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Enregistrement W1998647632 · doi:10.1097/01.pcama.0000327408.71354.52

What Can Claims Data Tell the Case Manager?

2008· article· en· W1998647632 sur OpenAlexaff
Sandra M. Terra

Notice bibliographique

RevueProfessional Case Management · 2008
Typearticle
Langueen
DomaineHealth Professions
ThématiquePrimary Care and Health Outcomes
Établissements canadiensHealth Care Foundation
Organismes subventionnairesnon disponible
Mots-clésReimbursementDocumentationRelevance (law)Service (business)Case mix indexProtocol (science)Case managementMEDLINEBusinessMedicineOperations managementNursingComputer scienceHealth careMarketingEconomicsAlternative medicine

Résumé

récupéré en direct d'OpenAlex

PURPOSE OF STUDY: This article seeks to use claims data to evaluate provision of service in 4 diagnosis-related groups (DRGs) for a rural hospital in an effort to better understand an increasing length of stay (LOS) and a decreasing case mix index (CMI). The complexity of the patient drives the services delivered, but does it drive the DRG assignment? Reimbursement for inpatient medical services is driven by DRG assignment and has an associated expected LOS. LOS is a result of the combination of physician practice patterns, available services, and the medical complexity of the patient. Itemized hospital charges can provide sufficient information to examine service delivery in broad categories. When compared to the services delivered through a professional protocol, physician practice benchmarks can be created. Identifying those services that are consistent and inconsistent with the protocol can prove illuminating and point to under- and overutilization, inadequate documentation, as well as opportunities for physician education. PRIMARY PRACTICE SETTING(S): Although this study was undertaken using hospital inpatient claims, the study can be recreated in almost any practice setting where there is a consistent mechanism to capture the provision of services. In the broader scheme, as case management practice transitions from functional models to outcome models, the relevance of these issues becomes more profound. The information gleaned from such a study can not only benefit case management administrators but inform and impact those involved in case management at any level. Indeed, the information can illuminate practice patterns for those beyond the case management sector and can include financial administrators, physician practice managers, and physicians. METHODOLOGY AND SAMPLE: A combination of developmental and casual-comparative methodology was applied to this study. The results of this study will create baselines for current practice patterns from which improvement opportunities in both resource and quality management can be identified. Casual-comparative research identifies a consequence and attempts to trace it back to its origin. In this case, the discharge diagnosis, a function of documentation, is the consequence, and this study attempts to determine whether physician practice patterns are accurately reflected in that documentation. The sample consisted of the itemized claims data for all patients discharged from Putnam Community Medical Center (PCMC) between January 1 and June 30, 2006, with a discharge DRG of 127, 089, 088, or 143. Records that did not have sufficient charges to map provision of care were excluded. CONCLUSIONS: An analysis of the charges for the selected DRGs illustrates the actual care provided to the patient, rather than the resultant coding based on physician documentation. This finding leads to 1 of 3 conclusions: physician documentation is inadequate to allow accurate coding of services delivered; the physician may be ordering unnecessary services/interventions; or medical record coding may be suboptimal. The scope of today's acute care case management department often includes social work, utilization review, discharge planning, and resource management. Within that scope is the accountability for certain aspects of the hospital's financial performance, not the least of which is LOS. A clear understanding of the payer mix and the effect upon financial performance is necessary. Management of DRG reimbursement-based contracts requires investigation of practice patterns that may increase LOS, and documentation that can affect medical coding decisions. The results of these activities can guide clinical practice guideline adoption or development and identify opportunities to fine-tune documentation to better reflect services provided and support utilization decisions. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: Case Management Society of America (CMSA) Standards of Practice charge the profession with engaging strategies whenever possible to improve outcomes. Performance indicators include advocacy, resource management/stewardship, and research utilization. Addressing physician practice patterns and reducing nonessential services are examples of advocacy at the service-delivery level. These activities are also examples of resource management/stewardship as they seek to "promote the most effective and efficient use of healthcare services and financial resources" (CMSA, 2002, p. 19). The standards of practice call for research utilization and encourage research activities that are appropriate to case management practice and the subsequent sharing of those findings. In this way, the profession is enriched and promotes cost-effective, quality care and case management practice.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,185
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0060,000
Communication savante0,0000,001
Science ouverte0,0010,004
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,187
Tête enseignante GPT0,464
Écart entre enseignants0,276 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2008
Routes d'admission1
Résumé présentoui

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