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Exploring Health Informatics in the Battle against Drug Addiction: Digital Solutions for the Rising Concern.
Shimu, Shakila Jahan; Patil, Srushti Moreshwar; Dadzie, Ebenezer; Tesfaye, Tadele; Alag, Poorvanshi; Wieckiewicz, Gniewko.
Affiliation
  • Shimu SJ; Department of Health Informatics, Harrisburg University of Science and Technology, Harrisburg, PA 17101, USA.
  • Patil SM; SMBT Medical College, Dhamangaon, Nashik 422403, India.
  • Dadzie E; School of Clinical Medicine, Inner Mongolia University for the Nationalities, Tongliao 028000, China.
  • Tesfaye T; CareHealth Medical Practice, Addis Ababa 9023, Ethiopia.
  • Alag P; Psychiatry Department, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
  • Wieckiewicz G; Department of Psychiatry, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-055 Katowice, Poland.
J Pers Med ; 14(6)2024 May 23.
Article in En | MEDLINE | ID: mdl-38929777
ABSTRACT
Drug addiction is a rising concern globally that has deeply attracted the attention of the healthcare sector. The United States is not an exception, and the drug addiction crisis there is even more serious, with 10% of adults having faced substance use disorder, while around 75% of this number has been reported as not having received any treatment. Surprisingly, there are annually over 70,000 deaths reported as being due to drug overdose. Researchers are continually searching for solutions, as the current strategies have been ineffective. Health informatics platforms like electronic health records, telemedicine, and the clinical decision support system have great potential in tracking the healthcare data of patients on an individual basis and provide precise medical support in a private space. Such technologies have been found to be useful in identifying the risk factors of drug addiction among people and mitigating them. Moreover, the platforms can be used to check prescriptions of addictive drugs such as opioids and caution healthcare providers. Programs such as the Prescription Drug Monitoring Program (PDMP) and the Drug and Alcohol Services Information Systems (DASIS) are already in action in the US, but the situation demands more in-depth studies in order to mitigate substance use disorders. Artificial intelligence (AI), when combined with health informatics, can aid in the analysis of large amounts of patient data and aid in classifying nature of addiction to assist in the provision of personalized care.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Pers Med Year: 2024 Document type: Article Affiliation country: United States Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Pers Med Year: 2024 Document type: Article Affiliation country: United States Country of publication: Switzerland