Article: Clinical decision support system for early diagnosis and intervention in multiple sclerosis Journal: International Journal of Medical Engineering and Informatics (IJMEI) 2022 Vol.14 No.3 pp.264 - 271 Abstract: Multiple sclerosis is one of the most common neurological disorders causing disability among young adults in North America and Europe. It is an incurable and non-communicable disease, debilitated by physical and mental impairments. Recently the incidence of MS reported in the USA doubled, compared to the past estimates. The average period to diagnose MS still ranges from six months to three years despite all advances in diagnostics and therapeutics. Studies suggest that early diagnosis and intervention can delay the progression of the disease and improve the quality of life. We have done a review of literature followed by a quasi-experimental approach to collect quantifiable predictors and analyse the trending incidence of MS in the USA. We conclude that no CDSS exists to date to diagnose MS early. Predictors are available to design a clinical decision support tool for multiple sclerosis that can help clinicians in the early diagnosis and intervention. Inderscience Publishers - linking academia, business and industry through research

Title: Clinical decision support system for early diagnosis and intervention in multiple sclerosis

Authors: Jojy Cheriyan; Dinesh P. Mital; Shankar Srinivasan; Riddhi Vyas

Addresses: Rutgers School of Health Professions, 675 Hoes Lane West, Research Tower, 8th Floor, Piscataway, NJ-08854, USA ' Rutgers School of Health Professions, 675 Hoes Lane West, Research Tower, 8th Floor, Piscataway, NJ-08854, USA ' Rutgers School of Health Professions, 675 Hoes Lane West, Research Tower, 8th Floor, Piscataway, NJ-08854, USA ' Rutgers School of Health Professions, 675 Hoes Lane West, Research Tower, 8th Floor, Piscataway, NJ-08854, USA

Abstract: Multiple sclerosis is one of the most common neurological disorders causing disability among young adults in North America and Europe. It is an incurable and non-communicable disease, debilitated by physical and mental impairments. Recently the incidence of MS reported in the USA doubled, compared to the past estimates. The average period to diagnose MS still ranges from six months to three years despite all advances in diagnostics and therapeutics. Studies suggest that early diagnosis and intervention can delay the progression of the disease and improve the quality of life. We have done a review of literature followed by a quasi-experimental approach to collect quantifiable predictors and analyse the trending incidence of MS in the USA. We conclude that no CDSS exists to date to diagnose MS early. Predictors are available to design a clinical decision support tool for multiple sclerosis that can help clinicians in the early diagnosis and intervention.

Keywords: multiple sclerosis; MS; clinical decision support system; CDSS; national inpatient sample; NIS; healthcare cost and utilisation project; HCUP.

DOI: 10.1504/IJMEI.2022.122285

International Journal of Medical Engineering and Informatics, 2022 Vol.14 No.3, pp.264 - 271

Received: 19 Nov 2019
Accepted: 14 Dec 2019
Published online: 19 Apr 2022 *

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Title: Clinical decision support system for early diagnosis and intervention in multiple sclerosis

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