# PHORA-Pulmonary Hypertension Outcome Risk Assessment

> **NIH NIH R01** · OHIO STATE UNIVERSITY · 2022 · $721,362

## Abstract

ABSTRACT
This application seeks to develop improve and expand a multi-platform clinical decision support system
(CDSS) in pulmonary arterial hypertension (PAH) for physicians, PHORA (Pulmonary Hypertension
Outcomes Risk Assessment), which can be used in adults and children to: a) guide therapeutic decisions
and b) optimize clinical trial design. We will achieve this goal by utilizing clinical trial data from several large
databases of completed trials in PAH, ongoing adult and Pediatric PAH registries and Biobanks. The proposed
aims co-create the CDSS with a multi-disciplinary group of specialties including: biomedical engineering,
advanced PAH, computer science (machine learning/data mining), human computer interaction, and palliative
care experts. Our intention is to engage all stakeholders to achieve consensus and thereby assure the
acceptance of PHORA into practice. Successful completion of this project will lay the foundation for a
prospective, multi-center META-Registry in which PHORA will be evaluated with respect to modeling best
practice interventions leading to improved long-term patient outcomes. The ultimate aim is to disseminate this
resource so as to improve the efficiency, efficacy, and cost-effectiveness of this treatment for PAH.

## Key facts

- **NIH application ID:** 10504254
- **Project number:** 1R01HL164906-01
- **Recipient organization:** OHIO STATE UNIVERSITY
- **Principal Investigator:** Ayesha Hasan
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $721,362
- **Award type:** 1
- **Project period:** 2022-09-01 → 2027-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10504254

## Citation

> US National Institutes of Health, RePORTER application 10504254, PHORA-Pulmonary Hypertension Outcome Risk Assessment (1R01HL164906-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10504254. Licensed CC0.

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