Healthcare and life sciences leaders see generative AI's potential to reshape front- and back-office operations, with 56% of US healthcare executives already implementing or planning to implement strategies, along with 46% of their counterparts in life sciences.
Legacy systems trap data, leading to fragmentation and inefficiency in gathering and integrating vital information.
A labyrinth of regulations, from HIPAA to FDA guidelines, presents compliance hurdles and hefty penalties for non-compliance in healthcare and life sciences.
Large-language models risk producing inaccurate or nonsensical outputs, undermining decision-making, and user trust.
Generative AI demands robust governance to combat bias, hallucination, and drift, safeguarding valuable insights and intellectual property.
Legacy systems trap data, leading to fragmentation and inefficiency in gathering and integrating vital information.
A labyrinth of regulations, from HIPAA to FDA guidelines, presents compliance hurdles and hefty penalties for non-compliance in healthcare and life sciences.
Large-language models risk producing inaccurate or nonsensical outputs, undermining decision-making, and user trust.
Generative AI demands robust governance to combat bias, hallucination, and drift, safeguarding valuable insights and intellectual property.
Hybrid solution with AI models and business rules
Authoritative identification of unique individuals
Elimination of duplicate records, normalization, and missing data identification
Utilization of similarity matrices for matching unique records
reduction in
ER visits
improvement
in MLR
increase in neighborhood engagement
patient satisfaction
rate
Hybrid solution with AI models and business rules
Authoritative identification of unique individuals
Elimination of duplicate records, normalization, and missing data identification
Utilization of similarity matrices for matching unique records
reduction in
ER visits
improvement
in MLR
increase in neighborhood engagement
patient satisfaction
rate
NLP platform development by Tredence
Consumption of disparate data sources
Generation of insights for medical affairs teams
Manual effort required for identifying insights on KOLs
80% reduction in
manual work
10% increase in KOL
volumes
Analysis of 50K+ MSL notes and 90M+ publications
NLP platform development by Tredence
Consumption of disparate data sources
Generation of insights for medical affairs teams
Manual effort required for identifying insights on KOLs
80% reduction in
manual work
10% increase in KOL
volumes
Analysis of 50K+ MSL notes and 90M+ publications
