TY - CHAP
T1 - Utilizing health analytics in improving the performance of hospitals and healthcare services
T2 - promises and challenges
AU - Khalifa, Mohamed
AU - Househ, Mowafa
PY - 2021/6/1
Y1 - 2021/6/1
N2 - Health informatics is heading towards utilizing big data analytics, business intelligence, and artificial intelligence in exploring current and potential healthcare challenges and recommending evidence-based solutions to enhance strategic effectiveness and improve operational efficiency. We need to explore various advantages and potential gains of utilizing health analytics in addition to discussing different types of challenges and methods of overcoming these challenges in implementing and utilizing such resources. We conducted a focused review of literature to classify the advantages of implementing and utilizing health analytics. Health analytics challenges and critical success factors were also examined and categorised based on qualitative thematic analysis. Through examining sixty eligible studies, our focused review of literature identified three ways to classify advantages and potential gains of utilizing health analytics; based on healthcare levels, aspects, and dimensions. We also identified three main categories of challenges of health analytics: human, technological, and organisational. Using health analytics, several healthcare aspects can be improved, such as patient safety, healthcare effectiveness, efficiency, and timeliness. Health analytics implementation is faced with various technology, human, and organization related challenges. The non-technological challenges are more difficult and need more time to be resolved, including the development of a clear vision to guide implementation projects.
AB - Health informatics is heading towards utilizing big data analytics, business intelligence, and artificial intelligence in exploring current and potential healthcare challenges and recommending evidence-based solutions to enhance strategic effectiveness and improve operational efficiency. We need to explore various advantages and potential gains of utilizing health analytics in addition to discussing different types of challenges and methods of overcoming these challenges in implementing and utilizing such resources. We conducted a focused review of literature to classify the advantages of implementing and utilizing health analytics. Health analytics challenges and critical success factors were also examined and categorised based on qualitative thematic analysis. Through examining sixty eligible studies, our focused review of literature identified three ways to classify advantages and potential gains of utilizing health analytics; based on healthcare levels, aspects, and dimensions. We also identified three main categories of challenges of health analytics: human, technological, and organisational. Using health analytics, several healthcare aspects can be improved, such as patient safety, healthcare effectiveness, efficiency, and timeliness. Health analytics implementation is faced with various technology, human, and organization related challenges. The non-technological challenges are more difficult and need more time to be resolved, including the development of a clear vision to guide implementation projects.
KW - Health analytics
KW - Big data
KW - Business intelligence
KW - Artificial intelligence
KW - Healthcare performance improvement
KW - Hospitals
UR - http://www.scopus.com/inward/record.url?scp=85112518849&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-67303-1_3
DO - 10.1007/978-3-030-67303-1_3
M3 - Chapter
SN - 9783030673024
T3 - Lecture Notes in Bioengineering
SP - 23
EP - 39
BT - Multiple perspectives on artificial intelligence in healthcare
A2 - Househ, Mowafa
A2 - Borycki, Elizabeth
A2 - Kushniruk, Andre
PB - Springer
CY - Cham, Switzerland
ER -