- No public price. Only a "Request a Demo" option is offered.
- Attested
- Not disclosed
- 3
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FeelBetter
by FeelBetter
AI-powered medication management that flags polypharmacy risk and suggests regimen changes for pharmacist and physician review.
On this page
Editorial rating 2.5 / 5
- Clinical Integration2.9/6.6
epic + athena (2 of 3 top EHRs)
- Evidence Strength8.4/27
1 peer-reviewed paper
- Vendor & Market3.9/21.6
Seed-stage or unfunded
- Sentiment & Transparency3/6
Pricing on request, no public amounts
▸ Show all 11 dimensions▾ Hide dimension detail
- EHR integrations (count)1/4
3 EHR integrations
- Top-3 EHR coverage (Epic / Oracle / Athena)2/2
epic + athena (2 of 3 top EHRs)
- Peer-reviewed papers8/21
1 peer-reviewed paper
- RCT / meta-analysis / systematic review0/6
No RCT, meta-analysis, or systematic review
- Funding & adoption signal4/16
Seed-stage or unfunded
- Years in market0/6
Founded year not recorded
- Pricing transparency3/6
Pricing on request, no public amounts
AI-powered medication management that flags polypharmacy risk and suggests regimen changes for pharmacist and physician review.
No public price. Only a "Request a Demo" option is offered. HIPAA-attested. integrates with Epic, athenahealth, PointClickCare.
Evidence record
1 study on PubMed: 1 other, published 2024. Read the literature summary
- Score computed November 2, 2026, method 1.2.0
- Review written November 2, 2026
MedAI Verdict, FeelBetter record, https://medaiverdict.com/tools/feelbetter, version November 2, 2026
Bottom line
FeelBetter is a platform for population-level and point-of-care medication management, and the vendor markets it as "AI-Powered Medication Management". The vendor says it reads EMR and claims data, ranks patients by risk and sends pharmacists and physicians suggested medication changes to review. Health systems, ACOs and long-term care organizations are the customers the About page describes. A prescriber who wants an answer to one drug question during a visit, or a practice with no claims or EMR feed to send, is not that customer.
How does FeelBetter work?
The vendor says its machine learning builds "precise, validated algorithms" from EMR and claims data, stratifies patients by risk and generates personalized interventions and treatment plans for clinician review. The model type is not named. A testimonial on the site calls the product "Pharmaco-Clinical Intelligence". A Brigham and Women's paper titled "A machine learning technology for addressing medication-related risk in older, multimorbid patients" describes the system as sorting patients into 22 risk levels for ED visits and hospitalization. It also describes medication warnings and recommendations from medications, demographics, diagnoses, labs, utilization and costs.
The site names Epic, athenahealth and PointClickCare as integrations. It shows a HIPAA seal with no statement text, has a privacy policy and no dedicated security page, and makes no FDA statement.
What did the Brigham study measure?
Seger and colleagues (Am J Manag Care, August 2024, PMID 39146480) ran a retrospective cohort in older, multimorbid patients. Patients in the top 1% risk percentile had odds ratios of 7.9 for ED visits and 17.3 for hospitalization against the 45th to 50th percentile. Two clinical pharmacists reviewed the recommendations for 200 patients, and of 1,290 warnings they judged 1,151 (89.2%) correct.
All listed authors work at Brigham and Women's. The PubMed record carries no conflict-of-interest or funding text, so whether FeelBetter funded or co-authored the study is not determined. The paper measures prediction and recommendation accuracy, not patient outcomes.
Who runs FeelBetter, and who funded it?
The About page gives Boston and Tel Aviv as headquarters and 2019 as the founding year, while press coverage excerpted in web results says 2018. Liat Primor is co-founder and CEO, Yoram Hordan is co-founder and COO/CTO, and Adva Tzuk Onn is CMO. Clinical advisors named on the page include David Bates MD MSc.
The vendor site states no funding. Built In Boston and FinSMEs articles, as excerpted in web search results, report a $5.9M round announced on July 31, 2023, led by Firstime Ventures and Shoni Health Ventures, and a total of $8M. Ownership is not stated.
What does the homepage claim, and how is it bought?
The homepage reports 450K+ patients managed across ACO and health-system partners and $2,775 in savings per high-risk patient per month. It also says previously uncontrolled patients reached 64% LDL control and 57% HbA1c control within three months. It gives no source for these figures, which come from the vendor's own patient population. The praise on the site is a testimonial from Jim Barr, MD, VP of Clinical Intelligence at Atlantic Health System.
FeelBetter offers a "Request a Demo" button and shows no price.
The verdict
The one published paper has two pharmacists agreeing with 89.2% of the warnings they reviewed. Organizations that hold claims and EMR data and want pharmacists working from a ranked list are the buyers, and a solo practice or a clinician after a point-of-care lookup is not.
Editorial review last generated November 2, 2026. Synthesized from clinician sentiment, peer-reviewed coverage, and our editorial silo picks. Refined by hand where vendor facts change.
What it costs
All tiers are custom-quoted. The vendor does not publish per-provider list pricing.
| Tier | Monthly | Annual | Notes |
|---|---|---|---|
| Enterprise | Not stated | Not stated | No public price. Only a "Request a Demo" option is offered. |
Source: vendor pricing page. Last checked November 2, 2026.
What deploys cleanly
Carries HIPAA (vendor seal, feelbetter.healthcare) per vendor documentation. Independent attestation review is the buyer's responsibility before clinical deployment. Integrates with 3 EHRs: Epic, athenahealth, PointClickCare.
What the literature says
1 peer-reviewed study indexed on PubMed evaluate FeelBetter in clinical contexts. The most relevant are shown below, ranked by editorial relevance score combining title match, study design, recency, and journal tier.
- A machine learning technology for addressing medication-related risk in older, multimorbid patients. (opens in new tab)
- Seger DL, Amato MG, Frits M, et al.· Am J Manag Care· 2024
- To evaluate the FeelBetter machine learning system's ability to accurately identify older patients with multimorbidity at Brigham and Women's Hospital at highest risk of medication-associated emergency department (ED) visits and hospitalizations, and to assess the system's ability to provide accurate medication recommendations for these patients. Retrospective cohort study. The system uses medications, demographics, diagnoses, laboratory results, health care utilization patterns, and costs to stratify patients' risk of ED visits and hospitalizations. Patients were assigned 1 of 22 risk l…


