“How did you get to this number?” Stakeholder needs for implementing predictive analytics: a pre-implementation qualitative study | Zendy

Natalie C. Benda | Zendy; Lala Tanmoy Das | Zendy; Erika L. Abramson | Zendy; Katherine Blackburn | Zendy; Amy Thoman | Zendy; Rainu Kaushal | Zendy; Yongkang Zhang | Zendy; Jessica S. Ancker | Zendy

Open Access

“How did you get to this number?” Stakeholder needs for implementing predictive analytics: a pre-implementation qualitative study

Author(s) -

Natalie C. Benda,

Lala Tanmoy Das,

Erika L. Abramson,

Katherine Blackburn,

Amy Thoman,

Rainu Kaushal,

Yongkang Zhang,

Jessica S. Ancker

Publication year - 2020

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocaa021

Subject(s) - predictive analytics , sociotechnical system , stakeholder , thematic analysis , health informatics , psychological intervention , workflow , computer science , health care , knowledge management , analytics , credibility , process management , decision support system , data science , qualitative research , medicine , nursing , data mining , engineering , social science , public relations , database , sociology , political science , law , economics , economic growth , public health

Predictive analytics are potentially powerful tools, but to improve healthcare delivery, they must be carefully integrated into healthcare organizations. Our objective was to identify facilitators, challenges, and recommendations for implementing a novel predictive algorithm which aims to prospectively identify patients with high preventable utilization to proactively involve them in preventative interventions.

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