Potentially Avoidable Referrals

Uses

Comparisons

Evidence quality

Other

Highlighted claims

• Haematological disorder ruled out accounted for 1,440 patients, or 1.6% of patients overall. — What factors influence patient participation in an artificial intelligence-based initiative to optimise referrals from primary to specialist haematology care? A multicentre retrospective observational study in four Spanish hospitals
• Haematological disorder ruled out appeared among the ten most common diagnoses for all included presenting complaints except deep vein thrombosis/pulmonary embolism. — What factors influence patient participation in an artificial intelligence-based initiative to optimise referrals from primary to specialist haematology care? A multicentre retrospective observational study in four Spanish hospitals
• The diagnosis analysis covered 87,397 appointment records across first and follow-up haematology appointments. — What factors influence patient participation in an artificial intelligence-based initiative to optimise referrals from primary to specialist haematology care? A multicentre retrospective observational study in four Spanish hospitals
• For leucopenia, the proportion of patients coded as haematological disorder ruled out reached up to 4.6%. — What factors influence patient participation in an artificial intelligence-based initiative to optimise referrals from primary to specialist haematology care? A multicentre retrospective observational study in four Spanish hospitals
• The authors interpreted haematological disorder ruled out coding as evidence that some referrals may be avoidable and that referral-quality strategies are needed. — What factors influence patient participation in an artificial intelligence-based initiative to optimise referrals from primary to specialist haematology care? A multicentre retrospective observational study in four Spanish hospitals