{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:7K7JDJAUIPT7NYDHCCISSFVENL","short_pith_number":"pith:7K7JDJAU","schema_version":"1.0","canonical_sha256":"fabe91a41443e7f6e06710912916a46ae7dc8d841ea13cc0135160bfe6ce0a6f","source":{"kind":"arxiv","id":"2606.23631","version":1},"attestation_state":"computed","paper":{"title":"AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Ivana Drobnjak, John Kelly, Li-Hsi (Sonny) Lin, Pramit Khetrapal, Ronnie Stafford, Yansong Liu","submitted_at":"2026-06-22T17:23:06Z","abstract_excerpt":"Remote patient monitoring depends on patient-reported data to capture the subjective dimension of recovery that devices cannot measure. The Quality of Recovery (QoR-15) survey is the gold-standard instrument for this purpose. It was designed and validated for occasional in-hospital assessment, yet remote monitoring now administers it to patients daily. In our own post-surgical deployment, only 55% of patients submitted the survey more than 14 days of 30 monitoring days. We developed QoR-compact, a five-item daily input for the RPM prediction pathway. Setting a deployment-driven target of one-t"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.23631","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-22T17:23:06Z","cross_cats_sorted":[],"title_canon_sha256":"d4cd80bec1a3fe8e7364a6a0c1ec581a428ed7269edf5903dc60256cc9455ff3","abstract_canon_sha256":"3c9ad7e734e275279a98414058764a0672c6f8ab5370157cbd1bb2c9c0768bb3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T03:14:32.833932Z","signature_b64":"U06CJLm4l6fQOcThFTsb92D/kd7cmOd7tG5x5jukY+mZVAEPYlTGvKIXB27YksfG5iiR4WldYL4QyZfM+SN0Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fabe91a41443e7f6e06710912916a46ae7dc8d841ea13cc0135160bfe6ce0a6f","last_reissued_at":"2026-06-23T03:14:32.833559Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T03:14:32.833559Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Ivana Drobnjak, John Kelly, Li-Hsi (Sonny) Lin, Pramit Khetrapal, Ronnie Stafford, Yansong Liu","submitted_at":"2026-06-22T17:23:06Z","abstract_excerpt":"Remote patient monitoring depends on patient-reported data to capture the subjective dimension of recovery that devices cannot measure. The Quality of Recovery (QoR-15) survey is the gold-standard instrument for this purpose. It was designed and validated for occasional in-hospital assessment, yet remote monitoring now administers it to patients daily. In our own post-surgical deployment, only 55% of patients submitted the survey more than 14 days of 30 monitoring days. We developed QoR-compact, a five-item daily input for the RPM prediction pathway. Setting a deployment-driven target of one-t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.23631","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.23631/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.23631","created_at":"2026-06-23T03:14:32.833621+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.23631v1","created_at":"2026-06-23T03:14:32.833621+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.23631","created_at":"2026-06-23T03:14:32.833621+00:00"},{"alias_kind":"pith_short_12","alias_value":"7K7JDJAUIPT7","created_at":"2026-06-23T03:14:32.833621+00:00"},{"alias_kind":"pith_short_16","alias_value":"7K7JDJAUIPT7NYDH","created_at":"2026-06-23T03:14:32.833621+00:00"},{"alias_kind":"pith_short_8","alias_value":"7K7JDJAU","created_at":"2026-06-23T03:14:32.833621+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7K7JDJAUIPT7NYDHCCISSFVENL","json":"https://pith.science/pith/7K7JDJAUIPT7NYDHCCISSFVENL.json","graph_json":"https://pith.science/api/pith-number/7K7JDJAUIPT7NYDHCCISSFVENL/graph.json","events_json":"https://pith.science/api/pith-number/7K7JDJAUIPT7NYDHCCISSFVENL/events.json","paper":"https://pith.science/paper/7K7JDJAU"},"agent_actions":{"view_html":"https://pith.science/pith/7K7JDJAUIPT7NYDHCCISSFVENL","download_json":"https://pith.science/pith/7K7JDJAUIPT7NYDHCCISSFVENL.json","view_paper":"https://pith.science/paper/7K7JDJAU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.23631&json=true","fetch_graph":"https://pith.science/api/pith-number/7K7JDJAUIPT7NYDHCCISSFVENL/graph.json","fetch_events":"https://pith.science/api/pith-number/7K7JDJAUIPT7NYDHCCISSFVENL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7K7JDJAUIPT7NYDHCCISSFVENL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7K7JDJAUIPT7NYDHCCISSFVENL/action/storage_attestation","attest_author":"https://pith.science/pith/7K7JDJAUIPT7NYDHCCISSFVENL/action/author_attestation","sign_citation":"https://pith.science/pith/7K7JDJAUIPT7NYDHCCISSFVENL/action/citation_signature","submit_replication":"https://pith.science/pith/7K7JDJAUIPT7NYDHCCISSFVENL/action/replication_record"}},"created_at":"2026-06-23T03:14:32.833621+00:00","updated_at":"2026-06-23T03:14:32.833621+00:00"}