1 / 5

Enhancing Patient Care Through Data-Driven Medical Practice

Data-driven medical practice is essential for understanding patient needs, health risks, and treatment progress. Patients, physicians, and payers benefit from integrated data that supports clinical decision-making and improves disease management. Key elements include clinical measures beyond traditional claims, longitudinal data collection, and continuous performance feedback. Effective clinical data systems must be organized, user-friendly, and adaptable to evolving needs. Implementing an Electronic Health Record (EHR) requires commitment, collaboration, and adherence from all team members to ensure successful integration and maximize patient outcomes.

nantai
Télécharger la présentation

Enhancing Patient Care Through Data-Driven Medical Practice

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data-Driven Medical Practice

  2. Data-Driven Medical Practice What are the needs? • Patients • health status • health risks • progress during treatment • Physicians • treatment decision support • trends in disease management • financial management • Payers (commercial and government) • understanding of the burden of disease (population perspective) • assurance of quality for their customers/beneficiaries • fiscal responsibility to the system

  3. Data-Driven Medical Practice What are the elements of data-driven medical practice? • Clinical measures in addition to traditional claims statistics • Data grouped in clinically meaningful patient cohorts – something more than traditional ICD-9, CPT & DRG coding • Longitudinal data collected consistently over time • Data focused on measuring clinical outcomes and monitoring adherence to practice pathways • Integrated data from provider and payor partners – let’s all understand the big picture • Clinical improvements driven by continual performance feedback

  4. Data-Driven Medical Practice What do effective clinical data systems need? • Logic • organized around clinical thinking • algorithm-based features • Usability (aka “user friendliness”) • can people learn the processes • Some rigidity • there must be a basic foundation and certain required functions that are common to all systems, ie “data definitions” • Some flexibility • Data needs will evolve over time – the system needs the capacity to capture discrete data without substantive re-design • Avoid gimmicks • Multi-lingual (actually, “machine” language) • Can our black box talk to your black box?

  5. Data-Driven Medical Practice • How does a practice implement an EHR? • Choose an EHR • Create a small committee of committed physicians and clinical users who will champion the system • Get a top-flight consultant who knows the system • Listen to the consultant • Use the system as it is designed – there is no perfect system – get over it! • This may mean that you need to rethink your work flow – heavens! • Establish consistency within the practice • EVERYone must use the system at a minimum threshold • Reach agreement on where and how data will be stored and retrieved – all users must comply • It won’t happen over a weekend

More Related