Connecting healthcare with analytics to thrive in value-based care: Meeting the needs of everyone at the table

Teams in healthcare take many forms. The diversity of team member specialties, group dynamics, and the focus within each team can make cohesiveness across teams elusive.  However, with the evolution of healthcare the high-functioning team has become more desired and promoted.  Team-based care has gained significant momentum in recent years, both through formal measures such as legislative support and informal developments such as improved healthcare technology.[*]

The important question is then, how can we create high-functioning teams? And where does predictive analytics fit in to this dynamic?  Analytics can promote shared learning and increased adaptability, both of which have been cited as important qualities of high-functioning teams.  Some teams in healthcare have already reaped the benefits by focusing individuals on a particular problem to address together.  A leader of one such team underscored that “all disciplines must be valued, respected, and allowed to practice at their full scope.” This seeming contradiction between the necessity of a singular focus and the individuality of each team member’s skills and expertise is where predictive analytics is particularly useful. Using predictive analytics can provide gives tools to each member to succeed at their highest level while focusing the group on the same data and optimal next steps.

Predictive analytics can be an asset to help each individual member of a team to focus on patient clinical outcomes.  A strong, analytics-based group emphasizes both the team as well as individual roles. As skills and analytics capabilities evolve, predictive analytics becomes the foundation that empowers and strengthens a team to weather the changes.

 

Exhibit 1: Predictive Analytics at the Center of Your Team

Exhibit 1: Predictive Analytics at the Center of Your Team

Here are a few ways where access to predictive information can enable a high-functioning team:

CNO/Medical technician
Access analytic insights to guide critical decision-making at the point of care

  • Empower nurses, educators, case managers, navigators, and technicians
  • Support patient assessment, intervention, and instruction
  • Offer actionable insights along the entire patient journey
  • Recognize opportunities to improve satisfaction from intake, to bedside, to discharge.

Doctor
Identify opportunities to improve clinical and operational processes

  • Enable physicians, extenders, and other providers
  • Identify highest risk patients by diagnosis, and other attributes
  • Prompt interventions based upon risk
  • Advise on ancillary diagnostics, diet, exercise, and recommend follow-up
  • Benchmark patients’ performance against national data

Executive
Engage fellow administrators with valuable cost and quality insights to optimize care outcomes

  • Support the objectives of c-suite executives and department directors
  • Pinpoint revenue-potential service lines, patient outreach, & disease management initiatives
  • Apply population health data to make better decisions
  • Create more cross-disciplinary collaboration on key programs with impact

For every member of every team, predictive analytics can make an important and positive difference.  Analytics are at the heart of the new age of technology-based healthcare. Improved patient outcomes, cohesive teams, and informed strategic decisions—how will your team use predictive analytics?

 

[*] Mitchell, Wynia, Golden, McNellis, Okun, Webb, Rohrbach, and Von Kohorn. Core Principles & Values of Effective Team-Based Health Care. Institute of Medicine. October 2012, page 3.

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