture suited to the work it can actually perform.

The evidence behind the promise

Profility’s April 2026 investment announcement reports deployment in 800 skilled nursing facilities across 37 states. It identifies Ohad Barzilay as CEO and Schachter as CTO. Those figures describe the footprint reported at that moment; they are not a clinical result.

The company’s website also carries customer testimonials. An anonymous Georgia group describes higher Medicare per-day reimbursement across six sites over six months. Such stories suggest the operational case for buying the software. They do not establish that every facility will obtain the same result, or isolate the software from staffing, patient mix, and other changes.

Separately, a 2018 study in BMC Geriatrics lists Profility affiliation and research support in work developing post-acute quality indicators. That is evidence of research involvement. It should not be mistaken for a controlled evaluation of today’s commercial suite. Keeping those two kinds of evidence separate makes the company easier to judge.

A crowded corridor

Profility occupies a busy part of healthcare software. WellSky CarePort covers discharge planning, referrals, intake, and authorizations. PointClickCare’s Referral Advisor puts AI admissions tools inside its electronic health record. Buyers already have alternatives for moving information and reviewing referrals.

Profility’s pitch combines patient profiling, predictive matching, reimbursement support, and connections to existing systems. Its stated physician-supported review process adds another distinction. The sensible comparison is specific: which records arrive, who checks them, how exceptions are handled, and which existing steps disappear? An attractive dashboard that leaves duplicate work intact has merely furnished the corridor.

Copy the question, then the software

In an August 2026 article, customer-operations executive Katelyn Caselli asks of vendors, “Are they making our organization better?” It is an excellent question to turn back on Profility. Measure referral response time, documentation completeness, denial patterns, and the effort required to keep the system useful.

“Are they making our organization better?”Katelyn Caselli / Profility, August 2026

The lesson is available before any purchase. Organize the information around the decision, give someone responsibility for checking it, and measure the handoff. Missing records, inadequate staffing, or unavailable clinical capacity will still constrain an admission. Profility’s opportunity rests on helping capable teams use the information they already have. That is a practical ambition, and a sufficiently demanding one.