<prompt> Nahana ka lintlha tse tharo tse ka sebelisoang tlhokomelong ea bophelo bakeng sa ho sebetsa puo ea tlhaho.nan  <response>: Instruction in English: Brainstorm three potential use cases in healthcare for natural language processing. . Response in English: 1 Clinical Documentation and Data Mining: Natural language processing NLP can be used to facilitate the creation of clinical documentation by processing the notes taken by a clinician - this can be done via speech-to-text conversion. NLP can also help data mining by using algorithms to extract and interpret relevant information from large amounts of unstructured data, such as electronic health records, lab results, or clinical notes, to support medical research, diagnosis, and treatment decisions.2 Virtual Health Assistants and Symptom Checkers: NLP can power virtual health assistants, chatbots, or symptom checkers that interact directly with patients. These tools can provide personalized health-related information, answer common medical questions, and help triage patients based on their reported symptoms, medical history, and other factors.3 Automated medical coding and billing: NLP can be applied to improve the process of medical coding and billing. By using NLP software, it is possible to automatically translate the clinical narrative into standardized medical codes that can be used for billing purposes, thus reducing the time, cost, and errors involved in manual coding. . Response in Sesotho: 1 Litokomane tsa Clinical Documentation le Data Mining: Tsebetso ea puo ea tlhaho NLP e ka sebelisoa ho thusa ho theha litokomane tsa kliniki ka ho sebetsana le lintlha tse nkiloeng ke ngaka - sena se ka etsoa ka phetoho ea puo-to-text. NLP e ka boela ea thusa ho rafa ha data ka ho sebelisa li-algorithms ho hula le ho toloka tlhahisoleseling e nepahetseng ho tsoa litsing tse ngata tse sa hlophisoang, joalo ka lirekoto tsa bophelo bo botle ba elektroniki, liphetho tsa laboratoring, kapa lintlha tsa bongaka, ho tsehetsa lipatlisiso tsa bongaka, tlhahlobo le liqeto tsa kalafo. 2 Bathusi ba Bophelo bo Botle ba Bophelo le Li-Symptom Checkers: NLP e ka matlafatsa bathusi ba bophelo bo botle, li-chatbots, kapa li-checkers tsa matšoao tse sebelisanang ka kotloloho le bakuli. Lisebelisoa tsena li ka fana ka lintlha tse amanang le bophelo bo botle, ho araba lipotso tse tloaelehileng tsa bongaka, le ho thusa ho lekola bakuli ho latela matšoao a bona a tlalehiloeng, nalane ea bongaka le lintlha tse ling. 3 Khoutu ea bongaka e ikemetseng le litefiso: NLP e ka sebelisoa ho ntlafatsa tsebetso ea likhoutu tsa bongaka le tefo. Ka ho sebelisa software ea NLP, hoa khonahala ho fetolela tlaleho ea bongaka ka bo eona hore e be likhoutu tse tloaelehileng tsa bongaka tse ka sebelisoang molemong oa ho lefella, ka hona ho fokotsa nako, litšenyehelo le liphoso tse amehang ho khouteng ka letsoho. 